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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2023/10/26 20:01:35 UTC

Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1159

See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1159/display/redirect>

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Building wheels for collected packages: apache-beam
  Building wheel for apache-beam (pyproject.toml): started
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyjsparser, docopt, crcmod, zstandard, zipp, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, rpds-py, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, psycopg2-binary, protobuf, portalocker, pkgutil-resolve-name, parameterized, overrides, orjson, objsize, numpy, mock, joblib, jmespath, iniconfig, idna, grpcio, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, backports.zoneinfo, attrs, tzlocal, sqlalchemy, shapely, scipy, rsa, requests, referencing, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, pyarrow, proto-plus, isodate, importlib-resources, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, scikit-learn, requests-mock, pytest-xdist, pytest-timeout, pandas, oauth2client, jsonschema-specifications, js2py, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, jsonschema, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, msal, google-cloud-core, boto3, apache-beam, 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:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023" for Docker environment
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1026125309.1698333140.702410/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1026125309.1698333140.702410/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1026125309.1698333140.702410/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1026125309.1698333140.702410/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231026151220703408-1086'
 createTime: '2023-10-26T15:12:21.677756Z'
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 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-26_08_12_21-14643067112410974340]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-26_08_12_21-14643067112410974340
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-26_08_12_21-14643067112410974340?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-26_08_12_21-14643067112410974340 is in state JOB_STATE_PENDING
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-26T15:12:45.008Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-26T15:12:45.283Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-26_08_12_21-14643067112410974340 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-26T15:13:11.058Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-26T15:14:16.303Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-26_08_12_21-14643067112410974340 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-26T20:00:43.621Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-26_08_12_21-14643067112410974340.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-26T20:00:43.707Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-26T20:00:43.753Z: JOB_MESSAGE_BASIC: Stopping **** pool...
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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
    CombineTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 763, in wait_until_finish
    assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-10-26_08_12_21-14643067112410974340?project=<ProjectId>

> 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_Combine_Dataflow_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 9.0.

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

For more on this, please refer to https://docs.gradle.org/8.4/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 55m 5s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/7d43jpbcucu2a

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_Combine_Dataflow_Streaming #1165

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1165/display/redirect>

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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyjsparser, docopt, crcmod, zstandard, zipp, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, rpds-py, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, psycopg2-binary, protobuf, portalocker, pkgutil-resolve-name, parameterized, overrides, orjson, objsize, numpy, mock, joblib, jmespath, iniconfig, idna, grpcio, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, backports.zoneinfo, attrs, tzlocal, sqlalchemy, shapely, scipy, rsa, requests, referencing, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, pyarrow, proto-plus, isodate, importlib-resources, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, scikit-learn, requests-mock, pytest-xdist, pytest-timeout, pandas, oauth2client, jsonschema-specifications, js2py, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, jsonschema, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, msal, google-cloud-core, boto3, apache-beam, 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
Successfully installed PyJWT-2.8.0 apache-beam-2.52.0.dev0 attrs-23.1.0 azure-core-1.29.5 azure-identity-1.15.0 azure-storage-blob-12.19.0b1 backports.zoneinfo-0.2.1 boto3-1.28.75 botocore-1.31.75 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.2 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.5 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.9.0 fasteners-0.19 freezegun-1.2.2 google-api-core-2.12.0 google-apitools-0.5.31 google-auth-2.23.4 google-auth-httplib2-0.1.1 google-cloud-aiplatform-1.36.0 google-cloud-bigquery-3.13.0 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.18.0 google-cloud-dlp-3.12.3 google-cloud-language-2.11.1 google-cloud-pubsub-2.18.4 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.5 google-cloud-resource-manager-1.10.4 google-cloud-spanner-3.40.1 google-cloud-storage-2.13.0 google-cloud-videointelligence-2.11.4 google-cloud-vision-3.4.5 google-crc32c-1.5.0 google-resumable-media-2.6.0 googleapis-common-protos-1.61.0 greenlet-3.0.1 grpc-google-iam-v1-0.12.6 grpcio-1.59.2 grpcio-status-1.59.2 hdfs-2.7.3 httplib2-0.22.0 hypothesis-6.88.1 idna-3.4 importlib-resources-6.1.0 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 js2py-0.74 jsonschema-4.19.2 jsonschema-specifications-2023.7.1 mock-5.1.0 msal-1.24.1 msal-extensions-1.0.0 numpy-1.24.4 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.10 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 pkgutil-resolve-name-1.3.10 portalocker-2.8.2 proto-plus-1.23.0rc1 protobuf-4.24.4 psycopg2-binary-2.9.9 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.1.0 pyjsparser-2.7.1 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.3 pytest-timeout-2.2.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 referencing-0.30.2 regex-2023.10.3 requests-2.31.0 requests-mock-1.11.0 rpds-py-0.10.6 rsa-4.9 s3transfer-0.7.0 scikit-learn-1.3.2 scipy-1.10.1 shapely-2.0.2 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.50 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.8.0 tzlocal-5.2 urllib3-1.26.18 websocket-client-1.6.4 wrapt-1.16.0rc1 zipp-3.17.0 zstandard-0.22.0

> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023" for Docker environment
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1101125317.1698851520.483395/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1101125317.1698851520.483395/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1101125317.1698851520.483395/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1101125317.1698851520.483395/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231101151200484367-7363'
 createTime: '2023-11-01T15:12:01.403698Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-11-01_08_12_00-387263050461050031'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1101125317'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-11-01T15:12:01.403698Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-11-01_08_12_00-387263050461050031]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-11-01_08_12_00-387263050461050031
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-11-01_08_12_00-387263050461050031?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-11-01_08_12_00-387263050461050031 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-11-01T15:12:08.476Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-11-01T15:12:11.225Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-11-01T15:12:11.706Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-11-01_08_12_00-387263050461050031 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-11-01T15:12:45.482Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-11-01T15:14:29.220Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-11-01T15:14:47.624Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-11-01T15:16:12.229Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-11-01T16:48:21.873Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-11-01T16:48:33.951Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-11-01T17:23:59.650Z: JOB_MESSAGE_ERROR: generic::aborted: SDK harness sdk-0-0_sibling_1 disconnected. This usually means that the process running the pipeline code has crashed. Inspect the Worker Logs and the Diagnostics tab to determine the cause of the crash.
with MessageCode:
(e6fdfe4d93725ff0): SDK disconnect.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_control_service.cc:215
generic::aborted: SDK harness sdk-0-0 disconnected. This usually means that the process running the pipeline code has crashed. Inspect the Worker Logs and the Diagnostics tab to determine the cause of the crash.
with MessageCode:
(9e3ba783e6aedf54): SDK disconnect.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_control_service.cc:215
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-11-01_08_12_00-387263050461050031 is in state JOB_STATE_CANCELLING
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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
    CombineTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 763, in wait_until_finish
    assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-11-01_08_12_00-387263050461050031?project=<ProjectId>

> 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_Combine_Dataflow_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 9.0.

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

For more on this, please refer to https://docs.gradle.org/8.4/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 59m 20s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/jpljuowbr3666

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_Combine_Dataflow_Streaming #1164

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1164/display/redirect>

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Building wheels for collected packages: apache-beam
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  Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyjsparser, docopt, crcmod, zstandard, zipp, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, rpds-py, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, psycopg2-binary, protobuf, portalocker, pkgutil-resolve-name, parameterized, overrides, orjson, objsize, numpy, mock, joblib, jmespath, iniconfig, idna, grpcio, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, backports.zoneinfo, attrs, tzlocal, sqlalchemy, shapely, scipy, rsa, requests, referencing, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, pyarrow, proto-plus, isodate, importlib-resources, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, scikit-learn, requests-mock, pytest-xdist, pytest-timeout, pandas, oauth2client, jsonschema-specifications, js2py, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, jsonschema, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, msal, google-cloud-core, boto3, apache-beam, 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
Successfully installed PyJWT-2.8.0 apache-beam-2.52.0.dev0 attrs-23.1.0 azure-core-1.29.5 azure-identity-1.15.0 azure-storage-blob-12.19.0b1 backports.zoneinfo-0.2.1 boto3-1.28.74 botocore-1.31.74 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.1 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.5 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.9.0 fasteners-0.19 freezegun-1.2.2 google-api-core-2.12.0 google-apitools-0.5.31 google-auth-2.23.3 google-auth-httplib2-0.1.1 google-cloud-aiplatform-1.35.0 google-cloud-bigquery-3.13.0 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.18.0 google-cloud-dlp-3.12.3 google-cloud-language-2.11.1 google-cloud-pubsub-2.18.4 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.5 google-cloud-resource-manager-1.10.4 google-cloud-spanner-3.40.1 google-cloud-storage-2.12.0 google-cloud-videointelligence-2.11.4 google-cloud-vision-3.4.5 google-crc32c-1.5.0 google-resumable-media-2.6.0 googleapis-common-protos-1.61.0 greenlet-3.0.1 grpc-google-iam-v1-0.12.6 grpcio-1.59.2 grpcio-status-1.59.2 hdfs-2.7.3 httplib2-0.22.0 hypothesis-6.88.1 idna-3.4 importlib-resources-6.1.0 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 js2py-0.74 jsonschema-4.19.2 jsonschema-specifications-2023.7.1 mock-5.1.0 msal-1.24.1 msal-extensions-1.0.0 numpy-1.24.4 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.10 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 pkgutil-resolve-name-1.3.10 portalocker-2.8.2 proto-plus-1.23.0rc1 protobuf-4.24.4 psycopg2-binary-2.9.9 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.1.0 pyjsparser-2.7.1 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.3 pytest-timeout-2.2.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 referencing-0.30.2 regex-2023.10.3 requests-2.31.0 requests-mock-1.11.0 rpds-py-0.10.6 rsa-4.9 s3transfer-0.7.0 scikit-learn-1.3.2 scipy-1.10.1 shapely-2.0.2 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.50 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.8.0 tzlocal-5.2 urllib3-1.26.18 websocket-client-1.6.4 wrapt-1.16.0rc1 zipp-3.17.0 zstandard-0.21.0

> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023" for Docker environment
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1031125313.1698765132.383356/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1031125313.1698765132.383356/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1031125313.1698765132.383356/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1031125313.1698765132.383356/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231031151212384376-4947'
 createTime: '2023-10-31T15:12:13.384483Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-31_08_12_12-8396828785936655355'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1031125313'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-31T15:12:13.384483Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-31_08_12_12-8396828785936655355]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-31_08_12_12-8396828785936655355
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-31_08_12_12-8396828785936655355?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-31_08_12_12-8396828785936655355 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-31T15:12:25.045Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-31T15:12:27.487Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-31T15:12:27.766Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-31_08_12_12-8396828785936655355 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-31T15:12:56.420Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-31T15:14:00.463Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-31T18:44:43.823Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-31T18:44:45.013Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-31_08_12_12-8396828785936655355 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-31T20:00:58.470Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-31_08_12_12-8396828785936655355.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-31T20:00:58.584Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-31T20:00:58.637Z: JOB_MESSAGE_BASIC: Stopping **** pool...
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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
    CombineTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 763, in wait_until_finish
    assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-10-31_08_12_12-8396828785936655355?project=<ProjectId>

> 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_Combine_Dataflow_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 9.0.

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

For more on this, please refer to https://docs.gradle.org/8.4/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 55m 10s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/ku7uphmzk6o3o

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_Combine_Dataflow_Streaming #1163

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1163/display/redirect?page=changes>

Changes:

[noreply] minor prism fixes (#29183)


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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyjsparser, docopt, crcmod, zstandard, zipp, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, rpds-py, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, psycopg2-binary, protobuf, portalocker, pkgutil-resolve-name, parameterized, overrides, orjson, objsize, numpy, mock, joblib, jmespath, iniconfig, idna, grpcio, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, backports.zoneinfo, attrs, tzlocal, sqlalchemy, shapely, scipy, rsa, requests, referencing, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, pyarrow, proto-plus, isodate, importlib-resources, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, scikit-learn, requests-mock, pytest-xdist, pytest-timeout, pandas, oauth2client, jsonschema-specifications, js2py, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, jsonschema, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, msal, google-cloud-core, boto3, apache-beam, 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:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023" for Docker environment
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1030125308.1698678728.160722/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1030125308.1698678728.160722/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1030125308.1698678728.160722/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1030125308.1698678728.160722/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231030151208161686-9575'
 createTime: '2023-10-30T15:12:09.186592Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-30_08_12_08-18204949348691583999'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1030125308'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-30T15:12:09.186592Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-30_08_12_08-18204949348691583999]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-30_08_12_08-18204949348691583999
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-30_08_12_08-18204949348691583999?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-30_08_12_08-18204949348691583999 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T15:12:21.323Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T15:12:38.068Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T15:12:38.420Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-30_08_12_08-18204949348691583999 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T15:12:56.927Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T15:14:28.433Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-30_08_12_08-18204949348691583999 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T20:00:53.553Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-30_08_12_08-18204949348691583999.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T20:00:53.652Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T20:00:53.691Z: JOB_MESSAGE_BASIC: Stopping **** pool...
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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
    CombineTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 763, in wait_until_finish
    assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-10-30_08_12_08-18204949348691583999?project=<ProjectId>

> 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_Combine_Dataflow_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 9.0.

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

For more on this, please refer to https://docs.gradle.org/8.4/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 55m 15s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/4tlbtwoaslg2s

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_Combine_Dataflow_Streaming #1162

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1162/display/redirect>

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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023" for Docker environment
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1029125309.1698592314.669997/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1029125309.1698592314.669997/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1029125309.1698592314.669997/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1029125309.1698592314.669997/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231029151154670971-2936'
 createTime: '2023-10-29T15:11:55.514823Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-29_08_11_55-12795817276001075689'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1029125309'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-29T15:11:55.514823Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-29_08_11_55-12795817276001075689]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-29_08_11_55-12795817276001075689
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-29_08_11_55-12795817276001075689?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-29_08_11_55-12795817276001075689 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-29T15:12:01.290Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-29T15:12:09.689Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-29T15:12:09.943Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-29_08_11_55-12795817276001075689 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-29T15:12:34.320Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-29T15:13:39.238Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-29_08_11_55-12795817276001075689 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-29T20:00:46.967Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-29_08_11_55-12795817276001075689.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-29T20:00:47.083Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-29T20:00:47.118Z: JOB_MESSAGE_BASIC: Stopping **** pool...
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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
    CombineTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 763, in wait_until_finish
    assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-10-29_08_11_55-12795817276001075689?project=<ProjectId>

> 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_Combine_Dataflow_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 9.0.

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

For more on this, please refer to https://docs.gradle.org/8.4/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 55m 7s
9 actionable tasks: 8 executed, 1 from cache

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

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_Combine_Dataflow_Streaming #1161

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1161/display/redirect>

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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023" for Docker environment
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1028125309.1698505911.404933/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1028125309.1698505911.404933/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1028125309.1698505911.404933/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1028125309.1698505911.404933/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231028151151405900-3302'
 createTime: '2023-10-28T15:11:52.369969Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-28_08_11_51-14838288973383482785'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1028125309'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-28T15:11:52.369969Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-28_08_11_51-14838288973383482785]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-28_08_11_51-14838288973383482785
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-28_08_11_51-14838288973383482785?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-28_08_11_51-14838288973383482785 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-28T15:11:57.638Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-28T15:12:00.297Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-28T15:12:00.559Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-28_08_11_51-14838288973383482785 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-28T15:12:10.526Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-28T15:13:35.022Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-28_08_11_51-14838288973383482785 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-28T20:01:00.125Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-28_08_11_51-14838288973383482785.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-28T20:01:00.255Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-28T20:01:00.298Z: JOB_MESSAGE_BASIC: Stopping **** pool...
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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
    CombineTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 763, in wait_until_finish
    assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-10-28_08_11_51-14838288973383482785?project=<ProjectId>

> 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_Combine_Dataflow_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 9.0.

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

For more on this, please refer to https://docs.gradle.org/8.4/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 55m 24s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/6eyanueqp4dgq

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_Combine_Dataflow_Streaming #1160

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1160/display/redirect>

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Building wheels for collected packages: apache-beam
  Building wheel for apache-beam (pyproject.toml): started
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  Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyjsparser, docopt, crcmod, zstandard, zipp, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, rpds-py, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, psycopg2-binary, protobuf, portalocker, pkgutil-resolve-name, parameterized, overrides, orjson, objsize, numpy, mock, joblib, jmespath, iniconfig, idna, grpcio, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, backports.zoneinfo, attrs, tzlocal, sqlalchemy, shapely, scipy, rsa, requests, referencing, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, pyarrow, proto-plus, isodate, importlib-resources, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, scikit-learn, requests-mock, pytest-xdist, pytest-timeout, pandas, oauth2client, jsonschema-specifications, js2py, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, jsonschema, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, msal, google-cloud-core, boto3, apache-beam, 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
Successfully installed PyJWT-2.8.0 apache-beam-2.52.0.dev0 attrs-23.1.0 azure-core-1.29.5 azure-identity-1.15.0 azure-storage-blob-12.19.0b1 backports.zoneinfo-0.2.1 boto3-1.28.72 botocore-1.31.72 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.1 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.5 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.4 fasteners-0.19 freezegun-1.2.2 google-api-core-2.12.0 google-apitools-0.5.31 google-auth-2.23.3 google-auth-httplib2-0.1.1 google-cloud-aiplatform-1.35.0 google-cloud-bigquery-3.12.0 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.18.0 google-cloud-dlp-3.12.3 google-cloud-language-2.11.1 google-cloud-pubsub-2.18.4 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.5 google-cloud-resource-manager-1.10.4 google-cloud-spanner-3.40.1 google-cloud-storage-2.12.0 google-cloud-videointelligence-2.11.4 google-cloud-vision-3.4.5 google-crc32c-1.5.0 google-resumable-media-2.6.0 googleapis-common-protos-1.61.0 greenlet-3.0.1 grpc-google-iam-v1-0.12.6 grpcio-1.59.0 grpcio-status-1.59.0 hdfs-2.7.3 httplib2-0.22.0 hypothesis-6.88.1 idna-3.4 importlib-resources-6.1.0 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 js2py-0.74 jsonschema-4.19.1 jsonschema-specifications-2023.7.1 mock-5.1.0 msal-1.24.1 msal-extensions-1.0.0 numpy-1.24.4 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.10 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 pkgutil-resolve-name-1.3.10 portalocker-2.8.2 proto-plus-1.23.0rc1 protobuf-4.24.4 psycopg2-binary-2.9.9 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.1.0 pyjsparser-2.7.1 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.3 pytest-timeout-2.2.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 referencing-0.30.2 regex-2023.10.3 requests-2.31.0 requests-mock-1.11.0 rpds-py-0.10.6 rsa-4.9 s3transfer-0.7.0 scikit-learn-1.3.2 scipy-1.10.1 shapely-2.0.2 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.8.0 tzlocal-5.2 urllib3-1.26.18 websocket-client-1.6.4 wrapt-1.16.0rc1 zipp-3.17.0 zstandard-0.21.0

> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023" for Docker environment
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1027125312.1698419550.887037/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1027125312.1698419550.887037/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1027125312.1698419550.887037/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1027125312.1698419550.887037/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231027151230888049-9107'
 createTime: '2023-10-27T15:12:31.838286Z'
 currentStateTime: '1970-01-01T00:00:00Z'
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 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1027125312'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-27T15:12:31.838286Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-27_08_12_31-15826178874467118387]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-27_08_12_31-15826178874467118387
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-27_08_12_31-15826178874467118387?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-27_08_12_31-15826178874467118387 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-27T15:12:37.549Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-27T15:12:41.049Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-27T15:12:41.334Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-27_08_12_31-15826178874467118387 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-27T15:13:02.188Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-27T15:14:12.823Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-27_08_12_31-15826178874467118387 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-27T20:01:08.785Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-27_08_12_31-15826178874467118387.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-27T20:01:08.919Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-27T20:01:08.960Z: JOB_MESSAGE_BASIC: Stopping **** pool...
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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
    CombineTest().run()
  File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_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_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 763, in wait_until_finish
    assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-10-27_08_12_31-15826178874467118387?project=<ProjectId>

> 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_Combine_Dataflow_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 9.0.

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

For more on this, please refer to https://docs.gradle.org/8.4/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 55m 13s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/tpm6w5awlwac4

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

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