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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/05/04 12:11:28 UTC

Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #720

See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/720/display/redirect?page=changes>

Changes:

[noreply] fix: JDBC config schema fields order

[Brian Hulette] Revert "Merge pull request #17255 from kileys/test-revert"

[Brian Hulette] BEAM-14231: bypass schema cache for

[noreply] [BEAM-13657] Follow up update version warning in __init__ (#17493)

[noreply] Merge pull request #17431 from [BEAM-14273] Add integration tests for BQ

[noreply] Merge pull request #17205 from [BEAM-14145] [Website] add carousel to

[noreply] [BEAM-14064] fix es io windowing (#17112)

[noreply] [BEAM-13670] Upgraded ipython from v7 to v8 (#17529)

[noreply] [BEAM-11104] Enable ProcessContinuation return values, add unit test

[Robert Bradshaw] [BEAM-14403] Allow Prime to be used with legacy workers.

[noreply] [BEAM-11106] Support drain in Go SDK (#17432)

[noreply] add __Init__ to inference. (#17514)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.39.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0428111004_2c94f719-13e6-4fb0-a082-af130d72b517 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 36s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/4qrxqwtbuybww

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/913/display/redirect?page=changes>

Changes:

[bulat.safiullin] [Website] update go-dependencies.md java-dependencies.md

[Kenneth Knowles] Fix checkArgument format string in ExecutionStateTracker


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1114100303_3ab951bd-fc29-4aa2-b2b0-a80748d2bebc failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 36s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/2rrevngtgbed2

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/912/display/redirect>

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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.1 azure-storage-blob-12.14.1 boto3-1.26.8 botocore-1.29.8 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.3 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.0.1 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.14.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.6 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.11 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.23.0 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-2.0.1 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.1 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.44 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.2 wrapt-1.14.1 zstandard-0.19.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1113100307_78f756ff-ec12-4e3e-bdc5-09cf85763b3c failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 30s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/gifmfbdd3r4yw

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #911

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/911/display/redirect?page=changes>

Changes:

[noreply] Add TFX support in pydoc (#23960)

[noreply] Bump cloud.google.com/go/bigtable from 1.17.0 to 1.18.0 in /sdks

[noreply] disable (#24121)

[noreply] Implement PubsubRowToMessage transform (#23897)

[noreply] upgrade testcontainer dependency (#24123)

[noreply] More cleanup containers (#24105)

[noreply] Bump github.com/aws/aws-sdk-go-v2/service/s3 in /sdks (#24112)

[noreply] Bump google.golang.org/api from 0.102.0 to 0.103.0 in /sdks (#24049)

[noreply] Update staging of Python wheels (#24114)

[noreply] Add a ValidatesContainer integration test for use_sibling_sdk_workers

[noreply] Fix checkArgument format string in TestStream (#24134)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1112100247_0710cab1-e6d6-4c3d-90b6-61695f7be058 failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 21s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/4hqol53mjxkac

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #910

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/910/display/redirect?page=changes>

Changes:

[Robert Bradshaw] Compute element counts for all PCollections.

[Robert Bradshaw] Add the ability to schedule splits on the ULR via a pipeline option.

[Robert Bradshaw] Add the a Reshuffle operation and use it in Create.

[Robert Bradshaw] Add dynamic splitting support to the worker.

[noreply] Update style

[Robert Bradshaw] Clarifying comments.

[Robert Bradshaw] Make mypy happy.

[Robert Bradshaw] Reduce flakiness of time-based split manager test.

[noreply] Fix FhirIO javadoc format broken (#24072)

[noreply] Bump github.com/aws/aws-sdk-go-v2/service/s3 in /sdks (#24077)

[noreply] [BEAM-12792] Install pipline dependencies to temporary venv (#16658)

[noreply] [Python]Set pickle library at the Pipeline creation stage (#24069)

[noreply] Improving stale container cleanup script (#24040)

[noreply] Add random string at the end of BigQuery query job name to make it

[noreply] [Playground] update snippet by persistence_key (#24056)

[noreply] [Tour Of Beam] handle CORS pre-flight requests (#24083)

[noreply] Num failed inferences (#23830)

[noreply] Bump github.com/aws/aws-sdk-go-v2/config from 1.5.0 to 1.17.10 in /sdks

[noreply] Add blog post on new ML resources (#24071)

[noreply] fixing linter error (#24104)

[noreply] Support using BigQueryIO Storage Read API with SchemaTransforms (#23827)

[noreply] Wire SamzaPipelineOptions to Exeption listener interface (#24109)

[noreply] Remove TheNeuralBit from the pool of Python reviewers (#24108)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1111100359_7cba718e-ade6-4707-994c-6509304d50bb failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 24s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/htuzk3y53jdcs

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #909

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/909/display/redirect?page=changes>

Changes:

[Moritz Mack] [Spark Dataset runner] Enable projection pushdown for Spark dataset

[noreply] Fix dependency mismatch in Playground Java runner  (#24059)

[noreply] added comments for tensorflow notebook (#23726)

[noreply] Convert initialisms to all caps (#24061)

[noreply] skip output coder field in exp request (#24066)

[noreply] test: add more tests to throughput estimator (#23915)

[noreply] Remove a duplicate label (#24043)

[noreply] Update datastore_wordcount.py (#23724)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1110100259_9139af6b-4885-430b-8538-e626932f8f35 failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 37s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/xlanikb2exrge

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #908

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/908/display/redirect?page=changes>

Changes:

[noreply] Update release notes. (#23986)

[noreply] [Go] Pipeline Resource Hints (#23990)

[noreply] [#21250] Trivial removal of loop over something that always has one

[noreply] Bump cloud.google.com/go/bigtable from 1.16.0 to 1.17.0 in /sdks

[noreply] Editorial review of the ML base API descriptions (#24026)

[noreply] Update my Twitter handle (#23653)

[noreply] Retroactively announce Batched DoFn support in 2.42.0 Blog (#24011)

[noreply] Bump cloud.google.com/go/storage from 1.27.0 to 1.28.0 in /sdks (#24028)

[noreply] [Go] Add pipeline resource hints to CHANGES.md (#24036)

[noreply] Handle Avro schema generation for logical data types in

[noreply] [Go SDK] S3 implementation of the Beam filesystem (#23992)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1109100254_def20858-8472-47ea-9641-baa840544f10 failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 28s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/g4oexklsxc7rc

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/907/display/redirect?page=changes>

Changes:

[Robert Bradshaw] Better surfacing of Scala support via Scio.

[bulat.safiullin] [Website] change case-study-card width on mobile

[vitaly.terentyev] Add sparkreceiver:2 module.

[vitaly.terentyev] Fix sparkreceiver dependencies

[noreply] Print diff and scope to state path

[noreply] Correctly print diff and swallow empty commits for the moment

[noreply] Remove quiet flag on debug

[noreply] Use git diff instead of git diff-index to avoid file timestamp changes

[noreply] Make `documentation/io/connectors/` canonical (#23877)

[noreply] [Tour of Beam] Learning content for "Introduction" module (#23085)

[noreply] feat: implement bigtable io connector with write capabilities (#23411)

[noreply] Bump google.golang.org/api from 0.101.0 to 0.102.0 in /sdks (#23957)

[noreply] Enforce splitting invariants by ensuring split state is reset in the

[noreply] Add files then check cached diff to get untracked files

[noreply] Switch && for || to fix bug in #23889 resolution (#24017)


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Successfully installed apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.1 azure-storage-blob-12.14.1 boto3-1.26.4 botocore-1.29.4 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.3 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.0.1 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.14.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.6 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.10 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.23.0 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-2.0.1 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.1 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.43 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.2 wrapt-1.14.1 zstandard-0.19.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1108100254_d2c4cd4f-c977-40af-8fdf-7cf89ecdf1bc failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

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Successfully installed apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.1 azure-storage-blob-12.14.1 boto3-1.26.3 botocore-1.29.3 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.3 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.0.1 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.14.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.6 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.10 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.23.0 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-2.0.0.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.1 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.43 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.2 wrapt-1.14.1 zstandard-0.19.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1107100257_ecafe56e-5c20-453b-bd46-658ec28a436f failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 32s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/2s36s2hyd4au6

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1106100244_8c435083-f90b-4dec-b2c6-97bfb34d8dd1 failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 26s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/2g45axi62ekls

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #904

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/904/display/redirect?page=changes>

Changes:

[Robert Bradshaw] Move logging to its own module.

[Robert Bradshaw] Cleanup worker logging.

[Robert Bradshaw] Add basic counter setting and getting to the typescript SDK.

[Robert Bradshaw] Support metrics over the portability API.

[Robert Bradshaw] Add distribution metric type.

[Robert Bradshaw] old prettier change

[noreply] Improve Iterator error message (#23972)

[noreply] Update watermark during periodic sequence/impulse (#23507)

[noreply] TFX image classification example (#23456)

[noreply] Immediately truncate full restriction on drain of periodic impulse

[noreply] [Task]: PR Bot will push commits only if they are non-empty (#23937)

[noreply] Bump cloud.google.com/go/datastore from 1.8.0 to 1.9.0 in /sdks (#23916)

[Robert Bradshaw] Remove obsolete TODO.

[Robert Bradshaw] Only report counters that were actually used.

[noreply] Add custom inference fn suport to the sklearn model handlers (#23642)

[noreply] removed trailing whitespace (#23987)

[noreply] Beam starter projects blog post (#23964)

[noreply] Enable more portable-runner requiring tests. (#23970)

[noreply] Website add and update logos (#23899)


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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.1 azure-storage-blob-12.14.1 boto3-1.26.3 botocore-1.29.3 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.3 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.0.1 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.14.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.6 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.10 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-2.0.0.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.1 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.43 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.2 wrapt-1.14.1 zstandard-0.19.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1105100249_1a256ad8-4f3d-42bb-aae0-4ad580c22bb9 failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 26s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/kmiryz4hgeo3y

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #903

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/903/display/redirect?page=changes>

Changes:

[ahmedabualsaud] emit load job IDs as soon as they come up

[ahmedabualsaud] style fix

[noreply] Concept guide on orchestrating Beam preprocessing (#23094)

[noreply] Initial draft of Batched DoFn user guide (#23909)

[noreply] WIP: Dataframe API ML preprocessing notebook (#22587)

[noreply] [Python] Added none check while accessing active_process_bundle (#23947)

[noreply] [Tour Of Beam] saving user code (#23938)

[noreply] Disable flaky fn_api_runner tests (#23971)

[noreply] Make BatchConverter inference errors more helpful (#23965)


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Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.1 azure-storage-blob-12.14.1 boto3-1.26.2 botocore-1.29.2 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.3 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.0.1 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.14.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.5 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.10 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-2.0.0.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.1 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.42 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.2 wrapt-1.14.1 zstandard-0.19.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1104100257_c31a1762-b7ae-40fc-bc09-772b35b3728c failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 25s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ibsmirjpoqy3e

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #902

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/902/display/redirect?page=changes>

Changes:

[Moritz Mack] Fix Spark 3 job-server jar path for Python test suites (closes #23935,

[noreply] Bump actions/setup-java from 3.5.1 to 3.6.0 (#23797)

[noreply] [CdapIO] Add integration tests for SparkReceiverIO (#23305)

[noreply] [Go] Ensure iterated and emitted types are registered. (#23890)

[chamikaramj] Updates Multi-language Java examples documentation

[noreply] [Python SDK] Re-enable PipelineOptionsTest.test_display_data (#23787)

[noreply] Unify PerformanceTest metric dashboard naming and series (#23914)

[noreply] Update REVIEWERS.yaml (#23955)

[Moritz Mack] [Spark dataset runner] Add direct translation of Combine.GroupedValues


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1103100250_e093f0b2-44d3-4168-ae24-e5b309382c76 failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 26s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/hgnchsd4bp4bw

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Changes:

[bulat.safiullin] [Website] add shuffle to logos

[noreply] Remove Dataflow Portability test suite from mass_comment.py

[noreply] Add jupyter notebook for using RunInference with sklearn, pytorch and

[noreply] Add WriteParquetBatched  (#23030)

[noreply] Validate if user exists for author (#23761)

[noreply] Add notebook for doing remote inference in Beam (#23887)

[noreply] Fix python examples tests not running in Dataflow (#23546)

[noreply] Add support for converting to/from pyarrow Arrays (#23894)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1102100258_ab4c7255-8f0d-4df4-aff0-604973d91d76 failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 27s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/pdgrbmuoy2vik

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Changes:

[yathu] Fix Beam Sql does not support CHAR, VARCHAR, BINARY, VARBINARY

[noreply] Add brief descriptions about end-to-end ML Pipelines (#23880)

[yathu] Remove debug leftover

[noreply] Disable `optimizeOuterThis` when building with JDK > 8 (#23902)

[noreply] [Playground] [Backend] Update playground cache component to increase

[noreply] Upgrade Akvelon editor (#23415) (#23900)

[noreply] [Website] update additional case studies layout and scss (#23555)

[noreply] [Website] add shuffle to logos (#23847)

[noreply] Clean-up DatastoreV1.java (#23892)

[noreply] Add LogElements as a Beam PTransform (#23879)

[noreply] Fix incorrect object size calculation in StateCache (#23000) (#23886)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1101100244_3c0f6857-79bb-4c1d-89a1-0e71d9aafeec failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 27s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/oc46udgrjuope

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/899/display/redirect?page=changes>

Changes:

[noreply] Fixing branch verification for Run RC Validation and Verify Release

[noreply] Fix link in `basics` (#23399)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1031100252_0a7f9d45-c8e4-49c5-b997-0872ffdd6a7d failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 31s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/mjnkulhzeaxu4

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.1 boto3-1.25.4 botocore-1.28.4 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.13.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.5 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.10 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.1 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.5 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.42 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.19.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1030100256_bc83b7fd-1635-48d7-b06f-f03620ff8bd2 failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 27s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/3ufin2qticjfq

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #897

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/897/display/redirect?page=changes>

Changes:

[bulat.safiullin] [Website] update calendar section mobile classes #22694

[Robert Bradshaw] More bigquery native sink cleanup.

[noreply] Fix BigQueryIO Performance Test Streaming (#23857)

[noreply] adding examples in schema transforms section of programming guide for


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1029100248_034260f6-9ac9-4780-aa2f-5f75d3a32cb8 failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 29s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/mcd2thbh25zcm

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/896/display/redirect?page=changes>

Changes:

[Heejong Lee] [BEAM-23836] Updating documentation for cross-language Java pipelines

[Heejong Lee] update

[Heejong Lee] update

[Heejong Lee] update

[Alexey Romanenko] [23832] Update CHANGES.md

[noreply] [Tour Of Beam] User authorization part 1 (#23782)

[noreply] [BEAM-23815] Fix Neo4j tests. (#23862)

[noreply] Add `arrow_type_compatibility` with `pyarrow.Table` to Beam Row

[noreply] Reduce log spam of Py37PostCommit (#23829)

[noreply] Actually use the DatsetService that will be auto-closed (#23873)

[noreply] Migrate BINARY, VARBINARY, CHAR, VARCHAR jdbc logical types to portable

[noreply] [BEAM-12164] Feat: Added SpannerChangeStreamIT to Cloud Spanner Change

[noreply] Use --release 8 for builds targeting Java 8 (#23771)


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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.1 boto3-1.25.3 botocore-1.28.3 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.13.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.5 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.10 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.1 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.5 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.42 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1028100307_3029ec72-7b34-497d-94a1-8636b019d91c failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 30s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/knq2iuuw4bptk

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #895

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/895/display/redirect?page=changes>

Changes:

[Moritz Mack] Bump dropwizard metrics-core for Spark 3 runner to match the version

[Moritz Mack] Remove obsolete code from Spark 3 runner.

[noreply] Fixing Get Started header link (#23490)

[noreply] Bump cloud.google.com/go/bigquery from 1.42.0 to 1.43.0 in /sdks

[noreply] Bump google.golang.org/api from 0.100.0 to 0.101.0 in /sdks (#23842)

[noreply] Update ReadDataFromKinesis URN to registered URN (fixes #23693) (#23849)

[noreply] [23832] Remove ParquetIO.withSplit (closes #23832) (#23833)

[noreply] Bump github.com/spf13/cobra from 1.6.0 to 1.6.1 in /sdks (#23822)

[noreply] [Go SDK] Add tests to the metrics package (#23769)

[noreply] Bump cloud.google.com/go/pubsub from 1.25.1 to 1.26.0 in /sdks (#23823)

[noreply] Updated documentation to point to notebooks instead of having samples

[noreply] Post 2.42.0 Updates to release guide (#23672)

[noreply] Add Go usage instructions to download page. (#23698)

[noreply] Deactivate Dask Runner code coverage tests as workaround (#23841)

[noreply] Use Akvelon editor (#23415) (#23825)


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Successfully installed apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.1 boto3-1.25.2 botocore-1.28.2 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.13.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.5 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.10 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.3 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.1 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.5 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.42 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1027113839_eadc000f-616d-437d-997c-ad6c87811433 failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 30s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/manlf3nx36h2w

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Changes:

[Kenneth Knowles] Enable checkerframework by default

[noreply] granting ruslan shamunov triage rights (#23806)

[noreply] Bump google.golang.org/api from 0.99.0 to 0.100.0 in /sdks (#23718)

[noreply] Initial DaskRunner for Beam (#22421)

[noreply] [Website] update PULL_REQUEST_TEMPLATE.md (#23576)

[noreply] [Website] change width of the additional case studies cards (#23824)

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[noreply] Support keyed executors in Samza Runner to process bundles for stateful


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1026100253_0011035e-dc79-499d-befa-0132f66ce8cc failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 35s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/2ix7btkffwr2u

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #893

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/893/display/redirect?page=changes>

Changes:

[Andrew Pilloud] Publish Python nexmark metrics to influxdb

[Andrew Pilloud] Exclude nexmark from codecov, it has no tests

[noreply] Updated ipywidgets

[yathu] Bump dataflow java fn container version to  beam-master-20221022

[noreply] Ignoring BigQuery partitions with empty files (#23710)

[noreply] Benchmarking RunInference Example (#23554)

[Kiley Sok] Increate timeout for test pipelines

[noreply] Bump Dataflow python containers to 20221021 (#23807)

[noreply] Allow MoreFutures.allAsList/allAsListWithExceptions to have the passed


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1025100257_9acce5f0-cca8-4d80-8a66-da74e1dbf477 failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 57s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/vv3o5iviuepos

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #892

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/892/display/redirect?page=changes>

Changes:

[noreply] Remove unnecessary dependencies from jpms test (#23775)

[noreply] Use Spark 3 job-server as default Spark job-server for PortableRunner

[noreply] Support usage of custom profileName with AWS ProfileCredentialsProvider

[noreply] Migrate examples and maven-archetypes (including Java Quickstart) to

[Moritz Mack] Update remaining pointers to Spark runner to Spark 3 module (addresses


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1024100303_cd4ad363-38e8-4da5-acd6-3b403680b758 failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 57s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/j3vmfeg5imgkm

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #891

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See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/891/display/redirect?page=changes>

Changes:

[noreply] Merge pull request #23556: Forward failed storage-api row inserts to the


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Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.1 boto3-1.24.96 botocore-1.27.96 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.13.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.5 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.10 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.3 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.0 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.4 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.5 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.42 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1023100252_3dc30677-07d2-4e2a-bf31-ecd59cc88d2d failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 25s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ddiq2thg7z4to

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #890

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/890/display/redirect?page=changes>

Changes:

[Moritz Mack] Remove obsolete sparkRunner task from hadoop-format: not triggered, no

[noreply] bugfix/wrong-notebook-linl (#23777)

[noreply] [CdapIO] Integration CdapIO with SparkReceiverIO (#22584)

[noreply] Avoid Circular imports related to bigquery_schema_tools (#23731)

[noreply] Use Flink 1.13 for load tests (#23767)

[Kenneth Knowles] Re-enable PubsubTableProviderIT.testSQLSelectsArrayAttributes

[noreply] Remove obsolete native text io translation. (#23549)

[noreply] Eliminate nullness errors from GenerateSequence (#23744)

[noreply] Add logos to case-studies "Also Used By" (#23781)

[noreply] Avoid pickling unstable reference to moved proto classes. (#23739)

[Robert Bradshaw] Unskip test_generated_class_pickle for cloudpickle.

[noreply] Allow local packages in requirements.txt dependency list. (#23684)

[noreply] Revert "Update BQIO to a single scheduled executor service reduce

[noreply] Updates Python test expansion service to use Cloud Pickle (#23786)

[noreply] Merge pull request #23795: Revert 23234: issue #23794


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1022100252_2ce3a9ca-4896-4dae-926a-085614b6fa7c failed in state FAILED: org.apache.flink.shaded.jackson2.com.fasterxml.jackson.databind.exc.MismatchedInputException: Cannot map `null` into type `long` (set DeserializationConfig.DeserializationFeature.FAIL_ON_NULL_FOR_PRIMITIVES to 'false' to allow)
 at [Source: UNKNOWN; line: -1, column: -1] (through reference chain: org.apache.flink.runtime.rest.messages.job.JobDetailsInfo["maxParallelism"])

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 19s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/jrucokffx7xwe

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #889

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/889/display/redirect?page=changes>

Changes:

[noreply] Issue#23599 Updated dataframe notebook

[noreply] Added a missing line break.

[Kenneth Knowles] Verify that secondary key coder is deterministic in SortValues

[Chamikara Madhusanka Jayalath] Updating Python dependencies for the 2.43.0 release

[thiagotnunes] tests: fixes SpannerIO unavailable retry test

[noreply] Remove yeandy from reviewers (#23753)

[noreply] Revert bigdataoss version upgrade (#23727)

[Chamikara Madhusanka Jayalath] Moving to 2.44.0-SNAPSHOT on master branch.

[noreply] Update the timeout in ValidatesContainer suite. (#23732)

[riteshghorse] fix lints

[noreply] Update google cloud vision >= 2.0.0 (#23755)

[noreply] Update GcsIO initialization to support converting input parameters to

[noreply] Adds instructions for running the Multi-language Java quickstart from

[noreply] Remove Spark2 from Java testing projects (addresses #23728) (#23749)


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Successfully installed apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.1 boto3-1.24.95 botocore-1.27.95 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.13.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.5 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.10 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.3 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.0 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.4 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.5 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.42 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1021100312_151a5ad5-05bb-4d5b-aca8-0074bddfce70 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 26s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/76ptxgxsctf6q

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #888

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/888/display/redirect?page=changes>

Changes:

[Moritz Mack] Keep Spark version in a single place only (BeamModulePlugin)

[noreply] Update release instructions in Python 3.10 (#23702)

[noreply] Move Tensorflow Documentation (#23729)

[noreply] Bump golang.org/x/text from 0.3.7 to 0.4.0 in /sdks (#23686)

[noreply] Unit Content markdown styles (#23592) (#23662)

[noreply] Add reopen issue command (#23733)

[noreply] Add example of real time Anomaly Detection using RunInference (#23497)

[noreply] Support TIMESTAMP type in BigQueryIO with BEAM_ROW output type, and in

[noreply] Add PytorchBatchConverter (#23296)

[noreply] Pin version to grpcio in build-requirements.txt (#23735)

[noreply] Bump up python container versions. (#23716)

[noreply] Reduce log flood in Python PostCommit flink task (#23635)

[noreply] Speed up check on website links (#23737)


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Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.1 boto3-1.24.94 botocore-1.27.94 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.13.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.5 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.10 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.3 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.0 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 proto-plus-1.22.1 psycopg2-binary-2.9.4 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.5 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.42 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1020115025_c4a1733b-b054-486b-a696-2ba2ff7d2706 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 51s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/p663mie3vcbdu

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #887

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/887/display/redirect?page=changes>

Changes:

[Robert Bradshaw] Remove numpy C API dep from public declarations.

[Andrew Pilloud] Migrate nexmark to common config for cron jobs

[Kiley Sok] beam-perf

[Kiley Sok] fix

[noreply] [GitHub Actions] - Run RC Validations Workflow  (#23531)

[noreply] Add workflow to update milestone on issue close (#23629)

[noreply] add website page about data processing for ML (#23552)

[noreply] [Go SDK] Dataframe API wrapper  (#23450)

[noreply] [Go SDK]: Adds Automated Python Expansion Service (#23582)

[noreply] Include CombineFn's in __all__ (#23685)

[noreply] Bump google.golang.org/grpc from 1.50.0 to 1.50.1 in /sdks (#23654)

[noreply] [Playground][Frontend] Tags filter for Examples Catalog (#22074)

[noreply] [Go SDK] Extract output coders in expandCrossLanguage (#23641)

[noreply] Python 3.10 support (#23587)

[noreply] Fixes #22192: Avoids nullpointer error. Preserves previous behavior.

[noreply] Deflaking tests for BQ row insertions. These tests were flaky due to

[noreply] Add java 11 home to jenkins test (#23708)

[noreply] enable automatic expansion service (#23699)

[noreply] add expansion service option (#23712)

[noreply] Downgrade container cryptography version to avoid yanked version

[noreply] Update portable runner test timeout (#23696)

[noreply] Merge pull request #23510: Vortex multiplexing streams

[noreply] Io jms fix ack message checkpoint (#22932)

[noreply] [Playground] Examples CD (#23664)


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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.1 boto3-1.24.93 botocore-1.27.93 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.13.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.5 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.10 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.3 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.5.2 orjson-3.8.0 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.4 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.5 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.42 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1019113202_7485f31f-ff5c-4ee3-89e3-2ada79f12cf9 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 43s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/zcxzgtn7kczgq

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #886

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/886/display/redirect?page=changes>

Changes:

[Moritz Mack] [Jenkins,Spark] Stop running Nexmark suite for deprecated Spark 2 runner

[noreply] [Playground] Examples CI (#23476)

[noreply] [Tour Of Beam] README update (#23318)

[noreply] Bump google.golang.org/api from 0.98.0 to 0.99.0 in /sdks (#23655)

[noreply] Fix  beam_PerformanceTests_PubsubIOIT_Python_Streaming (#23607)

[Alexey Romanenko] [TPC-DS] Use "nonpartitioned" input for Jenkins jobs

[noreply] 2.42.0 Release Blog Post  (#23406)

[noreply] Docs for state in go (#22965)

[noreply] Fix typo in 2.42.0 blog.

[noreply] Adjust 2.42.0 publishing time.

[noreply] Adds a Java RunInference example (#23619)

[noreply] Fixes #23627: Speed up website checks (#23673)

[noreply] Suppress a FloatingPointLiteralPrecision error (#23667)

[noreply] Improved test coverage and fix the implementation of Inject and CoGBK

[noreply] Fix python log_level_overrides cannot be used on flink and other

[noreply] Better error for disabling runner v2 with cross language pipelines.

[noreply] Update scopes to match the existing set and update test to clear


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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1018100309_38a86066-779d-4e36-bc47-c75330b94061 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 50s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/5mstn4jadwlj6

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Changes:

[noreply] Blog post for Hop web in Google Cloud (#23652)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1017111558_bfa1d52b-a776-4841-8a2a-7094cb3c6c4d failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 40s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/kv4qq5fmk4iu6

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Changes:

[noreply] [GitHub Actions] - Verify Release Build Workflow  (#23390)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1016100252_176364d8-3935-4ae6-b0c1-5c9fa8d0754a failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 37s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/3nfxa4wnrnhby

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #883

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/883/display/redirect?page=changes>

Changes:

[Moritz Mack] Minor improvements to the tpcds gradle build for Spark

[Moritz Mack] Fix SparkSessionFactory to not fail when using Spark master local[*]

[Moritz Mack] [Spark dataset runner] Add direct translation of Reshuffle and

[noreply] Make GCP OAuth scopes configurable via pipeline options. (#23644)

[noreply] Update BQIO to a single scheduled executor service reduce threads


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Successfully built crcmod dill google-apitools apache-beam docopt
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1015100255_f062015c-a79e-4444-ad7e-202dc1dc9771 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 46s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/4y2ircnt4e2qa

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/882/display/redirect?page=changes>

Changes:

[Kiley Sok] Add agent to open modules

[Kiley Sok] check for empty

[Kiley Sok] limit to jamm and update comments

[Kiley Sok] reuse options, pr comments

[rszper] Added content: The direct runner is not suited to production pipelines

[yixiaoshen] Remove artificial timeout in FirestoreV1IT, Dataflow runner is very slow

[Moritz Mack] Align translation logging for Spark dataset runner with rdd runner for

[noreply] Use new github output format (#23624)

[noreply] Tour of Beam frontend state management (#23420) (#23572)

[noreply] Update

[noreply] Merge pull request #23524: Adding beam blog info to the Community page

[noreply] Update publish_release_notes to generate PR list (#23630)

[noreply] Bump Legacy dataflow container image tag (#23625)


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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1014100301_00a157d6-f2cc-4f5d-831a-bd53cc77e64a failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #881

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/881/display/redirect?page=changes>

Changes:

[noreply] Migrate GcsOptions#getExecutorService to an unbounded

[noreply] (BQ Java) Explicitly set coder for multi-partition batch load writes 

[noreply] Fix typo in bootstrap_beam_venv.py (#23574)

[noreply] Bump github.com/spf13/cobra from 1.5.0 to 1.6.0 in /sdks (#23591)

[noreply] [Playground][Tour Of Beam] Datastore entities split by origin (#23088)

[noreply] use write schema only for read api (#23594)

[noreply] [Go SDK]: SingleFlight bundle descriptor requests (#23589)

[noreply] Extend a timeout to create a bt cluster. (#23617)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1013100255_d7e4c077-5d13-49e2-85d5-f8b6d68ff74d failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 45s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ym7xecvhv5zj2

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #880

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/880/display/redirect?page=changes>

Changes:

[git] BEAM-13592 Add getOrderingKey in

[git] Add CHANGES entry

[git] Rename transform name according to review comment

[git] Update  to pass ordering key

[egalpin] Adds ordering key to OutgoingMessage builder, adds new coders to pubsub

[egalpin] Fixes pubsub bounded writer allowing for orderingKey

[egalpin] Alters order of pubsub message support in registrar

[egalpin] Removed publishTime and messageId in grpc pubsub client publish

[egalpin] Attempts to allow different pubsub root url for PubsubIO.Write

[egalpin] Fixes pubsub tests root url

[egalpin] Puts PubsubMessageCoder last in registrar

[egalpin] Uses MoreObjects over Objects

[egalpin] Renames PubsubMessageCoder to

[Robert Bradshaw] Add a multi-process shared utility.

[Robert Bradshaw] Add fastener dependency.

[Robert Bradshaw] Refactor to have an explicit acquire/release API.

[Robert Bradshaw] Drop a TODO about deferred construction parameterization.

[Robert Bradshaw] Fix unused import/var.

[Moritz Mack] Replace website references to deprecated aws / kinesis modules with more

[noreply] fix distribution example in golang guide (#23567)

[Alexey Romanenko] [website][adhoc] Fix spellcheck errors and typos

[noreply] Add database role to SpannerConfig for role-based access control.

[noreply] Remove obsolete and deprecated bigquery native read. (#23557)

[noreply] Feature/name all java threads (#23387)

[noreply] [Go SDK] Don't construct plans in lock section. (#23583)

[noreply] Remove obsolete and deprecated bigquery native write. #23557 (#23558)

[noreply] Increase Python PostCommit timeout. (#23595)


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Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.0 boto3-1.24.89 botocore-1.27.89 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.12.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.5 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.9 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.2 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.4 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.4 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.41 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1012100251_86ba6ec3-e229-4afd-8439-1e632a812321 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 31s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/t2swc7mpgx4pa

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #879

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/879/display/redirect?page=changes>

Changes:

[bulat.safiullin] [Website] update python-dependencies.md link #23478

[bulat.safiullin] [Website] update styles of iframe with video #23499

[bulat.safiullin] [Website] add version.html to shortcodes, update jet.md 22985

[Moritz Mack] Downgrade Scala version in Spark job-server to prevent Scala

[noreply] Support named databases in Firestore connector. Fix and enable Firestore

[noreply] [fixes #23000] Update the Python SDK harness state cache to be a loading

[noreply] Fix permission for Build python wheel branch_repo_nightly step (#23563)

[noreply] [Playground] complexity indicator (#23477)

[noreply] Reolling forward property-based tests for coders (#23425)

[noreply] Updated README for jupyterlab-sidepanel


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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1011100310_24a0b957-f314-4f7d-81bc-8fda0863aba7 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 42s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/3kgwht2gdmuxm

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Posted by Apache Jenkins Server <je...@builds.apache.org>.
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Building wheels for collected packages: apache-beam
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Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.13.1 boto3-1.24.89 botocore-1.27.89 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.12.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.3 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.7 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.1 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.4 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.4 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1010100257_460f5661-8066-45be-9876-8674e2b4bab6 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 3m 4s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/rka66sk4kukdq

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #877

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See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/877/display/redirect?page=changes>

Changes:

[noreply] Merge pull request #23547: update bom to the latest one.


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1009100259_654ce697-ab68-473e-9b91-6e3a6c26d39b failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 31s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/zkzwdmdsppjpg

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #876

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/876/display/redirect?page=changes>

Changes:

[Moritz Mack] Correctly detect retryable TransientKinesisExceptions (fixes #23517)

[noreply] Bump actions/stale from 5 to 6 (#23331)

[noreply] Fix small error message typo

[noreply] Fixing right nav on Get Started page (#23543)

[noreply] Bump google.golang.org/grpc from 1.49.0 to 1.50.0 in /sdks (#23533)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1008100306_41db40cc-7366-49b4-99a7-8021fea03e16 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 38s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/q7bwqzgstao2e

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #875

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/875/display/redirect?page=changes>

Changes:

[noreply] Fix broken link in online clustering documentation (#23516)

[toran.sahu] fix typo - s/befrehand/beforehand

[noreply] Grant actions using GITHUB_TOKEN the appropriate permission set (#23521)

[noreply] Fix failing Py37 BQ file loads test (#23334)

[noreply] [Website] update links to https (#23523)

[noreply] Support custom avro DatumReader when reading from BigQuery (#22718)

[noreply] Rename 'clean' Gradle task that required Flutter and has been breaking

[noreply] Model handler unit test (#23506)

[noreply] Content/multi model pipelines (#23498)

[noreply] [Tour of Beam][Frontend] Content Tree and SDK models (#23316) (#23417)

[noreply] Fix bug where `astype(CategoricalDtype)` is rejected (#23513)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1007100305_8e410254-1c1e-4583-be9b-4e190ad64fd0 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 41s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/zkcufqw5g7ri2

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Changes:

[noreply] group_id (#23445)

[noreply] Give issue tagger permission to write issues (#23485)

[noreply] Update UID (#23486)

[noreply] Improve error message in GcsUtil (#23482)

[noreply] Add more typescript examples to the programming guide. (#23058)

[noreply] Merge pull request #23505: opt in for schema update. addresses #23504

[noreply] fix: only report backlog bytes on data records (#23493)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1006100258_e09f5705-a308-4c61-9376-442f03848377 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 53s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/2idry3ay5bsya

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #873

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/873/display/redirect?page=changes>

Changes:

[ningkang0957] Prep sidepanel 3.0.0 release

[noreply] AI/ML pipelines master page documentation (#23443)

[noreply] Fix go fmt error (#23474)

[noreply] Revert "Add drop_example flag to the RunInference and Model Handler

[noreply] Documented supported PyTorch versions (#22974)

[noreply] [Go SDK] Add fake impulse for inputs in Xlang Transform (#23383)

[noreply] Write permissions for issue closer/assigner

[noreply] GA Migration Adding Removal of /.m2/settings.xml (#23481)

[noreply] Bump google-cloud-spanner version for py containers (#23480)

[Moritz Mack] Ensure Java JMH benchmark tasks run sequentially to prevent failure when

[Moritz Mack] Fix validation of measurement name in InfluxDBPublisher (addresses


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Building wheels for collected packages: apache-beam
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Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.86 botocore-1.27.86 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.12.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.3 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.7 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.1 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.4 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1005110352_ff6f8755-f02e-4bd9-bf6f-c03f244fe790 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 5s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ds3tzmqetxqcq

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #872

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/872/display/redirect?page=changes>

Changes:

[bulat.safiullin] [Website] fix navbar footer overlap #22698

[noreply] [Tour Of Beam] return taskSnippetId/solutionSnippedId (#23419)

[noreply] Beam 21465 add requires stable input (#23230)

[noreply] [Website] Add new Java quickstart (#22747)

[Robert Bradshaw] Require time-bound flag for non-UW streaming Python jobs for new SDKs.

[noreply] Fix JdbcIOIT, which seems to have never worked (#21796)

[noreply] Support DECIMAL logical type in python SDK (#23014)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1004100258_79449c96-9977-4394-99d9-7f7054f4d074 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/otbceij44wua2

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1003100252_ea0bed0d-d18a-42eb-9232-e7611229b58a failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 47s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/gdwqy4gbnvszc

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #870

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/870/display/redirect?page=changes>

Changes:

[noreply] JdbcIO fetchSize can be set to Integer.MIN_VALUE (#23444)


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Successfully built apache-beam
Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.84 botocore-1.27.84 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.12.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.3 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.7 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.0 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.4 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1002100254_cec9f0e2-9f51-49e1-9b44-9a8485dc9478 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 34s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/rijidhmqypxfu

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #869

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/869/display/redirect?page=changes>

Changes:

[Robert Bradshaw] Batch encoding and decoding of schema data.

[Robert Bradshaw] Add microbenchmark for batch row encoding.

[Robert Bradshaw] Add batch testing for standard row coders.

[noreply] RunInference Benchmarks UI (#23426)

[noreply] Relax `pip` check in setup.py to allow installation via other package

[noreply] replaced tabs with spaces in readme file (#23446)

[noreply] [Playground] [Backend] Adding the tags field to the example response

[noreply] [Playground] [Backend] Edited the function for getting executable name

[noreply] Fix type inference for set/delete attr. (#23242)

[noreply] Support VR test including TestStream for Spark runner in streaming mode

[noreply] Add cron job to trigger Java JMH micro-benchmarks weekly  (#23388)


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Building wheels for collected packages: apache-beam
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Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.84 botocore-1.27.84 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.12.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.3 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.7 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.0 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-1001100256_2de3f3c2-a33b-4196-b3af-70a360c67342 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/7dywxlcw4yvwe

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #868

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/868/display/redirect?page=changes>

Changes:

[Robert Bradshaw] Python cross language docs.

[srohde] Add documentation link to the interactive environment

[noreply] Fix Small pytorch notebook bug fix (#23407)

[noreply] PubsubIO - Improve limit validations to consider attributes (#23023)

[noreply] Example of Online Clustering  (#23289)

[noreply] Bump google.golang.org/api from 0.97.0 to 0.98.0 in /sdks (#23394)

[noreply] Increase Go Dataflow Postcommit timeout to 5h (#23423)

[noreply] [Playground] [Backend] Updating endpoints for playground examples

[noreply] Send JavaScript messages to Playground iframes when switching the

[noreply] [Playground] [Backend] Adding SDK to the example response (#22871)

[noreply] [Playground] [Backend] Removing the code related to the Cloud Storage

[noreply] [BEAM-10785] Change RowAsDictJsonCoder to not ensure ASCII while

[noreply] Update Python katas to latest version of EduTools and Beam 2.41 (#23180)


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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0930100254_6466ab5c-f959-4999-a57e-6e9e148cb1b7 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 29s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/j3ngcdsyofleq

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #867

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/867/display/redirect?page=changes>

Changes:

[noreply] [Tour Of Beam] API adjustments (#23349)

[noreply] Adds support in Samza Runner to run DoFn.processElement in parallel

[noreply] Regenerate Go Protos (#23408)

[noreply] Support google-cloud-spanner v3 and fixes broken unit tests (#23365)

[noreply] Add relevant docs to Cloud Profiler exceptions. (#23404)

[noreply] Update state cache to not fail when measuring object sizes. (#23391)


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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0929100311_13422154-724c-4705-b210-408fffe05f2e failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 32s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ydbdychg4zsb6

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #866

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/866/display/redirect?page=changes>

Changes:

[shaojwu] make identifier of Date&DateTime to be a public static field

[shaojwu] make identifier of Time to be a public static field

[noreply] RunInference Benchmarks UI (#23371)

[noreply] set upper bound on google-cloud-profiler (#23354)

[noreply] Add ISSUE#23071 to CHANGES.md (#23297)

[noreply] Pin objsize version to avoid regression in 0.6.0 (#23396)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0928100251_1b257f7e-9c49-4ead-b84f-98f4670692a5 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 40s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/fjzjlpgkld52e

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #865

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/865/display/redirect?page=changes>

Changes:

[noreply] Bump org.nosphere.apache.rat from 0.7.0 to 0.8.0 (#23330)

[ningkang0957] Upgraded Flink on Dataproc support from Interacitve Beam

[noreply] GA Migration PreCommit and PostCommit Tables in CI.md (#23372)

[noreply] Stack Trace Decoration for Beam Samza Runner (#23221)

[noreply] [#22478]: Add read_time support to Google Firestore connector (#22966)

[noreply] Changes CoGroupByKey typehint from List to Iterable (#22984)

[noreply] Fix TextSource incorrect handling in channels that return short reads.

[noreply] Add a tensorflow example to the run_inference_basic notebook (#23173)


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Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.81 botocore-1.27.81 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.7 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0927100257_8e9ba978-41ee-440f-beb9-ae59102492ad failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 16s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/wpbcyogqvoria

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #864

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See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/864/display/redirect?page=changes>

Changes:

[noreply] Bump Java FnApi Container version to beam-master-20220923 (#23352)


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Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.80 botocore-1.27.80 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.7 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0926100253_371d2fd1-81e7-4463-bc62-e16c1d8def0c failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/xyfnbnrg2b5p6

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #863

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/863/display/redirect?page=changes>

Changes:

[noreply] Extract playground components (#23253)


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Building wheels for collected packages: apache-beam
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Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.80 botocore-1.27.80 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.7 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0925100257_d13deb0e-7d72-4004-955b-82545110d276 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 42s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #862

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/862/display/redirect?page=changes>

Changes:

[noreply] Bump cloud.google.com/go/storage from 1.26.0 to 1.27.0 in /sdks (#23336)

[noreply] lint fixes to go (#23351)

[noreply] Bump cloud.google.com/go/bigquery from 1.41.0 to 1.42.0 in /sdks


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Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.80 botocore-1.27.80 cachetools-4.2.4 certifi-2022.9.14 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.7 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0924100253_e6f67df4-9552-4999-aded-c8d5f53f7aae failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 36s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/2gstfylrf7ip6

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #861

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/861/display/redirect?page=changes>

Changes:

[Steve Niemitz] use avro DataFileReader to read avro container files

[noreply] Change google_cloud_bigdataoss_version to 2.2.8. (#23300)

[Moritz Mack] Fix Nexmark default log level


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0923100257_786a4de3-8413-47d6-90fb-1d69cd135367 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 43s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/b6bxkuzdpj7gs

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #860

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/860/display/redirect?page=changes>

Changes:

[bvolpato] Do not use .get() on ValueProvider during pipeline creation

[noreply] [Java SDK core] emit watermark from PeriodicSequence (#23301) (#23302)

[noreply] Extend protocol in windmill.proto used by google-cloud-dataflow-java

[noreply] Allow longer Class-Path entries (#23269)

[noreply] Improved pipeline translation in SparkStructuredStreamingRunner (#22446)


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Successfully built apache-beam
Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.78 botocore-1.27.78 cachetools-4.2.4 certifi-2022.9.14 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0922100302_315f5436-d0fe-4eb7-b7c6-f78191c79ca6 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 43s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/iurbpeyh4evj2

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #859

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/859/display/redirect>

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Building wheels for collected packages: apache-beam
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Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.77 botocore-1.27.77 cachetools-4.2.4 certifi-2022.9.14 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0921100307_b39a9ef1-473e-4018-8c15-1418393cef20 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 3m 42s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/vythl66e2gs52

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #858

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/858/display/redirect?page=changes>

Changes:

[Pablo Estrada] Revert "Trying out property-based tests for Beam python coders (#22233)"

[noreply] Bump google.golang.org/api from 0.95.0 to 0.96.0 in /sdks (#23246)

[noreply] [Go SDK] Add timer coder support (#23222)

[noreply] Fix wrong comment (#23272)

[noreply] [Playground] [Backend] Cache component for playground examples (#22869)

[noreply] [BEAM-13416] Introduce Schema provider for AWS models and deprecate low

[noreply] [BEAM-14378] [CdapIO] SparkReceiverIO Read via SDF (#17828)


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Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.76 botocore-1.27.76 cachetools-4.2.4 certifi-2022.9.14 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0920100255_37261adb-204e-4369-bacb-550e0c7a2f33 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 41s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/jw75rnqgemyca

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #857

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/857/display/redirect?page=changes>

Changes:

[noreply] Enable verbose output for RAT Precommit (#23279)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0919100253_05dfda91-0a99-4f15-837d-a954cbb4743b failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 51s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/bsvgwq5yylqeq

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #856

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/856/display/redirect?page=changes>

Changes:

[noreply] updated the pydoc for running a custom model on Beam (#23218)

[noreply] Add drop_example flag to the RunInference and Model Handler (#23266)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0918100258_fb95d268-0750-4012-b04f-459777717f6e failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 45s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ajr7zcvqsp6uc

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #855

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/855/display/redirect?page=changes>

Changes:

[noreply] Bump cloud.google.com/go/bigquery from 1.40.0 to 1.41.0 in /sdks

[noreply] [Website] Correct spelling of structural (#23225)

[noreply] TensorRT Initial commit (#22131)

[noreply] Fix Kafka performance test sourceOption to match expected hash (#23274)


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Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.75 botocore-1.27.75 cachetools-4.2.4 certifi-2022.9.14 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.54.5 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0917100246_696ff925-83f7-45ce-a27e-3538257bae85 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 48s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/kkdg5s2wfad74

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Changes:

[bulat.safiullin] [Website] update site navigation  #22902

[noreply] Pass namespace through RunInference transform (#23182)

[noreply] [GitHub Actions] - INFRA scripts to implement GCP Self-hosted runners

[noreply] GA migration - Base actions to use for precommit and postcommit

[noreply] Test fix Kafka Performance test batch (#23191)

[noreply] Revert "Exclude protobuf 3.20.2" (#23237)

[noreply] Fix outdated code in python sdk install (#23231)

[noreply] Bump up dataflow python container version to beam-master-20220914

[noreply] Improve the performance of TextSource by reducing how many byte[]s are

[noreply] Issue#21430 Avoid pruning DataframeTransforms (#23069)


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Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.74 botocore-1.27.74 cachetools-4.2.4 certifi-2022.9.14 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.54.5 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0916100240_8ef8233e-1978-4061-9c83-49eba9abda55 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 43s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ima5elsjmsshu

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #853

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/853/display/redirect?page=changes>

Changes:

[noreply] Fix assignees check

[noreply] Exclude protobuf 3.20.2 (#23226)

[noreply] Fix IllegalStateException in StorageApiWriteUnshardedRecords error

[noreply] Update cibuildwheel (#23024)

[noreply] Add section to docs on resource hints/RunInference (#23215)

[noreply] (BQ Python) Perform job waits in finish_bundle to allow BQ streaming

[noreply] Update to newest version of CloudPickle. (#23223)

[noreply] Resolve script parsing error when changing from bash to sh. (#23199)

[noreply] Bump cloud.google.com/go/bigquery from 1.39.0 to 1.40.0 in /sdks

[noreply] Bump github.com/google/go-cmp from 0.5.8 to 0.5.9 in /sdks (#23123)

[noreply] Update google-cloud-bigquery requirement from <3,>=1.6.0 to >=1.6.0,<4

[noreply] Optimize varint reading and writing for small ints. (#23192)


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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, hypothesis, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.73 botocore-1.27.73 cachetools-4.2.4 certifi-2022.9.14 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.54.5 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0915100255_0f964b8d-2b49-4c9c-b865-3e0d9c53bc51 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 44s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/7psdwomk5xew2

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #852

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/852/display/redirect?page=changes>

Changes:

[noreply] [Playground] [Backend] Datastore queries and mappers to get precompiled

[noreply] Open Allow and test pyarrow 8.x and 9.x (#22997)

[noreply] (BQ Python) Pass project field from options or parameter when writing

[noreply] Update python-machine-learning.md (#23209)

[noreply] Pin the version of cloudpickle to 2.1.x (#23120)

[noreply] Add streaming test for Write API sink (#21903)

[noreply] [Go SDK] Proto changes for timer param (#23216)

[noreply] Bump github.com/testcontainers/testcontainers-go in /sdks (#23201)

[noreply] Update to objsize to 0.5.2 which is under BSD-3 license (fixes #23096)

[noreply] Exclude insignificant whitespace from cloud object (#23217)

[noreply] Trying out property-based tests for Beam python coders (#22233)

[noreply] Publish results of JMH benchmark runs (Java SDK) to InfluxDB (part of


------------------------------------------
[...truncated 12.33 KB...]
6a9e39039fda: Pull complete
e6b8b0d73695: Pull complete
f4af20933dae: Pull complete
2bde4a20c1c6: Pull complete
b5aadb375b28: Pull complete
Digest: sha256:911283585036550af2b3ab86dd87aab88a229103f63aabf080ebec9be3589a3b
Status: Downloaded newer image for gcr.io/apache-beam-testing/beam_portability/beam_flink1.12_job_server:latest
a57dca2c5612b233a6a59a7d34f44a01914588974687d8bbf8820ded2758e22a
+ start_tunnel
++ gcloud compute ssh --quiet --zone=us-central1-a yarn@beam-loadtests-python-pardo-flink-streaming-852-m '--command=curl -s "http://beam-loadtests-python-pardo-flink-streaming-852-w-1.c.apache-beam-testing.internal:35821/jobmanager/config"'
Existing host keys found in /home/jenkins/.ssh/google_compute_known_hosts
+ local 'job_server_config=[{"key":"yarn.flink-dist-jar","value":"file:/usr/lib/flink/lib/flink-dist_2.12-1.12.5.jar"},{"key":"jobmanager.execution.failover-strategy","value":"region"},{"key":"high-availability.cluster-id","value":"application_1663157328023_0001"},{"key":"jobmanager.rpc.address","value":"beam-loadtests-python-pardo-flink-streaming-852-w-1.c.apache-beam-testing.internal"},{"key":"jobmanager.memory.jvm-overhead.min","value":"1073741824b"},{"key":"io.tmp.dirs","value":"/hadoop/yarn/nm-local-dir/usercache/root/appcache/application_1663157328023_0001"},{"key":"taskmanager.network.numberOfBuffers","value":"2048"},{"key":"parallelism.default","value":"20"},{"key":"taskmanager.numberOfTaskSlots","value":"4"},{"key":"env.hadoop.conf.dir","value":"/etc/hadoop/conf"},{"key":"yarn.application.name","value":"flink-dataproc"},{"key":"taskmanager.heap.mb","value":"11992"},{"key":"taskmanager.memory.process.size","value":"11992 mb"},{"key":"web.port","value":"0"},{"key":"jobmanager.heap.mb","value":"11992"},{"key":"jobmanager.memory.off-heap.size","value":"134217728b"},{"key":"execution.target","value":"yarn-session"},{"key":"jobmanager.memory.process.size","value":"11992 mb"},{"key":"web.tmpdir","value":"/tmp/flink-web-5de7e562-ed3d-451a-88bc-5355c71a6891"},{"key":"jobmanager.rpc.port","value":"45805"},{"key":"internal.io.tmpdirs.use-local-default","value":"true"},{"key":"execution.attached","value":"false"},{"key":"internal.cluster.execution-mode","value":"NORMAL"},{"key":"fs.hdfs.hadoopconf","value":"/etc/hadoop/conf"},{"key":"rest.address","value":"beam-loadtests-python-pardo-flink-streaming-852-w-1.c.apache-beam-testing.internal"},{"key":"jobmanager.memory.jvm-metaspace.size","value":"268435456b"},{"key":"$internal.deployment.config-dir","value":"/usr/lib/flink/conf"},{"key":"$internal.yarn.log-config-file","value":"/usr/lib/flink/conf/log4j.properties"},{"key":"jobmanager.memory.heap.size","value":"11098128384b"},{"key":"jobmanager.memory.jvm-overhead.max","value":"1073741824b"}]'
+ local key=jobmanager.rpc.port
++ echo beam-loadtests-python-pardo-flink-streaming-852-w-1.c.apache-beam-testing.internal:35821
++ cut -d : -f1
+ local yarn_application_master_host=beam-loadtests-python-pardo-flink-streaming-852-w-1.c.apache-beam-testing.internal
++ echo '[{"key":"yarn.flink-dist-jar","value":"file:/usr/lib/flink/lib/flink-dist_2.12-1.12.5.jar"},{"key":"jobmanager.execution.failover-strategy","value":"region"},{"key":"high-availability.cluster-id","value":"application_1663157328023_0001"},{"key":"jobmanager.rpc.address","value":"beam-loadtests-python-pardo-flink-streaming-852-w-1.c.apache-beam-testing.internal"},{"key":"jobmanager.memory.jvm-overhead.min","value":"1073741824b"},{"key":"io.tmp.dirs","value":"/hadoop/yarn/nm-local-dir/usercache/root/appcache/application_1663157328023_0001"},{"key":"taskmanager.network.numberOfBuffers","value":"2048"},{"key":"parallelism.default","value":"20"},{"key":"taskmanager.numberOfTaskSlots","value":"4"},{"key":"env.hadoop.conf.dir","value":"/etc/hadoop/conf"},{"key":"yarn.application.name","value":"flink-dataproc"},{"key":"taskmanager.heap.mb","value":"11992"},{"key":"taskmanager.memory.process.size","value":"11992' 'mb"},{"key":"web.port","value":"0"},{"key":"jobmanager.heap.mb","value":"11992"},{"key":"jobmanager.memory.off-heap.size","value":"134217728b"},{"key":"execution.target","value":"yarn-session"},{"key":"jobmanager.memory.process.size","value":"11992' 'mb"},{"key":"web.tmpdir","value":"/tmp/flink-web-5de7e562-ed3d-451a-88bc-5355c71a6891"},{"key":"jobmanager.rpc.port","value":"45805"},{"key":"internal.io.tmpdirs.use-local-default","value":"true"},{"key":"execution.attached","value":"false"},{"key":"internal.cluster.execution-mode","value":"NORMAL"},{"key":"fs.hdfs.hadoopconf","value":"/etc/hadoop/conf"},{"key":"rest.address","value":"beam-loadtests-python-pardo-flink-streaming-852-w-1.c.apache-beam-testing.internal"},{"key":"jobmanager.memory.jvm-metaspace.size","value":"268435456b"},{"key":"$internal.deployment.config-dir","value":"/usr/lib/flink/conf"},{"key":"$internal.yarn.log-config-file","value":"/usr/lib/flink/conf/log4j.properties"},{"key":"jobmanager.memory.heap.size","value":"11098128384b"},{"key":"jobmanager.memory.jvm-overhead.max","value":"1073741824b"}]'
++ python -c 'import sys, json; print([e['\''value'\''] for e in json.load(sys.stdin) if e['\''key'\''] == u'\''jobmanager.rpc.port'\''][0])'
+ local jobmanager_rpc_port=45805
++ [[ true == \t\r\u\e ]]
++ echo ' -Nf >& /dev/null'
+ local 'detached_mode_params= -Nf >& /dev/null'
++ [[ -n gcr.io/apache-beam-testing/beam_portability/beam_flink1.12_job_server:latest ]]
++ echo '-L 8099:localhost:8099 -L 8098:localhost:8098 -L 8097:localhost:8097'
+ local 'job_server_ports_forwarding=-L 8099:localhost:8099 -L 8098:localhost:8098 -L 8097:localhost:8097'
+ local 'tunnel_command=gcloud compute ssh --zone=us-central1-a --quiet yarn@beam-loadtests-python-pardo-flink-streaming-852-m -- -L 8081:beam-loadtests-python-pardo-flink-streaming-852-w-1.c.apache-beam-testing.internal:35821 -L 45805:beam-loadtests-python-pardo-flink-streaming-852-w-1.c.apache-beam-testing.internal:45805 -L 8099:localhost:8099 -L 8098:localhost:8098 -L 8097:localhost:8097 -D 1080  -Nf >& /dev/null'
+ eval gcloud compute ssh --zone=us-central1-a --quiet yarn@beam-loadtests-python-pardo-flink-streaming-852-m -- -L 8081:beam-loadtests-python-pardo-flink-streaming-852-w-1.c.apache-beam-testing.internal:35821 -L 45805:beam-loadtests-python-pardo-flink-streaming-852-w-1.c.apache-beam-testing.internal:45805 -L 8099:localhost:8099 -L 8098:localhost:8098 -L 8097:localhost:8097 -D 1080 -Nf '>&' /dev/null
++ gcloud compute ssh --zone=us-central1-a --quiet yarn@beam-loadtests-python-pardo-flink-streaming-852-m -- -L 8081:beam-loadtests-python-pardo-flink-streaming-852-w-1.c.apache-beam-testing.internal:35821 -L 45805:beam-loadtests-python-pardo-flink-streaming-852-w-1.c.apache-beam-testing.internal:45805 -L 8099:localhost:8099 -L 8098:localhost:8098 -L 8097:localhost:8097 -D 1080 -Nf
[beam_LoadTests_Python_ParDo_Flink_Streaming] $ /bin/bash -xe /tmp/jenkins1701662727110448809.sh
+ echo '*** ParDo Python Stateful Streaming Load test: 2M 100 byte records ***'
*** ParDo Python Stateful Streaming Load test: 2M 100 byte records ***
[Gradle] - Launching build.
[src] $ <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/gradlew> -PloadTest.mainClass=apache_beam.testing.load_tests.pardo_test -Prunner=PortableRunner '-PloadTest.args=--job_name=load-tests-python-flink-streaming-pardo-1-0914100250 --project=apache-beam-testing --publish_to_big_query=true --metrics_dataset=load_test --metrics_table=python_flink_streaming_pardo_5 --influx_measurement=python_streaming_pardo_1 --input_options='{"num_records": 2000000,"key_size": 10,"value_size": 90}' --iterations=10 --number_of_counter_operations=0 --number_of_counters=0 --parallelism=5 --streaming --stateful --job_endpoint=localhost:8099 --environment_type=DOCKER --environment_config=gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest --use_stateful_load_generator --influx_db_name=beam_test_metrics --influx_hostname=http://10.128.0.96:8086 --runner=PortableRunner' -PpythonVersion=3.7 --continue --max-****s=8 -Dorg.gradle.jvmargs=-Xms2g -Dorg.gradle.jvmargs=-Xmx6g -Dorg.gradle.vfs.watch=false -Pdocker-pull-licenses :sdks:python:apache_beam:testing:load_tests:run
Configuration on demand is an incubating feature.
> Task :buildSrc:compileJava NO-SOURCE
> Task :buildSrc:compileGroovy FROM-CACHE
> Task :buildSrc:pluginDescriptors
> Task :buildSrc:processResources
> Task :buildSrc:classes
> Task :buildSrc:jar
> Task :buildSrc:assemble
> Task :buildSrc:spotlessGroovy FROM-CACHE
> Task :buildSrc:spotlessGroovyCheck UP-TO-DATE
> Task :buildSrc:spotlessGroovyGradle FROM-CACHE
> Task :buildSrc:spotlessGroovyGradleCheck UP-TO-DATE
> Task :buildSrc:spotlessCheck UP-TO-DATE
> Task :buildSrc:pluginUnderTestMetadata
> Task :buildSrc:compileTestJava NO-SOURCE
> Task :buildSrc:compileTestGroovy NO-SOURCE
> Task :buildSrc:processTestResources NO-SOURCE
> Task :buildSrc:testClasses UP-TO-DATE
> Task :buildSrc:test NO-SOURCE
> Task :buildSrc:validatePlugins FROM-CACHE
> Task :buildSrc:check UP-TO-DATE
> Task :buildSrc:build

> Task :sdks:python:setupVirtualenv
Collecting pip
  Using cached pip-22.2.2-py3-none-any.whl (2.0 MB)
Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 20.1.1
    Uninstalling pip-20.1.1:
      Successfully uninstalled pip-20.1.1
Successfully installed pip-22.2.2
Collecting tox==3.20.1
  Using cached tox-3.20.1-py2.py3-none-any.whl (83 kB)
Requirement already satisfied: setuptools in <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1922375555/lib/python3.7/site-packages> (from -r <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/build-requirements.txt> (line 20)) (47.1.0)
Collecting setuptools
  Using cached setuptools-65.3.0-py3-none-any.whl (1.2 MB)
Collecting wheel>=0.36.0
  Using cached wheel-0.37.1-py2.py3-none-any.whl (35 kB)
Collecting grpcio-tools==1.37.0
  Using cached grpcio_tools-1.37.0-cp37-cp37m-manylinux2014_x86_64.whl (2.5 MB)
Collecting mypy-protobuf==1.18
  Using cached mypy_protobuf-1.18-py3-none-any.whl (7.3 kB)
Collecting distlib==0.3.1
  Using cached distlib-0.3.1-py2.py3-none-any.whl (335 kB)
Collecting py>=1.4.17
  Using cached py-1.11.0-py2.py3-none-any.whl (98 kB)
Collecting six>=1.14.0
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Collecting virtualenv!=20.0.0,!=20.0.1,!=20.0.2,!=20.0.3,!=20.0.4,!=20.0.5,!=20.0.6,!=20.0.7,>=16.0.0
  Using cached virtualenv-20.16.5-py3-none-any.whl (8.8 MB)
Collecting importlib-metadata<3,>=0.12
  Using cached importlib_metadata-2.1.3-py2.py3-none-any.whl (10 kB)
Collecting pluggy>=0.12.0
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Collecting filelock>=3.0.0
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Collecting packaging>=14
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Collecting toml>=0.9.4
  Using cached toml-0.10.2-py2.py3-none-any.whl (16 kB)
Collecting protobuf<4.0dev,>=3.5.0.post1
  Using cached protobuf-3.20.2-py2.py3-none-any.whl (162 kB)
Collecting grpcio>=1.37.0
  Using cached grpcio-1.48.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.6 MB)
Collecting zipp>=0.5
  Using cached zipp-3.8.1-py3-none-any.whl (5.6 kB)
Collecting pyparsing!=3.0.5,>=2.0.2
  Using cached pyparsing-3.0.9-py3-none-any.whl (98 kB)
Collecting virtualenv!=20.0.0,!=20.0.1,!=20.0.2,!=20.0.3,!=20.0.4,!=20.0.5,!=20.0.6,!=20.0.7,>=16.0.0
  Using cached virtualenv-20.16.4-py3-none-any.whl (8.8 MB)
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  Using cached virtualenv-20.16.2-py2.py3-none-any.whl (8.8 MB)
Collecting platformdirs<3,>=2
  Using cached platformdirs-2.5.2-py3-none-any.whl (14 kB)
Installing collected packages: distlib, zipp, wheel, toml, six, setuptools, pyparsing, py, protobuf, platformdirs, filelock, packaging, mypy-protobuf, importlib-metadata, grpcio, virtualenv, pluggy, grpcio-tools, tox
  Attempting uninstall: setuptools
    Found existing installation: setuptools 47.1.0
    Uninstalling setuptools-47.1.0:
      Successfully uninstalled setuptools-47.1.0
Successfully installed distlib-0.3.1 filelock-3.8.0 grpcio-1.48.1 grpcio-tools-1.37.0 importlib-metadata-2.1.3 mypy-protobuf-1.18 packaging-21.3 platformdirs-2.5.2 pluggy-1.0.0 protobuf-3.20.2 py-1.11.0 pyparsing-3.0.9 setuptools-65.3.0 six-1.16.0 toml-0.10.2 tox-3.20.1 virtualenv-20.16.2 wheel-0.37.1 zipp-3.8.1

> Task :sdks:python:apache_beam:testing:load_tests:setupVirtualenv
Collecting pip
  Using cached pip-22.2.2-py3-none-any.whl (2.0 MB)
Installing collected packages: pip
  Attempting uninstall: pip
    Found existing installation: pip 20.1.1
    Uninstalling pip-20.1.1:
      Successfully uninstalled pip-20.1.1
Successfully installed pip-22.2.2
Collecting tox==3.20.1
  Using cached tox-3.20.1-py2.py3-none-any.whl (83 kB)
Requirement already satisfied: setuptools in <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from -r <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/build-requirements.txt> (line 20)) (47.1.0)
Collecting setuptools
  Using cached setuptools-65.3.0-py3-none-any.whl (1.2 MB)
Collecting wheel>=0.36.0
  Using cached wheel-0.37.1-py2.py3-none-any.whl (35 kB)
Collecting grpcio-tools==1.37.0
  Using cached grpcio_tools-1.37.0-cp37-cp37m-manylinux2014_x86_64.whl (2.5 MB)
Collecting mypy-protobuf==1.18
  Using cached mypy_protobuf-1.18-py3-none-any.whl (7.3 kB)
Collecting distlib==0.3.1
  Using cached distlib-0.3.1-py2.py3-none-any.whl (335 kB)
Collecting six>=1.14.0
  Using cached six-1.16.0-py2.py3-none-any.whl (11 kB)
Collecting packaging>=14
  Using cached packaging-21.3-py3-none-any.whl (40 kB)
Collecting virtualenv!=20.0.0,!=20.0.1,!=20.0.2,!=20.0.3,!=20.0.4,!=20.0.5,!=20.0.6,!=20.0.7,>=16.0.0
  Using cached virtualenv-20.16.5-py3-none-any.whl (8.8 MB)
Collecting importlib-metadata<3,>=0.12
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Collecting pluggy>=0.12.0
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Collecting toml>=0.9.4
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Collecting filelock>=3.0.0
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Collecting py>=1.4.17
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Collecting grpcio>=1.37.0
  Using cached grpcio-1.48.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.6 MB)
Collecting protobuf<4.0dev,>=3.5.0.post1
  Using cached protobuf-3.20.2-py2.py3-none-any.whl (162 kB)
Collecting zipp>=0.5
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Collecting pyparsing!=3.0.5,>=2.0.2
  Using cached pyparsing-3.0.9-py3-none-any.whl (98 kB)
Collecting platformdirs<3,>=2.4
  Using cached platformdirs-2.5.2-py3-none-any.whl (14 kB)
Collecting virtualenv!=20.0.0,!=20.0.1,!=20.0.2,!=20.0.3,!=20.0.4,!=20.0.5,!=20.0.6,!=20.0.7,>=16.0.0
  Using cached virtualenv-20.16.4-py3-none-any.whl (8.8 MB)
  Using cached virtualenv-20.16.3-py2.py3-none-any.whl (8.8 MB)
  Using cached virtualenv-20.16.2-py2.py3-none-any.whl (8.8 MB)
Installing collected packages: distlib, zipp, wheel, toml, six, setuptools, pyparsing, py, protobuf, platformdirs, filelock, packaging, mypy-protobuf, importlib-metadata, grpcio, virtualenv, pluggy, grpcio-tools, tox
  Attempting uninstall: setuptools
    Found existing installation: setuptools 47.1.0
    Uninstalling setuptools-47.1.0:
      Successfully uninstalled setuptools-47.1.0
Successfully installed distlib-0.3.1 filelock-3.8.0 grpcio-1.48.1 grpcio-tools-1.37.0 importlib-metadata-2.1.3 mypy-protobuf-1.18 packaging-21.3 platformdirs-2.5.2 pluggy-1.0.0 protobuf-3.20.2 py-1.11.0 pyparsing-3.0.9 setuptools-65.3.0 six-1.16.0 toml-0.10.2 tox-3.20.1 virtualenv-20.16.2 wheel-0.37.1 zipp-3.8.1

> Task :sdks:python:sdist
org/apache/beam/model/interactive/v1/beam_interactive_api.proto:36:1: warning: Import google/protobuf/timestamp.proto is unused.
Writing mypy to org/apache/beam/model/pipeline/v1/external_transforms_pb2.pyi
Writing mypy to org/apache/beam/model/pipeline/v1/beam_runner_api_pb2.pyi
Writing mypy to org/apache/beam/model/pipeline/v1/standard_window_fns_pb2.pyi
Writing mypy to org/apache/beam/model/pipeline/v1/metrics_pb2.pyi
Writing mypy to org/apache/beam/model/pipeline/v1/endpoints_pb2.pyi
Writing mypy to org/apache/beam/model/pipeline/v1/schema_pb2.pyi
Writing mypy to org/apache/beam/model/job_management/v1/beam_artifact_api_pb2.pyi
Writing mypy to org/apache/beam/model/job_management/v1/beam_expansion_api_pb2.pyi
Writing mypy to org/apache/beam/model/job_management/v1/beam_job_api_pb2.pyi
Writing mypy to org/apache/beam/model/fn_execution/v1/beam_provision_api_pb2.pyi
Writing mypy to org/apache/beam/model/fn_execution/v1/beam_fn_api_pb2.pyi
Writing mypy to org/apache/beam/model/interactive/v1/beam_interactive_api_pb2.pyi
setup.py:142: UserWarning: Could not import gen_protos, skipping proto generation.
  warnings.warn("Could not import gen_protos, skipping proto generation.")
<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1922375555/lib/python3.7/site-packages/setuptools/dist.py>:530: UserWarning: Normalizing '2.43.0.dev' to '2.43.0.dev0'
  warnings.warn(tmpl.format(**locals()))
warning: no files found matching 'README.md'
warning: no files found matching 'NOTICE'
warning: no files found matching 'LICENSE'
warning: no files found matching 'LICENSE.python'
warning: sdist: standard file not found: should have one of README, README.rst, README.txt, README.md


> Task :sdks:python:apache_beam:testing:load_tests:installGcpTest FAILED
Processing <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz>
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'error'
  error: subprocess-exited-with-error
  
  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [10 lines of output]
      Traceback (most recent call last):
        File "<string>", line 36, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/tmp/pip-req-build-ky55118t/setup.py", line 169, in <module>
          generate_protos_first()
        File "/tmp/pip-req-build-ky55118t/setup.py", line 139, in generate_protos_first
          gen_protos.generate_proto_files()
        File "/tmp/pip-req-build-ky55118t/gen_protos.py", line 476, in generate_proto_files
          raise RuntimeError(error_msg)
      RuntimeError: Not in apache git tree, unable to find proto definitions.
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:installGcpTest'.
> Process 'command 'sh'' finished with non-zero exit value 1

* Try:
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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #851

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/851/display/redirect?page=changes>

Changes:

[noreply] pubsublite: Reduce commit logspam (#22762)

[noreply] Added documentation in ACTIONS.md file (#23159)

[noreply] Bump dataflow java fnapi container version to beam-master-20220830

[noreply] [Issue#23071] Fix AfterProcessingTime for Python to behave like Java

[noreply] Don't depend on java 11 docker container for go test (#23197)

[Moritz Mack] Annotate stateful VR test in TestStreamTest with UsesStatefulParDo

[Moritz Mack] Properly close Spark (streaming) context if Pipeline translation fails


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0913100313_e93d7632-8a9e-4359-884c-fd7590d298ab failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 28s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/rhbhmnulkk7j4

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #850

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Changes:

[noreply] [TPC-DS] Use common queries argument for Jenkins jobs (#23139)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0912100254_b818eef0-1d8e-43fa-9740-6c291cee7d2c failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 31s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/iuuomugffxvv6

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #849

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/849/display/redirect>

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Successfully built apache-beam
Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.70 botocore-1.27.70 cachetools-4.2.4 certifi-2022.6.15.1 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.10.0 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.8.17 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0911100250_7d26a224-a8cf-4aae-a9fc-e3d3199bf5bb failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 34s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/j764uyjt5ctvy

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #848

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/848/display/redirect?page=changes>

Changes:

[bulat.safiullin] [Website] add paddings to pillars-item, change styles of footer logos

[bulat.safiullin] [Website] add table-container-wrapper #22896

[bulat.safiullin] [Website] update shortcode languages from duplicate go to typescript

[cushon] Use a ClassLoadingStrategy that is compatible with Java 17+

[noreply] [Website] update case-studies logo images #22799 (#22793)

[noreply] [Website] change media-query max-width variable to ak-breakpoint-xl

[noreply] [Website] add overflow to code tags #22888 (#22427)

[noreply] Clean up Kafka Cluster and pubsub topic in rc validation script (#23021)

[noreply] Fix assertions in the Spanner IO IT tests (#23098)

[noreply] Use existing pickle_library flag in expansion service. (#23111)

[noreply] Assert pipeline results in performance tests (#23027)

[noreply] Consolidate Samza TranslationContext and PortableTranslationContext

[noreply] Improvements to SchemaTransform implementations for BQ and Kafka


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Building wheels for collected packages: apache-beam
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Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.70 botocore-1.27.70 cachetools-4.2.4 certifi-2022.6.15.1 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.10.0 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.1 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.8.17 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0910100239_59c89a8e-ab47-4f32-8aa1-4155440f4640 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 31s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ar3d6eehlbfm4

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #847

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/847/display/redirect?page=changes>

Changes:

[yathu] Decrease derby.locks.waitTimeout in jdbc unit test

[noreply] clean up comments and register functional DoFn in wordcount.go (#23057)

[noreply] [Tour Of Beam][backend] integration tests and GA workflow (#23032)

[noreply] Auto-cancel old unit test Actions Runs (#23095)

[noreply] Merge pull request #23092 Cross-language tests in github actions.

[noreply] Update CHANGES.md for 2.42.0 cut, and add 2.43.0 section (#23108)

[noreply] remove `"io/ioutil"` package (#23001)

[noreply] Add one NER example to use a spaCy model with RunInference (#23035)

[noreply] Bump google.golang.org/api from 0.94.0 to 0.95.0 in /sdks (#23062)

[noreply] Implement JsonUtils (#22771)

[noreply] Support models returning a dictionary of outputs (#23087)

[noreply] [TPC-DS] Store metrics into BigQuery and InfluxDB (#22545)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0909100251_c4557089-2721-467a-bdb2-905ea85d5573 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 32s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/jnzcttwydbrl2

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #846

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/846/display/redirect?page=changes>

Changes:

[clementg] allow non-lts jvm version, fallback on java 11 for runner

[clementg] Add a stricter java version method

[clementg] fall back to the nearest lts version

[noreply] Bump github.com/lib/pq from 1.10.6 to 1.10.7 in /sdks (#23061)

[noreply] Allowing more flexible precision for TIMESTAMP, DATETIME fields in

[noreply] Reenable run-inference tests on windows (#23044)

[noreply] [BEAM-12164] Support new value capture types NEW_ROW NEW_VALUES for s…

[noreply] Fix example registration input arity (#23059)

[noreply] Clarify inference example docs (#23018)

[noreply] [Playground] [Backend] Datastore queries and mappers to get examples

[noreply] Keep stale action from closing issues (#23067)

[Robert Bradshaw] Use cloudpickle for Java Python transforms.

[noreply] Merge pull request #22996: [BEAM-11205] Update GCP Libraries BOM

[Robert Burke] Moving to 2.43.0-SNAPSHOT on master branch.


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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0908100245_943af6c6-c00f-409e-814e-5a6a23d7a46d failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 36s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/tzr5psit4jrhc

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #845

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/845/display/redirect?page=changes>

Changes:

[Kenneth Knowles] Cosmetic checkstyle fix to TextRowCountEstimator

[Kenneth Knowles] Upgrade to Gradle 7.5.1

[Brian Hulette] Use typehints in benchmark utilities

[oleg.borisevich] fixing condition for db index creation

[noreply] Allow users to pass classloader to dynamically load JDBC drivers.

[noreply] Fix withCheckStopReadingFn to not cause the pipeline to crash (#22962)

[noreply] Inference benchmark tests (#21738)

[noreply] [Go SDK]: Add support for Google Cloud Profiler for pipelines (#22824)

[noreply] Listen to window messages to switch SDK and to load content (#22959)

[Robert Bradshaw] Allow expansion service to choose pickler.

[noreply] Disable singleIterate (#23042)

[Robert Bradshaw] Accept "default" as pickler library.

[Robert Bradshaw] Clarifying comment.

[Heejong Lee] [BEAM-22856] PythonService Beam version compatibility

[chamikaramj] Fixes RunInference test failure


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Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.67 botocore-1.27.67 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.1.0 crcmod-1.7 cryptography-38.0.0 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.0 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.10.0 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 objsize-0.5.1 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.8.17 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0907100250_337f0622-9df6-4ae5-a351-748a14b7c55f failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 70

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 25s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/r3x5xtaid4pxq

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #844

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/844/display/redirect?page=changes>

Changes:

[noreply] Revert "Remove subprocess.PIPE usage by using a temp file (#22654)"


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Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.66 botocore-1.27.66 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.0 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.10.0 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 objsize-0.5.1 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.8.17 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.40 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0906112414_223aaafe-4023-4919-8498-aa74b421370a failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 48s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/7fxsbjo3dw4bg

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #843

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/843/display/redirect?page=changes>

Changes:

[noreply] Generalize interface of InfluxDBPublisher to support more use cases


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Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.66 botocore-1.27.66 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.0 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.10.0 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 objsize-0.5.1 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.8.17 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.40 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0905100236_762043a1-8f7e-4974-9841-ebc5c2f5eeec failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 48s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/2x7ovsoqw2skw

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #842

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See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/842/display/redirect?page=changes>

Changes:

[noreply] [#19857] Migrate to using a memory aware cache within the Python SDK


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Building wheels for collected packages: apache-beam
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Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.66 botocore-1.27.66 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.0 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.10.0 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 objsize-0.5.1 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.8.17 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.40 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.0 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0904100231_6dbb98b2-e3bf-4bf7-957f-61ab0029b7f2 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
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15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #841

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/841/display/redirect?page=changes>

Changes:

[noreply] Bump cloud.google.com/go/storage from 1.25.0 to 1.26.0 in /sdks (#22954)

[noreply] [BEAM-22859] Allow the specification of extra packages for external

[noreply] [Tour of Beam]: Welcome Screen frontend layout (#22794)

[noreply] Remove redundant testEventTimeTimerSetWithinAllowedLateness sickbay

[noreply] Adding support for Beam Schema Rows with BQ DIRECT_READ (#22926)

[noreply] Add java Bigquery IO known issue to beam 2.40 release blogpost (#22611)

[noreply] Update playground_deploy_examples.yml

[noreply] Add run-inference component for autolabeling (#22971)

[noreply] [Playground] [Infrastructure] Deleting the Cloud Storage Client (#22722)

[noreply] Updates Java RunInference to infer Python dependencies when possible

[noreply] Adding TensorFlow support to the Machine Learning overview page (#22949)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0903100249_8585c842-c5bd-444e-9576-0a3936b5050c failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 35s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ka5b6pczzcvvm

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #840

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/840/display/redirect?page=changes>

Changes:

[noreply] Add some explanatory comments to the wordcount registration (#22989)

[noreply] Move Go examples under the cookbook directory to generic registration

[noreply] Improve BQ test utils to support JSON in a more simple manner (#22942)

[noreply] [fixes #22980] Migrate BeamFnLoggingClient to the new execution state

[Robert Bradshaw] Update proto generation script due to BEAM-13939.

[Robert Bradshaw] Regenerate typescript protos.

[noreply] Add initial read_gbq wrapper (#22616)

[noreply] Minor: Fix lint failure (#22998)

[noreply] [Tour Of Beam][backend] get unit content (#22967)

[noreply] Allows to use databaseio with postgres driver (#22941)


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Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite
Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.65 botocore-1.27.65 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.0 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.10.0 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.8.17 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.40 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.0 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0902100248_3757a6f9-63d2-4af5-b86b-2ee1d4f244dc failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 36s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/cnfz5lgpflhyw

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #839

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/839/display/redirect?page=changes>

Changes:

[Brian Hulette] Extract utilities in dataframe.schemas

[Brian Hulette] Add pandas_type_compatibility with pandas BatchConverter implementations

[Brian Hulette] Use Batched DoFns at DataFrame API boundaries

[Brian Hulette] Move dtype conversion to pandas_type_compatibility

[Brian Hulette] Always register pandas BatchConverters

[Brian Hulette] Fix interactive runner tests

[Brian Hulette] Use pandas_type_compatibility BatchConverters for dataframe.schemas

[Brian Hulette] Skip test cases broken in pandas 1.1.x

[Brian Hulette] Address review comments

[Brian Hulette] yapf, typo in test

[noreply] Filter out unsupported state tests (#22963)

[noreply] Add ability to remove/clear map and set state (#22938)

[Brian Hulette] Add test to reproduce https://github.com/apache/beam/issues/22854

[Brian Hulette] Exercise row coder with nested optional struct

[Brian Hulette] Make RowTypeConstraint callable

[Brian Hulette] Add test to exercise RowTypeConstraint.__call__

[noreply] Fix gpu to cpu conversion with warning logs (#22795)

[noreply] Add Go stateful DoFns to CHANGES.md and fix linting violations (#22958)

[noreply] 22805: Upgrade Jackson version from 2.13.0 to 2.13.3 (#22806)

[noreply] Run cred rotation every month (#22977)

[noreply] [BEAM-12164] Synchronize access queue in ThroughputEstimator and


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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0901100313_c60ac2f8-e6ef-4c9b-a480-109976345a9e failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 30s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/rs6cwei7igcxa

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #838

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/838/display/redirect?page=changes>

Changes:

[noreply] [Playground] [Infrastructure] Adding the Cloud Datastore client to save

[noreply] Fix jdbc date conversion offset 1 day (#22738)

[noreply] Set state integration test (#22935)

[noreply] Minor: Fix option_from_runner_api typehint (#22946)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.util.ServiceConfigurationError: com.fasterxml.jackson.databind.Module: Provider com.fasterxml.jackson.module.jaxb.JaxbAnnotationModule not a subtype
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0831100302_4bc99ec5-4af6-41d7-ad63-a9b6a460228d failed in state FAILED: java.util.ServiceConfigurationError: com.fasterxml.jackson.databind.Module: Provider com.fasterxml.jackson.module.jaxb.JaxbAnnotationModule not a subtype

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 27s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/qfa7ozpmgawr4

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #837

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/837/display/redirect?page=changes>

Changes:

[yathu] Support Timestamp type in xlang JDBC Read and Write

[yathu] change urn name to millis_instant:v1

[yathu] Add standard_coders test

[yathu] Apply suggestions from code review

[yathu] Fix Java standard coder test

[yathu] Fix logical type with same language type gets completely hidden

[Robert Bradshaw] [BEAM-22923] Allow sharding specification for dataframe writes.

[noreply] Add set state in Go (#22919)

[noreply] Go Map State integration test (#22898)

[noreply] Add clear function for bag state types (#22917)

[noreply] [Playground] Update build_playground_backend.yml - add "Index creation"

[noreply] [Playground] [Backend] added SDK validation to save a code snippet

[noreply] Fix linting violations (#22934)

[noreply] [akvelon][tour-of-beam] backend bootstraps (#22556)

[noreply] Bump up postcommit timeout (#22937)

[noreply] Handle stateful windows correctly + integration test (#22918)

[noreply] Automatically infer state keys from their field name (#22922)

[noreply] Updates to multi-lang Java quickstart (#22927)

[noreply] Fix yaml duplicated mapping key (#22952)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0830143054_e207efbe-b9d4-4fb0-8352-dc6a585adc2d failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 55s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/zy5siiqiju5ng

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Building wheels for collected packages: apache-beam
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Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.0 azure-storage-blob-12.13.1 boto3-1.24.61 botocore-1.27.61 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.0 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.0 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.2 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.8.17 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.40 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.0 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0829100251_07d62778-b9d7-451b-8c25-b0f7e88a4762 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 32s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/g4tfhbb3akhv2

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0828100231_b8605e47-0eb7-43cc-b8b5-820ef0cd8fe4 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 38s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/lbnhli2ttigcq

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #834

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/834/display/redirect?page=changes>

Changes:

[noreply] Pass user specified destination type to UpdateSchemaDestination 

[noreply] [Go SDK] Stream decode values in single iterations (#22904)

[noreply] Enable autosharding for BQ: #22818

[noreply] Update wordcount_minimal.py by removing pipeline_args.extend (#22786)

[noreply] Add map state in the Go Sdk (#22897)

[noreply] [BEAM-12164] Feat: Added support to Cloud Spanner Change Streams


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Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite
Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.0 azure-storage-blob-12.13.1 boto3-1.24.61 botocore-1.27.61 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.0 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.12 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.0 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.2 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.8.17 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.40 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.0 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0827100249_ae46ca61-7d81-440d-b794-02e2cccc53da failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 33s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/wodfr46hwu5ho

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #833

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/833/display/redirect?page=changes>

Changes:

[Robert Bradshaw] [BEAM-22723] Yield BatchElement batches at end of window.

[noreply] Update sdks/python/apache_beam/transforms/util_test.py

[noreply] [Website] add Python to KinesisIO in connectors #22845 (#22841)

[noreply] Combining state integration test (#22846)

[cushon] Update to Byte Buddy 1.12.14

[cushon] Add a regression test

[cushon] Add spotless exclusion

[noreply] Small lint fixes (#22890)

[noreply] Preserve state on SDK switch (#22430) (#22735)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0826100246_3fa0f2f7-66f5-4e25-8d2f-cd2228971379 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 36s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/wykdsynfnm4si

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #832

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/832/display/redirect?page=changes>

Changes:

[chamikaramj] Updates old releases to use archive.apache.org

[noreply] Bump google.golang.org/api from 0.93.0 to 0.94.0 in /sdks (#22839)

[noreply] Bump cloud.google.com/go/bigquery from 1.38.0 to 1.39.0 in /sdks

[noreply] Add an integration test for bag state (#22827)

[noreply] Fix a few linting issues (#22842)

[noreply] Add combining state support (#22826)

[noreply] Bump cloud.google.com/go/pubsub from 1.24.0 to 1.25.1 in /sdks (#22850)

[noreply] Bump google.golang.org/grpc from 1.48.0 to 1.49.0 in /sdks (#22838)

[noreply] [Website] update videos section (#22772)

[noreply] Update Dataflow fnapi_container-version (#22852)

[noreply] Go SDK Katas: Update beam module dependency (#22753)

[noreply] unskip sklearn IT test (#22825)


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Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.0 azure-storage-blob-12.13.1 boto3-1.24.59 botocore-1.27.59 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.0 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.12 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.0 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.2 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.8.17 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.40 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.0 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0825100253_9ea6b677-d20d-411a-87b9-7698b98f3d26 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 40s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/eb6chzmd4mqim

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #831

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/831/display/redirect?page=changes>

Changes:

[Kenneth Knowles] Eliminate some null errors and rawtypes from sdks/java/core

[Kiley Sok] Update Beam 2.41.0 release docs

[noreply] [Playground] Setup Datastore in Playground project using Terraform -

[noreply] Add bag state support (#22816)

[Kiley Sok] Fix dates for 2.41.0 release

[noreply] added link to setup instructions in WordCount example (#22832)


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Successfully built apache-beam
Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite
Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.0 azure-storage-blob-12.13.1 boto3-1.24.58 botocore-1.27.58 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.0 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.12 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.0 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.2 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.8.17 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.40 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.3.3 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0824100241_a2af21ba-7039-4342-92d6-bf9e7ed86ac7 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 37s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/mqag57buhr3wg

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #830

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/830/display/redirect?page=changes>

Changes:

[yathu] Evaluate proper metric in TextIOIT

[Andrew Pilloud] Add Python nexmark to gradle

[Michael Luckey] Align neo4j error messages with API

[noreply] Add Release category to release announcement blogs (#22785)

[noreply] [BEAM-13657] Update Python version used by mypy. (#22804)

[noreply] E2E basic state support (#22798)

[noreply] Add state integration test (#22815)


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Building wheels for collected packages: apache-beam
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Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.0 azure-storage-blob-12.13.1 boto3-1.24.57 botocore-1.27.57 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.0 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.12 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.0 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.2 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.8.17 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.40 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.3.3 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0823100248_3394424b-265d-46bf-8992-a155f03b02a2 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 34s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/2pxuiwojhoxc2

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #829

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/829/display/redirect?page=changes>

Changes:

[noreply] Bump cloud.google.com/go/bigquery from 1.37.0 to 1.38.0 in /sdks


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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0822100242_b99520f8-e941-4930-8a1b-4ae1f2c9e1f5 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 30s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/zsvbtyj4nmseo

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0821100250_a8ed6278-cbb7-451c-a251-fa5c898a85c5 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 34s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/t3wig2a7gecqm

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #827

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/827/display/redirect?page=changes>

Changes:

[randomstep] [BEAM-8701] bump commons-io to 2.7

[noreply] [Go SDK] Fix go lint errors (#22796)

[noreply] Modify RunInference to return PipelineResult for the benchmark tests

[noreply] Fix lint issues (#22800)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0820100236_428e1f2d-aa4b-4b65-98d1-7933e9f10469 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 34s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/mkzuvgkjgtvfy

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #826

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/826/display/redirect?page=changes>

Changes:

[bulat.safiullin] [Website] add scroll to new position if anchor is present #22699

[bulat.safiullin] [Website] remove text from Available contact channels table #22696

[bulat.safiullin] [Website] update commits link #22520

[cushon] Downgrade bytebuddy version to 1.11.0

[noreply] Label kata changes with the language they're modifying (#22764)

[noreply] [Website] Add GitHub issue link (#22774)

[noreply] Fix some typos in the ML doc (#22763)

[noreply] Go stateful DoFns user side changes (#22761)

[noreply] fixed column width in tables in Getting started from Spark guide

[noreply] Testing authentication for Playground (#22782)

[noreply] [BEAM-12776, fixes #21095] Limit parallel closes from the prior element

[noreply] [BEAM-13015, #21250] Reuse buffers when possible when writing on


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.util.ServiceConfigurationError: com.fasterxml.jackson.databind.Module: Provider com.fasterxml.jackson.module.jaxb.JaxbAnnotationModule not a subtype
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0819100235_5c17c8d8-2f4d-4fa1-97a4-c4aae623df6b failed in state FAILED: java.util.ServiceConfigurationError: com.fasterxml.jackson.databind.Module: Provider com.fasterxml.jackson.module.jaxb.JaxbAnnotationModule not a subtype

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 37s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/aws3dfbv6jhn2

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #825

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/825/display/redirect?page=changes>

Changes:

[noreply] Bump google.golang.org/api from 0.92.0 to 0.93.0 in /sdks (#22752)

[noreply] Fix direct running mode multi_processing on win32 (#22730)

[noreply] Improve error message on schema issues (#22469)

[noreply] sklearn runinference regression example (#22088)

[noreply] [Website] add intuit case-study, add intuit quote-card (#22757)

[noreply] Avoid panic on type assert. (#22767)

[noreply] [#21935] Reject ill formed GroupByKey coders during pipeline.run

[noreply] Don't use batch interface for single object operations (#22432)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0818100235_d1c42cf0-a61d-4cc1-b743-92774a25b565 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 37s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/nyvvk4ddj2gou

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #824

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/824/display/redirect?page=changes>

Changes:

[noreply] Handle single-precision float values in the standard coders tests

[noreply] [BEAM-13015, #21250] Remove looking up thread local metrics container

[noreply] [fixes #22731] Publish nightly snapshot of legacy Dataflow worker jar.

[andyye333] Remove assert

[noreply] [fixes #22744] Update hadoop library patch versions to 2.10.2 and 3.2.4

[noreply] Update beam-master version for legacy (#22741)


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Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0817100234_88dc49cb-46a1-44ca-a6a8-229d813c6802 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 36s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #823

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/823/display/redirect?page=changes>

Changes:

[Steve Niemitz] Fix UpdateSchemaDestination when source format is set to AVRO

[noreply] Attempt to fix SpannerIO test flakes (#22688)

[noreply] Add a dataflow override for runnerv1 to still use SDF on runnerv2.

[noreply] [Playground] Result filter bug (#22215)

[noreply] [Website] update case-studies layout (#22342)

[noreply] Implement KafkaSchemaTransformReadConfiguration (#22403)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0816100233_0beb5eef-8d9a-4bd1-ab16-af00fdd8b1db failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 36s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/3e2s6vtub52ik

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #822

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/822/display/redirect?page=changes>

Changes:

[noreply] fix minor unreachable code caused by log.Fatal (#22618)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0815100235_ed6909aa-7f02-4434-97df-6213a68cab02 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 34s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/lscaje2ypjmqa

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #821

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/821/display/redirect>

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Successfully built apache-beam
Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite
Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.0 azure-storage-blob-12.13.1 boto3-1.24.51 botocore-1.27.51 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.4 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.10.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.7.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.11 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.0 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.2 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.7.25 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.40 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.11 websocket-client-1.3.3 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0814100238_bcc1fd83-97b0-4593-b88b-aef4ff2940af failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 35s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/zfkq3q5jbgimk

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #820

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/820/display/redirect?page=changes>

Changes:

[yathu] Bump mongo_java_driver to 3.12.11 and embed.mongo to 3.0.0

[bulat.safiullin] [Website] add container with overflow-x to runners with table #22708

[noreply] Bump cloud.google.com/go/storage from 1.24.0 to 1.25.0 in /sdks (#22705)

[noreply] [Go SDK]: Implement standalone single-precision float encoder (#22664)

[noreply] [Playground] [Backend] added validation for snippet endpoints to avoid

[noreply] Add GeneratedClassRowTypeConstraint (#22679)

[noreply] [Playground] [Backend] Removing unused snippets manually and using the

[noreply] Implement PubsubSchemaTransformWriteConfiguration (#22262)

[noreply] Add support for FLOAT to Python RowCoder (#22626)

[noreply] Bump up python container versions (#22697)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.util.ServiceConfigurationError: com.fasterxml.jackson.databind.Module: Provider com.fasterxml.jackson.module.jaxb.JaxbAnnotationModule not a subtype
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0813100237_11fe34aa-f4a5-487e-b41d-7bb20eb6fa6f failed in state FAILED: java.util.ServiceConfigurationError: com.fasterxml.jackson.databind.Module: Provider com.fasterxml.jackson.module.jaxb.JaxbAnnotationModule not a subtype

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 38s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/evsoam2xf6go6

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #819

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/819/display/redirect?page=changes>

Changes:

[noreply] Fix seed job (#22687)

[noreply] Bump actions/stale from 3 to 5 (#22684)

[noreply] Bump actions/upload-artifact from 2 to 3 (#22682)

[noreply] Bump actions/download-artifact from 2 to 3 (#22683)

[noreply] Add shunts for Beam typehints (#22680)

[noreply] Fix wordcount setup-java (#22700)

[noreply] Bump google.golang.org/api from 0.91.0 to 0.92.0 in /sdks (#22681)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0812100255_cffd799a-6953-4d1f-8b1c-1a6ec0328417 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 36s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ml2pj5ivjkhqi

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #818

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/818/display/redirect?page=changes>

Changes:

[bulat.safiullin] [Website] update contribution content collapse

[noreply] Improve exception when requested error tag does not exist (#22401)

[noreply] Reimplement Pub/Sub Lite's I/O using UnboundedSource. (#22612)

[noreply] Clean up checkstyle suppressions.xml (#22649)

[noreply] [Playground] [Infrastructure] format python code style (#22291)

[noreply] Minor: Add helpful names for parameterized dataframe.schemas_test

[noreply] [BEAM-14118, #21639] Use vendored gRPC 1.48.1 (#22628)

[Ismaël Mejía] Fix #22466 Add github actions dependency updates with dependabot

[noreply] Change Python PostCommits timeout (#22655)

[noreply] Revert "Persist ghprbPullId parameter in seed job (#22579)" (#22656)

[noreply] Bump actions/setup-java from 2 to 3 (#22666)

[noreply] Bump actions/labeler from 3 to 4 (#22670)

[noreply] Bump actions/setup-node from 2 to 3 (#22671)

[noreply] Bump actions/setup-go from 2 to 3 (#22669)

[noreply] Bump actions/setup-python from 2 to 4 (#22668)

[noreply] Bump actions/checkout from 2 to 3 (#22667)

[noreply] Fix broken link to Retry Policy blog (#22554)

[noreply] Include total in header of issue report (#22475)

[chamikaramj] Update vendored gRPC version for SpannerTransformRegistrarTest

[noreply] [Playground] Share any code feature frontend (#22477)

[noreply] Remove subprocess.PIPE usage by using a temp file (#22654)

[noreply] [#22647] Upgrade org.apache.samza to 1.6 (#22648)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0809170841_9c95bb88-b8bc-430b-b475-009238f333a9 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 31s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/33aedeppjwyue

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #817

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/817/display/redirect?page=changes>

Changes:

[alexey.inkin] Fix retaining unsaved pipeline options (#22075)

[108862444+oborysevych] removed VladMatyunin from beam collaborators

[anandinguva98] Add stdlib distutils while building the wheels

[noreply] Fix for #22631 KafkaIO considers readCommitted() as it would commit back

[noreply] [CdapIO] Add CdapIO dashboard in Grafana (#22641)

[noreply] Add information on how to take/close issues in the contribution guide.

[noreply] Skip

[noreply] Persist ghprbPullId parameter in seed job (#22579)

[noreply] Adhoc: Fix logging in Spark runner to avoid unnecessary creation of


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0809170841_d7526edb-9399-4839-9537-e6428905616a failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 33s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/sizpwpxjnim7g

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #816

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/816/display/redirect?page=changes>

Changes:

[vlad.matyunin] modifed WithKeys Playground Example

[alexander.zhuravlev] [Playground] Removed banner from Playground header, deleted unused

[shivam] Add example for `Distinct` PTransform

[manitgupta] Fix bug in StructUtils

[noreply] Add PyDoc buttons to the top and bottom of the Machine Learning page

[noreply] [Playground][Backend][Bug]: Moving the initialization of properties file

[noreply] Bump cloud.google.com/go/bigquery from 1.36.0 to 1.37.0 in /sdks

[noreply] Minor: Clean up an assertion in schemas_test (#22613)

[noreply] Exclude testWithShardedKeyInGlobalWindow on streaming runner v1 (#22593)

[noreply] Pub/Sub Schema Transform Read Provider (#22145)

[noreply] Update BigQuery URI validation to allow more valid URIs through (#22452)

[noreply] Add units tests for SpannerIO (#22428)

[noreply] Bump google.golang.org/api from 0.90.0 to 0.91.0 in /sdks (#22568)


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Building wheels for collected packages: apache-beam
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Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.0 azure-storage-blob-12.13.1 boto3-1.24.47 botocore-1.27.47 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.4 fasteners-0.17.3 freezegun-1.2.1 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.10.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.7.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.11 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 proto-plus-1.20.6 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.2 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 regex-2022.7.25 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.40 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.11 websocket-client-1.3.3 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0809100253_74b61941-f1b6-4c27-ae62-c4627e49ff2e failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/mfvnrvgmptb62

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0808100244_72429260-94f7-427d-ab57-adb018693358 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 35s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/evm5zjlhkmalo

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0807100237_d6299bf4-bfd7-473c-b40d-5c41d48ce7c2 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 32s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/7gpk36fiawr4i

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #813

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/813/display/redirect?page=changes>

Changes:

[yathu] Moving misplaced CHANGES from template to 2.41.0

[noreply] [BEAM-14117] Delete vendored bytebuddy gradle build (#22594)

[noreply] Add Import transform to Go FhirIO (#22460)

[noreply] Allow unsafe triggers for python nexmark benchmarks (#22596)

[noreply] pubsublite: Fix max offset for computing backlog (#22585)

[noreply] Add support when writing to locked buckets by handling

[noreply] [BEAM-14118, #21639] Vendor gRPC 1.48.1 (#22607)

[noreply] [21894] Validates inference_args early (#22282)

[noreply] Return type for _ExpandIntoRanges DoFn should be Iterable. (#22548)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0806100244_1ac46866-84da-4f29-a454-b837d0c3818c failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 33s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/7y6kqgfy57kfa

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #812

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/812/display/redirect?page=changes>

Changes:

[noreply] Update Dataflow container version (#22580)

[noreply] Merge pull request #22347: [22188]Set allowed timestamp skew

[noreply] Added experimental annotation to fixes #22564 (#22565)


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Successfully built apache-beam
Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite
Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.0 azure-storage-blob-12.13.1 boto3-1.24.46 botocore-1.27.46 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.4 fasteners-0.17.3 freezegun-1.2.1 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.9.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.7.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.11 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 proto-plus-1.20.6 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.2 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.11 websocket-client-1.3.3 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0805100239_42f1e11c-b71f-47ab-974f-babd46f578c4 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 34s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/imivw3qeqzk5s

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/811/display/redirect?page=changes>

Changes:

[chamikaramj] Mention Java RunInference support in the Website

[noreply] Update run_inference_basic.ipynb

[noreply] Update CHANGE.md after 2.41.0 cut (#22577)

[noreply] Convert to BeamSchema type from ReadfromBQ (#17159)

[noreply] Fix deleteTimer in InMemoryTimerInternals and enable VR tests for


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Building wheels for collected packages: apache-beam
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Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.45 botocore-1.27.45 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.4 fasteners-0.17.3 freezegun-1.2.1 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.9.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.7.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.11 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 proto-plus-1.20.6 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.2 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 typing-utils-0.1.0 urllib3-1.26.11 websocket-client-1.3.3 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0804111906_a54b3812-e07a-45df-81fd-2f23cef72d4e failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 35s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ebpnlw74w4udo

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #810

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/810/display/redirect?page=changes>

Changes:

[Valentyn Tymofieiev] add zstd compression support according to issue 22393

[Valentyn Tymofieiev] Regenerate the container dependencies.

[noreply] Remove normalization in Pytorch Image Segmentation example (#22371)

[noreply] Downgrade less informative logs during write to files (#22273)

[noreply] Beam ml notebooks (#22510)

[noreply] Add clearer error message for xlang transforms on teh Go Direct Runner

[noreply] [CdapIO] Add integration tests for CdapIO (Batch) (#22313)

[noreply] Bugfix: Fix broken assertion in PipelineTest (#22485)


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Building wheels for collected packages: apache-beam
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Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.44 botocore-1.27.44 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.4 fasteners-0.17.3 freezegun-1.2.1 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.9.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.7.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.11 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 proto-plus-1.20.6 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.2 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 typing-utils-0.1.0 urllib3-1.26.11 websocket-client-1.3.3 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0803103107_90727e81-a4ff-477d-826b-8f7932d779c3 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 41s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/fwbi5xs5jccoe

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #809

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/809/display/redirect?page=changes>

Changes:

[noreply] Exclude grpcio==1.48.0 (#22539)

[noreply] Merge PR #22304 fixing #22331 fixing JDBC IO IT

[noreply] Update pytest to support Python 3.10 (#22055)

[noreply] Update the imprecise link. (#22549)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0802100236_90210988-4e3f-4ab8-87b9-aff28b2dd2c6 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 34s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/n6yletmtgwe4e

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0801100245_6560714a-3146-4e70-9d9b-929c8e930812 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 27s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/6a2m6bvqkdqny

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0731100239_ec7f5733-b5b1-44ec-b303-94dca1561704 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 31s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/r7dlwkq5bpfcc

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #806

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/806/display/redirect?page=changes>

Changes:

[noreply] Bump google.golang.org/protobuf from 1.28.0 to 1.28.1 in /sdks (#22517)

[noreply] Bump google.golang.org/api from 0.89.0 to 0.90.0 in /sdks (#22518)

[noreply] Change _build import from setuptools to distutils (#22503)

[noreply] Remove stringx package (#22534)

[noreply] Improve concrete error message (#22536)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0730100236_730648e7-d87f-4ce0-9cd5-e2e67a11aad0 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 35s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/kfylyspktrg7q

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #805

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/805/display/redirect?page=changes>

Changes:

[chamikaramj] Remove unnecessary reference to use_runner_v2 experiment in x-lang

[bulat.safiullin] [Website] remove beam-summit 2022 container with all related files

[yixiaoshen] Fix typo in Datastore V1ReadIT test

[noreply] Add read/write PubSub integration example fhirio pipeline (#22306)

[noreply] Remove deprecated Session runner (#22505)

[noreply] Add Go test status to the PR template (#22508)

[noreply] Relax the google-api-core dependency. (#22513)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0729100234_40ab3a6a-bb51-43eb-9af9-0e710abeb324 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 33s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/xjinmrqvalztg

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #804

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/804/display/redirect?page=changes>

Changes:

[samuelw] Fixes #22438. Ensure that WindmillStateReader completes all batched read

[noreply] 21730 fix offset resetting (#22450)

[noreply] Bump google.golang.org/api from 0.88.0 to 0.89.0 in /sdks (#22464)

[noreply] Upgrades pip before installing Beam for Python default expansion service

[noreply] [Go SDK]: Plumb allowed lateness to execution (#22476)

[Valentyn Tymofieiev] Restrict google-api-core

[Valentyn Tymofieiev] Regenerate the container dependencies.

[noreply] Replace distutils with supported modules. (#22456)

[noreply] [22369] Default Metrics for Executable Stages in Samza Runner (#22370)

[Kiley Sok] Moving to 2.42.0-SNAPSHOT on master branch.

[noreply] Remove stripping of step name. Replace removing only suffix step name


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0728100242_d5e46ee5-b6a4-4023-99a5-8b0dd2a547e2 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 27s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/bxwqsee2pr7x4

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #803

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/803/display/redirect?page=changes>

Changes:

[chamikaramj] Adds KV support for the Java RunInference transform.

[noreply] Replace distutils with supported modules. (#21968)

[noreply] Revert "Replace distutils with supported modules. " (#22453)

[noreply] Enable configuration to avoid successfully written Table Row propagation

[noreply] lint fixes for recent import (#22455)

[noreply] Bump Python Combine LoadTests timeout to 12 hours (#22439)

[noreply] convert windmill min timestamp to beam min timestamp (#21915)

[noreply] [CdapIO] Fixed necessary warnings (#22399)

[noreply] [#22051]: Add read_time support to Google Cloud Datastore connector


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0727100250_8e85f450-747e-4f13-a254-e02ad5724e0f failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 24s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/nvtufbhiy7hee

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #802

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/802/display/redirect?page=changes>

Changes:

[Steve Niemitz] Fix overly aggressive null check in RowWriterFactory

[bulat.safiullin] add executeAsTemplate to head, head_homepage, add absURL to page-nav.js,

[noreply] Bump cloud.google.com/go/bigquery from 1.35.0 to 1.36.0 in /sdks

[noreply] Disallow EventTimes in iterators (#22435)

[noreply] Update the upper bound for google-cloud-recommendations-ai. (#22398)

[noreply] LoadTestsBuilder: Disallow whitespace in option values (#22437)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0726100301_5226bbf5-1020-4c61-a055-2f4bb427e2fe failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 21s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/3wcvf7pokke3a

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Posted by Apache Jenkins Server <je...@builds.apache.org>.
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0725100247_a57db8bc-8111-4e82-8eca-b2f33e8f7018 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 21s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/hoayhjl4nqv2u

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #800

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/800/display/redirect>

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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.36 botocore-1.27.36 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.3 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.32.0 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.8 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.6 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 typing-extensions-4.3.0 typing-utils-0.1.0 urllib3-1.26.10 wcwidth-0.2.5 websocket-client-1.3.3 wrapt-1.14.1

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0724100237_14a81ba8-04be-4add-b9cc-f4bace3238c8 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 23s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ev64aauht5pqg

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #799

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/799/display/redirect?page=changes>

Changes:

[bulat.safiullin] [Website] change getting window width method

[Moritz Mack] Closes #22407: Separate sources for SparkStructuredStreamingRunner for

[Moritz Mack] Add deprecation warning for Spark 2 in SparkStructuredStreamingRunner

[noreply] Bump cloud.google.com/go/storage from 1.23.0 to 1.24.0 in /sdks (#22377)

[Pablo Estrada] Removing experimental annotation from JdbcIO

[noreply] Drop timeseries:postCommit dependency (#22414)

[noreply] Deduplicate identical environments in a pipeline. (#22308)

[noreply] Skip failing torch post commit test (#22418)

[noreply] Log level fix on local runner (#22420)

[noreply] Update element_type inference (default_type_hints) for batched DoFns

[noreply] Remove spaces in experiments (#22423)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0723100246_c70c4b4f-59cb-4998-86a8-44277f8a1793 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 28s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/pfx7pso5d3qyu

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #798

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/798/display/redirect?page=changes>

Changes:

[balazs.nemeth] BEAM-14525 Fix for Protobuf getter/setter method name discovery issue

[balazs.nemeth] BEAM-14525 Added a proto message with the problematic properties to use

[balazs.nemeth] PR CR: updating issue links

[noreply] added olehborysevych as collaborator (#22391)

[noreply] Add accept-language header for MPL license (#22395)

[noreply] Bump terser from 5.9.0 to 5.14.2 in

[noreply] Fixes #22156: Fix Spark3 runner to compile against Spark 3.2/3.3 and add


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0722100246_426791dc-267d-4155-888e-3025d1e4b64d failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 25s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/276xp4ih75u7i

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #797

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/797/display/redirect?page=changes>

Changes:

[Robert Bradshaw] Support combiner lifting.

[noreply] Bump google.golang.org/api from 0.87.0 to 0.88.0 in /sdks (#22350)

[Robert Bradshaw] More clarification.

[noreply] [CdapIO] HasOffset interface was implemented (#22193)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0721100246_a6a5b8bf-eaf4-47db-a3b0-173172abb655 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 27s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/r3e24een3tony

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #796

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/796/display/redirect?page=changes>

Changes:

[Robert Bradshaw] Require unique names for stages.

[noreply] Add links to the new RunInference content to Learning Resources (#22325)

[noreply] Unskip RunInference IT tests (#22324)

[noreply] cleaned up types in standard_coders.ts (#22316)

[noreply] JMH module for sdks:java:core with benchmarks for

[noreply] Bump cloud.google.com/go/pubsub from 1.23.1 to 1.24.0 in /sdks (#22332)

[Luke Cwik] [#22181] Fix java package for SDK java core benchmark

[Luke Cwik] Allow jmhTest to run concurrently with other jmhTest instances

[noreply] [BEAM-13015, #21250] Optimize encoding to a ByteString (#22345)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0720100247_5721a325-20da-44a8-8ee9-432055e75fef failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 38s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/cgouzh3ou6sfg

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #795

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/795/display/redirect?page=changes>

Changes:

[noreply] [BEAM-14117] Unvendor bytebuddy dependency (#17317)

[noreply] Use npm ci instead of install in CI (#22323)

[noreply] Fix typo in use_single_core_per_container logic. (#22318)

[noreply] [#22319] Regenerate proto2_coder_test_messages_pb2.py manually (#22320)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0719100238_17aa1cc5-fc4d-4e18-8258-c4119f2b299f failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 44s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ayfyxhk7szeu4

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #794

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/794/display/redirect?page=changes>

Changes:

[Alexey Romanenko] [website] Add TPC-DS benchmark documentation

[noreply] Increase streaming server timeout  (#22280)


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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.31 botocore-1.27.31 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.32.0 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.1 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.7 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.6 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 typing-extensions-4.3.0 typing-utils-0.1.0 urllib3-1.26.10 wcwidth-0.2.5 websocket-client-1.3.3 wrapt-1.14.1

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0718100239_634bd593-a7e8-4993-8956-e6361cbec06e failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 37s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/nmnqdhmb4cd44

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #793

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/793/display/redirect?page=changes>

Changes:

[vlad.matyunin] enabled multifile flag for multifile examples (PG)

[noreply] Merge pull request #22300 from Fixed [Playground] DeployExamples,


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0717100240_8cb251c7-bc91-4bef-80dc-511e7e1a5dfe failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 35s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/34xebkldehjys

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/792/display/redirect?page=changes>

Changes:

[vitaly.terentyev] [BEAM-14101] Add Spark Receiver IO package and ReceiverBuilder

[noreply] Bump protobufjs from 6.11.2 to 6.11.3 in /sdks/typescript

[egalpin] Moves timestamp skew override to correct place

[egalpin] Adds TestStream to verify window preservation of ElasticsearchIO#write

[egalpin] Removes unnecessary line

[egalpin] Adds validation that ES#Write outputs are in expected windows

[egalpin] Updates window verification test to assert the exact docs in the window

[egalpin] Uses guava Iterables over shaded avro version

[Robert Bradshaw] Don't try to parse non-flags as retained pipeline options.

[chamikaramj] Enables UnboundedSource wrapped SDF Kafka source by default for x-lang

[noreply] Merge pull request #22140 from [Playground Task] Sharing any code API

[bulat.safiullin] [Website] add playground section, update playground, update get-started

[noreply] RunInference documentation updates. (#22236)

[noreply] Turn pr bot on for remaining common labels (#22257)

[noreply] Reviewing the RunInference ReadMe file for clarity. (#22069)

[noreply] Collect heap profile on OOM on Dataflow (#22225)

[noreply] fixing the missing wrap around ring range read (#21786)

[noreply] Update RunInference documentation (#22250)

[noreply] Rewrote Java multi-language pipeline quickstart (#22263)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0716100240_6b47d510-50bc-4074-8bd6-f1520087f677 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 40s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/vn2j6rj54a724

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #791

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/791/display/redirect?page=changes>

Changes:

[Heejong Lee] [BEAM-22229] Override external SDK container URLs for Dataflow by

[danthev] Fix query retry in Java FirestoreIO.

[noreply] Split words on new lines or spaces (#22270)

[noreply] Replace \r\n, not just \n

[noreply] Pg auth test (#22277)

[noreply] [BEAM-14073] [CdapIO] CDAP IO for batch plugins: Read, Write. Unit tests

[Heejong Lee] update

[noreply] [Fix #22151] Add fhirio.Deidentify transform (#22152)

[noreply] Remove locks around ExecutionStateSampler (#22190)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0715100307_e92ac09e-6ebf-4216-97fa-6cb3c591bfa6 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 25s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/wi3i3nsmeqeus

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #790

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/790/display/redirect?page=changes>

Changes:

[Heejong Lee] [BEAM-14506] Adding testcases and examples for xlang Python RunInference

[Heejong Lee] update

[Heejong Lee] update

[noreply] Move Go Primitives Integration Tests to Generic Registration (#22247)

[noreply] Move native Go examples to generic registration (#22245)

[noreply] Move youngoli to the reviewer exclusion list (#22195)

[noreply] Bump google.golang.org/api from 0.86.0 to 0.87.0 in /sdks (#22253)

[noreply] Bump cloud.google.com/go/bigquery from 1.34.1 to 1.35.0 in /sdks

[noreply] Bump google.golang.org/grpc from 1.47.0 to 1.48.0 in /sdks (#22252)

[noreply] Merge pull request #15786: Add gap-filling transform for timeseries

[chamikaramj] Adds an experiment that allows opting into using Kafka SDF-wrapper

[noreply] Defocus iframe on blur or mouseout (#22153) (#22154)

[noreply] Fix pydoc rendering for annotated classes (#22121)

[noreply] Fix typo in comment (#22266)


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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.29 botocore-1.27.29 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.32.0 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.1 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.3 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.7 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.6 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 typing-extensions-4.3.0 typing-utils-0.1.0 urllib3-1.26.10 wcwidth-0.2.5 websocket-client-1.3.3 wrapt-1.14.1

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0714100304_8c5c4ed5-ca30-46a7-bdb4-5c3d7ea714b2 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 30s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/zrp3lpopn5nko

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #789

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/789/display/redirect?page=changes>

Changes:

[naireenhussain] add new pubsub urn

[Pablo Estrada] Several requests to show experiments in Dataflow UI

[byronellis] Add org.pentaho to calcite relocated packages to fix vendoring

[noreply] Adding VladMatyunin as collaborator (#22239)

[noreply] Mark session runner as deprecated (#22242)

[noreply] Update google-cloud-core dependency to <3 (#22237)

[noreply] Move WC integration test to generic registration (#22248)

[noreply] Move Xlang Go examples to generic registration (#22249)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0713100248_03148751-3ac0-4ccb-b54f-07e3f70edf52 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 53s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/dz4onjwh3fvxa

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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beam_LoadTests_Python_ParDo_Flink_Streaming - Build # 788 - Aborted!

Posted by Apache Jenkins Server <je...@builds.apache.org>.
beam_LoadTests_Python_ParDo_Flink_Streaming - Build # 788 - Aborted:

Check console output at https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/788/ to view the results.

Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #787

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/787/display/redirect?page=changes>

Changes:

[noreply] [Website] Update minimum required Go version for sdk development

[noreply] Parallelizable DataFrame/Series mean (#22174)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0706185439_c1bdd0cc-c569-499c-8521-08a1323cac2a failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 41s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/wpal63cap3jm4

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #786

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See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/786/display/redirect?page=changes>

Changes:

[noreply] Add typescript documentation to the programing guide. (#22137)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0706185439_6ddbf74d-73b4-4a3c-8afb-2a1d878ed976 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 38s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/gdkz4xala6rmy

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/785/display/redirect?page=changes>

Changes:

[bulat.safiullin] [Website] change case studies link from staging to relative path

[bulat.safiullin] [Website] add I/O Connectors link to dropdown list, updating link to

[noreply] Update Go BPG xlang documentation to include Java automated service

[noreply] Merge pull request #22096 from [Playground] Infrastructure for sharing

[noreply] Support dependencies and remote registration in the typescript SDK.

[noreply] [BEAM-13015, #22050] Make SDK harness msec counters faster using ordered

[yathu] Fix build error due to dep confliction of google-cloud-bigquery-storage

[yathu] Fix atomicwrites old version purge on pypi

[noreply] Fix default type inference of CombinePerKey. (#16351)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.util.ServiceConfigurationError: com.fasterxml.jackson.databind.Module: Provider com.fasterxml.jackson.module.jaxb.JaxbAnnotationModule not a subtype
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0706185439_bff050b8-dd99-4dbb-bba2-8ec1952c73c4 failed in state FAILED: java.util.ServiceConfigurationError: com.fasterxml.jackson.databind.Module: Provider com.fasterxml.jackson.module.jaxb.JaxbAnnotationModule not a subtype

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 26s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/756dneugsj65w

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Changes:

[bulat.safiullin] [Website] add refresh to page-nav.js

[relax] set timestamp when outputting finalize element

[alexey.inkin] Declarative theming, Remove duplicate PlaygroundState for embedded page,

[yathu] Fix Hadoop upload corrupted due to buffer reuse

[noreply] Propogate error messages from GcsUtil (#22079)

[noreply] Reenable Jenkins comment triggers (#22169)

[benjamin.gonzalez] Fix testKafkaIOReadsAndWritesCorrectlyInStreaming failing for kafka

[noreply] Add `schema_options` and `field_options` on RowTypeConstraint (#22133)

[noreply] Optimize locking in several critical-path methods (#22162)

[noreply] Deprecate AWS IOs (Java) using AWS SDK v1 in favor of IOs in


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0706185439_2a56475e-18bf-48fb-8aef-85a522bfac74 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 34s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/22xzkk5bc6isi

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #783

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/783/display/redirect?page=changes>

Changes:

[noreply] [BEAM-11103] Add blog post for go 2.40 release (#17723)

[noreply] Fix test_row_coder_fail_early_bad_schema fails run after

[noreply] Tune ByteStringCoder allocations (#22144)

[noreply] Enable passing tests on dataflow runner v2. (#22136)

[noreply] Merge pull request #17727 from [BEAM-9482] Fix "provided port is already

[noreply] Fix date for go 2.40 blog post

[noreply] Fix month for 2.40 go blog post

[noreply] [BEAM-14545] Optimize copies in dataflow v1 shuffle reader. (#17802)

[noreply] Tune StreamingModeExecutionContext allocations (#22142)

[noreply] [BEAM-3221] Improve documentation around split request and response

[noreply] Fix documentation about hand implemented global aggregations (#22173)

[noreply] Merge pull request #21872 from Standardizing output of WriteToBigQuery


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0706185439_bb09928a-2610-468a-a170-faa5ecc65997 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 33s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/6s57hjsaselsc

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #782

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/782/display/redirect>

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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.12.0 boto3-1.24.23 botocore-1.27.23 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-1.7.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.0 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.3 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.6 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.6 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 typing-extensions-4.3.0 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.3 wrapt-1.14.1

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0706100250_34d78bf2-38ee-4d58-966c-b9c306522f9c failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 31s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/etv7pqin3z4zq

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/781/display/redirect>

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Successfully built apache-beam
Installing collected packages: wcwidth, pytz, pyasn1, parameterized, docopt, crcmod, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, oauthlib, numpy, more-itertools, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, atomicwrites, sqlalchemy, scipy, requests, pyarrow, pluggy, pandas, overrides, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0705100241_ef83267e-6a10-4436-b172-5db3d404b391 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 34s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/grruwngc47do2

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #780

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/780/display/redirect?page=changes>

Changes:

[noreply] Go SDK: Update memfs to parse the List() pattern as a glob, not a regexp

[noreply] Bump cloud.google.com/go/pubsub from 1.23.0 to 1.23.1 in /sdks (#22122)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0704100248_78aab3e3-fd5a-4668-aa0a-bde8e5637f51 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 27s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/exdzbyjlpsz5s

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/779/display/redirect?page=changes>

Changes:

[noreply] Sharding IO tests(amazon web services and amazon web services 2) from


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0703100241_3fee87d8-cb05-461e-a92f-7a4c37de7bb3 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 41s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ae274pgctuu3m

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #778

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/778/display/redirect?page=changes>

Changes:

[noreply] Python: Use RowTypeConstraint for normalizing all schema-inferrable user

[noreply] changing nameBase value to Java_GCP_IO_Direct (#22128)

[noreply] Bump dataflow fnapi java sdk version (#22127)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0702100247_7c10f8cf-e5ca-4ed9-9512-1182162c31c7 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 43s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/o7sgekh6i364c

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #777

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/777/display/redirect?page=changes>

Changes:

[alexey.inkin] Do not re-create PlaygroundState (#21950)

[Moritz Mack] Deprecate runner support for Spark 2.4 (closes #22094)

[noreply] [BEAM-14187] Fix NPE at initializeForKeyedRead in IsmReaderImpl (#22111)

[noreply] Remove unused legacy dataflow translate code (#22019)

[noreply] Fixes #21698: Use normal Container snapshots for Go Load Tests (#22102)

[noreply] Change default, options, and explanation for issue priority (#22116)

[noreply] Minor: Bump flake8 to 4.0.1 (#22110)

[noreply] Add sdk_harness_log_level_overrides option for python sdk (#22077)

[noreply] Fix typo in Pytorch Bert Language Modeling (#22114)

[noreply] Fix #21977: Add Search transform to Go FhirIO (#21979)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0701100244_3bf3db43-c562-4613-8cc7-ba076a53c890 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 40s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ucm6spy7jfcmu

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #776

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/776/display/redirect?page=changes>

Changes:

[alexey.inkin] Add an abstract layer for analytics, fix logging change of snippet, fix

[damondouglas] Implement PubsubSchemaTransformMessageToFactory

[bulat.safiullin] [Website] add scroll-spy to body in case-studies/baseof.html

[noreply] Update issue bot to javascript and add label management (#22067)

[noreply] Clean up issue management doc page

[noreply] [BEAM-13015, #21250, fixes #22053] Improve PCollectionConsumerRegistry

[noreply] sharding GCP IO tests from the javaPostCommit task (#21800)

[noreply] Bump cloud.google.com/go/storage from 1.22.1 to 1.23.0 in /sdks (#22038)

[noreply] Followup sharding javaPostCommit (#22081)

[noreply] remove mention of dill in release notes as it's not relevant. (#22087)

[noreply] [#21634] Add comments on FieldValueGetter. (#21982)

[noreply] Bump google.golang.org/api from 0.85.0 to 0.86.0 in /sdks (#22092)

[noreply] [BEAM-6597] Replace ProgressRequestCallback with BundleProgressReporter

[noreply] [Go SDK] Go Lint fixes  (#21967)

[noreply] Fix #21869: Close GRPC connections on cancel (#21874)

[noreply] Add FlatMap(<builtin>) known issue to 2.40.0 blog (#22101)

[noreply] [BEAM-14347] Update docs to prefer generic registration functions

[Andrew Pilloud] Projection Pushdown optimizer on by default

[noreply] Merge pull request #21752 from Feature/beam 13852 reimplement with

[noreply] Change wording of Pytorch LM example (#22099)

[noreply] Fix missing model_params in Pytorch docstring  (#22100)

[noreply] Test and fix FlatMap(<builtin>) issue (#22104)

[noreply] Fix InputStream on platform with 4 bytie long (#22107)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0630100249_6594b519-43ba-4fd7-9f8a-4c6591c2022e failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/jhpg5ujxz6lcw

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Changes:

[Pablo Estrada] Blog post and updates for release 2.40.0

[noreply] 22011 remove checks on client.close() except when

[noreply] update flutter version to 3.0.1-stable (#22062)

[noreply] Add randomness to integration test job names to avoid collisions

[noreply] Give @pcoet triage permission (#22068)

[noreply] Issue#20877 Updated Interactive Beam README (#22034)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0628100333_80053967-ce38-4907-bb83-b5602aa1b594 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 51s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/gbgd5o6tqaemc

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0627100326_ca908f03-9f12-4f98-8713-7a8aaa470ba9 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 31s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/skm3rrgixioi2

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0626100338_a9d4980c-9ee0-4672-9c44-b8e3da30f54a failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 29s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/cwovpqb2yk3q6

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #772

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/772/display/redirect?page=changes>

Changes:

[Robert Bradshaw] Use WindowedValue.withValue rather than WindowedValue.of in

[Robert Bradshaw] [BEAM-14464] More efficient grouping keys in precombiner table.

[Robert Bradshaw] fix compile after merge

[Robert Bradshaw] spotless

[Robert Bradshaw] Only flush every Nth element.

[Robert Bradshaw] spotless

[Robert Bradshaw] Post-merge fix.

[Robert Bradshaw] Fix test expectations.

[bulat.safiullin] [Website] add guard expressions to fix-menu and page-nav

[noreply] Enable close issue as not planned (#22032)

[noreply] Rename README.md to ACTIONS.md (#22043)

[noreply] Removes examples of unscalable sinks from documentation. (#22020)

[noreply] Unify to a single issue report (#22045)

[noreply] Remove colon in issue report

[noreply] Bump cloud.google.com/go/pubsub from 1.22.2 to 1.23.0 in /sdks (#22036)

[noreply] Fix vendored dependency issue and other style checks (#22046)

[noreply] Bump shell-quote (#21983)

[noreply] Revert "[BEAM-13590]Update Pytest version to support Python 3.10

[noreply] Bump cloud.google.com/go/bigquery from 1.32.0 to 1.34.1 in /sdks

[noreply] Bump github.com/spf13/cobra from 1.4.0 to 1.5.0 in /sdks (#21955)

[yathu] checkStlye Fix: remove redundant static and public in interface. camel

[noreply] Fix DEADLINE_EXCEEDED flakiness  (#22035)

[noreply] Fix SpannerIO flakes (#22023)


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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.1 azure-storage-blob-12.12.0 boto3-1.24.17 botocore-1.27.17 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.0 charset-normalizer-2.0.12 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.1 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-1.7.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.0 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.3 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.3 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.6 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.0 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 typing-extensions-4.2.0 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.3 wrapt-1.14.1

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0625100330_718a4a3d-dfe1-4773-a07d-f4e6c3d1d7fd failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 36s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/r6yn6uze7rqzg

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #771

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/771/display/redirect?page=changes>

Changes:

[noreply] Canonicalize standard_coders.yaml booleans

[andyye333] Move wrapper class outside run()

[noreply] Fix issues with test ordering (#21986)

[noreply] Followup fix FileIOTest.testMatchWatchForNewFiles flaky (#21877)

[noreply] Fix links for issue report (#22033)

[noreply] Merge pull request #21953 from Implement


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Building wheels for collected packages: apache-beam
  Building wheel for apache-beam (setup.py): started
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Successfully installed apache-beam-2.41.0.dev0 attrs-21.4.0 azure-core-1.24.1 azure-storage-blob-12.12.0 boto3-1.24.16 botocore-1.27.16 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.0 charset-normalizer-2.0.12 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.1 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-1.7.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.0 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.3 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.3 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 proto-plus-1.20.6 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.2 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.0 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.38 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.2.0 typing-utils-0.1.0 urllib3-1.26.9 websocket-client-1.3.3 wrapt-1.14.1

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0624100340_c5c5eb37-4628-4c6f-b47d-c63c35997b97 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 35s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/y2cj7h5v5nfdu

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #770

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/770/display/redirect?page=changes>

Changes:

[Robert Bradshaw] Streaming-related runner fixes.

[Robert Bradshaw] Improvements to auto-started services.

[Robert Bradshaw] Fix version, asserts for remote execution.

[Robert Bradshaw] Add IO dependencies.

[Robert Bradshaw] Add several cross-language IOs.

[Robert Bradshaw] Disable tests that require new release is required for out-of-the-box

[rszper] Correcting the regex for the Dataflow job name.

[noreply] Bump google.golang.org/api from 0.83.0 to 0.85.0 in /sdks (#21974)

[noreply] [Go SDK] Adds a snippet for GBK in BPG (#21842)

[noreply] Update parameterized requirement in /sdks/python (#21975)

[noreply] Merge pull request #21981 from [Playground] Upgrade Flutter linter, fix

[noreply] Clean up redundant articles, prepositions, conjunctions appeared

[noreply] Fix FlatMap numpy array bug (#22006)

[Robert Bradshaw] More strongly typed outputs.


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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0623100323_cc0eab28-04f3-4ec8-9b0b-ded74db30221 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 31s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/xgchmmfjv7hti

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #769

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/769/display/redirect?page=changes>

Changes:

[yiru] fix: Add a retry code to insertall retry policy

[johnjcasey] 21742 add warning for risky kafka configuration

[johnjcasey] 21742 run spotless

[noreply] [BEAM-13590]Update Pytest version to support Python 3.10 (#17791)

[noreply] Fix target email for flaky test/p0/p1 reports

[noreply] Add unit testing for graphx/user.go (#21962)

[bulat.safiullin] [Website] add lyft to quote cards on homepage, use relative paths for

[noreply] Update documentations and document generation (#21965)

[noreply] Add ExecuteBundles transform to Go FhirIO (#21840)

[noreply] Bump cloud.google.com/go/datastore from 1.6.0 to 1.8.0 in /sdks (#21973)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0622100337_231dda12-155f-4089-9d6f-fe91ef91952a failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 31s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/cesshe2a77ite

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #768

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/768/display/redirect?page=changes>

Changes:

[Alexey Romanenko] [BEAM-12918] Add PostCommit_Java_Tpcds_Flink job

[noreply] Modified KafkaIO.Read SDF->Legacy forced override to fail if configured


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0621100332_5b15b011-b17e-43e7-9a70-6c0fdee11fec failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 30s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/t2z4iejakmwue

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0620100329_ce151d6e-7785-42fc-9f2e-cb9ea12874bc failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 33s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/57ifjzkz6hfag

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/766/display/redirect?page=changes>

Changes:

[Pablo Estrada] Removing playground from main page to remove scrolling issue

[noreply] Merge pull request #21940 from [21941] Fix no output timestamp case


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0619100324_ba09b139-79ec-4053-8710-685b010222e9 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 28s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/fwhe2npy57gcw

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #765

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/765/display/redirect?page=changes>

Changes:

[yathu] Unsickbay copy_rewrite_token tests

[ahmedabualsaud] test fixes

[ahmedabualsaud] no need for this line

[Kenneth Knowles] Suppress unneeded spotbugs unused store warnings

[Kenneth Knowles] Eliminate nullness errors in KafkaIO

[yathu] Fix beam_PostCommit_Java_Sickbay build

[noreply] Expand pr bot to python (#21791)

[noreply] Update run inference documentation (#21921)

[noreply] Consider skipped checks successful (#21924)

[bulat.safiullin] [Website] add publishdate attribute to frontmatter

[noreply] Add guidance on self-assigning/closing to issue templates (#21931)

[noreply] Update names.py

[noreply] [Website] add new case-study, fix styles, add related images (#21891)

[noreply] Merge pull request #21928 from [Fixes #21927] Compress

[noreply] BigQueryIO: Adding the BASIC view setting to getTable request  (#21879)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0618100346_5ca1579c-dd6a-41a6-88d2-d0cebb4bcbe7 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 33s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/cd25d6vmog2gc

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #764

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/764/display/redirect?page=changes>

Changes:

[egalpin] Drops usage of setWindowingStrategyInternal in favour of direct use of

[egalpin] Gives unique names to ES IO Write windowing

[yathu] [BEAM-3177][BEAM-5468] Add pipeline options to set default logging level

[Pablo Estrada] Update Python base image requirements

[Kenneth Knowles] Revert "convert windmill min timestamp to beam min timestamp"

[noreply] Fix a few small config issues (#21909)

[dannymccormick] Update py to python label

[noreply] Daily p0/p1/flaky reports for issues (#21725)

[noreply] Remove dataframe warnings from py38-docs logs (#21861)

[noreply] Update references to Jira to GH for the Java SDK (#21836)

[noreply] [21709] - Fix for "beam_PostCommit_Java_ValidatesRunner_Samza Failing"

[noreply] Update references to jira to GH for the Runners (#21835)

[noreply] Update remaining references to Jira to GH (#21834)

[Kenneth Knowles] Re-activate nullness checking for some of sdks/java/core/coders


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0617100332_39dfad70-47ee-43b1-83c9-aa082daac439 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 3m 1s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/ekrd4afeimel2

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #763

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/763/display/redirect?page=changes>

Changes:

[naireenhussain] convert windmill min timestamp to beam min timestamp

[dannymccormick] Mark issues as triaged when they are assigned

[nielm] Add Spanner Integration tests to verify exception handling

[noreply] Sickbay Pytorch example IT test (#21857)

[noreply] Add required=True to Pytorch image classification example (#21883)

[noreply] Switch go todos from issue # syntax to links (#21890)

[Valentyn Tymofieiev] Rollback dill.

[noreply] Add Pytorch image segmentation example (#21766)

[noreply] Add README documentation for scikit-learn MNIST example (#21887)

[noreply] Decompose labels for new issues (#21888)

[noreply] Use Go 1.18 for go-licenses (#21896)

[noreply] [BEAM-12903] Cron job to cleanup Dataproc leaked resources (#21779)

[noreply] [BEAM-7209][BEAM-9351][BEAM-9428] Upgrade Hive to version 3.1.3 (#17749)

[noreply] Sharding IO tests (Kafka, Debezium, JDBC, Kinesis, Neo4j) from the

[noreply] Merge pull request #17604 from [BEAM-14315] Match updated files

[noreply] Merge pull request #21781 from Sklearn Mnist example and IT test

[noreply] Get the latest version of go-licenses (#21901)

[noreply] Hide internal helpers added to DoFn for batched DoFns (#21860)

[noreply] Updated documentation for ml.inference docs. (#21868)

[Pablo Estrada] Moving to 2.41.0-SNAPSHOT on master branch.

[noreply] Add a type hint to nexmark query 3 joinFn (#21873)


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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.1 azure-storage-blob-12.12.0 boto3-1.24.10 botocore-1.27.10 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.0 charset-normalizer-2.0.12 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.1 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-1.7.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.0 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.2 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.46.3 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.0 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.2 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.6 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.0 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.37 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 typing-extensions-4.2.0 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.2 wrapt-1.14.1

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0616102411_8ba1ee51-5fd9-40b5-91dd-2749de0256f9 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 43s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/nzy2dcfkyfhcw

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #762

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/762/display/redirect?page=changes>

Changes:

[nielm] Add transform names to help debug flaky test

[chamikaramj] Automatically enable Runner v2 for pipelines that use cross-language

[bulat.safiullin] [BEAM-13229] side nav bug fixed

[bulat.safiullin] fix links for pipelines

[Jan Lukavský] [BEAM-14265] Add watermark hold for all timers

[noreply] Bump Python beam-master container (#21820)

[noreply] Split PytorchModelHandler into PytorchModelHandlerTensor and

[noreply] Fix Hadoop Downloader Range not correct (#21778)

[noreply] [BEAM-14036] Read Configuration for Pub/Sub SchemaTransform (#17730)

[noreply] [Go SDK] Add more info to Worker Status API (#21776)

[noreply] Make PeriodicImpulse generates unbounded PCollection (#21815)

[noreply] [BEAM-14267] Update watchForNewFiles to allow watching updated files

[noreply] fix timestamp conversion in Google Cloud Datastore Connector (#17789)

[noreply] Update references to Jira to GH for the Go label (#21830)

[noreply] [#21853] Adjust Go cross-compile to target entire package (#21854)

[Kenneth Knowles] Adjust Jenkins configuration to allow more memory per JVM

[noreply] [BEAM-14553] Add destination coder to FileResultCoder components

[noreply] copyedited README for RunInference examples (#21855)

[noreply] Document and test overriding batch type inference (#21844)

[noreply] Update references to Jira to GH for the Python SDK (#21831)

[noreply] add highlights to changes (#21865)

[noreply] Merge pull request #21793: [21794 ] Fix output timestamp in Dataflow.

[noreply] Adding more info to the sdk_worker_parallelism description (#21839)

[noreply] Add Bert Language Modeling example (#21818)

[noreply] [BEAM-14524] Returning NamedTuple from RunInference transform (#17773)

[noreply] Unit tests for RunInference keyed/unkeyed Modelhandler and examples

[noreply] Remove kwargs and add explicit runinference_args (#21806)

[noreply] Modify README for 3 pytorch examples (#21871)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 607, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0615100348_976d8729-d9e9-4bc3-96ac-f04db692cc7e failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 4m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/d5v54shlsirf6

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #761

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/761/display/redirect?page=changes>

Changes:

[noreply] Bump cloud.google.com/go/pubsub from 1.21.1 to 1.22.2 in /sdks

[dannymccormick] Stop collecting jira metrics

[dannymccormick] Move to contains notation

[dannymccormick] fix query to get all updated issues

[noreply] Refactor code according to keyedModelHandler changes (#21819)

[noreply] Add RunInference API to CHANGES.md (#21754)

[Kenneth Knowles] Do not allow postcommit jobs phrase triggering

[noreply] Refactor API code to base.py in RunInference (#21801)

[noreply] Provide a diagnostic error message when a filesystem scheme is not

[Kiley Sok] Disable more triggers

[noreply] [BEAM-14532] Add integration testing to fhirio Read transform (#17803)

[noreply] Merge pull request #17794 from [#21252] Enforce pubsub message

[noreply] Separated pandas and numpy implementations of sklearn. (#21803)

[noreply] Composite triggers and unit tests for Go SDK (#21756)

[Kiley Sok] Enable phrase trigger for a few post commits

[Kiley Sok] spotless

[noreply] [BEAM-14557] Read and Seek Runner Capabilities in Go SDK  (#17821)

[noreply] [BEAM-13806] Add x-lang BigQuery IO integration test to Go SDK. (#16818)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0614100353_3290989d-5551-4a01-a854-2734733318f1 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/v3sjubvpxzdca

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0610150544_402f1841-4c2a-43ee-b845-0bc60d7c5255 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 47s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/3mein6l6t7g22

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.util.ServiceConfigurationError: com.fasterxml.jackson.databind.Module: Provider com.fasterxml.jackson.module.jaxb.JaxbAnnotationModule not a subtype
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0610150544_d022a793-2d45-471b-a361-d681c1162894 failed in state FAILED: java.util.ServiceConfigurationError: com.fasterxml.jackson.databind.Module: Provider com.fasterxml.jackson.module.jaxb.JaxbAnnotationModule not a subtype

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 28s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/bstv6tfoubb6y

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #758

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/758/display/redirect?page=changes>

Changes:

[noreply] [BEAM-13769]Add no_xdist marker for cloudpickle test (#17538)

[noreply] [BEAM-14533] Bump cloudpickle to 2.1.0 (#17780)

[noreply] Add basic byte size estimation for batches (#17771)

[noreply] Add @yields_batches and @yields_elements (#19268)

[noreply] [BEAM-14535] Added support for pandas in sklearn inference runner

[noreply] Merge ModelLoader and InferenceRunner into same class. (#21795)

[noreply] Merge pull request #17589 from [BEAM-14422] Exception testing for

[noreply] Add README for image classification example (#21758)

[anandinguva98] fixup: bug

[noreply] Fix every PR linking to PR 123 (#21802)

[noreply] Add native PubSub IO prototype to Go (#17955)

[noreply] Allow creation of dynamically defined transforms in the Python expansion

[noreply] Make keying of examples explicit. (#21777)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0610150544_56faec5b-7e1a-4e90-931d-1afedb63cde5 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 46s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/rk3q4z3f4mrzg

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #757

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/757/display/redirect?page=changes>

Changes:

[nishantjain] [BEAM-14000] Elastic search IO doesnot work when both username/password

[nishantjain] Fixes issue with httpclientbuilder - Use the existing builder instead of

[nishantjain] moves sslcontext towards starting of function

[nishantjain] adds unit test

[nishantjain] changes unit test to directly built restclient

[nishantjain] changes name of unit test

[nishantjain] adds test to all elasticsearch folder

[nishantjain] updates changes.md

[nishantjain] spotless fix

[dannymccormick] Update dashboards to use gh data instead of jira data

[noreply] Merge pull request #21746: Exclude GCP Java packages from Dependabot

[noreply] Update .test-infra/metrics/grafana/dashboards/source_data_freshness.json

[noreply] Better cross langauge support for dataframe reads. (#21762)

[noreply] Add template_location flag to Go Dataflow runner (#21774)

[noreply] [BEAM-14406] Drain test for SDF truncation in Go SDK (#17814)

[noreply] More Jira -> Issues doc updates (#21770)

[noreply] [BEAM-11104] Add code snippet for Go SDK Self-Checkpointing (#17956)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0610100338_d6e4fbfa-59ea-4c53-b145-7a03e446c785 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

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Changes:

[dannymccormick] Gather metrics on GH Issues

[dannymccormick] Fixes

[dannymccormick] Fixes

[dannymccormick] Comment + naming fix

[dannymccormick] Conflicts fix

[dannymccormick] Ordering

[dannymccormick] Different fallback for prs/issues

[noreply] Add ability to self-assign issues for non-committers (#21719)

[dannymccormick] Fix sync time

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[noreply] Merge pull request: [Beam-14528]: Add ISO time format support for

[noreply] Update all links to in progress jiras to issues (#21749)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0609100351_47e15ed7-d308-4383-9e54-dfc3011d7b30 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 37s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/secnkzs2cctuo

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #755

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/755/display/redirect?page=changes>

Changes:

[nielm] Fix SpannerIO service call metrics and improve tests.

[Alexey Romanenko] [BEAM-12918] Add PostCommit_Java_Tpcds_Dataflow job

[andyye333] Add Pytorch support for batched keyed examples

[andyye333] Add general support for non-batchable kwargs params; Add

[noreply] [BEAM-12554] Create new instances of FileSink in sink_fn (#17708)

[noreply] DataflowRunner: Experiment added to disable unbounded PCcollection

[vachan] Fix for increased FAILED_PRECONDITION errors in BQ Read API.

[noreply] More flexible Python Callable type. (#17767)

[noreply] Fix typos in README (#17675)

[vachan] Adding comments.

[noreply] Bump google.golang.org/api from 0.81.0 to 0.83.0 in /sdks (#21743)


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Successfully installed apache-beam-2.40.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.1 azure-storage-blob-12.12.0 boto3-1.24.4 botocore-1.27.4 cachetools-4.2.4 certifi-2022.5.18.1 cffi-1.15.0 charset-normalizer-2.0.12 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.2 deprecation-2.1.0 dill-0.3.5.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.0 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.3 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.1 google-cloud-core-1.7.2 google-cloud-datastore-1.15.4 google-cloud-dlp-3.7.1 google-cloud-language-1.3.1 google-cloud-pubsub-2.13.0 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.2 google-cloud-videointelligence-1.16.2 google-cloud-vision-1.0.1 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.2 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.46.3 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.0 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.7.0 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.2 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.5 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.37 tenacity-5.1.5 testcontainers-3.5.4 threadpoolctl-3.1.0 typing-extensions-4.2.0 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.2 wrapt-1.14.1

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0608100341_7c4d1f75-86dd-4bd9-872d-100da646638c failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 40s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/skj3s7pfqclio

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #754

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/754/display/redirect?page=changes>

Changes:

[yathu] [BEAM-14471] Fix PytestUnknownMarkingWarning

[Robert Bradshaw] Populate missing display data for remotely expanded transforms.

[Robert Bradshaw] Add an option to run Python operations in-line when invoked as a remote

[Robert Bradshaw] Pass options underlying runner in remote job service.

[noreply] Update Jira -> Issues in the Readme

[noreply] [Fixes #18679] Ensure that usage of metrics on a template job reports an

[noreply] Clean up uses of == instead of === in ts sdk (#17732)

[Robert Bradshaw] Comment, lint fixes.

[noreply] Mount GCP credentials in local docker environments. (#19265)

[noreply] [BEAM-14068]Add Pytorch inference IT test and example (#17462)

[noreply] [Playground] [Hotfix] Remove autoscrolling from embedded editor (#21717)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0607100454_0d32099e-0153-40d8-a197-b42535ba128d failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 42s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/izeornxqupluu

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0606100327_3d96a7f2-7562-4724-9c73-7a73907e5c3f failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/vbyaqcpmn42ti

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0605100335_9992f650-f2d9-4564-9e33-2f8aca1bb6f9 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 41s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/5rrohzebaj33w

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #751

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/751/display/redirect?page=changes>

Changes:

[noreply] [BEAM-14441] Enable GitHub issues (#17812)

[Pablo Estrada] Revert "Merge pull request #17492 from [BEAM-13945] (FIX) Update Java BQ

[noreply] Alias worker_harness_container_image to sdk_container_image (#17817)

[noreply] [BEAM-14546] Fix errant pass for empty collections in Count (#17813)

[noreply] Merge pull request #17741 from [BEAM-14504] Add support for including

[noreply] Merge pull request #18374 from [BEAM-13945] Roll forward JSON support

[noreply] Merge pull request #17792 from [BEAM-13756] [Playground] Merge Log and

[noreply] Merge pull request #17779: [BEAM-14529] Add integer to float64

[noreply] [BEAM-14556] Honor the formatter installed on the root handler. (#17820)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0604100339_813af4fd-91f4-447e-a299-8bcd1bb42a06 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 41s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/mbuz7dllos3zq

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #750

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/750/display/redirect?page=changes>

Changes:

[dannymccormick] [BEAM-14446] Update some docs to point to GitHub issues

[dannymccormick] More doc updates

[dannymccormick] Update issueManagement fields

[dannymccormick] Fix website build

[dannymccormick] Remove extraneous comment line

[noreply] Commit message guidance

[noreply] [BEAM-14539] Ensure that the print stream can handle larger byte arrays

[noreply] [BEAM-10976] Fix bug with bundle finalization on SDFs (and a small doc

[noreply] Bump google.golang.org/grpc from 1.46.2 to 1.47.0 in /sdks (#17806)

[noreply] Rename pytorch files (#17798)

[noreply] Merge pull request #17492 from [BEAM-13945] (FIX) Update Java BQ

[noreply] [BEAM-11105] Add more watermark estimation docs for go (#17785)

[noreply] [BEAM-11106] documentation for SDF truncation in Go (#17781)

[noreply] [BEAM-11167] Updates dill package to version 0.3.5.1 (#17669)

[noreply] [BEAM-6258] Use gRPC 1.33.1 as min version to ensure that we pickup


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0603100333_309ccd8d-13d9-4a03-b5c7-c135dac48657 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 44s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/6asfcjbz7cgtw

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #749

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/749/display/redirect?page=changes>

Changes:

[Kenneth Knowles] Fix parsing of -PenableCheckerFramework in build

[Kenneth Knowles] Fix additional nullness errors in BigQueryIO

[yathu] [BEAM-13984] followup Fix precommit

[noreply] [BEAM-14513] Add read transform and initial healthcare client (#17748)

[noreply] [BEAM-14536] Handle 0.0 splits in offsetrange restriction (#17782)

[noreply] [BEAM-14470] Use lifecycle method names directly. (#17790)

[noreply] [BEAM-14297] add nullable annotations and an integration test (#17742)

[noreply] Only generate Javadocs for latest Spark runner version (Spark 3) to fix

[noreply] Fail Javadoc aggregateJavadoc task if there's an error (#17801)

[noreply] Merge pull request #17753 from [BEAM-14510] adding exception tests to

[noreply] feat: allow for unknown values in change streams (#17655)

[noreply] Support JdbcIO autosharding in Python (#16921)

[noreply] [BEAM-14511] Growable Tracker for Go SDK (#17754)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_89685759-645b-4bb6-9c36-db6d9d7172d1 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 41s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/bdxve2atopxaa

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #748

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/748/display/redirect?page=changes>

Changes:

[chamikaramj] Adds Java cross-language transforms for invoking Python Map and FlatMap

[noreply] [BEAM-14255] Drop clock abstraction (#17671)

[noreply] Adds __repr__ to NullableCoder (#17757)

[noreply] Merge pull request #17683 from [BEAM-14475] add test cases to GcsUtil

[noreply] [BEAM-14410] Add test to demonstrate BEAM-14410 issue in non-cython

[noreply] [BEAM-14449] Support cluster provisioning when using Flink on Dataproc

[noreply] [BEAM-14527] Implement "Beam Summit 2022" banner (#17776)

[noreply] Merge pull request #17222 from [BEAM-12164] Feat: Add new restriction

[noreply] Merge pull request #17598 from [BEAM-14451] Support export to BigQuery

[noreply] Add typing information to RunInferrence. (#17762)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_bbf38ef0-f923-4a9d-bc2b-d425bac92aee failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 55s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/m2a7umnubtkbe

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #747

Posted by Apache Jenkins Server <je...@builds.apache.org>.
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_96d07789-9158-49fc-9afd-39ef243fee2f failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 41s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/yzhdsvjto42wm

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #746

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/746/display/redirect?page=changes>

Changes:

[noreply] [BEAM-14170] - Create a test that runs sickbayed tests (#17471)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_2ca858d1-ccdc-4e6c-a3c0-35afa46713c9 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/dewljdr4emqru

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #745

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/745/display/redirect>

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Successfully installed apache-beam-2.40.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.0 azure-storage-blob-12.12.0 boto3-1.23.10 botocore-1.26.10 cachetools-4.2.4 certifi-2022.5.18.1 cffi-1.15.0 charset-normalizer-2.0.12 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.4.12 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.3 google-cloud-bigquery-storage-2.13.1 google-cloud-bigtable-1.7.1 google-cloud-core-1.7.2 google-cloud-datastore-1.15.4 google-cloud-dlp-3.7.0 google-cloud-language-1.3.1 google-cloud-pubsub-2.12.1 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.2 google-cloud-videointelligence-1.16.2 google-cloud-vision-1.0.1 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.2 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.46.3 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.0 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.6.21 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.6.8 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.5 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.5.2 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.36 tenacity-5.1.5 testcontainers-3.5.4 threadpoolctl-3.1.0 typing-extensions-4.2.0 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.2 wrapt-1.14.1

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_71ec372a-d24a-4c38-bd37-a61aafa174bc failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 33s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/gcs5ciaiybvhu

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #744

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/744/display/redirect?page=changes>

Changes:

[ilion.beyst] minor: don't capture stderr in kata tests

[Kiley Sok] Update beam-master version for legacy

[Heejong Lee] Fix NonType error when importing google.api_core fails

[noreply] [BEAM-13972] Update documentation for run inference (#17508)

[noreply] [BEAM-14502] Fix: Splitting scans into smaller chunks to buffer reads

[noreply] [BEAM-14218] Add resource location hints to base inference runner.

[noreply] [BEAM-14442] Ask for repro steps/redirect to user list in bug template

[noreply] [BEAM-14166] Push logic in RowWithGetters down into getters and use

[noreply] cleaned up TypeScript in coders.ts (#17689)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_35a42036-9aff-406f-b662-29960beec7d1 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 33s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/gurfrd6hrqvlk

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #743

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/743/display/redirect?page=changes>

Changes:

[thiagotnunes] BEAM-14419: Remove invalid mod type

[ihr] [BEAM-14006] Update Python katas to 2.38 and fix issue with one test

[Heejong Lee] [BEAM-14478] Fix missing 'projectId' attribute error

[relax] DLQ for BQ Storage Api writes

[noreply] Bump google.golang.org/api from 0.76.0 to 0.81.0 in /sdks

[noreply] [BEAM-14336] Re-enable `flight_delays_it_test` with

[noreply] [BEAM-11106] small nits to truncate sdf exec unit (#17755)

[noreply] Added standard logging when exception is thrown (#17717)

[noreply] [BEAM-13829] Enable worker status in Go

[noreply] [BEAM-14519] Add website page for Go dependencies (#17766)

[noreply] [BEAM-11106] Validate that DoFn returns Process continuation when

[noreply] [BEAM-14505] Add Dataflow streaming pipeline update support to the Go


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_1c4fc365-53d5-4277-b1ac-f1614651dc42 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 37s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/7lxf4va7z6dym

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #742

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/742/display/redirect?page=changes>

Changes:

[Robert Bradshaw] [BEAM-14426] Allow skipping of any output when writing an empty

[Robert Bradshaw] Add skip_if_empty attribute to base class to fix test.

[Jan Lukavský] [BEAM-14492] add flinkConfDir to FlinkPipelineOptions

[noreply] Bump cloud.google.com/go/storage from 1.22.0 to 1.22.1 in /sdks

[noreply] [BEAM-14139] Remove unused Flink 1.11 directory (#17750)

[noreply] [BEAM-14044] Allow ModelLoader to forward BatchElements args (#17527)

[noreply] [BEAM-14481] Remove unnecessary context (#17737)

[noreply] [BEAM-9324] Fix incompatibility of direct runner with cython (#17728)

[noreply] [BEAM-14503] Add support for Flink 1.15 (#17739)

[noreply] Update Beam website to release 2.39.0 (#17690)

[noreply] [BEAM-14509] Add several flags to dataflow runner (#17752)

[Yichi Zhang] Fix 2.38.0 download page.

[noreply] [BEAM-14494] Fix publish_docker_images.sh (#17756)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_7d5fe45e-1a20-4e22-8514-3b67a7cd396a failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/277k5dvl6n45s

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #741

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/741/display/redirect?page=changes>

Changes:

[Heejong Lee] [BEAM-14471] Adding testcases and examples for xlang Python

[Heejong Lee] update

[Heejong Lee] add DataframeTransform wrapper

[noreply] [BEAM-14298] resolve dependency

[noreply] Fix -- linting issue (#17738)

[noreply] Fix 'NoneType' object has no attribute error

[noreply] [BEAM-12308] change expected value in kakfa IT (#17740)

[noreply] [BEAM-14053] [CdapIO] Add wrapper class for CDAP plugin (#17150)

[noreply] [BEAM-14129] Clean up PubsubLiteIO by removing options that no longer

[noreply] [BEAM-14496] Ensure that precombine is inheriting one of the timestamps


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_478675b9-a1ea-4787-8cfe-c7879fa349f0 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 47s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/by77wlqkqlh3w

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #740

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/740/display/redirect?page=changes>

Changes:

[noreply] [BEAM-14494] Tag rc dockre container with format ${RELEASE}rc${RC_NUM}

[noreply] [BEAM-11578] Fix TypeError in dataflow_metrics has 0 distribution sum

[noreply] [BEAM-14499] Step global, unbounded side input case back to warning

[noreply] [BEAM-14484] Step back unexpected primary handling to warnings (#17724)

[noreply] [BEAM-14486] Document pubsubio & fix its behavior. (#17709)

[noreply] [BEAM-14489] Remove non-SDF version of TextIO. (#17712)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_6228ea65-fb40-467e-9bc7-65d8b248ed72 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 43s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/oxl6qkr2dsb5c

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #739

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/739/display/redirect?page=changes>

Changes:

[noreply] Add clarification on Filter transform's input function to pydoc.

[noreply] [BEAM-14367]Flaky timeout in


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_b8ccc0e8-aa33-41d5-b517-ab5c734d5119 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/bufwk76qzbuye

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_a823cde5-6621-48cc-a999-c02061ff1a4f failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

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Changes:

[yathu] Add labels for typescript PRs

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_2baf3247-4f54-40cc-ba79-bb30066bf557 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 40s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/srn6fnplkjong

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #736

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/736/display/redirect?page=changes>

Changes:

[chamikaramj] Corrects I/O connectors availability status in Beam Website.

[singh.vikash2310] fixed typos in README.md

[noreply] Update the PTransform and associated APIs to be less class-based.

[noreply] Vortex performance improvement: Enable multiple stream clients per

[noreply] [BEAM-14488] Alias async flags. (#17711)

[noreply] [BEAM-14487] Make drain & update terminal states. (#17710)

[noreply] [BEAM-14484] Improve behavior surrounding primary roots in

[noreply] Improve validation error message (#17719)

[noreply] Remove unused validation configurations. (#17705)

[bulat.safiullin] [BEAM-14418] added arrows to slider

[noreply] Minor: Bump Dataflow container versions (#17684)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_053c4c03-fb54-4531-8889-59701fec810c failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 42s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/oyk47bxhmhhec

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #735

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/735/display/redirect?page=changes>

Changes:

[bulat.safiullin] [BEAM-14428] change text, change styling of connectors and contribute

[noreply] [BEAM-14474] Suppress 'Mean of empty slice' Runtime Warning in dataframe

[noreply] [BEAM-10529] update KafkaIO Xlang integration test to publish and

[noreply] Fix a few small linting bugs (#17695)

[noreply] Bump github.com/lib/pq from 1.10.5 to 1.10.6 in /sdks (#17691)

[noreply] Update release-guide.md


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Successfully built crcmod dill google-apitools apache-beam docopt
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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518185637_b0c68b49-10b3-4508-b980-a90292c3e43e failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 35s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/vc5lffspqyxwo

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/734/display/redirect?page=changes>

Changes:

[Alexey Romanenko] [BEAM-14035] Fix checkstyle issue

[noreply] [BEAM-14441] Automatically assign issue labels based on responses to

[noreply] README update for the Docker Error 255 during Website launch on Apple

[noreply] [BEAM-12000] Update programming-guide.md (#17679)

[noreply] [BEAM-14467] Fix bug where run_pytest.sh does not elevate errors raised


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0518100349_ea8b8c2c-84be-40fd-8769-b3d408a24c29 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 36s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/6jzyevfffqg56

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #733

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/733/display/redirect?page=changes>

Changes:

[mmack] [BEAM-14334] Remove remaining forkEvery 1 from all Spark tests and stop

[noreply] [BEAM-13015] Update the SDK harness grouping table to be memory bounded

[noreply] [BEAM-13982] Added output of logging for python E2E pytests (#17637)

[noreply] [BEAM-14473] Throw error if using globally windowed, unbounded side

[noreply] [BEAM-14440] Add basic fuzz tests to the coders package (#17587)

[noreply] [BEAM-14035 ] Implement BigQuerySchema Read/Write TransformProvider

[noreply] Add Akvelon to case-studies (#17611)

[noreply] Merge pull request #17520 from BEAM-12356 Close DatasetService leaked

[noreply] Adding eslint and lint configuration to TypeScript SDK (#17676)

[noreply] Update release-guide.md

[noreply] Update release-guide.md

[noreply] [BEAM-14411] Re-enable TypecodersTest, fix most issues (#17547)

[noreply] Merge pull request #17678 from [BEAM-14460] [Playground] WIP. Fix error


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0517100413_6b42e439-a6ae-48db-94e7-8e21fa89f932 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 45s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/xtehphhkl7nsy

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0516100329_8733b08b-4262-4b96-9eb2-84742ba0a601 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 46s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/botscqdrmu3q4

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #731

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See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/731/display/redirect?page=changes>

Changes:

[noreply] [BEAM-14470] Use Generic Registrations in loadtests. (#17673)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0515100341_f111535e-a2da-43c3-b7e7-00579985884f failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 40s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/4yls5x6qypnse

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #730

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/730/display/redirect?page=changes>

Changes:

[Heejong Lee] [BEAM-14455] Add UUID to sub-schemas for PythonExternalTransform

[Heejong Lee] [BEAM-14430] Adding a logical type support for Python callables to Row

[Heejong Lee] add urn, type inference for PythonCallableSource

[Heejong Lee] fix lint errors

[Heejong Lee] move logical types def

[Heejong Lee] add micros_instant urn

[Heejong Lee] put a default type hint for PythonCallableSource

[Heejong Lee] add comment

[noreply] Revert "Better test assertion. (#17551)"

[noreply] Bump github.com/spf13/cobra from 1.3.0 to 1.4.0 in /sdks (#17647)

[noreply] [BEAM-14465] Reduce DefaultS3ClientBuilderFactory logging to debug level

[noreply] Merge pull request #17365 from [BEAM-12482] Update Schema Destination

[noreply] [BEAM-14014] Support impersonation credentials in dataflow runner

[noreply] [BEAM-14469] Allow nil primary returns from TrySplit in  a single-window

[noreply] Add some auto-starting runners to the typescript SDK. (#17580)

[noreply] [BEAM-14371] (and BEAM-14372) - enable a couple staticchecks (#17670)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0514100326_7e682ec6-665a-475c-b56c-9ae7b07438f5 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 40s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/mltbz4xha2jfa

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #729

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/729/display/redirect?page=changes>

Changes:

[dannymccormick] [BEAM-14441] Add GitHub issue templates

[dannymccormick] Ask for beam version + other dependencies

[dannymccormick] We don't need outage

[dannymccormick] Cut p4

[chamikaramj] Updates CHANGES.md to include some recently discovered known issues

[noreply] [BEAM-14334] Fix leakage of SparkContext in Spark runner tests to remove

[noreply] Typo & link update (#17633)

[dannymccormick] Pare down to fewer templates

[noreply] Trigger go precommits on go mod/sum changes (#17636)

[noreply] Revert "[BEAM-14429] Force java load test on dataflow runner v2

[noreply] [BEAM-14347] Add generic registration feature to CHANGES (#17643)

[noreply] Better test assertion. (#17551)

[noreply] Bump github.com/google/go-cmp from 0.5.7 to 0.5.8 in /sdks (#17628)

[noreply] Bump github.com/testcontainers/testcontainers-go in /sdks (#17627)

[noreply] Bump github.com/lib/pq from 1.10.4 to 1.10.5 in /sdks (#17626)

[noreply] Merge pull request #17584 from [BEAM-14415] Exception handling tests and

[noreply] Bump cloud.google.com/go/pubsub from 1.18.0 to 1.21.1 in /sdks (#17646)

[noreply] Merge pull request #17408 from [BEAM-14312] [Website] change section

[noreply] Bump cloud.google.com/go/bigquery from 1.28.0 to 1.32.0 in /sdks

[noreply] [BEAM-14347] Add function for simple function registration (#17650)

[noreply] Drop dataclasses requirement, we only support python 3.7+ (#17640)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0513100354_cb5ca7a5-3a50-45f7-9cdf-e9b4afbb3920 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 46s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/4bfhpvq56tr76

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #728

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/728/display/redirect?page=changes>

Changes:

[randomstep] [BEAM-14096] bump junit-quickcheck to 1.0

[noreply] [BEAM-5492] Python Dataflow integration tests should export the pipeline

[noreply] [BEAM-14396] Bump httplib2 upper bound. (#17602)

[noreply] [BEAM-11104] Add self-checkpointing to CHANGES.md (#17612)

[noreply] [BEAM-14081] [CdapIO] Add context classes for CDAP plugins (#17104)

[noreply] [BEAM-12526] Add Dependabot (#17563)

[noreply] Remove python 3.6 postcommit from mass_comment.py (#17630)

[noreply] [BEAM-14347] Add some benchmarks for generic registration (#17613)

[noreply] Correctly route go dependency changes to go label (#17632)

[noreply] [BEAM-13695] Add jamm jvm options to Java 11 (#17178)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0512100343_9deab6dc-faba-4825-9bb2-bf5feac5c64e failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 49s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/3v67jkyn47omg

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #727

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/727/display/redirect?page=changes>

Changes:

[Alexey Romanenko] [BEAM-12918] Add PostCommit_Java_Tpcds_Spark job

[johnjcasey] [BEAM-14448] add datastore test

[yathu] [BEAM-14423] Add test cases for BigtableIO.BigtableWriterFn fails due to

[Pablo Estrada] Revert "Merge pull request #17517 from [BEAM-14383] Improve "FailedRows"

[noreply] [BEAM-14229] Fix SyntheticUnboundedSource duplication from checkpoint

[noreply] [BEAM-14347] Rename registration package to register (#17603)

[noreply] [BEAM-11104] Add self-checkpointing integration test (#17590)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0511100329_4c6d5c90-4a4f-416d-9f42-2fc18596a5a5 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 38s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/dw74desjpvauo

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #726

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/726/display/redirect?page=changes>

Changes:

[andyye333] Add extra details to PubSub matcher errors

[noreply] Merge pull request #17559 from [BEAM-14423] Add exception injection

[noreply] [BEAM-11104] Allow self-checkpointing SDFs to return without finishing

[noreply] Merge pull request #17544 from [BEAM-14415] Exception handling tests for

[noreply] Merge pull request #17565 from [BEAM-14413] add Kafka exception test

[noreply] Merge pull request #17555 from [BEAM-14417] Adding exception handling

[noreply] [BEAM-14433] Improve Go split error message. (#17575)

[noreply] [BEAM-14429] Force java load test on dataflow runner v2

[noreply] Merge pull request #17577 from [BEAM-14435] Adding exception handling

[noreply] [BEAM-14347] Add generic registration functions for iters and emitters

[noreply] [BEAM-14169] Add Credentials rotation cron job for clusters (#17383)

[noreply] [BEAM-14347] Add generic registration for accumulators (#17579)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0510100353_a5e3e7b7-5d58-421a-a85f-580d3dca452f failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 43s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/gs2ppymvt5h32

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #725

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/725/display/redirect?page=changes>

Changes:

[elias.segundo] Changing elegibility to AllNodeElegibility

[chamikaramj] Adds code reviewers for GCP I/O connectors and KafkaIO to Beam OWNERS


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0509100330_645865e6-824a-434c-96f5-40ed4b05497f failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 41s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/rg4vx4gnbj5uw

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0508100338_3e2a4ad4-45f2-4997-9435-27e85418b001 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/lwkmqux6d3mjm

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #723

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/723/display/redirect?page=changes>

Changes:

[kevinsijo] Setting up a basic directory

[kevinsijo] Mirroring Python SDK's directory structure

[kerrydc] Adds initial tests

[kevinsijo] 'runners' is the correct directory name

[Pablo Estrada] sketching the core API for JS SDK

[jonathanlui] add .gitignore for node/ts project

[Robert Bradshaw] Worker directory.

[Robert Bradshaw] Fix complile errors with explicit any for callables.

[Robert Bradshaw] Add worker entry point.

[Robert Bradshaw] Add proto generation code.

[Robert Bradshaw] Add generated proto files.

[Robert Bradshaw] Attempts to get ts protos to compile.

[Robert Bradshaw] Exclude ts protos for now.

[Robert Bradshaw] More changes to get ts protos working.

[Robert Bradshaw] Update scripts and config to get protos compiling.

[Robert Bradshaw] Update geenrated files.

[jonathanlui] add build and clean script to compile ts

[Robert Bradshaw] Generate server for loopback worker.

[Robert Bradshaw] Generated grpc servers for loopback.

[Robert Bradshaw] Add typescript formatter.

[Robert Bradshaw] Loopback server (that does nothing).

[Robert Bradshaw] Working server.

[Pablo Estrada] Starting expansion of primitive transforms

[Pablo Estrada] Starting to implement and support standard coders

[Robert Bradshaw] Also generate grpc clients.

[Robert Bradshaw] Basic implementation of worker harness.

[Pablo Estrada] fix the build

[Robert Bradshaw] Add some missing files for worker harness.

[Robert Bradshaw] Refactor operators to use registration.

[jonathanlui] enable ts in mocha

[jonathanlui] update readme

[jonathanlui] --save-dev @types/mocha

[jonathanlui] translate core_test.js to typescript

[Robert Bradshaw] Encapsulate worker service in a class.

[Kenneth Knowles] Port standard_coders_test to typescript (superficially)

[Pablo Estrada] Starting the proto translation of Impulse, ParDo, GBK

[Robert Bradshaw] Add some tests for the worker code.

[Robert Bradshaw] Fixing old lock file error.

[Pablo Estrada] Adding transform names and fixing GBK coder issue

[Robert Bradshaw] npx tsfmt -r src/apache_beam/base.ts src/apache_beam/transforms/core.ts

[Kenneth Knowles] switch to import style require() statements

[Kenneth Knowles] Add Coder interface using protobufjs classes

[Kenneth Knowles] BytesCoder with some failures

[noreply] Added GeneralObjectCoder and using it as coder for most transforms (#9)

[Kenneth Knowles] Fix order of arguments to deepEqual

[Kenneth Knowles] Encode expected encoding as binary

[Robert Bradshaw] Refactor API to allow for composites.

[jrmccluskey] Initial setup for automated Java expansion startup

[jrmccluskey] Update exp_service.ts

[Kenneth Knowles] Fix up coder deserialization

[Robert Bradshaw] Simplify GBK coder computation.

[Robert Bradshaw] Remove top-level PValue.

[Pablo Estrada] Make tests green

[Robert Bradshaw] Rename PValueish to PValue.

[jonathanlui] node runner

[jonathanlui] whitespaces

[Robert Bradshaw] Make Runner.run async.

[jonathanlui] bson and fast-deep-equal should not be listed as devdependency

[jrmccluskey] Add basic Dockerfile that starts ExternalWorkerPool

[Robert Bradshaw] Direct runner.

[kevinsijo] Testing expansion service communication

[Robert Bradshaw] Added flatten, assertion checkers.

[Pablo Estrada] progress on basic coders

[Robert Bradshaw] Fixing the build.

[Robert Bradshaw] Cleanup, simplify access.

[Pablo Estrada] Adding limited support for KVCoder and IterableCoder

[Robert Bradshaw] Introduce PipelineContext.

[Robert Bradshaw] Add toProto to all coders.

[Robert Bradshaw] Some work with coders.

[Robert Bradshaw] Remove debug logging.

[Robert Bradshaw] Use coders over data channel.

[Kenneth Knowles] explicitly sequence sub-coder serializations

[Kenneth Knowles] no more need to extend FakeCoder

[Kenneth Knowles] actually advance reader

[Kenneth Knowles] autoformat

[Kenneth Knowles] protobufjs already can write and read signed varints

[Kenneth Knowles] with improved test harness, kv has many more failures

[Kenneth Knowles] read bytescoder from correct position

[Kenneth Knowles] no more fake coders

[Kenneth Knowles] varint examples all work

[Kenneth Knowles] simplify coder value parsing

[Kenneth Knowles] global window coder

[Kenneth Knowles] fix swapEndian32

[Robert Bradshaw] Add P(...) operator.

[kevinsijo] Implementing RowCoder encoding.

[jrmccluskey] remove unused container dir

[kevinsijo] Corrected sorting of encoded positions to reflect an argsort instead.

[Robert Bradshaw] Populate environments.

[kevinsijo] Implementing RowCoder decoding.

[Kenneth Knowles] preliminary unbounded iterable coder

[Kenneth Knowles] friendlier description of standard coder test case

[Kenneth Knowles] fix test harness; iterable works

[jrmccluskey] first pass at boot.go

[jonathanlui] update package-lock.json

[jonathanlui] make NodeRunner a subclass of Runner

[jonathanlui] add waitUntilFinish interface member

[Pablo Estrada] Adding double coder

[Kenneth Knowles] scaffolding for windowed values

[Pablo Estrada] Adding type information to PColleciton and PTransform

[jonathanlui] fix direct runner

[Pablo Estrada] Adding typing information for DoFns

[Kenneth Knowles] add interval window

[Robert Bradshaw] Export PValue.

[Robert Bradshaw] Add CombineFn interface.

[Robert Bradshaw] Typed flatten.

[jonathanlui] add runAsync method to base.Runner

[Kenneth Knowles] add Long package

[Pablo Estrada] Adding more types. Making PValue typed

[Kenneth Knowles] instant coder draft

[Robert Bradshaw] Return job state from direct runner.

[Kenneth Knowles] type instant = long

[jonathanlui] implement NodeRunner.runPipeline

[Kenneth Knowles] autoformat

[kevinsijo] Completed implementation of basic row coder

[Kenneth Knowles] Fix IntervalWindowCoder, almost

[Kenneth Knowles] fix interval window coder

[Kenneth Knowles] autoformat

[Robert Bradshaw] loopback runner works

[Kenneth Knowles] move core element types into values.ts

[Kenneth Knowles] just build object directly to be cool

[Robert Bradshaw] GBK working on ULR.

[Robert Bradshaw] Async transforms.

[Robert Bradshaw] External transform grpah splicing.

[Kenneth Knowles] progress on windowed value: paneinfo encoding

[Robert Bradshaw] Fix merge.

[Robert Bradshaw] autoformat

[Kenneth Knowles] full windowed value coder

[kerrydc] Updates tests to use correct types, adds generics where needed to DoFns

[Robert Bradshaw] Add serialization librarires.'

[Robert Bradshaw] Add Split() PTransform, for producing multiple outputs from a single

[Robert Bradshaw] Schema-encoded external payloads.

[kevinsijo] Adding Schema inference from JSON

[Pablo Estrada] Removing unused directories

[Pablo Estrada] Support for finishBundle and improving typing annotations.

[Pablo Estrada] A base implementation of combiners with GBK/ParDo

[Robert Bradshaw] Fully propagate windowing information in both remote and direct runner.

[Robert Bradshaw] Make args and kwargs optional for python external transform.

[Robert Bradshaw] Infer schema for external transforms.

[Pablo Estrada] Implementing a custom combine fn as an example. Small fixes

[Robert Bradshaw] Fix missing windowing information in combiners.

[Robert Bradshaw] PostShuffle needn't group by key as that's already done.

[Robert Bradshaw] Guard pre-combine for global window only.

[Robert Bradshaw] WindowInto

[Robert Bradshaw] Fix optional kwargs.

[Robert Bradshaw] A couple of tweaks for js + py

[Robert Bradshaw] Add windowing file.

[Robert Bradshaw] CombineBy transform, stand-alone WordCount.

[Robert Bradshaw] cleanup

[Robert Bradshaw] Actually fix optional external kwargs.

[Robert Bradshaw] Demo2, textio read.

[Robert Bradshaw] Add command lines for starting up the servers.

[Robert Bradshaw] Run prettier on the full codebase.

[Robert Bradshaw] Update deps.

[Pablo Estrada] Adding docstrings for core.ts. Prettier dependency

[Pablo Estrada] Documenting coder interfaces

[Pablo Estrada] Added documentation for a few standard coders

[Robert Bradshaw] Unified grouping and combining.

[Robert Bradshaw] Allow PCollection ids to be lazy.

[Robert Bradshaw] Reorganize module structure.

[Robert Bradshaw] A couple more renames.

[Robert Bradshaw] Simplify.

[Robert Bradshaw] Consolidation.

[Robert Bradshaw] Fix build.

[Robert Bradshaw] Add optional context to ParDo.

[Robert Bradshaw] fixup: iterable coder endian sign issue

[Robert Bradshaw] omit context for map(console.log)

[Robert Bradshaw] Fix ReadFromText coders.

[Robert Bradshaw] Flesh out README with overview and current state.

[noreply] Readme typo

[Robert Bradshaw] Two more TODOs.

[noreply] Add a pointer to the example wordcount to the readme.

[Pablo Estrada] Documenting coders and implementing unknown-length method

[Robert Bradshaw] UIID dependency.

[Robert Bradshaw] Artifact handling.

[Robert Bradshaw] Properly wait on data channel for bundle completion.

[Robert Bradshaw] Automatic java expansion service startup.

[Robert Bradshaw] Process promises.

[Robert Bradshaw] Implement side inputs.

[Robert Bradshaw] Cleanup.

[Robert Bradshaw] Put complex constext stuff in its own file.

[Robert Bradshaw] Rename BoundedWindow to just Window.

[Robert Bradshaw] Alternative splitter class.

[Pablo Estrada] Documenting internal functions

[Robert Bradshaw] Take a pass clarifying the TODOs.

[Robert Bradshaw] Sql transform wrapper.

[Robert Bradshaw] Incorporate some feedback into the TODOs.

[Robert Bradshaw] More TODOs.

[Robert Bradshaw] Remove app placeholder.

[Robert Bradshaw] Apache license headers.

[Robert Bradshaw] More TODOs

[jankuehle] Suggestions for TypeScript todos

[dannymccormick] Add actions for typescript sdk

[dannymccormick] Fix test command

[noreply] Add missing version

[dannymccormick] Fix codecovTest command

[noreply] Only do prettier check on linux

[noreply] Only get codecov on linux

[Robert Bradshaw] Resolve some comments.

[Robert Bradshaw] Fix compile errors.

[Robert Bradshaw] Prettier.

[Robert Bradshaw] Re-order expandInternal arguments pending unification.

[Robert Bradshaw] More consistent and stricter PTransform naming.

[Robert Bradshaw] Notes on explicit, if less idiomatic, use of classes.

[Robert Bradshaw] Let DoFn be an interface rather than a class.

[Robert Bradshaw] Provide DoFn context to start and finish bundle.

[Robert Bradshaw] Optional promise code simplification.

[Robert Bradshaw] Cleanup todos.

[Robert Bradshaw] Avoid any type where not needed.

[Robert Bradshaw] Apache RAT excludes for typescript.

[Robert Bradshaw] Remove empty READMEs.

[Robert Bradshaw] Add licences statement to readme files.

[Robert Bradshaw] More RAT fixes.

[Robert Bradshaw] Another unsupported coder.

[Robert Bradshaw] Remove debugging code.

[noreply] Fix automatic naming with code coverage.

[Robert Bradshaw] Coders cleanup.

[Robert Bradshaw] Add tests for RowCoder.

[Robert Bradshaw] Normalize capitalization, comments.

[Robert Bradshaw] Install typescript closure packages.

[Robert Bradshaw] npm audit fix

[Robert Bradshaw] Move more imports out of base.

[Robert Bradshaw] Changes needed to compile with ts closure plugin.

[Robert Bradshaw] Use ttsc and ts-closure-transform plugin.

[Robert Bradshaw] Serialization registration to actually get serialization working.

[Robert Bradshaw] Container images working on local runner.

[Robert Bradshaw] Add a portable job server that proxies the Dataflow backend. (#17189)

[Robert Bradshaw] Improvements to dataflow job service for non-Python jobs.

[Robert Bradshaw] Get dataflow working.

[Robert Bradshaw] User friendly pipeline options.

[Robert Bradshaw] Less classes, more functions.

[Robert Bradshaw] Add new nullable standard coder.

[Robert Bradshaw] Make Apache Rat happy.

[Robert Bradshaw] Disable broken codecov.

[Robert Bradshaw] Remove last uses of base.ts.

[Robert Bradshaw] Remove unneedd file.

[Robert Bradshaw] Remove more uneeded/unused files.

[Robert Bradshaw] Cleanup tests.

[Robert Bradshaw] Minor cleanups to coder tests.

[noreply] Quote pip install package name

[noreply] [BEAM-14374] Fix module import error in FullyQualifiedNamedTransform

[Robert Bradshaw] Addressing issues from the review.

[noreply] Apply suggestions from code review.

[Robert Bradshaw] Post-merge fixes.

[dannymccormick] Delete tags.go

[Robert Bradshaw] Update tests to use our actual serialization libraries.

[Robert Bradshaw] Another pass at TODOs, removing finished items.

[Heejong Lee] [BEAM-14146] Python Streaming job failing to drain with BigQueryIO write

[Kenneth Knowles] Add parameter for service account impersonation in GCP credentials

[Heejong Lee] add test

[noreply] Merge pull request #17490 from [BEAM-14370] [Website] Add new page about

[noreply] [BEAM-14332] Refactored cluster management for Flink on Dataproc

[noreply] [BEAM-13988] Update mtime to use time.UnixMilli() calls (#17578)

[noreply] Fixing patching error on missing dependencies (#17564)

[noreply] Merge pull request #17517 from [BEAM-14383] Improve "FailedRows" errors

[Heejong Lee] add test without mock


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Successfully installed apache-beam-2.40.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.0 azure-storage-blob-12.11.0 boto3-1.22.9 botocore-1.25.9 cachetools-4.2.4 certifi-2021.10.8 cffi-1.15.0 charset-normalizer-2.0.12 cloudpickle-2.0.0 crcmod-1.7 cryptography-37.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.4.11 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.5 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.3 google-cloud-bigquery-storage-2.13.1 google-cloud-bigtable-1.7.1 google-cloud-core-1.7.2 google-cloud-datastore-1.15.4 google-cloud-dlp-3.6.2 google-cloud-language-1.3.1 google-cloud-pubsub-2.12.0 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.2 google-cloud-videointelligence-1.16.2 google-cloud-vision-1.0.1 google-crc32c-1.3.0 google-resumable-media-2.3.2 googleapis-common-protos-1.56.0 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.46.0 hdfs-2.7.0 httplib2-0.19.1 idna-3.3 isodate-0.6.1 jmespath-1.0.0 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.6.21 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.6.8 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.3 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pyparsing-2.4.7 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.5.2 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.36 tenacity-5.1.5 testcontainers-3.5.3 threadpoolctl-3.1.0 typing-extensions-4.2.0 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.2 wrapt-1.14.1

> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0507100338_e7bd41b7-4d01-4aa4-977b-a3161c2d056d failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 4s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/osfbzyug7nzp6

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #722

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/722/display/redirect?page=changes>

Changes:

[zyichi] Move master readme.md to 2.40.0

[noreply] [BEAM-14173] Fix Go Loadtests on Dataflow & partial fix for Flink

[noreply] Upgrade python sdk container requirements. (#17549)

[noreply] Merge pull request #17497: [BEAM-11205] Update GCP Libraries BOM version

[noreply] [BEAM-12603] Add retry on grpc data channel and remove retry from test.

[noreply] Merge pull request #17359: [BEAM-14303] Add a way to exclude output

[noreply] [BEAM-14347] Allow users to optimize DoFn execution with a single

[noreply] [BEAM-5878] Add (failing) kwonly-argument test (#17509)


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0506100333_0e17e65a-845c-4c86-b2ec-05f10671ac29 failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2m 44s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/5nv726bksz4ay

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #721

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/721/display/redirect?page=changes>

Changes:

[Heejong Lee] [BEAM-9245] Unable to pull datatore Entity which contains dict

[bulat.safiullin] [BEAM-14382] [Website] add banner container for with css, images, html

[Jan Lukavský] [BEAM-14196] add test verifying output watermark propagation in bundle

[Jan Lukavský] [BEAM-14196] Fix FlinkRunner mid-bundle output watermark handling

[nielm] [BEAM-14405] Fix NPE when ProjectID is not specified in a template

[bulat.safiullin] [BEAM-14382] change mobile banner img, add padding to banner section

[ahmedabualsaud] fix test decotrator typo

[noreply] Merge pull request #17440 from [BEAM-14329] Enable exponential backoff

[noreply] [BEAM-11104] Fix output forwarding issue for ProcessContinuations

[noreply] re-add testing package to pydoc (#17524)

[Heejong Lee] add test

[noreply] [BEAM-14250] Amended the workaround (#17531)

[noreply] [BEAM-11104] Fix broken split result validation (#17546)

[noreply] Fixed a SQL and screenshots in the Beam SQL blog (#17545)

[noreply] Merge pull request #17417: [BEAM-14388] Address some performance

[noreply] [BEAM-14386] [Flink] Support for scala 2.12 (#17512)

[noreply] [BEAM-14294] Worker changes to support trivial Batched DoFns (#17384)

[zyichi] Moving to 2.40.0-SNAPSHOT on master branch.

[noreply] [BEAM-14048] [CdapIO] Add ConfigWrapper for building CDAP PluginConfigs


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> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform <ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be deterministic. This may cause incorrect behavior for complex key types. Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py",> line 167, in <module>
    ParDoTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py",> line 606, in wait_until_finish
    raise self._runtime_exception
RuntimeError: Pipeline load-tests-python-flink-streaming-pardo-1-0505100334_f3cb3171-2e13-4615-9764-afa9a06bab6e failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize class org.apache.beam.runners.core.construction.SerializablePipelineOptions

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.

See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1m 33s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/g4j6sls4dj7nm

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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