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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2023/05/12 22:53:00 UTC
Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow_V2 #4881
See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/4881/display/redirect>
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/torch-2.0.1-cp38-cp38-manylinux1_x86_64.whl in 28 seconds.
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/tensorflow_transform-1.13.0-py3-none-any.whl in 0 seconds.
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/torchvision-0.15.2-cp38-cp38-manylinux1_x86_64.whl in 1 seconds.
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/Pillow-9.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds.
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/matplotlib-3.5.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl in 0 seconds.
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/matplotlib-3.7.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/scikit_learn-1.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/scikit_learn-1.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/scikit_learn-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/scikit_learn-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/scikit_learn-1.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/scikit_learn-1.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/apache_beam-2.48.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/apache_beam-2.48.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/pipeline.pb...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0512224126-151342-nthvafm2.1683931286.151575/pipeline.pb in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:909 Create job: <Job
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:911 Created job with id: [2023-05-12_15_42_45-10450039401017800348]
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:912 Submitted job: 2023-05-12_15_42_45-10450039401017800348
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:913 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-05-12_15_42_45-10450039401017800348?project=apache-beam-testing
[32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:58 Console log:
[32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:59 https://console.cloud.google.com/dataflow/jobs/us-central1/2023-05-12_15_42_45-10450039401017800348?project=apache-beam-testing
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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:46.669Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2023-05-12_15_42_45-10450039401017800348. The number of workers will be between 1 and 100.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:46.691Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2023-05-12_15_42_45-10450039401017800348.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:51.617Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:53.551Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:53.578Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:53.642Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:53.681Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:53.708Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:53.729Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:53.752Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:53.792Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:53.819Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:53.844Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:53.873Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/Write into dump_to_pub/ToProtobuf
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:53.909Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:53.931Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect persistent state.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:54.006Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:54.032Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:54.048Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:54.080Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:54.245Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:54.277Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:42:54.310Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-c...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:43:11.215Z: 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
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:43:32.430Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 so that the pipeline can catch up with its backlog and keep up with its input rate.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:44:04.803Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:44:17.591Z: JOB_MESSAGE_DETAILED: All workers have finished the startup processes and began to receive work requests.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-05-12T22:47:03.862Z: JOB_MESSAGE_WARNING: The workers of given job are going to be updated.
[33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:249 Timing out on waiting for job 2023-05-12_15_42_45-10450039401017800348 after 301 seconds
[33m=============================== warnings summary ===============================[0m
../../build/gradleenv/2050596099/lib/python3.11/site-packages/hdfs/config.py:15
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/hdfs/config.py>:15: DeprecationWarning: the imp module is deprecated in favour of importlib and slated for removal in Python 3.12; see the module's documentation for alternative uses
from imp import load_source
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:121
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:121: DeprecationWarning: pkg_resources is deprecated as an API
warnings.warn("pkg_resources is deprecated as an API", DeprecationWarning)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2870: 18 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2870: 13 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.cloud')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2349
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2349
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2349
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2349
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2349: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(parent)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2870
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.logging')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2870
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.iam')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
declare_namespace(pkg)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/google/rpc/__init__.py:20
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/google/rpc/__init__.py>:20: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.rpc')`.
Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages
pkg_resources.declare_namespace(__name__)
../../build/gradleenv/2050596099/lib/python3.11/site-packages/google/api_core/operations_v1/abstract_operations_client.py:17
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/google/api_core/operations_v1/abstract_operations_client.py>:17: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives
from distutils import util
apache_beam/typehints/pandas_type_compatibility_test.py:67
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:67: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
}).set_index(pd.Int64Index(range(123, 223), name='an_index')),
apache_beam/typehints/pandas_type_compatibility_test.py:90
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:90: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
pd.Int64Index(range(123, 223), name='an_index'),
apache_beam/typehints/pandas_type_compatibility_test.py:91
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:91: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
pd.Int64Index(range(475, 575), name='another_index'),
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py311-noxdist.xml> -
[36m[1m=========================== short test summary info ============================[0m
[31mFAILED[0m apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::[1mExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it[0m - AssertionError: "Unable to match metrics for matcher name: 'ElementCount' (label_key: 'output_user_name' label_value: 'generate_metrics-out0'). (label_key: 'original_name' label_value: 'generate_metrics-out0-ElementCount'). attempted: <3> committed: <3>Unable to match metrics for matcher namespace: 'apache_beam.runners.dataflow.dataflow_exercise_streaming_metrics_pipeline.StreamingUserMetricsDoFn' name: 'double_msg_counter_name' step: 'generate_metrics' attempted: <6> committed: <6>Unable to match metrics for matcher namespace: 'apache_beam.runners.dataflow.dataflow_exercise_streaming_metrics_pipeline.StreamingUserMetricsDoFn' name: 'msg_len_dist_metric_name' step: 'generate_metrics' attempted: sum_value: <29> count_value: <3> min_value: <9> max_value: <11> committed: sum_value: <29> count_value: <3> min_value: <9> max_value: <11>\nActual MetricResults:\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalVcpuTime), labels={'original_name': 'Service-cpu_num_seconds'}), committed=547, attempted=547)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=2241984, attempted=2241984)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=8210, attempted=8210)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalSsdUsage), labels={'original_name': 'Service-pd_ssd_gb_seconds'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalShuffleDataProcessed), labels={'original_name': 'Service-shuffle_service_actual_gb'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=BillableShuffleDataProcessed), labels={'original_name': 'Service-shuffle_service_chargeable_gb'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalStreamingDataProcessed), labels={'original_name': 'Service-streaming_service_gb'}), committed=None, attempted=None)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalGpuTime), labels={'original_name': 'Service-gpu_num_seconds'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=BacklogBytes), labels={'original_name': 'dataflow_backlog_size-F0', 'execution_step': 'F0'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=SystemWatermark), labels={'execution_step': 'F0'}), committed=None, attempted=None)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentVcpuCount), labels={'original_name': 'Service-cpu_num'}), committed=2, attempted=2)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentMemoryUsage), labels={'original_name': 'Service-mem_mb'}), committed=8192, attempted=8192)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentPdUsage), labels={'original_name': 'Service-pd_gb'}), committed=30, attempted=30)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentSsdUsage), labels={'original_name': 'Service-pd_ssd_gb'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentGpuCount), labels={'original_name': 'Service-gpu_num'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=DataWatermark), labels={'execution_step': 'F0'}), committed=None, attempted=None)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=SystemLag), labels={'execution_step': 'F0'}), committed=920279, attempted=920279)" is not false : Unable to match metrics for matcher name: 'ElementCount' (label_key: 'output_user_name' label_value: 'generate_metrics-out0'). (label_key: 'original_name' label_value: 'generate_metrics-out0-ElementCount'). attempted: <3> committed: <3>Unable to match metrics for matcher namespace: 'apache_beam.runners.dataflow.dataflow_exercise_streaming_metrics_pipeline.StreamingUserMetricsDoFn' name: 'double_msg_counter_name' step: 'generate_metrics' attempted: <6> committed: <6>Unable to match metrics for matcher namespace: 'apache_beam.runners.dataflow.dataflow_exercise_streaming_metrics_pipeline.StreamingUserMetricsDoFn' name: 'msg_len_dist_metric_name' step: 'generate_metrics' attempted: sum_value: <29> count_value: <3> min_value: <9> max_value: <11> committed: sum_value: <29> count_value: <3> min_value: <9> max_value: <11>
Actual MetricResults:
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalVcpuTime), labels={'original_name': 'Service-cpu_num_seconds'}), committed=547, attempted=547)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=2241984, attempted=2241984)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=8210, attempted=8210)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalSsdUsage), labels={'original_name': 'Service-pd_ssd_gb_seconds'}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalShuffleDataProcessed), labels={'original_name': 'Service-shuffle_service_actual_gb'}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=BillableShuffleDataProcessed), labels={'original_name': 'Service-shuffle_service_chargeable_gb'}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalStreamingDataProcessed), labels={'original_name': 'Service-streaming_service_gb'}), committed=None, attempted=None)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalGpuTime), labels={'original_name': 'Service-gpu_num_seconds'}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=BacklogBytes), labels={'original_name': 'dataflow_backlog_size-F0', 'execution_step': 'F0'}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=SystemWatermark), labels={'execution_step': 'F0'}), committed=None, attempted=None)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentVcpuCount), labels={'original_name': 'Service-cpu_num'}), committed=2, attempted=2)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentMemoryUsage), labels={'original_name': 'Service-mem_mb'}), committed=8192, attempted=8192)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentPdUsage), labels={'original_name': 'Service-pd_gb'}), committed=30, attempted=30)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentSsdUsage), labels={'original_name': 'Service-pd_ssd_gb'}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentGpuCount), labels={'original_name': 'Service-gpu_num'}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=DataWatermark), labels={'execution_step': 'F0'}), committed=None, attempted=None)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=SystemLag), labels={'execution_step': 'F0'}), committed=920279, attempted=920279)
[31m==== [31m[1m1 failed[0m, [33m9 skipped[0m, [33m6915 deselected[0m, [33m44 warnings[0m[31m in 710.62s (0:11:50)[0m[31m ====[0m
> Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 283
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests'.
> Process 'command 'sh'' finished with non-zero exit value 1
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
* Get more help at https://help.gradle.org
Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 44m 33s
24 actionable tasks: 24 executed
Publishing build scan...
https://ge.apache.org/s/nscv626o63c7s
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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