You are viewing a plain text version of this content. The canonical link for it is here.

Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/12/12 00:16:06 UTC

Build failed in Jenkins: beam_PostCommit_Python38 #3482

See <https://ci-beam.apache.org/job/beam_PostCommit_Python38/3482/display/redirect>

Changes:


------------------------------------------
[...truncated 10.28 MB...]
    dataset_ref = client.dataset(unique_dataset_name, project=project)

apache_beam/examples/complete/game/game_stats_it_test.py: 2 warnings
apache_beam/examples/cookbook/bigquery_tornadoes_it_test.py: 1 warning
apache_beam/examples/complete/game/hourly_team_score_it_test.py: 1 warning
apache_beam/examples/complete/game/leader_board_it_test.py: 2 warnings
apache_beam/io/gcp/bigquery_test.py: 6 warnings
apache_beam/io/gcp/bigquery_file_loads_test.py: 3 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_json_it_test.py: 2 warnings
apache_beam/io/gcp/big_query_query_to_table_it_test.py: 4 warnings
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:1992: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
    is_streaming_pipeline = p.options.view_as(StandardOptions).streaming

apache_beam/examples/complete/game/game_stats_it_test.py: 2 warnings
apache_beam/examples/cookbook/bigquery_tornadoes_it_test.py: 1 warning
apache_beam/examples/complete/game/hourly_team_score_it_test.py: 1 warning
apache_beam/examples/complete/game/leader_board_it_test.py: 2 warnings
apache_beam/io/gcp/bigquery_test.py: 6 warnings
apache_beam/io/gcp/bigquery_file_loads_test.py: 3 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_json_it_test.py: 2 warnings
apache_beam/io/gcp/big_query_query_to_table_it_test.py: 4 warnings
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:1998: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
    experiments = p.options.view_as(DebugOptions).experiments or []

apache_beam/examples/cookbook/bigquery_tornadoes_it_test.py: 1 warning
apache_beam/io/gcp/bigquery_write_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_test.py: 2 warnings
apache_beam/io/gcp/big_query_query_to_table_it_test.py: 4 warnings
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:1988: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
    self.table_reference.projectId = pcoll.pipeline.options.view_as(

apache_beam/examples/cookbook/bigquery_tornadoes_it_test.py: 1 warning
apache_beam/io/gcp/bigquery_file_loads_test.py: 3 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 3 warnings
apache_beam/io/gcp/bigquery_test.py: 3 warnings
apache_beam/io/gcp/big_query_query_to_table_it_test.py: 4 warnings
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery_file_loads.py>:1142: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
    self.project = self.project or p.options.view_as(GoogleCloudOptions).project

apache_beam/examples/cookbook/bigquery_tornadoes_it_test.py: 1 warning
apache_beam/examples/complete/game/hourly_team_score_it_test.py: 1 warning
apache_beam/io/gcp/bigquery_file_loads_test.py: 3 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 3 warnings
apache_beam/io/gcp/bigquery_test.py: 3 warnings
apache_beam/io/gcp/big_query_query_to_table_it_test.py: 4 warnings
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery_file_loads.py>:1149: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
    temp_location = p.options.view_as(GoogleCloudOptions).temp_location

apache_beam/examples/cookbook/bigquery_tornadoes_it_test.py: 1 warning
apache_beam/examples/complete/game/hourly_team_score_it_test.py: 1 warning
apache_beam/io/gcp/bigquery_file_loads_test.py: 3 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 3 warnings
apache_beam/io/gcp/bigquery_test.py: 3 warnings
apache_beam/io/gcp/big_query_query_to_table_it_test.py: 4 warnings
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery_file_loads.py>:1151: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
    p.options.view_as(GoogleCloudOptions).job_name or 'AUTOMATIC_JOB_NAME')

apache_beam/examples/cookbook/bigquery_tornadoes_it_test.py::BigqueryTornadoesIT::test_bigquery_tornadoes_it
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/tests/utils.py>:100: PendingDeprecationWarning: Client.dataset is deprecated and will be removed in a future version. Use a string like 'my_project.my_dataset' or a cloud.google.bigquery.DatasetReference object, instead.
    table_ref = client.dataset(dataset_id).table(table_id)

apache_beam/dataframe/io_it_test.py: 2 warnings
apache_beam/io/gcp/bigquery_json_it_test.py: 1 warning
apache_beam/io/gcp/bigquery_read_it_test.py: 9 warnings
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2529: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
    project_id = pcoll.pipeline.options.view_as(GoogleCloudOptions).project

apache_beam/dataframe/io_it_test.py: 2 warnings
apache_beam/io/gcp/bigquery_json_it_test.py: 1 warning
apache_beam/io/gcp/bigquery_read_it_test.py: 9 warnings
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2550: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
    pipeline_options=pcoll.pipeline.options,

apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/examples/dataframe/flight_delays.py>:47: FutureWarning: The default value of numeric_only in DataFrame.mean is deprecated. In a future version, it will default to False. In addition, specifying 'numeric_only=None' is deprecated. Select only valid columns or specify the value of numeric_only to silence this warning.
    return airline_df[at_top_airports].mean()

apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
apache_beam/examples/dataframe/taxiride_it_test.py::TaxirideIT::test_aggregation
apache_beam/examples/dataframe/taxiride_it_test.py::TaxirideIT::test_enrich
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/dataframe/io.py>:659: FutureWarning: WriteToFiles is experimental.
    return pcoll | fileio.WriteToFiles(

apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
apache_beam/examples/dataframe/taxiride_it_test.py::TaxirideIT::test_aggregation
apache_beam/examples/dataframe/taxiride_it_test.py::TaxirideIT::test_enrich
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/fileio.py>:591: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
    p.options.view_as(GoogleCloudOptions).temp_location or

apache_beam/io/gcp/bigquery_test.py::BigQueryStreamingInsertTransformIntegrationTests::test_multiple_destinations_transform
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery_test.py>:1684: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
    streaming = self.test_pipeline.options.view_as(StandardOptions).streaming

apache_beam/io/gcp/bigquery_read_it_test.py::ReadTests::test_native_source
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery_read_it_test.py>:172: BeamDeprecationWarning: BigQuerySource is deprecated since 2.25.0. Use ReadFromBigQuery instead.
    beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))

apache_beam/ml/gcp/cloud_dlp_it_test.py::CloudDLPIT::test_deidentification
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/ml/gcp/cloud_dlp_it_test.py>:74: FutureWarning: MaskDetectedDetails is experimental.
    | MaskDetectedDetails(

apache_beam/ml/gcp/cloud_dlp_it_test.py::CloudDLPIT::test_inspection
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/ml/gcp/cloud_dlp_it_test.py>:85: FutureWarning: InspectForDetails is experimental.
    | InspectForDetails(

apache_beam/ml/inference/sklearn_inference_it_test.py::SklearnInference::test_sklearn_regression
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/examples/inference/sklearn_japanese_housing_regression.py>:128: FutureWarning: SklearnModelHandlerPandas is experimental. No backwards-compatibility guarantees.
    model_loader = SklearnModelHandlerPandas(

apache_beam/ml/inference/sklearn_inference_it_test.py::SklearnInference::test_sklearn_regression
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/dill/_dill.py>:472: FutureWarning: SklearnModelHandlerPandas is experimental. No backwards-compatibility guarantees.
    obj = StockUnpickler.load(self)

apache_beam/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_native_source
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery_read_it_test.py>:695: BeamDeprecationWarning: BigQuerySource is deprecated since 2.25.0. Use ReadFromBigQuery instead.
    beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))

apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery_read_it_test.py>:810: FutureWarning: ReadAllFromBigQuery is experimental.
    | beam.io.ReadAllFromBigQuery())

apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2658: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
    job_name = pcoll.pipeline.options.view_as(GoogleCloudOptions).job_name

apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2659: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
    project = pcoll.pipeline.options.view_as(GoogleCloudOptions).project

apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2672: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported
    options=pcoll.pipeline.options,

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/pytest_postCommitIT-df-py38.xml> -
[36m[1m=========================== short test summary info ============================[0m
[31mFAILED[0m apache_beam/runners/dataflow/dataflow_exercise_metrics_pipeline_test.py::[1mExerciseMetricsPipelineTest::test_metrics_fnapi_it[0m - AssertionError: "Unable to match metrics for matcher  name: 'ElementCount' (label_key: 'output_user_name' label_value: 'GroupByKey/Reify-out0').  (label_key: 'original_name' label_value: 'GroupByKey/Reify-out0-ElementCount').  attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher  name: 'MeanByteCount' (label_key: 'output_user_name' label_value: 'GroupByKey/Reify-out0').  (label_key: 'original_name' label_value: 'GroupByKey/Reify-out0-MeanByteCount').  attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher  name: 'ElementCount' (label_key: 'output_user_name' label_value: 'GroupByKey/GroupByWindow-out0').  (label_key: 'original_name' label_value: 'GroupByKey/GroupByWindow-out0-ElementCount').  attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher  name: 'MeanByteCount' (label_key: 'output_user_name' label_value: 'GroupByKey/GroupByWindow-out0').  (label_key: 'original_name' label_value: 'GroupByKey/GroupByWindow-out0-MeanByteCount').  attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher  name: 'ElementCount' (label_key: 'output_user_name' label_value: 'GroupByKey/Reify-out0').  (label_key: 'original_name' label_value: 'GroupByKey/Reify-out0-ElementCount').  attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher  name: 'MeanByteCount' (label_key: 'output_user_name' label_value: 'GroupByKey/Reify-out0').  (label_key: 'original_name' label_value: 'GroupByKey/Reify-out0-MeanByteCount').  attempted: a value greater than <0> committed: a value greater than <0>\nActual MetricResults:\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.UserMetricsDoFn, name=distribution_values), labels={}), committed=DistributionResult(sum=100, count=4, min=0, max=100, mean=25.0), attempted=DistributionResult(sum=100, count=4, min=0, max=100, mean=25.0))\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.UserMetricsDoFn, name=total_values), labels={}), committed=100, attempted=100)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalVcpuTime), labels={'original_name': 'Service-cpu_num_seconds'}), committed=969, attempted=969)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3970017, attempted=3970017)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=12115, attempted=12115)\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=None, attempted=None)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=BillableShuffleDataProcessed), labels={'original_name': 'Service-shuffle_service_chargeable_gb'}), committed=None, attempted=None)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalStreamingDataProcessed), labels={'original_name': 'Service-streaming_service_gb'}), committed=0, attempted=0)\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=CurrentShuffleSlotCount), labels={'original_name': 'dax-shuffle-current-shuffle-slots'}), committed=0, attempted=0)\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=25, attempted=25)\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=PeakShuffleSlotCount), labels={'original_name': 'dax-shuffle-peak-shuffle-slots'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-11_14_20_02-13503488497179388084/phases/graph_runner/step-invocations/F16-invoke-12705009918220625160/map-tasks-completion/map-tasks', 'execution_step': 'F16'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-ElementCount'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0'}), committed=46, attempted=46)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/Impulse-out0', 'original_name': 'Create/Impulse-out0-ElementCount'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/Impulse-out0', 'original_name': 'Create/Impulse-out0-MeanByteCount'}), committed=13, attempted=13)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0'}), committed=27, attempted=27)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-MeanByteCount'}), committed=19, attempted=19)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0-ElementCount', 'output_user_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0-MeanByteCount', 'output_user_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0'}), committed=14, attempted=14)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/FlatMap(<lambda at core.py:3507>), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/AddRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/FlatMap(<lambda at core.py:3507>), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/AddRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/AddRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/FlatMap(<lambda at core.py:3507>), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-11_14_20_02-13503488497179388084/phases/graph_runner/step-invocations/F15-invoke-12705009918220626528/map-tasks-completion/map-tasks', 'execution_step': 'F15'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'metrics-out0-ElementCount', 'output_user_name': 'metrics-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/Map(decode)-out0', 'original_name': 'Create/Map(decode)-out0-ElementCount'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0'}), committed=19, attempted=19)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-ElementCount'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0-ElementCount'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-ElementCount'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'map_to_common_key-out0-MeanByteCount', 'output_user_name': 'map_to_common_key-out0'}), committed=18, attempted=18)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0'}), committed=14, attempted=14)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/Map(decode)-out0', 'original_name': 'Create/Map(decode)-out0-MeanByteCount'}), committed=14, attempted=14)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'metrics-out0-MeanByteCount', 'output_user_name': 'metrics-out0'}), committed=14, attempted=14)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0-MeanByteCount'}), committed=49, attempted=49)\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=947, attempted=947)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=3993, attempted=3993)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=1000, attempted=1000)\nMetricResult(key=MetricKey(step=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F14', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-11_14_20_02-13503488497179388084/phases/graph_runner/step-invocations/F14-invoke-12705009918220627212/map-tasks-completion/map-tasks'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'GroupByKey/Read-out0', 'original_name': 'GroupByKey/Read-out0-MeanByteCount'}), committed=28, attempted=28)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'm_out-out0', 'original_name': 'm_out-out0-ElementCount'}), committed=5, attempted=5)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'm_out-out0-MeanByteCount', 'output_user_name': 'm_out-out0'}), committed=15, attempted=15)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'GroupByKey/Read-out0', 'original_name': 'GroupByKey/Read-out0-ElementCount'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)" is not false : Unable to match metrics for matcher  name: 'ElementCount' (label_key: 'output_user_name' label_value: 'GroupByKey/Reify-out0').  (label_key: 'original_name' label_value: 'GroupByKey/Reify-out0-ElementCount').  attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher  name: 'MeanByteCount' (label_key: 'output_user_name' label_value: 'GroupByKey/Reify-out0').  (label_key: 'original_name' label_value: 'GroupByKey/Reify-out0-MeanByteCount').  attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher  name: 'ElementCount' (label_key: 'output_user_name' label_value: 'GroupByKey/GroupByWindow-out0').  (label_key: 'original_name' label_value: 'GroupByKey/GroupByWindow-out0-ElementCount').  attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher  name: 'MeanByteCount' (label_key: 'output_user_name' label_value: 'GroupByKey/GroupByWindow-out0').  (label_key: 'original_name' label_value: 'GroupByKey/GroupByWindow-out0-MeanByteCount').  attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher  name: 'ElementCount' (label_key: 'output_user_name' label_value: 'GroupByKey/Reify-out0').  (label_key: 'original_name' label_value: 'GroupByKey/Reify-out0-ElementCount').  attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher  name: 'MeanByteCount' (label_key: 'output_user_name' label_value: 'GroupByKey/Reify-out0').  (label_key: 'original_name' label_value: 'GroupByKey/Reify-out0-MeanByteCount').  attempted: a value greater than <0> committed: a value greater than <0>
Actual MetricResults:
MetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.UserMetricsDoFn, name=distribution_values), labels={}), committed=DistributionResult(sum=100, count=4, min=0, max=100, mean=25.0), attempted=DistributionResult(sum=100, count=4, min=0, max=100, mean=25.0))
MetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.UserMetricsDoFn, name=total_values), labels={}), committed=100, attempted=100)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalVcpuTime), labels={'original_name': 'Service-cpu_num_seconds'}), committed=969, attempted=969)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3970017, attempted=3970017)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=12115, attempted=12115)
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=None, attempted=None)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=BillableShuffleDataProcessed), labels={'original_name': 'Service-shuffle_service_chargeable_gb'}), committed=None, attempted=None)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalStreamingDataProcessed), labels={'original_name': 'Service-streaming_service_gb'}), committed=0, attempted=0)
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=CurrentShuffleSlotCount), labels={'original_name': 'dax-shuffle-current-shuffle-slots'}), committed=0, attempted=0)
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=25, attempted=25)
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=PeakShuffleSlotCount), labels={'original_name': 'dax-shuffle-peak-shuffle-slots'}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-11_14_20_02-13503488497179388084/phases/graph_runner/step-invocations/F16-invoke-12705009918220625160/map-tasks-completion/map-tasks', 'execution_step': 'F16'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-ElementCount'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0'}), committed=46, attempted=46)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/Impulse-out0', 'original_name': 'Create/Impulse-out0-ElementCount'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/Impulse-out0', 'original_name': 'Create/Impulse-out0-MeanByteCount'}), committed=13, attempted=13)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0'}), committed=27, attempted=27)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-MeanByteCount'}), committed=19, attempted=19)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0-ElementCount', 'output_user_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0-MeanByteCount', 'output_user_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0'}), committed=14, attempted=14)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/FlatMap(<lambda at core.py:3507>), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/AddRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/FlatMap(<lambda at core.py:3507>), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/AddRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/AddRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/FlatMap(<lambda at core.py:3507>), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-11_14_20_02-13503488497179388084/phases/graph_runner/step-invocations/F15-invoke-12705009918220626528/map-tasks-completion/map-tasks', 'execution_step': 'F15'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'metrics-out0-ElementCount', 'output_user_name': 'metrics-out0'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/Map(decode)-out0', 'original_name': 'Create/Map(decode)-out0-ElementCount'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0'}), committed=19, attempted=19)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-ElementCount'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0-ElementCount'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-ElementCount'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'map_to_common_key-out0-MeanByteCount', 'output_user_name': 'map_to_common_key-out0'}), committed=18, attempted=18)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0'}), committed=14, attempted=14)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/Map(decode)-out0', 'original_name': 'Create/Map(decode)-out0-MeanByteCount'}), committed=14, attempted=14)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'metrics-out0-MeanByteCount', 'output_user_name': 'metrics-out0'}), committed=14, attempted=14)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0-MeanByteCount'}), committed=49, attempted=49)
MetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=947, attempted=947)
MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=3993, attempted=3993)
MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=1000, attempted=1000)
MetricResult(key=MetricKey(step=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F14', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-11_14_20_02-13503488497179388084/phases/graph_runner/step-invocations/F14-invoke-12705009918220627212/map-tasks-completion/map-tasks'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'GroupByKey/Read-out0', 'original_name': 'GroupByKey/Read-out0-MeanByteCount'}), committed=28, attempted=28)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'm_out-out0', 'original_name': 'm_out-out0-ElementCount'}), committed=5, attempted=5)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'm_out-out0-MeanByteCount', 'output_user_name': 'm_out-out0'}), committed=15, attempted=15)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'GroupByKey/Read-out0', 'original_name': 'GroupByKey/Read-out0-ElementCount'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)
[31m===== [31m[1m1 failed[0m, [32m85 passed[0m, [33m19 skipped[0m, [33m257 warnings[0m[31m in 13632.08s (3:47:12)[0m[31m =====[0m

> Task :sdks:python:test-suites:dataflow:py38:postCommitIT FAILED

FAILURE: Build failed with an exception.

* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111

* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py38:postCommitIT'.
> 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

Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.

BUILD FAILED in 4h 37s
204 actionable tasks: 140 executed, 58 from cache, 6 up-to-date

Publishing build scan...
https://gradle.com/s/7s5f7yx4f4rl6

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

---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org