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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #885

See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/885/display/redirect?page=changes>

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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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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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-2.43.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.0 boto3-1.24.92 botocore-1.27.92 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-1-1018100309_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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