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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
  Attempting uninstall: protobuf
    Found existing installation: protobuf 4.24.3
    Uninstalling protobuf-4.24.3:
      Successfully uninstalled protobuf-4.24.3
Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 
azure-core-1.29.4 azure-identity-1.15.0b1 azure-storage-blob-12.18.0b1 
boto3-1.28.45 botocore-1.31.45 certifi-2023.7.22 cffi-1.15.1 
charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 
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-1.8.3 fasteners-0.18 
freezegun-1.2.2 google-api-core-2.12.0rc1 google-apitools-0.5.31 
google-auth-2.23.0 google-auth-httplib2-0.1.1 google-cloud-aiplatform-1.32.0 
google-cloud-bigquery-3.11.4 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-3.12.2 
google-cloud-language-2.11.0 google-cloud-pubsub-2.18.4 
google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 
google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 
google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 
google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.6.0 
googleapis-common-protos-1.60.0 greenlet-3.0.0rc2 grpc-google-iam-v1-0.12.6 
grpcio-status-1.58.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.84.3 idna-3.4 
iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 
msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 
orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 
proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 
pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 
pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.2 pytest-timeout-2.1.0 
pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 
regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 
scikit-learn-1.3.0 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 urllib3-1.26.16 websocket-client-1.6.3 
wrapt-1.15.0 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-20230717
INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" 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-1-0912125411.1694531276.682651/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-1-0912125411.1694531276.682651/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-1-0912125411.1694531276.682651/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-1-0912125411.1694531276.682651/pipeline.pb
 in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20230912150756683648-5001'
 createTime: '2023-09-12T15:07:57.730317Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-09-12_08_07_57-687697229327874203'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-0912125411'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-09-12T15:07:57.730317Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2023-09-12_08_07_57-687697229327874203]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2023-09-12_08_07_57-687697229327874203
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-12_08_07_57-687697229327874203?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2023-09-12_08_07_57-687697229327874203 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T15:08:03.829Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T15:08:05.769Z: 
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T15:08:06.089Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2023-09-12_08_07_57-687697229327874203 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T15:08:41.931Z: 
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
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T19:58:36.125Z: 
JOB_MESSAGE_WARNING: Autoscaling: Unable to reach resize target in zone 
us-central1-b. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 
'load-tests-python-dataflo-09120807-1w0f-harness-h2zj' creation failed: The 
zone 'projects/apache-beam-testing/zones/us-central1-b' does not have enough 
resources available to fulfill the request.  '(resource type:compute)'.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2023-09-12_08_07_57-687697229327874203 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T20:24:29.351Z: 
JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 
2023-09-12_08_07_57-687697229327874203.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T20:24:29.501Z: 
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T20:24:29.555Z: 
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 757, 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>/2023-09-12_08_07_57-687697229327874203?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 8.0.

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

See 
https://docs.gradle.org/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 5h 18m 46s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://ge.apache.org/s/lf3va2ogwevxq

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

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