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Build failed in Jenkins: beam_LoadTests_Python_ParDo_Flink_Streaming #1175

See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/1175/display/redirect>

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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=200', '--number_of_counter_operations=0', '--number_of_counters=0', '--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
Exception in thread wait_until_finish_read:
Traceback (most recent call last):
  File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
    self.run()
  File "/usr/lib/python3.8/threading.py", line 870, in run
Traceback (most recent call last):
  File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/lib/python3.8/runpy.py", line 87, in _run_code
    self._target(*self._args, **self._kwargs)
  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 579, in read_messages
    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>
    for message in self._message_stream:
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages/grpc/_channel.py",> line 541, in __next__
    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 152, in run
    state = 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 614, in wait_until_finish
    raise self._runtime_exception
  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 620, in _observe_state
    return self._next()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages/grpc/_channel.py",> line 967, in _next
    for state_response in self._state_stream:
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages/grpc/_channel.py",> line 541, in __next__
    return self._next()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages/grpc/_channel.py",> line 967, in _next
    raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
	status = StatusCode.UNAVAILABLE
	details = "Socket closed"
	debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:8099 {created_time:"2023-08-05T18:11:47.966351131+00:00", grpc_status:14, grpc_message:"Socket closed"}"
>
    raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
	status = StatusCode.UNAVAILABLE
	details = "Socket closed"
	debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:8099 {created_time:"2023-08-05T18:11:47.966379504+00:00", grpc_status:14, grpc_message:"Socket closed"}"
>

> 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: 63

* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 49m 23s
15 actionable tasks: 5 executed, 10 up-to-date

Publishing build scan...
https://ge.apache.org/s/faflzvlmz6dcy

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/1178/display/redirect>

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Building wheels for collected packages: hdfs, apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest" for Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=200', '--number_of_counter_operations=0', '--number_of_counters=0', '--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
Exception in thread wait_until_finish_read:
Traceback (most recent call last):
  File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
Traceback (most recent call last):
  File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    self.run()
  File "/usr/lib/python3.8/threading.py", line 870, in run
    return _run_code(code, main_globals, None,
  File "/usr/lib/python3.8/runpy.py", line 87, 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>
    self._target(*self._args, **self._kwargs)
  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 579, in read_messages
    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 152, in run
    state = 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 614, in wait_until_finish
    for message in self._message_stream:
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages/grpc/_channel.py",> line 541, in __next__
    raise self._runtime_exception
  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 620, in _observe_state
    return self._next()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages/grpc/_channel.py",> line 967, in _next
    for state_response in self._state_stream:
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages/grpc/_channel.py",> line 541, in __next__
    raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
	status = StatusCode.UNAVAILABLE
	details = "Socket closed"
	debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:8099 {created_time:"2023-08-08T19:23:49.657293168+00:00", grpc_status:14, grpc_message:"Socket closed"}"
>
    return self._next()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages/grpc/_channel.py",> line 967, in _next
    raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
	status = StatusCode.UNAVAILABLE
	details = "Socket closed"
	debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:8099 {grpc_message:"Socket closed", grpc_status:14, created_time:"2023-08-08T19:23:49.657632574+00:00"}"
>

> 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: 63

* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2h 1m 37s
15 actionable tasks: 5 executed, 10 up-to-date

Publishing build scan...
https://ge.apache.org/s/esb77grxxhmr2

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 #1177

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/1177/display/redirect>

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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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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:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest" for Docker environment
Traceback (most recent call last):
  File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/lib/python3.8/runpy.py", line 87, 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 150, in run
    self.result = self.pipeline.run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/test_pipeline.py",> line 112, in run
    result = super().run(
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/pipeline.py",> line 550, in run
    return Pipeline.from_runner_api(
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/pipeline.py",> line 577, in run
    return self.runner.run_pipeline(self, self._options)
  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 446, in run_pipeline
    job_service_handle = self.create_job_service(options)
  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 320, in create_job_service
    return self.create_job_service_handle(server.start(), options)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/job_server.py",> line 54, in start
    grpc.channel_ready_future(channel).result(timeout=self._timeout)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages/grpc/_utilities.py",> line 162, in result
    self._block(timeout)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages/grpc/_utilities.py",> line 106, in _block
    raise grpc.FutureTimeoutError()
grpc.FutureTimeoutError

> 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: 63

* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 3m 32s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://ge.apache.org/s/4thnlexvf47gi

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 #1176

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/1176/display/redirect>

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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:Using provided Python SDK container image: gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest
INFO:root:Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest" for Docker environment
Traceback (most recent call last):
  File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/lib/python3.8/runpy.py", line 87, 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 150, in run
    self.result = self.pipeline.run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/test_pipeline.py",> line 112, in run
    result = super().run(
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/pipeline.py",> line 550, in run
    return Pipeline.from_runner_api(
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/pipeline.py",> line 577, in run
    return self.runner.run_pipeline(self, self._options)
  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 446, in run_pipeline
    job_service_handle = self.create_job_service(options)
  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 320, in create_job_service
    return self.create_job_service_handle(server.start(), options)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/job_server.py",> line 54, in start
    grpc.channel_ready_future(channel).result(timeout=self._timeout)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages/grpc/_utilities.py",> line 162, in result
    self._block(timeout)
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.8/site-packages/grpc/_utilities.py",> line 106, in _block
    raise grpc.FutureTimeoutError()
grpc.FutureTimeoutError

> 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: 63

* 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/7.6.2/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://ge.apache.org/s/qebjye6osvo4y

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

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