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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2023/10/08 20:01:40 UTC

Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1141

See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1141/display/redirect>

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Installing collected packages: sortedcontainers, pytz, pyjsparser, 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, proto-plus, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, backports.zoneinfo, attrs, tzlocal, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, isodate, hypothesis, httplib2, grpcio-status, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, js2py, hdfs, grpc-google-iam-v1, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, 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
Successfully installed PyJWT-2.8.0 apache-beam-2.52.0.dev0 attrs-23.1.0 azure-core-1.29.4 azure-identity-1.15.0b1 azure-storage-blob-12.18.2 backports.zoneinfo-0.2.1 boto3-1.28.62 botocore-1.31.62 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.4 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-2.23.2 google-auth-httplib2-0.1.1 google-cloud-aiplatform-1.34.0 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-2.11.0 google-cloud-videointelligence-2.11.4 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.6.0 googleapis-common-protos-1.60.0 greenlet-3.0.0 grpc-google-iam-v1-0.12.6 grpcio-status-1.59.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.87.3 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 js2py-0.74 mock-5.1.0 msal-1.24.1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.7 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.8.2 proto-plus-1.22.3 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-2.0.4 pyjsparser-2.7.1 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.2 pytest-timeout-2.2.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 regex-2023.10.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.7.0 scikit-learn-1.3.1 scipy-1.10.1 shapely-1.8.5.post1 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-5.1 urllib3-1.26.17 websocket-client-1.6.4 wrapt-1.16.0rc1 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-20230927
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230927" 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-1-1008125342.1696777675.174148/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-1-1008125342.1696777675.174148/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-1-1008125342.1696777675.174148/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-1-1008125342.1696777675.174148/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231008150755175119-8598'
 createTime: '2023-10-08T15:07:56.204500Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-08_08_07_55-1771849071512953916'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1008125342'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-08T15:07:56.204500Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-08_08_07_55-1771849071512953916]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-08_08_07_55-1771849071512953916
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-08_08_07_55-1771849071512953916?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-08_08_07_55-1771849071512953916 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-08T15:08:07.975Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-08T15:08:15.222Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-08T15:08:15.501Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-08_08_07_55-1771849071512953916 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-08T15:08:37.766Z: 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:2023-10-08T15:09:39.347Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-08T20:00:40.177Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-08_08_07_55-1771849071512953916.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-08T20:00:40.314Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-08T20:00:40.380Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-08_08_07_55-1771849071512953916 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>/2023-10-08_08_07_55-1771849071512953916?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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 55m 11s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/hbo3nveymimgg

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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Building wheels for collected packages: apache-beam
  Building wheel for apache-beam (pyproject.toml): started
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  Building wheel for apache-beam (pyproject.toml): finished with status 'done'
  Created wheel for apache-beam: filename=apache_beam-2.52.0.dev0-cp38-cp38-linux_x86_64.whl size=16214561 sha256=4bf73ff11658212d6cf13abf827d28c7d7c9c8040c38678157a4a9b176ddefb9
  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 boto3-1.28.75 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
  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 boto3-1.28.74 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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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 boto3-1.28.73 botocore-1.31.73 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-3.12.0 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-4.19.2 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-1-1030125308.1698678728.160722/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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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 boto3-1.28.73 botocore-1.31.73 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-3.12.0 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-1-1028125309.1698505911.404933/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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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'
 id: '2023-10-27_08_12_31-15826178874467118387'
 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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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1159

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1159/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-1-1026125309.1698333140.702410/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'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-26_08_12_21-14643067112410974340'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1026125309'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-26T15:12:21.677756Z'
 steps: []
 tempFiles: []
 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
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-26T15:12:32.974Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
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 #1158

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1158/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-1.15.0b2 azure-storage-blob-12.19.0b1 backports.zoneinfo-0.2.1 boto3-1.28.70 botocore-1.31.70 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-3.9.9 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-1-1025125312.1698246730.629521/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-1-1025125312.1698246730.629521/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-1-1025125312.1698246730.629521/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-1-1025125312.1698246730.629521/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231025151210630628-7982'
 createTime: '2023-10-25T15:12:11.565661Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-25_08_12_11-15862768479812034062'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1025125312'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-25T15:12:11.565661Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-25_08_12_11-15862768479812034062]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-25_08_12_11-15862768479812034062
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-25_08_12_11-15862768479812034062?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-25_08_12_11-15862768479812034062 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-25T15:12:17.457Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-25T15:12:20.308Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-25T15:12:20.626Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-25_08_12_11-15862768479812034062 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-25T15:12:42.979Z: 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:2023-10-25T15:13:47.827Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-10-25T16:27:01.808Z: JOB_MESSAGE_WARNING: Autoscaling: Unable to reach resize target in zone us-central1-b. QUOTA_EXCEEDED: Instance 'load-tests-python-dataflo-10250812-hu8f-harness-pc9x' creation failed: Quota 'DISKS_TOTAL_GB' exceeded.  Limit: 500000.0 in region us-central1.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-25T16:44:28.814Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-25T16:44:30.656Z: 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:2023-10-25T18:22:59.598Z: 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:
(6b2512f8b45b221e): 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:
(e114374760053658): SDK disconnect.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_control_service.cc:215
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-25_08_12_11-15862768479812034062 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>/2023-10-25_08_12_11-15862768479812034062?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 54m 22s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/ixux5c3dfwjwo

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 #1157

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1157/display/redirect>

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Successfully installed PyJWT-2.8.0 apache-beam-2.52.0.dev0 attrs-23.1.0 azure-core-1.29.5 azure-identity-1.15.0b2 azure-storage-blob-12.19.0b1 backports.zoneinfo-0.2.1 boto3-1.28.69 botocore-1.31.69 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.1 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.4 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-3.0.0 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-3.9.9 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-7.4.2 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-1-1024125349.1698160381.519878/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-1-1024125349.1698160381.519878/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-1-1024125349.1698160381.519878/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-1-1024125349.1698160381.519878/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231024151301520930-1503'
 createTime: '2023-10-24T15:13:02.634808Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-24_08_13_01-7279541586646437243'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1024125349'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-24T15:13:02.634808Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-24_08_13_01-7279541586646437243]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-24_08_13_01-7279541586646437243
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-24_08_13_01-7279541586646437243?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-24_08_13_01-7279541586646437243 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-24T15:13:09.110Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-24T15:13:18.227Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-24T15:13:18.468Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-24_08_13_01-7279541586646437243 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-24T15:13:32.699Z: 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:2023-10-24T15:14:40.320Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-24_08_13_01-7279541586646437243 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-24T20:01:14.642Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-24_08_13_01-7279541586646437243.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-24T20:01:14.740Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-24T20:01:14.780Z: 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>/2023-10-24_08_13_01-7279541586646437243?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/w3feg4zs2g47m

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 #1156

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1156/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-20231009
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" 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-1-1023125340.1698073935.580293/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-1-1023125340.1698073935.580293/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-1-1023125340.1698073935.580293/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-1-1023125340.1698073935.580293/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231023151215581270-7181'
 createTime: '2023-10-23T15:12:16.527857Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-23_08_12_16-8225558607977094487'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1023125340'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-23T15:12:16.527857Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-23_08_12_16-8225558607977094487]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-23_08_12_16-8225558607977094487
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-23_08_12_16-8225558607977094487?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-23_08_12_16-8225558607977094487 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-23T15:12:27.733Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-23T15:12:30.887Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-23T15:12:31.143Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-23_08_12_16-8225558607977094487 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-23T15:13:00.382Z: 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:2023-10-23T15:13:59.655Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-23T20:00:43.228Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-23_08_12_16-8225558607977094487.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-23T20:00:43.330Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-23T20:00:43.368Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-23_08_12_16-8225558607977094487 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>/2023-10-23_08_12_16-8225558607977094487?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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 55m 21s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/74tt3goai2dtu

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 #1155

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1155/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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  Building wheel for apache-beam (pyproject.toml): still running...
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  Building wheel for apache-beam (pyproject.toml): finished with status 'done'
  Created wheel for apache-beam: filename=apache_beam-2.52.0.dev0-cp38-cp38-linux_x86_64.whl size=16207473 sha256=05525319bbd59af35c961be994a4b692db3bf42f659f6180b1cc0fc25009fc9d
  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-1.15.0b2 azure-storage-blob-12.19.0b1 backports.zoneinfo-0.2.1 boto3-1.28.68 botocore-1.31.68 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.4 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-3.0.0 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-3.9.9 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-2.0.4 pyjsparser-2.7.1 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.2 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-1.3.1 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-5.1 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-20231009
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" 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-1-1022125346.1697987526.788733/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-1-1022125346.1697987526.788733/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-1-1022125346.1697987526.788733/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-1-1022125346.1697987526.788733/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231022151206789690-2063'
 createTime: '2023-10-22T15:12:07.943511Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-22_08_12_07-14559941820312025029'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1022125346'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-22T15:12:07.943511Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-22_08_12_07-14559941820312025029]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-22_08_12_07-14559941820312025029
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-22_08_12_07-14559941820312025029?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-22_08_12_07-14559941820312025029 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-22T15:12:14.343Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-22T15:12:23.736Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-22T15:12:23.997Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-22_08_12_07-14559941820312025029 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-22T15:12:47.026Z: 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:2023-10-22T15:13:47.672Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-10-22T17:48:54.444Z: 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:
(577af801ded41827): 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:
(12285a94b9079fa3): SDK disconnect.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_control_service.cc:215
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-22T20:00:42.694Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-22_08_12_07-14559941820312025029.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-22T20:00:42.816Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-22T20:00:42.856Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-22_08_12_07-14559941820312025029 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>/2023-10-22_08_12_07-14559941820312025029?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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 54m 27s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/qja7mae7zv2ww

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 #1154

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1154/display/redirect>

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Successfully installed PyJWT-2.8.0 apache-beam-2.52.0.dev0 attrs-23.1.0 azure-core-1.29.5 azure-identity-1.15.0b2 azure-storage-blob-12.19.0b1 backports.zoneinfo-0.2.1 boto3-1.28.68 botocore-1.31.68 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.4 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-3.0.0 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-3.9.9 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-2.0.4 pyjsparser-2.7.1 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.2 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-1.3.1 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-5.1 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-20231009
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" 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-1-1021125345.1697901153.291168/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-1-1021125345.1697901153.291168/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-1-1021125345.1697901153.291168/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-1-1021125345.1697901153.291168/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231021151233292192-6272'
 createTime: '2023-10-21T15:12:34.275628Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-21_08_12_33-7783818429490540884'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1021125345'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-21T15:12:34.275628Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-21_08_12_33-7783818429490540884]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-21_08_12_33-7783818429490540884
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-21_08_12_33-7783818429490540884?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-21_08_12_33-7783818429490540884 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-21T15:12:40.498Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-21T15:12:42.829Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-21T15:12:43.107Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-21_08_12_33-7783818429490540884 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-21T15:12:55.856Z: 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:2023-10-21T15:14:07.180Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-21_08_12_33-7783818429490540884 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-21T20:00:46.504Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-21_08_12_33-7783818429490540884.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-21T20:00:48.578Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-21T20:00:48.627Z: 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>/2023-10-21_08_12_33-7783818429490540884?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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

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

Publishing build scan...
https://ge.apache.org/s/s7ojoxfqap6fg

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 #1153

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1153/display/redirect>

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WARNING: There was an error checking the latest version of pip.

> 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-20231009
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" 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-1-1020125341.1697814748.095976/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-1-1020125341.1697814748.095976/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-1-1020125341.1697814748.095976/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-1-1020125341.1697814748.095976/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231020151228096989-4180'
 createTime: '2023-10-20T15:12:29.043900Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-20_08_12_28-13182311716805489772'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1020125341'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-20T15:12:29.043900Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-20_08_12_28-13182311716805489772]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-20_08_12_28-13182311716805489772
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-20_08_12_28-13182311716805489772?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-20_08_12_28-13182311716805489772 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-20T15:12:39.270Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-20T15:12:50.444Z: 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:2023-10-20T15:12:51.820Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-20T15:12:52.107Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-20_08_12_28-13182311716805489772 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-20T15:14:20.686Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-20_08_12_28-13182311716805489772 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-20T20:00:47.749Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-20_08_12_28-13182311716805489772.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-20T20:00:47.875Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-20T20:00:47.917Z: 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>/2023-10-20_08_12_28-13182311716805489772?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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 55m 20s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/jmfadzpxesd2o

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 #1152

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Collecting pyasn1>=0.1.7 (from oauth2client>=1.4.12->google-apitools<0.5.32,>=0.5.31)
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Building wheels for collected packages: apache-beam
  Building wheel for apache-beam (pyproject.toml): started
  Building wheel for apache-beam (pyproject.toml): still running...
  Building wheel for apache-beam (pyproject.toml): still running...
  Building wheel for apache-beam (pyproject.toml): still running...
  Building wheel for apache-beam (pyproject.toml): finished with status 'done'
  Created wheel for apache-beam: filename=apache_beam-2.52.0.dev0-cp38-cp38-linux_x86_64.whl size=16206918 sha256=37ca366a10087a778fe28652eb3e916978ec57a17443432dbc262cc3fd0b6570
  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, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, psycopg2-binary, protobuf, portalocker, 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, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, pyarrow, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, scikit-learn, requests-mock, pytest-xdist, pytest-timeout, pandas, oauth2client, js2py, 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
Successfully installed PyJWT-2.8.0 apache-beam-2.52.0.dev0 attrs-23.1.0 azure-core-1.29.4 azure-identity-1.15.0b2 azure-storage-blob-12.19.0b1 backports.zoneinfo-0.2.1 boto3-1.28.66 botocore-1.31.66 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.4 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-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.6.0 googleapis-common-protos-1.61.0 greenlet-3.0.0 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 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 js2py-0.74 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-3.9.9 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.8.2 proto-plus-1.22.3 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-2.0.4 pyjsparser-2.7.1 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.2 pytest-timeout-2.2.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 regex-2023.10.3 requests-2.31.0 requests-mock-1.11.0 rsa-4.9 s3transfer-0.7.0 scikit-learn-1.3.1 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-5.1 urllib3-1.26.18 websocket-client-1.6.4 wrapt-1.16.0rc1 zstandard-0.21.0
WARNING: There was an error checking the latest version of pip.

> 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-20231009
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" 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-1-1019125341.1697728352.508053/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-1-1019125341.1697728352.508053/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-1-1019125341.1697728352.508053/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-1-1019125341.1697728352.508053/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231019151232509038-3620'
 createTime: '2023-10-19T15:12:33.618624Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-19_08_12_32-14734917503801090023'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1019125341'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-19T15:12:33.618624Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-19_08_12_32-14734917503801090023]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-19_08_12_32-14734917503801090023
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-19_08_12_32-14734917503801090023?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-19_08_12_32-14734917503801090023 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-19T15:12:40.478Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-19T15:12:43.276Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-19T15:12:43.591Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-19_08_12_32-14734917503801090023 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-19T15:13:14.610Z: 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:2023-10-19T15:14:13.801Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-10-19T15:37:22.855Z: 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:
(2863c131b6695964): 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:
(d18888c2a6af4924): SDK disconnect.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_control_service.cc:215
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-10-19T17:20:36.063Z: 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:
(eb1bdeff32a44f9d): 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:
(d295b3a44139cfca): SDK disconnect.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_control_service.cc:215
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-19_08_12_32-14734917503801090023 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>/2023-10-19_08_12_32-14734917503801090023?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.

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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1151

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1151/display/redirect>

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WARNING: There was an error checking the latest version of pip.

> 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-20231009
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" 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-1-1018125350.1697641931.597235/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-1-1018125350.1697641931.597235/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-1-1018125350.1697641931.597235/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-1-1018125350.1697641931.597235/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231018151211598209-3139'
 createTime: '2023-10-18T15:12:12.614001Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-18_08_12_11-9049160639923779275'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1018125350'
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 stageStates: []
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 steps: []
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 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-18_08_12_11-9049160639923779275]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-18_08_12_11-9049160639923779275
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-18_08_12_11-9049160639923779275?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-18_08_12_11-9049160639923779275 is in state JOB_STATE_PENDING
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-18T15:12:26.381Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-18T15:12:26.527Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-18_08_12_11-9049160639923779275 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-18T15:12:43.236Z: 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:2023-10-18T15:13:51.017Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-18_08_12_11-9049160639923779275 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-18T20:00:47.557Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-18_08_12_11-9049160639923779275.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-18T20:00:47.658Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-18T20:00:47.698Z: 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>/2023-10-18_08_12_11-9049160639923779275?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/8.3/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/if35ft2gkgngg

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 #1150

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1150/display/redirect>

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Installing collected packages: sortedcontainers, pytz, pyjsparser, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, psycopg2-binary, protobuf, portalocker, 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, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, pyarrow, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, scikit-learn, requests-mock, pytest-xdist, pytest-timeout, pandas, oauth2client, js2py, 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
Successfully installed PyJWT-2.8.0 apache-beam-2.52.0.dev0 attrs-23.1.0 azure-core-1.29.4 azure-identity-1.15.0b2 azure-storage-blob-12.18.3 backports.zoneinfo-0.2.1 boto3-1.28.64 botocore-1.31.64 certifi-2023.7.22 cffi-1.16.0 charset-normalizer-3.3.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.4 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-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.6.0 googleapis-common-protos-1.61.0 greenlet-3.0.0 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 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 js2py-0.74 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-3.9.9 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.8.2 proto-plus-1.22.3 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-2.0.4 pyjsparser-2.7.1 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.2 pytest-timeout-2.2.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 regex-2023.10.3 requests-2.31.0 requests-mock-1.11.0 rsa-4.9 s3transfer-0.7.0 scikit-learn-1.3.1 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-5.1 urllib3-1.26.17 websocket-client-1.6.4 wrapt-1.16.0rc1 zstandard-0.21.0
WARNING: There was an error checking the latest version of pip.

> 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-20231009
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" 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-1-1017125347.1697555506.758521/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-1-1017125347.1697555506.758521/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-1-1017125347.1697555506.758521/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-1-1017125347.1697555506.758521/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231017151146759477-7611'
 createTime: '2023-10-17T15:11:47.831222Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-17_08_11_47-1185265036401412661'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1017125347'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-17T15:11:47.831222Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-17_08_11_47-1185265036401412661]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-17_08_11_47-1185265036401412661
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-17_08_11_47-1185265036401412661?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-17_08_11_47-1185265036401412661 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-17T15:11:53.151Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-17T15:11:56.074Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-17T15:11:56.306Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-17_08_11_47-1185265036401412661 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-17T15:12:21.162Z: 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:2023-10-17T15:13:27.448Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-10-17T19:31:09.677Z: 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:
(326a663481ae0934): 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:
(602bcb65af8e9cca): SDK disconnect.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_control_service.cc:215
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-17T20:00:38.350Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-17_08_11_47-1185265036401412661.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-17T20:00:38.441Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-17T20:00:38.480Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-17_08_11_47-1185265036401412661 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>/2023-10-17_08_11_47-1185265036401412661?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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 54m 19s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/4qpt2wpeuiql4

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 #1149

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1149/display/redirect?page=changes>

Changes:

[noreply] Bump github.com/aws/aws-sdk-go-v2/feature/s3/manager in /sdks (#29002)


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WARNING: There was an error checking the latest version of pip.

> 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-20231009
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" 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-1-1016125345.1697469113.891932/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-1-1016125345.1697469113.891932/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-1-1016125345.1697469113.891932/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-1-1016125345.1697469113.891932/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231016151153892935-6038'
 createTime: '2023-10-16T15:11:55.002338Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-16_08_11_54-922891843405630483'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1016125345'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-16T15:11:55.002338Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-16_08_11_54-922891843405630483]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-16_08_11_54-922891843405630483
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-16_08_11_54-922891843405630483?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-16_08_11_54-922891843405630483 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-16T15:12:01.595Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-16T15:12:05.685Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-16T15:12:06.030Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-16_08_11_54-922891843405630483 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-16T15:12:15.584Z: 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:2023-10-16T15:13:30.572Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-16_08_11_54-922891843405630483 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-16T18:30:18.993Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-16_08_11_54-922891843405630483.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-16T18:30:20.922Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-16T18:30:20.974Z: 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>/2023-10-16_08_11_54-922891843405630483?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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 3h 24m 19s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/hpixtoijr7em4

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 #1148

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1148/display/redirect>

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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, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, psycopg2-binary, protobuf, portalocker, 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, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, pyarrow, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, scikit-learn, requests-mock, pytest-xdist, pytest-timeout, pandas, oauth2client, js2py, 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: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-20231009
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" 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-1-1015125348.1697382714.256555/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-1-1015125348.1697382714.256555/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-1-1015125348.1697382714.256555/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-1-1015125348.1697382714.256555/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231015151154257504-9310'
 createTime: '2023-10-15T15:11:55.344643Z'
 currentStateTime: '1970-01-01T00:00:00Z'
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 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1015125348'
 projectId: 'apache-beam-testing'
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 startTime: '2023-10-15T15:11:55.344643Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-15_08_11_54-8219740811220299116]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-15_08_11_54-8219740811220299116
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-15_08_11_54-8219740811220299116?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-15_08_11_54-8219740811220299116 is in state JOB_STATE_PENDING
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-15T15:12:04.825Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-15_08_11_54-8219740811220299116 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-15T15:12:18.879Z: 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:2023-10-15T15:13:26.786Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-15_08_11_54-8219740811220299116 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-15T18:25:15.350Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-15_08_11_54-8219740811220299116.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-15T18:25:15.438Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-15T18:25:15.488Z: 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>/2023-10-15_08_11_54-8219740811220299116?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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 3h 19m 47s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/l43pxndpzqwxm

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 #1147

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1147/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-20231009
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" 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-1-1014125337.1697296324.499722/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-1-1014125337.1697296324.499722/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-1-1014125337.1697296324.499722/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-1-1014125337.1697296324.499722/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231014151204500702-8014'
 createTime: '2023-10-14T15:12:05.621544Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-14_08_12_04-4668252496200847216'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1014125337'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-14T15:12:05.621544Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-14_08_12_04-4668252496200847216]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-14_08_12_04-4668252496200847216
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-14_08_12_04-4668252496200847216?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-14_08_12_04-4668252496200847216 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-14T15:12:16.217Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-14T15:12:18.439Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-14T15:12:18.869Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-14_08_12_04-4668252496200847216 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-14T15:12:25.463Z: 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:2023-10-14T15:13:42.906Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-10-14T18:56:25.711Z: JOB_MESSAGE_ERROR: 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:
(e41a16364e541a8f): SDK disconnect.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_control_service.cc:215
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-10-14T18:56:34.128Z: JOB_MESSAGE_ERROR: 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:
(e41a16364e541a8f): SDK disconnect.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_control_service.cc:215
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-14T20:00:37.642Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-14_08_12_04-4668252496200847216.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-14T20:00:37.824Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-14T20:00:37.876Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-14_08_12_04-4668252496200847216 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>/2023-10-14_08_12_04-4668252496200847216?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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 54m 16s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/mqvtoxqewe2pg

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 #1146

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1146/display/redirect>

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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, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, psycopg2-binary, protobuf, portalocker, 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, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, pyarrow, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, scikit-learn, requests-mock, pytest-xdist, pytest-timeout, pandas, oauth2client, js2py, 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: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-20231009
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" 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-1-1013141614.1697209971.106959/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-1-1013141614.1697209971.106959/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-1-1013141614.1697209971.106959/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-1-1013141614.1697209971.106959/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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 createTime: '2023-10-13T15:12:52.086803Z'
 currentStateTime: '1970-01-01T00:00:00Z'
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 name: 'load-tests-python-dataflow-streaming-combine-1-1013141614'
 projectId: 'apache-beam-testing'
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 startTime: '2023-10-13T15:12:52.086803Z'
 steps: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-13_08_12_51-16402797051709579747]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-13_08_12_51-16402797051709579747
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-13_08_12_51-16402797051709579747?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-13_08_12_51-16402797051709579747 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-13T15:12:58.031Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-13T15:13:07.235Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-13_08_12_51-16402797051709579747 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-13T15:13:07.477Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-13T15:13:27.500Z: 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:2023-10-13T15:14:29.476Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-13_08_12_51-16402797051709579747 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-13T20:00:59.935Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-13_08_12_51-16402797051709579747.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-13T20:01:00.035Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-13T20:01:00.072Z: 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>/2023-10-13_08_12_51-16402797051709579747?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/8.3/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/ptckfexi5qrli

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 #1145

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1145/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-20231009
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" 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-1-1012125347.1697123276.610025/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-1-1012125347.1697123276.610025/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-1-1012125347.1697123276.610025/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-1-1012125347.1697123276.610025/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231012150756611075-6275'
 createTime: '2023-10-12T15:07:58.025038Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-12_08_07_56-18365561118498084789'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1012125347'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-12T15:07:58.025038Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-12_08_07_56-18365561118498084789]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-12_08_07_56-18365561118498084789
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-12_08_07_56-18365561118498084789?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-12_08_07_56-18365561118498084789 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-12T15:08:05.415Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-12T15:08:08.076Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-12_08_07_56-18365561118498084789 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-12T15:08:08.426Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-12T15:08:22.871Z: 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:2023-10-12T15:09:41.122Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-12_08_07_56-18365561118498084789 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-12T20:00:45.381Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-12_08_07_56-18365561118498084789.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-12T20:00:45.482Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-12T20:00:45.530Z: 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>/2023-10-12_08_07_56-18365561118498084789?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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 55m 27s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/eoaqptpirx7hg

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 #1144

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1144/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-20231009
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" 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-1-1011145557.1697036883.974741/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-1-1011145557.1697036883.974741/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-1-1011145557.1697036883.974741/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-1-1011145557.1697036883.974741/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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 createTime: '2023-10-11T15:08:04.943324Z'
 currentStateTime: '1970-01-01T00:00:00Z'
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 name: 'load-tests-python-dataflow-streaming-combine-1-1011145557'
 projectId: 'apache-beam-testing'
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 startTime: '2023-10-11T15:08:04.943324Z'
 steps: []
 tempFiles: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-11_08_08_04-3913927649183029939]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-11_08_08_04-3913927649183029939
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-11_08_08_04-3913927649183029939?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-11_08_08_04-3913927649183029939 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-11T15:08:14.964Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-11T15:08:26.936Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-11T15:08:27.195Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-11_08_08_04-3913927649183029939 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-11T15:08:45.322Z: 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:2023-10-11T15:09:58.194Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-11_08_08_04-3913927649183029939 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-11T20:00:55.721Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-11_08_08_04-3913927649183029939.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-11T20:00:55.823Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-11T20:00:55.863Z: 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>/2023-10-11_08_08_04-3913927649183029939?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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 55m 21s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/jpxc4tyeipksw

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 #1143

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1143/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-20230927
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230927" 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-1-1010125348.1696950476.566005/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-1-1010125348.1696950476.566005/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-1-1010125348.1696950476.566005/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-1-1010125348.1696950476.566005/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231010150756566942-2485'
 createTime: '2023-10-10T15:07:57.506149Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-10_08_07_56-5693713630432065285'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1010125348'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-10T15:07:57.506149Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-10_08_07_56-5693713630432065285]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-10_08_07_56-5693713630432065285
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-10_08_07_56-5693713630432065285?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-10_08_07_56-5693713630432065285 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-10T15:08:03.013Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-10T15:08:05.478Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-10T15:08:05.776Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-10_08_07_56-5693713630432065285 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-10T15:08:35.106Z: 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:2023-10-10T15:09:37.608Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-10T20:00:46.033Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-10_08_07_56-5693713630432065285.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-10T20:00:46.156Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-10T20:00:46.208Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-10_08_07_56-5693713630432065285 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>/2023-10-10_08_07_56-5693713630432065285?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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 55m 19s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/3a6maa2ywtjuq

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 #1142

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1142/display/redirect?page=changes>

Changes:

[noreply] Bump org.nosphere.apache.rat from 0.8.0 to 0.8.1 (#28675)


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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-20230927
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230927" 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-1-1009125350.1696865153.663746/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-1-1009125350.1696865153.663746/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-1-1009125350.1696865153.663746/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-1-1009125350.1696865153.663746/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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 steps: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-10-09_08_25_54-4329034137610977054]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-10-09_08_25_54-4329034137610977054
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-09_08_25_54-4329034137610977054?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-09_08_25_54-4329034137610977054 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-09T15:26:01.858Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-09T15:26:05.552Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-09T15:26:05.821Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-09_08_25_54-4329034137610977054 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-09T15:26:19.190Z: 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:2023-10-09T15:27:28.631Z: JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-10-09_08_25_54-4329034137610977054 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-09T20:00:48.629Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-10-09_08_25_54-4329034137610977054.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-09T20:00:48.753Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-09T20:00:48.793Z: 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>/2023-10-09_08_25_54-4329034137610977054?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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 4h 37m 16s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/sbchhwk2krats

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

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