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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/12/13 18:45:34 UTC
Build failed in Jenkins: beam_PostCommit_Python310 #224
See <https://ci-beam.apache.org/job/beam_PostCommit_Python310/224/display/redirect>
Changes:
------------------------------------------
[...truncated 10.43 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/big_query_query_to_table_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_test.py: 6 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/bigquery_file_loads_test.py: 3 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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/big_query_query_to_table_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_test.py: 6 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/bigquery_file_loads_test.py: 3 warnings
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experiments = p.options.view_as(DebugOptions).experiments or []
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_Python310/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_Python310/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/cookbook/bigquery_tornadoes_it_test.py: 1 warning
apache_beam/io/gcp/big_query_query_to_table_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_test.py: 2 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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/big_query_query_to_table_it_test.py: 4 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/bigquery_file_loads_test.py: 3 warnings
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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/big_query_query_to_table_it_test.py: 4 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/bigquery_file_loads_test.py: 3 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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/big_query_query_to_table_it_test.py: 4 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/bigquery_file_loads_test.py: 3 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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
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table_ref = client.dataset(dataset_id).table(table_id)
apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
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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
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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
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p.options.view_as(GoogleCloudOptions).temp_location or
apache_beam/io/gcp/bigquery_test.py::BigQueryStreamingInsertTransformIntegrationTests::test_multiple_destinations_transform
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streaming = self.test_pipeline.options.view_as(StandardOptions).streaming
apache_beam/io/gcp/bigquery_read_it_test.py::ReadTests::test_native_source
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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_Python310/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_Python310/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_Python310/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
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obj = StockUnpickler.load(self)
apache_beam/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_native_source
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beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
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| beam.io.ReadAllFromBigQuery())
apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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_Python310/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_Python310/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_Python310/ws/src/sdks/python/pytest_postCommitIT-df-py310.xml> -
[36m[1m=========================== short test summary info ============================[0m
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(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=total_values), labels={}), committed=100, attempted=100)\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=, metric=MetricName(namespace=dataflow/v1b3, name=TotalVcpuTime), labels={'original_name': 'Service-cpu_num_seconds'}), committed=976, attempted=976)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3998333, attempted=3998333)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=12201, attempted=12201)\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, 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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/MaybeReshuffle/Reshuffle/AddRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F15', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-13_08_55_13-10224058963693871775/phases/graph_runner/step-invocations/F15-invoke-12949157256266826326/map-tasks-completion/map-tasks'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/Map(decode)-out0-ElementCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount'}), committed=19, attempted=19)\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={'original_name': 'metrics-out0-MeanByteCount', 'output_user_name': 'metrics-out0'}), committed=14, attempted=14)\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/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-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': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0'}), committed=49, attempted=49)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/Map(decode)-out0-MeanByteCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=14, attempted=14)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0'}), committed=4, attempted=4)\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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=947, attempted=947)\nMetricResult(key=MetricKey(step=Create/Map(decode), 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_FinishBundle), 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/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), 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=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\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=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_StartBundle), labels={}), committed=0, attempted=0)\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/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), 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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F14', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-13_08_55_13-10224058963693871775/phases/graph_runner/step-invocations/F14-invoke-12949157256266829274/map-tasks-completion/map-tasks'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'GroupByKey/Read-out0-MeanByteCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=28, attempted=28)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=1, attempted=1)\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={'output_user_name': 'm_out-out0', 'original_name': 'm_out-out0-MeanByteCount'}), committed=15, attempted=15)\nMetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\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)" 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=total_values), labels={}), committed=100, attempted=100)
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=, metric=MetricName(namespace=dataflow/v1b3, name=TotalVcpuTime), labels={'original_name': 'Service-cpu_num_seconds'}), committed=976, attempted=976)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3998333, attempted=3998333)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=12201, attempted=12201)
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-2022-12-13_08_55_13-10224058963693871775/phases/graph_runner/step-invocations/F16-invoke-12949157256266828622/map-tasks-completion/map-tasks', 'execution_step': 'F16'}), committed=1, attempted=1)
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=MeanByteCount), labels={'original_name': 'Create/Impulse-out0-MeanByteCount', 'output_user_name': 'Create/Impulse-out0'}), 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=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0'}), committed=4, attempted=4)
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/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=19, attempted=19)
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={'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=4, attempted=4)
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={'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=Create/MaybeReshuffle/Reshuffle/AddRandomKeys, 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_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_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=Create/MaybeReshuffle/Reshuffle/AddRandomKeys, 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_ProcessElement), labels={}), committed=0, attempted=0)
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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F15', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-13_08_55_13-10224058963693871775/phases/graph_runner/step-invocations/F15-invoke-12949157256266826326/map-tasks-completion/map-tasks'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/Map(decode)-out0-ElementCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount'}), committed=19, attempted=19)
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={'original_name': 'metrics-out0-MeanByteCount', 'output_user_name': 'metrics-out0'}), committed=14, attempted=14)
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/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-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': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0'}), committed=49, attempted=49)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/Map(decode)-out0-MeanByteCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=14, attempted=14)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0'}), committed=4, attempted=4)
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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=947, attempted=947)
MetricResult(key=MetricKey(step=Create/Map(decode), 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_FinishBundle), 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/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), 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=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)
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[31m===== [31m[1m1 failed[0m, [32m85 passed[0m, [33m19 skipped[0m, [33m664 warnings[0m[31m in 13204.05s (3:40:04)[0m[31m =====[0m
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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 3h 42m 7s
203 actionable tasks: 139 executed, 58 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/llhjtizvv7uag
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_PostCommit_Python310 #236
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python310/236/display/redirect?page=changes>
Changes:
[noreply] Bump github.com/aws/aws-sdk-go-v2 from 1.17.2 to 1.17.3 in /sdks
[noreply] [Tour Of Beam] delete user progress (#24657)
------------------------------------------
[...truncated 10.36 MB...]
dataset_ref = client.dataset(unique_dataset_name, project=project)
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apache_beam/io/gcp/bigquery_file_loads_test.py: 3 warnings
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apache_beam/dataframe/io_it_test.py: 2 warnings
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beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
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| beam.io.ReadAllFromBigQuery())
apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
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job_name = pcoll.pipeline.options.view_as(GoogleCloudOptions).job_name
apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
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apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
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-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
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[36m[1m=========================== short test summary info ============================[0m
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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-2022-12-16_09_34_53-17510235448634485795/phases/graph_runner/step-invocations/F16-invoke-16101759112617475392/map-tasks-completion/map-tasks', 'execution_step': 'F16'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0', 'original_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0-ElementCount'}), committed=4, attempted=4)\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/AddRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-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/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={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-MeanByteCount'}), committed=26, attempted=26)\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/AddRandomKeys-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=18, attempted=18)\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/Impulse-out0-ElementCount', 'output_user_name': 'Create/Impulse-out0'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-MeanByteCount'}), committed=45, attempted=45)\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/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_StartBundle), 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/FlatMap(<lambda at core.py:3507>), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), 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_FinishBundle), labels={}), committed=0, attempted=0)\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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F15', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-16_09_34_53-17510235448634485795/phases/graph_runner/step-invocations/F15-invoke-16101759112617473096/map-tasks-completion/map-tasks'}), committed=1, attempted=1)\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={'original_name': 'Create/Map(decode)-out0-MeanByteCount', 'output_user_name': 'Create/Map(decode)-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=48, attempted=48)\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={'original_name': 'map_to_common_key-out0-ElementCount', 'output_user_name': 'map_to_common_key-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={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)\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=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-MeanByteCount'}), committed=14, attempted=14)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount'}), committed=18, attempted=18)\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': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=Create/Map(decode), 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=map_to_common_key, 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_ProcessElement), 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=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, 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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=1000, attempted=1000)\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_StartBundle), labels={}), committed=946, attempted=946)\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/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), 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_FinishBundle), 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_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-2022-12-16_09_34_53-17510235448634485795/phases/graph_runner/step-invocations/F14-invoke-16101759112617476044/map-tasks-completion/map-tasks', 'execution_step': 'F14'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'GroupByKey/Read-out0-MeanByteCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=28, attempted=28)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=1, attempted=1)\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={'original_name': 'm_out-out0-ElementCount', 'output_user_name': 'm_out-out0'}), committed=5, attempted=5)\nMetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), 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_ProcessElement), 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=933, attempted=933)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3823041, attempted=3823041)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=11666, attempted=11666)
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-2022-12-16_09_34_53-17510235448634485795/phases/graph_runner/step-invocations/F16-invoke-16101759112617475392/map-tasks-completion/map-tasks', 'execution_step': 'F16'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0', 'original_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0-ElementCount'}), committed=4, attempted=4)
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/AddRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-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/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={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-MeanByteCount'}), committed=26, attempted=26)
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/AddRandomKeys-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=18, attempted=18)
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/Impulse-out0-ElementCount', 'output_user_name': 'Create/Impulse-out0'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-MeanByteCount'}), committed=45, attempted=45)
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/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_StartBundle), 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/FlatMap(<lambda at core.py:3507>), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), 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_FinishBundle), labels={}), committed=0, attempted=0)
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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F15', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-16_09_34_53-17510235448634485795/phases/graph_runner/step-invocations/F15-invoke-16101759112617473096/map-tasks-completion/map-tasks'}), committed=1, attempted=1)
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={'original_name': 'Create/Map(decode)-out0-MeanByteCount', 'output_user_name': 'Create/Map(decode)-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=48, attempted=48)
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={'original_name': 'map_to_common_key-out0-ElementCount', 'output_user_name': 'map_to_common_key-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={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)
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=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-MeanByteCount'}), committed=14, attempted=14)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount'}), committed=18, attempted=18)
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': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=Create/Map(decode), 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=map_to_common_key, 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_ProcessElement), 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=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, 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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=1000, attempted=1000)
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_StartBundle), labels={}), committed=946, attempted=946)
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/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), 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_FinishBundle), 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_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-2022-12-16_09_34_53-17510235448634485795/phases/graph_runner/step-invocations/F14-invoke-16101759112617476044/map-tasks-completion/map-tasks', 'execution_step': 'F14'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'GroupByKey/Read-out0-MeanByteCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=28, attempted=28)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=1, attempted=1)
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={'original_name': 'm_out-out0-ElementCount', 'output_user_name': 'm_out-out0'}), committed=5, attempted=5)
MetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), 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_ProcessElement), labels={}), committed=0, attempted=0)
[31m===== [31m[1m1 failed[0m, [32m85 passed[0m, [33m19 skipped[0m, [33m664 warnings[0m[31m in 13377.10s (3:42:57)[0m[31m =====[0m
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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 3h 45m 25s
203 actionable tasks: 139 executed, 58 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/hih4p5sukfxq4
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_PostCommit_Python310 #235
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python310/235/display/redirect>
Changes:
------------------------------------------
[...truncated 2.50 MB...]
INFO:root:severity: INFO
timestamp {
seconds: 1671182867
nanos: 880701780
}
message: "Closing all cached gRPC state handlers."
log_location: "/usr/local/lib/python3.10/site-packages/apache_beam/runners/worker/sdk_worker.py:875"
thread: "MainThread"
INFO:root:severity: INFO
timestamp {
seconds: 1671182867
nanos: 880929470
}
message: "Done consuming work."
log_location: "/usr/local/lib/python3.10/site-packages/apache_beam/runners/worker/sdk_worker.py:277"
thread: "MainThread"
INFO:root:severity: INFO
timestamp {
seconds: 1671182867
nanos: 881005764
}
message: "Python sdk harness exiting."
log_location: "/usr/local/lib/python3.10/site-packages/apache_beam/runners/worker/sdk_worker_main.py:188"
thread: "MainThread"
INFO:apache_beam.runners.portability.local_job_service:Completed job in 36.42425036430359 seconds with state DONE.
INFO:root:Completed job in 36.42425036430359 seconds with state DONE.
INFO:apache_beam.runners.portability.portable_runner:Job state changed to DONE
> Task :sdks:python:test-suites:portable:py310:portableWordCountSparkRunnerBatch
INFO:apache_beam.runners.worker.worker_pool_main:Listening for workers at localhost:41617
INFO:root:Default Python SDK image for environment is apache/beam_python3.10_sdk:2.45.0.dev
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7fba3befc0d0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function lift_combiners at 0x7fba3befc160> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fba3befc8b0> ====================
INFO:apache_beam.utils.subprocess_server:Starting service with ['java' '-jar' '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/runners/spark/3/job-server/build/libs/beam-runners-spark-3-job-server-2.45.0-SNAPSHOT.jar'> '--spark-master-url' 'local[4]' '--artifacts-dir' '/tmp/beam-temprohzow1p/artifactsgcxwsw6l' '--job-port' '34873' '--artifact-port' '0' '--expansion-port' '0']
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:09 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:09 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: ArtifactStagingService started on localhost:38661
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:09 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: Java ExpansionService started on localhost:35531
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:09 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: JobService started on localhost:34873
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:09 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: Job server now running, terminate with Ctrl+C
WARNING:root:Waiting for grpc channel to be ready at localhost:34873.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:12 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Staging artifacts for job_cc0ce00b-bf72-4462-8eb2-60b64b3f66e8.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:12 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Resolving artifacts for job_cc0ce00b-bf72-4462-8eb2-60b64b3f66e8.ref_Environment_default_environment_1.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:12 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Getting 1 artifacts for job_cc0ce00b-bf72-4462-8eb2-60b64b3f66e8.null.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:12 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Artifacts fully staged for job_cc0ce00b-bf72-4462-8eb2-60b64b3f66e8.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:12 INFO org.apache.beam.runners.spark.SparkJobInvoker: Invoking job BeamApp-jenkins-1216092812-7fdba759_2da93834-f267-4b93-bf87-dadd8e11f0fb
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:13 INFO org.apache.beam.runners.jobsubmission.JobInvocation: Starting job invocation BeamApp-jenkins-1216092812-7fdba759_2da93834-f267-4b93-bf87-dadd8e11f0fb
INFO:apache_beam.runners.portability.portable_runner:Environment "LOOPBACK" has started a component necessary for the execution. Be sure to run the pipeline using
with Pipeline() as p:
p.apply(..)
This ensures that the pipeline finishes before this program exits.
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:13 INFO org.apache.beam.runners.spark.translation.SparkContextFactory: Creating a brand new Spark Context.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:13 WARN org.apache.hadoop.util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:14 INFO org.sparkproject.jetty.util.log: Logging initialized @7941ms to org.sparkproject.jetty.util.log.Slf4jLog
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:14 INFO org.sparkproject.jetty.server.Server: jetty-9.4.40.v20210413; built: 2021-04-13T20:42:42.668Z; git: b881a572662e1943a14ae12e7e1207989f218b74; jvm 1.8.0_352-8u352-ga-1~20.04-b08
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.Server: Started @8164ms
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.AbstractConnector: Started ServerConnector@7237c0ef{HTTP/1.1, (http/1.1)}{127.0.0.1:4040}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@60b50fad{/jobs,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@43eb9bfc{/jobs/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@6649c5b{/jobs/job,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@29c518af{/jobs/job/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@1849e52c{/stages,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@4f8b4a03{/stages/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@1d24ad0e{/stages/stage,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7fdf803e{/stages/stage/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@1e38a638{/stages/pool,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2993148{/stages/pool/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@6f28f78e{/storage,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@168c3c5{/storage/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@493ca2e8{/storage/rdd,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@4137ab63{/storage/rdd/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@9ba358c{/environment,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@422f806f{/environment/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@50d756b1{/executors,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2afdfe41{/executors/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@8fac86{/executors/threadDump,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@280505a2{/executors/threadDump/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7abc713{/static,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@69e524a6{/,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@58770f0a{/api,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@febfb0c{/jobs/job/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@4d49b87a{/stages/stage/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@3fdeb66c{/metrics/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.apache.beam.runners.spark.metrics.MetricsAccumulator: Instantiated metrics accumulator: MetricQueryResults()
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:15 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Running job BeamApp-jenkins-1216092812-7fdba759_2da93834-f267-4b93-bf87-dadd8e11f0fb on Spark master local[4]
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:16 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:16 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:16 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:16 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.runners.worker.statecache:Creating state cache with size 0
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure control channel for localhost:44623.
INFO:apache_beam.runners.worker.sdk_worker:Control channel established.
INFO:apache_beam.runners.worker.sdk_worker:Initializing SDKHarness with unbounded number of workers.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: Beam Fn Control client connected with id 1-1
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-2
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure state channel for localhost:39719.
INFO:apache_beam.runners.worker.sdk_worker:State channel established.
INFO:apache_beam.runners.worker.data_plane:Creating client data channel for localhost:43081
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.data.GrpcDataService: Beam Fn Data client connected.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-3
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-4
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-5
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-6
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-7
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-9
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-8
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-10
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-12
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-11
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:17 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-13
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-14
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-15
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Job BeamApp-jenkins-1216092812-7fdba759_2da93834-f267-4b93-bf87-dadd8e11f0fb: Pipeline translated successfully. Computing outputs
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-16
INFO:apache_beam.io.filebasedsink:Starting finalize_write threads with num_shards: 4 (skipped: 0), batches: 4, num_threads: 4
INFO:apache_beam.io.filebasedsink:Renamed 4 shards in 0.01 seconds.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Job BeamApp-jenkins-1216092812-7fdba759_2da93834-f267-4b93-bf87-dadd8e11f0fb finished.
INFO:apache_beam.utils.subprocess_server:22/12/16 09:28:18 INFO org.sparkproject.jetty.server.AbstractConnector: Stopped Spark@7237c0ef{HTTP/1.1, (http/1.1)}{127.0.0.1:4040}
INFO:apache_beam.runners.portability.portable_runner:Job state changed to DONE
Exception in thread read_state:
Traceback (most recent call last):
File "/usr/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
Exception in thread run_worker_1-1:
Traceback (most recent call last):
File "/usr/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
self.run()
self.run()
File "/usr/lib/python3.10/threading.py", line 946, in run
File "/usr/lib/python3.10/threading.py", line 946, in run
self._target(*self._args, **self._kwargs)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/sdk_worker.py",> line 254, in run
self._target(*self._args, **self._kwargs)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/sdk_worker.py",> line 1006, in pull_responses
for response in responses:
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
for work_request in self._control_stub.Control(get_responses()):
return self._next()
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
ERROR:apache_beam.runners.worker.data_plane:Failed to read inputs in the data plane.
Traceback (most recent call last):
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py",> line 654, in _read_inputs
for elements in elements_iterator:
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
return self._next()
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:43081 {created_time:"2022-12-16T09:28:18.889374711+00:00", grpc_status:14, grpc_message:"Socket closed"}"
>
Exception in thread read_grpc_client_inputs:
Traceback (most recent call last):
File "/usr/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
self.run()
File "/usr/lib/python3.10/threading.py", line 946, in run
self._target(*self._args, **self._kwargs)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py",> line 671, in <lambda>
target=lambda: self._read_inputs(elements_iterator),
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py",> line 654, in _read_inputs
for elements in elements_iterator:
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
return self._next()
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:43081 {created_time:"2022-12-16T09:28:18.889374711+00:00", grpc_status:14, grpc_message:"Socket closed"}"
>
return self._next()
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:44623 {grpc_message:"Socket closed", grpc_status:14, created_time:"2022-12-16T09:28:18.889374714+00:00"}"
>
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:39719 {grpc_message:"Socket closed", grpc_status:14, created_time:"2022-12-16T09:28:18.889372783+00:00"}"
>
> Task :sdks:python:test-suites:portable:py310:postCommitPy310
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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 5h 1m 28s
203 actionable tasks: 139 executed, 58 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/3z2b53uadzef6
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_PostCommit_Python310 #234
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python310/234/display/redirect?page=changes>
Changes:
[noreply] Ensure that we handle formatting errors during logging in portable
[noreply] [CdapIO] Complete examples for CDAP Zendesk plugins (#24589)
------------------------------------------
[...truncated 10.35 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_write_it_test.py: 4 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_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_Python310/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_write_it_test.py: 4 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_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_Python310/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_Python310/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_write_it_test.py: 3 warnings
apache_beam/io/gcp/bigquery_file_loads_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_Python310/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_write_it_test.py: 3 warnings
apache_beam/io/gcp/bigquery_file_loads_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_Python310/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_write_it_test.py: 3 warnings
apache_beam/io/gcp/bigquery_file_loads_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_Python310/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_Python310/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_Python310/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_Python310/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_Python310/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
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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_Python310/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
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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_Python310/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_Python310/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_Python310/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
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model_loader = SklearnModelHandlerPandas(
apache_beam/ml/inference/sklearn_inference_it_test.py::SklearnInference::test_sklearn_regression
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/2050596098/lib/python3.10/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_Python310/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_Python310/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_Python310/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_Python310/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_Python310/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_Python310/ws/src/sdks/python/pytest_postCommitIT-df-py310.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=889, attempted=889)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3641576, attempted=3641576)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=11113, attempted=11113)\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-2022-12-15_20_55_50-6586046902964675131/phases/graph_runner/step-invocations/F16-invoke-7060823220816143524/map-tasks-completion/map-tasks', 'execution_step': 'F16'}), committed=1, attempted=1)\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={'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=MeanByteCount), labels={'original_name': 'Create/Impulse-out0-MeanByteCount', 'output_user_name': 'Create/Impulse-out0'}), committed=13, attempted=13)\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/Impulse-out0-ElementCount', 'output_user_name': 'Create/Impulse-out0'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-MeanByteCount'}), committed=27, attempted=27)\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=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-ElementCount'}), committed=4, attempted=4)\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=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/FlatMap(<lambda at core.py:3507>), 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_FinishBundle), 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/MaybeReshuffle/Reshuffle/AddRandomKeys, 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_ProcessElement), 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/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F15', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-15_20_55_50-6586046902964675131/phases/graph_runner/step-invocations/F15-invoke-7060823220816144284/map-tasks-completion/map-tasks'}), 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': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0'}), 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={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)\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={'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-MeanByteCount'}), committed=14, attempted=14)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount'}), committed=19, attempted=19)\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=ElementCount), labels={'original_name': 'Create/Map(decode)-out0-ElementCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=4, attempted=4)\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={'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=946, attempted=946)\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=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=Create/Map(decode), 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_ProcessElement), 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=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, 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_FinishBundle), 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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=3992, attempted=3992)\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/RemoveRandomKeys, 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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F14', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-15_20_55_50-6586046902964675131/phases/graph_runner/step-invocations/F14-invoke-7060823220816142616/map-tasks-completion/map-tasks'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'm_out-out0', 'original_name': 'm_out-out0-MeanByteCount'}), committed=15, attempted=15)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=1, attempted=1)\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={'output_user_name': 'GroupByKey/Read-out0', 'original_name': 'GroupByKey/Read-out0-MeanByteCount'}), committed=28, attempted=28)\nMetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), 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_ProcessElement), 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=889, attempted=889)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3641576, attempted=3641576)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=11113, attempted=11113)
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-2022-12-15_20_55_50-6586046902964675131/phases/graph_runner/step-invocations/F16-invoke-7060823220816143524/map-tasks-completion/map-tasks', 'execution_step': 'F16'}), committed=1, attempted=1)
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={'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=MeanByteCount), labels={'original_name': 'Create/Impulse-out0-MeanByteCount', 'output_user_name': 'Create/Impulse-out0'}), committed=13, attempted=13)
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/Impulse-out0-ElementCount', 'output_user_name': 'Create/Impulse-out0'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-MeanByteCount'}), committed=27, attempted=27)
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=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-ElementCount'}), committed=4, attempted=4)
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=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/FlatMap(<lambda at core.py:3507>), 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_FinishBundle), 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/MaybeReshuffle/Reshuffle/AddRandomKeys, 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_ProcessElement), 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/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F15', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-15_20_55_50-6586046902964675131/phases/graph_runner/step-invocations/F15-invoke-7060823220816144284/map-tasks-completion/map-tasks'}), 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': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0'}), 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={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)
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={'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-MeanByteCount'}), committed=14, attempted=14)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount'}), committed=19, attempted=19)
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=ElementCount), labels={'original_name': 'Create/Map(decode)-out0-ElementCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=4, attempted=4)
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={'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=946, attempted=946)
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=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=Create/Map(decode), 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_ProcessElement), 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=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, 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_FinishBundle), 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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=3992, attempted=3992)
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/RemoveRandomKeys, 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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F14', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-15_20_55_50-6586046902964675131/phases/graph_runner/step-invocations/F14-invoke-7060823220816142616/map-tasks-completion/map-tasks'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'm_out-out0', 'original_name': 'm_out-out0-MeanByteCount'}), committed=15, attempted=15)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=1, attempted=1)
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={'output_user_name': 'GroupByKey/Read-out0', 'original_name': 'GroupByKey/Read-out0-MeanByteCount'}), committed=28, attempted=28)
MetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), 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_ProcessElement), labels={}), committed=0, attempted=0)
[31m===== [31m[1m1 failed[0m, [32m85 passed[0m, [33m19 skipped[0m, [33m665 warnings[0m[31m in 13369.97s (3:42:49)[0m[31m =====[0m
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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 3h 45m 21s
203 actionable tasks: 139 executed, 58 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/wmmmt4uw7mmii
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_PostCommit_Python310 #233
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python310/233/display/redirect?page=changes>
Changes:
[noreply] Make base_sdk URN versioned on default docker container. (#24668)
[noreply] Add hypothesis strategy to generate complex schemas, use it to test
[noreply] Add Debezium IO to doc (#24608)
[noreply] Bump google.golang.org/api from 0.104.0 to 0.105.0 in /sdks (#24672)
[noreply] resume running flaky test (#24648)
------------------------------------------
[...truncated 4.80 MB...]
thread: "MainThread"
INFO:root:severity: INFO
timestamp {
seconds: 1671138981
nanos: 169215679
}
message: "Done consuming work."
log_location: "/usr/local/lib/python3.10/site-packages/apache_beam/runners/worker/sdk_worker.py:277"
thread: "MainThread"
INFO:root:severity: INFO
timestamp {
seconds: 1671138981
nanos: 169293642
}
message: "Python sdk harness exiting."
log_location: "/usr/local/lib/python3.10/site-packages/apache_beam/runners/worker/sdk_worker_main.py:188"
thread: "MainThread"
INFO:apache_beam.runners.portability.local_job_service:Completed job in 14.193180561065674 seconds with state DONE.
INFO:root:Completed job in 14.193180561065674 seconds with state DONE.
INFO:apache_beam.runners.portability.portable_runner:Job state changed to DONE
> Task :sdks:python:test-suites:portable:py310:portableWordCountSparkRunnerBatch
INFO:apache_beam.runners.worker.worker_pool_main:Listening for workers at localhost:34823
INFO:root:Default Python SDK image for environment is apache/beam_python3.10_sdk:2.45.0.dev
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7fd238a040d0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function lift_combiners at 0x7fd238a04160> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fd238a048b0> ====================
INFO:apache_beam.utils.subprocess_server:Starting service with ['java' '-jar' '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/runners/spark/3/job-server/build/libs/beam-runners-spark-3-job-server-2.45.0-SNAPSHOT.jar'> '--spark-master-url' 'local[4]' '--artifacts-dir' '/tmp/beam-temp409qblmf/artifactsaurc6q7u' '--job-port' '42795' '--artifact-port' '0' '--expansion-port' '0']
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:26 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:27 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: ArtifactStagingService started on localhost:44385
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:27 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: Java ExpansionService started on localhost:42125
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:27 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: JobService started on localhost:42795
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:27 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: Job server now running, terminate with Ctrl+C
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:27 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Staging artifacts for job_18684b62-749a-422d-b302-9169bdde8c38.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:27 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Resolving artifacts for job_18684b62-749a-422d-b302-9169bdde8c38.ref_Environment_default_environment_1.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:27 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Getting 1 artifacts for job_18684b62-749a-422d-b302-9169bdde8c38.null.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:27 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Artifacts fully staged for job_18684b62-749a-422d-b302-9169bdde8c38.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:27 INFO org.apache.beam.runners.spark.SparkJobInvoker: Invoking job BeamApp-jenkins-1215211627-178f84d8_06e5a322-ebad-475b-856b-0de34e795295
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:28 INFO org.apache.beam.runners.jobsubmission.JobInvocation: Starting job invocation BeamApp-jenkins-1215211627-178f84d8_06e5a322-ebad-475b-856b-0de34e795295
INFO:apache_beam.runners.portability.portable_runner:Environment "LOOPBACK" has started a component necessary for the execution. Be sure to run the pipeline using
with Pipeline() as p:
p.apply(..)
This ensures that the pipeline finishes before this program exits.
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:28 INFO org.apache.beam.runners.spark.translation.SparkContextFactory: Creating a brand new Spark Context.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:28 WARN org.apache.hadoop.util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.util.log: Logging initialized @4677ms to org.sparkproject.jetty.util.log.Slf4jLog
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.Server: jetty-9.4.40.v20210413; built: 2021-04-13T20:42:42.668Z; git: b881a572662e1943a14ae12e7e1207989f218b74; jvm 1.8.0_352-8u352-ga-1~20.04-b08
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.Server: Started @4890ms
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.AbstractConnector: Started ServerConnector@621f7ee{HTTP/1.1, (http/1.1)}{127.0.0.1:4040}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@13157cfc{/jobs,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@56be5db5{/jobs/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@540eda74{/jobs/job,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@4083dd19{/jobs/job/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@321772a9{/stages,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@25cda904{/stages/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2dab27e7{/stages/stage,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@c5f8cd5{/stages/stage/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2c46f4e0{/stages/pool,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5c715fec{/stages/pool/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@9780183{/storage,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@31ca3e80{/storage/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7a4149b5{/storage/rdd,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@6963d35e{/storage/rdd/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@4ba368bf{/environment,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5be16f16{/environment/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@4c5bc8ca{/executors,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@4dab6cc2{/executors/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2ed31c2b{/executors/threadDump,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@34ab12b7{/executors/threadDump/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5adcda2a{/static,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@547bd0f2{/,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@10145373{/api,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2c42838c{/jobs/job/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@42ad7883{/stages/stage/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@546a3ac7{/metrics/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.apache.beam.runners.spark.metrics.MetricsAccumulator: Instantiated metrics accumulator: MetricQueryResults()
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:29 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Running job BeamApp-jenkins-1215211627-178f84d8_06e5a322-ebad-475b-856b-0de34e795295 on Spark master local[4]
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:30 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.runners.worker.statecache:Creating state cache with size 0
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure control channel for localhost:40251.
INFO:apache_beam.runners.worker.sdk_worker:Control channel established.
INFO:apache_beam.runners.worker.sdk_worker:Initializing SDKHarness with unbounded number of workers.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: Beam Fn Control client connected with id 1-1
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-2
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure state channel for localhost:39071.
INFO:apache_beam.runners.worker.sdk_worker:State channel established.
INFO:apache_beam.runners.worker.data_plane:Creating client data channel for localhost:44727
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 INFO org.apache.beam.runners.fnexecution.data.GrpcDataService: Beam Fn Data client connected.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-3
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-4
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-5
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:31 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-6
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-8
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-7
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-9
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-10
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-11
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-12
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-13
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-14
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-15
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Job BeamApp-jenkins-1215211627-178f84d8_06e5a322-ebad-475b-856b-0de34e795295: Pipeline translated successfully. Computing outputs
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-16
INFO:apache_beam.io.filebasedsink:Starting finalize_write threads with num_shards: 4 (skipped: 0), batches: 4, num_threads: 4
INFO:apache_beam.io.filebasedsink:Renamed 4 shards in 0.01 seconds.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Job BeamApp-jenkins-1215211627-178f84d8_06e5a322-ebad-475b-856b-0de34e795295 finished.
INFO:apache_beam.utils.subprocess_server:22/12/15 21:16:32 INFO org.sparkproject.jetty.server.AbstractConnector: Stopped Spark@621f7ee{HTTP/1.1, (http/1.1)}{127.0.0.1:4040}
INFO:apache_beam.runners.portability.portable_runner:Job state changed to DONE
Exception in thread read_state:
Traceback (most recent call last):
File "/usr/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
Exception in thread run_worker_1-1:
Traceback (most recent call last):
File "/usr/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
self.run()
File "/usr/lib/python3.10/threading.py", line 946, in run
self.run()
ERROR:apache_beam.runners.worker.data_plane:Failed to read inputs in the data plane.
Traceback (most recent call last):
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py",> line 654, in _read_inputs
for elements in elements_iterator:
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
return self._next()
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "recvmsg:Connection reset by peer"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:44727 {grpc_message:"recvmsg:Connection reset by peer", grpc_status:14, created_time:"2022-12-15T21:16:33.200241457+00:00"}"
>
File "/usr/lib/python3.10/threading.py", line 946, in run
self._target(*self._args, **self._kwargs)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/sdk_worker.py",> line 254, in run
Exception in thread read_grpc_client_inputs:
Traceback (most recent call last):
self._target(*self._args, **self._kwargs)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/sdk_worker.py",> line 1006, in pull_responses
File "/usr/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
for work_request in self._control_stub.Control(get_responses()):
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
for response in responses:
self.run()
File "/usr/lib/python3.10/threading.py", line 946, in run
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
return self._next()
self._target(*self._args, **self._kwargs)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py",> line 671, in <lambda>
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
return self._next()
target=lambda: self._read_inputs(elements_iterator),
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py",> line 654, in _read_inputs
raise self
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "recvmsg:Connection reset by peer"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:40251 {created_time:"2022-12-15T21:16:33.200270319+00:00", grpc_status:14, grpc_message:"recvmsg:Connection reset by peer"}"
>grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "recvmsg:Connection reset by peer"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:39071 {created_time:"2022-12-15T21:16:33.200243521+00:00", grpc_status:14, grpc_message:"recvmsg:Connection reset by peer"}"
>
for elements in elements_iterator:
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
return self._next()
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "recvmsg:Connection reset by peer"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:44727 {grpc_message:"recvmsg:Connection reset by peer", grpc_status:14, created_time:"2022-12-15T21:16:33.200241457+00:00"}"
>
> Task :sdks:python:test-suites:portable:py310:postCommitPy310
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT
warning: sdist: standard file not found: should have one of README, README.rst, README.txt, README.md
warning: check: missing required meta-data: url
warning: check: missing meta-data: either (author and author_email) or (maintainer and maintainer_email) should be supplied
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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 3h 42m 32s
203 actionable tasks: 139 executed, 58 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/p5lg2abibwuta
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_PostCommit_Python310 #232
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python310/232/display/redirect?page=changes>
Changes:
[noreply] [Playground] notebook url backend API (#24425)
------------------------------------------
[...truncated 10.40 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_file_loads_test.py: 3 warnings
apache_beam/io/gcp/bigquery_test.py: 6 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_Python310/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_file_loads_test.py: 3 warnings
apache_beam/io/gcp/bigquery_test.py: 6 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_Python310/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/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_Python310/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_Python310/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/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
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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
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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_Python310/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_Python310/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
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table_ref = client.dataset(dataset_id).table(table_id)
apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
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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
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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
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p.options.view_as(GoogleCloudOptions).temp_location or
apache_beam/io/gcp/bigquery_test.py::BigQueryStreamingInsertTransformIntegrationTests::test_multiple_destinations_transform
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streaming = self.test_pipeline.options.view_as(StandardOptions).streaming
apache_beam/io/gcp/bigquery_read_it_test.py::ReadTests::test_native_source
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beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
apache_beam/ml/gcp/cloud_dlp_it_test.py::CloudDLPIT::test_deidentification
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| MaskDetectedDetails(
apache_beam/ml/gcp/cloud_dlp_it_test.py::CloudDLPIT::test_inspection
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| InspectForDetails(
apache_beam/ml/inference/sklearn_inference_it_test.py::SklearnInference::test_sklearn_regression
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model_loader = SklearnModelHandlerPandas(
apache_beam/ml/inference/sklearn_inference_it_test.py::SklearnInference::test_sklearn_regression
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obj = StockUnpickler.load(self)
apache_beam/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_native_source
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beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
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| beam.io.ReadAllFromBigQuery())
apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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
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project = pcoll.pipeline.options.view_as(GoogleCloudOptions).project
apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
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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_Python310/ws/src/sdks/python/pytest_postCommitIT-df-py310.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=total_values), labels={}), committed=100, attempted=100)\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=, metric=MetricName(namespace=dataflow/v1b3, name=TotalVcpuTime), labels={'original_name': 'Service-cpu_num_seconds'}), committed=959, attempted=959)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3928825, attempted=3928825)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=11989, attempted=11989)\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-2022-12-15_08_56_05-14534636088585180686/phases/graph_runner/step-invocations/F16-invoke-2444717776782666009/map-tasks-completion/map-tasks', 'execution_step': 'F16'}), committed=1, attempted=1)\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/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=ElementCount), labels={'output_user_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0', 'original_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0-ElementCount'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, 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attempted=46)\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/ReshufflePerKey/Map(reify_timestamps), 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/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), 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'dax_workflow_stage_progress_/workflows/wf-2022-12-15_08_56_05-14534636088585180686/phases/graph_runner/step-invocations/F15-invoke-2444717776782663697/map-tasks-completion/map-tasks', 'execution_step': 'F15'}), committed=1, attempted=1)\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=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-ElementCount'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-MeanByteCount'}), committed=14, attempted=14)\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={'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'metrics-out0', 'original_name': 'metrics-out0-MeanByteCount'}), committed=14, attempted=14)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)\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={'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': '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=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={'output_user_name': 'Create/Map(decode)-out0', 'original_name': 'Create/Map(decode)-out0-MeanByteCount'}), committed=14, attempted=14)\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_StartBundle), labels={}), committed=0, attempted=0)\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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=1000, attempted=1000)\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=946, attempted=946)\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=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_ProcessElement), 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=map_to_common_key, 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/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\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=map_to_common_key, 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_FinishBundle), 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-2022-12-15_08_56_05-14534636088585180686/phases/graph_runner/step-invocations/F14-invoke-2444717776782664589/map-tasks-completion/map-tasks', 'execution_step': 'F14'}), committed=1, attempted=1)\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=ElementCount), labels={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'm_out-out0', 'original_name': 'm_out-out0-MeanByteCount'}), committed=15, attempted=15)\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=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), 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_ProcessElement), 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=total_values), labels={}), committed=100, attempted=100)
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=, metric=MetricName(namespace=dataflow/v1b3, name=TotalVcpuTime), labels={'original_name': 'Service-cpu_num_seconds'}), committed=959, attempted=959)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3928825, attempted=3928825)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=11989, attempted=11989)
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-2022-12-15_08_56_05-14534636088585180686/phases/graph_runner/step-invocations/F16-invoke-2444717776782666009/map-tasks-completion/map-tasks', 'execution_step': 'F16'}), committed=1, attempted=1)
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/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=ElementCount), labels={'output_user_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0', 'original_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0-ElementCount'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=19, attempted=19)
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/AddRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-ElementCount'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/Impulse-out0-ElementCount', 'output_user_name': 'Create/Impulse-out0'}), committed=1, attempted=1)
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=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/GroupByKey/Reify-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0'}), committed=46, attempted=46)
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/ReshufflePerKey/Map(reify_timestamps), 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/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/AddRandomKeys, 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/FlatMap(<lambda at core.py:3507>), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), 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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-15_08_56_05-14534636088585180686/phases/graph_runner/step-invocations/F15-invoke-2444717776782663697/map-tasks-completion/map-tasks', 'execution_step': 'F15'}), committed=1, attempted=1)
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=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-ElementCount'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-MeanByteCount'}), committed=14, attempted=14)
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={'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'metrics-out0', 'original_name': 'metrics-out0-MeanByteCount'}), committed=14, attempted=14)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)
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={'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': '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=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={'output_user_name': 'Create/Map(decode)-out0', 'original_name': 'Create/Map(decode)-out0-MeanByteCount'}), committed=14, attempted=14)
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_StartBundle), labels={}), committed=0, attempted=0)
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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=1000, attempted=1000)
MetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=946, attempted=946)
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=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_ProcessElement), 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=map_to_common_key, 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/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)
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=map_to_common_key, 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_FinishBundle), 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-2022-12-15_08_56_05-14534636088585180686/phases/graph_runner/step-invocations/F14-invoke-2444717776782664589/map-tasks-completion/map-tasks', 'execution_step': 'F14'}), committed=1, attempted=1)
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=ElementCount), labels={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'm_out-out0', 'original_name': 'm_out-out0-MeanByteCount'}), committed=15, attempted=15)
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=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), 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_ProcessElement), labels={}), committed=0, attempted=0)
[31m===== [31m[1m1 failed[0m, [32m85 passed[0m, [33m19 skipped[0m, [33m664 warnings[0m[31m in 13331.04s (3:42:11)[0m[31m =====[0m
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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 3h 44m 33s
203 actionable tasks: 140 executed, 57 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/5xd25s36uabmw
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_PostCommit_Python310 #231
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python310/231/display/redirect?page=changes>
Changes:
[noreply] Show error messages when Playground requests fail (#24033) (#24338)
[noreply] Gradle tasks to start playground locally (#23939) (#23941)
------------------------------------------
[...truncated 10.37 MB...]
dataset_ref = client.dataset(unique_dataset_name, project=project)
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beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
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beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
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| beam.io.ReadAllFromBigQuery())
apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
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[36m[1m=========================== short test summary info ============================[0m
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committed=19, attempted=19)\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/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_StartBundle), 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=Create/MaybeReshuffle/Reshuffle/AddRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\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_FinishBundle), 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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-15_02_41_25-11425381341403025050/phases/graph_runner/step-invocations/F15-invoke-14368253144874499243/map-tasks-completion/map-tasks', 'execution_step': 'F15'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount'}), committed=19, attempted=19)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/Map(decode)-out0-MeanByteCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=14, attempted=14)\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': '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': '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=, 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={'original_name': 'map_to_common_key-out0-ElementCount', 'output_user_name': 'map_to_common_key-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-ElementCount'}), committed=4, attempted=4)\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=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={'original_name': 'map_to_common_key-out0-MeanByteCount', 'output_user_name': 'map_to_common_key-out0'}), committed=18, attempted=18)\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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=946, attempted=946)\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=map_to_common_key, 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_StartBundle), 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=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=3992, attempted=3992)\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_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=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, 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_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=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), 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-2022-12-15_02_41_25-11425381341403025050/phases/graph_runner/step-invocations/F14-invoke-14368253144874496103/map-tasks-completion/map-tasks'}), committed=1, attempted=1)\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={'original_name': 'm_out-out0-ElementCount', 'output_user_name': 'm_out-out0'}), committed=5, attempted=5)\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={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), 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=total_values), labels={}), committed=100, attempted=100)
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=, metric=MetricName(namespace=dataflow/v1b3, name=TotalVcpuTime), labels={'original_name': 'Service-cpu_num_seconds'}), committed=895, attempted=895)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3666232, attempted=3666232)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=11188, attempted=11188)
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={'execution_step': 'F16', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-15_02_41_25-11425381341403025050/phases/graph_runner/step-invocations/F16-invoke-14368253144874497331/map-tasks-completion/map-tasks'}), committed=1, attempted=1)
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={'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/Impulse-out0-MeanByteCount', 'output_user_name': 'Create/Impulse-out0'}), committed=13, attempted=13)
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=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={'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=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/Impulse-out0-ElementCount', 'output_user_name': 'Create/Impulse-out0'}), committed=1, attempted=1)
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={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-MeanByteCount'}), committed=19, attempted=19)
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/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_StartBundle), 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=Create/MaybeReshuffle/Reshuffle/AddRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)
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_FinishBundle), 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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-15_02_41_25-11425381341403025050/phases/graph_runner/step-invocations/F15-invoke-14368253144874499243/map-tasks-completion/map-tasks', 'execution_step': 'F15'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount'}), committed=19, attempted=19)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/Map(decode)-out0-MeanByteCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=14, attempted=14)
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': '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': '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=, 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={'original_name': 'map_to_common_key-out0-ElementCount', 'output_user_name': 'map_to_common_key-out0'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-ElementCount'}), committed=4, attempted=4)
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=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={'original_name': 'map_to_common_key-out0-MeanByteCount', 'output_user_name': 'map_to_common_key-out0'}), committed=18, attempted=18)
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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=946, attempted=946)
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=map_to_common_key, 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_StartBundle), 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=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=3992, attempted=3992)
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_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=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, 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_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=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), 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-2022-12-15_02_41_25-11425381341403025050/phases/graph_runner/step-invocations/F14-invoke-14368253144874496103/map-tasks-completion/map-tasks'}), committed=1, attempted=1)
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={'original_name': 'm_out-out0-ElementCount', 'output_user_name': 'm_out-out0'}), committed=5, attempted=5)
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={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), 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, [33m664 warnings[0m[31m in 15302.63s (4:15:02)[0m[31m =====[0m
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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 17m 20s
203 actionable tasks: 139 executed, 58 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/6ahoxttzecihc
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_PostCommit_Python310 #230
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python310/230/display/redirect>
Changes:
------------------------------------------
[...truncated 7.04 MB...]
thread: "MainThread"
INFO:root:severity: INFO
timestamp {
seconds: 1671074153
nanos: 701335668
}
message: "Done consuming work."
log_location: "/usr/local/lib/python3.10/site-packages/apache_beam/runners/worker/sdk_worker.py:277"
thread: "MainThread"
INFO:root:severity: INFO
timestamp {
seconds: 1671074153
nanos: 701438426
}
message: "Python sdk harness exiting."
log_location: "/usr/local/lib/python3.10/site-packages/apache_beam/runners/worker/sdk_worker_main.py:188"
thread: "MainThread"
INFO:apache_beam.runners.portability.local_job_service:Completed job in 14.273282289505005 seconds with state DONE.
INFO:root:Completed job in 14.273282289505005 seconds with state DONE.
INFO:apache_beam.runners.portability.portable_runner:Job state changed to DONE
> Task :sdks:python:test-suites:portable:py310:portableWordCountSparkRunnerBatch
INFO:apache_beam.runners.worker.worker_pool_main:Listening for workers at localhost:36317
INFO:root:Default Python SDK image for environment is apache/beam_python3.10_sdk:2.45.0.dev
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7fcb8ebf3f40> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function lift_combiners at 0x7fcb8ebf4040> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fcb8ebf4790> ====================
INFO:apache_beam.utils.subprocess_server:Starting service with ['java' '-jar' '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/runners/spark/3/job-server/build/libs/beam-runners-spark-3-job-server-2.45.0-SNAPSHOT.jar'> '--spark-master-url' 'local[4]' '--artifacts-dir' '/tmp/beam-temprs0sy1fm/artifacts3sm6mu8u' '--job-port' '52185' '--artifact-port' '0' '--expansion-port' '0']
INFO:apache_beam.utils.subprocess_server:22/12/15 03:15:59 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:15:59 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: ArtifactStagingService started on localhost:46391
INFO:apache_beam.utils.subprocess_server:22/12/15 03:15:59 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: Java ExpansionService started on localhost:39211
INFO:apache_beam.utils.subprocess_server:22/12/15 03:15:59 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: JobService started on localhost:52185
INFO:apache_beam.utils.subprocess_server:22/12/15 03:15:59 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: Job server now running, terminate with Ctrl+C
INFO:apache_beam.utils.subprocess_server:22/12/15 03:15:59 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Staging artifacts for job_704b0ea2-ca67-49fd-b144-9662848f8e69.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:15:59 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Resolving artifacts for job_704b0ea2-ca67-49fd-b144-9662848f8e69.ref_Environment_default_environment_1.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:15:59 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Getting 1 artifacts for job_704b0ea2-ca67-49fd-b144-9662848f8e69.null.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:15:59 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Artifacts fully staged for job_704b0ea2-ca67-49fd-b144-9662848f8e69.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:00 INFO org.apache.beam.runners.spark.SparkJobInvoker: Invoking job BeamApp-jenkins-1215031600-63bc314c_5bba9ccd-6709-489c-8749-3ff14a05b353
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:00 INFO org.apache.beam.runners.jobsubmission.JobInvocation: Starting job invocation BeamApp-jenkins-1215031600-63bc314c_5bba9ccd-6709-489c-8749-3ff14a05b353
INFO:apache_beam.runners.portability.portable_runner:Environment "LOOPBACK" has started a component necessary for the execution. Be sure to run the pipeline using
with Pipeline() as p:
p.apply(..)
This ensures that the pipeline finishes before this program exits.
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:00 INFO org.apache.beam.runners.spark.translation.SparkContextFactory: Creating a brand new Spark Context.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:00 WARN org.apache.hadoop.util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.util.log: Logging initialized @4489ms to org.sparkproject.jetty.util.log.Slf4jLog
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.Server: jetty-9.4.40.v20210413; built: 2021-04-13T20:42:42.668Z; git: b881a572662e1943a14ae12e7e1207989f218b74; jvm 1.8.0_352-8u352-ga-1~20.04-b08
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.Server: Started @4705ms
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.AbstractConnector: Started ServerConnector@768c97e2{HTTP/1.1, (http/1.1)}{127.0.0.1:4040}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@558840c3{/jobs,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@1f8f9160{/jobs/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@51448eb{/jobs/job,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@3ea239fa{/jobs/job/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@1e335e33{/stages,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@6931e020{/stages/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@47658c87{/stages/stage,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@48ec7afd{/stages/stage/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@187644dd{/stages/pool,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@26a80f0e{/stages/pool/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@4dd675f2{/storage,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@632e52cb{/storage/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@1e2d7c6f{/storage/rdd,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@4d3613c4{/storage/rdd/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@f731229{/environment,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@534c4cff{/environment/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@78758c91{/executors,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@29800a16{/executors/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@1363f3fc{/executors/threadDump,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@76fece74{/executors/threadDump/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@aac7b04{/static,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@35322a0{/,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5f430aa2{/api,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@1ba3c1{/jobs/job/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:01 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@6bcb0f25{/stages/stage/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:02 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@64d282d5{/metrics/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:02 INFO org.apache.beam.runners.spark.metrics.MetricsAccumulator: Instantiated metrics accumulator: MetricQueryResults()
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:02 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:02 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Running job BeamApp-jenkins-1215031600-63bc314c_5bba9ccd-6709-489c-8749-3ff14a05b353 on Spark master local[4]
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:03 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:03 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:03 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:03 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.runners.worker.statecache:Creating state cache with size 0
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure control channel for localhost:43505.
INFO:apache_beam.runners.worker.sdk_worker:Control channel established.
INFO:apache_beam.runners.worker.sdk_worker:Initializing SDKHarness with unbounded number of workers.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:03 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: Beam Fn Control client connected with id 1-1
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:03 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-2
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure state channel for localhost:40071.
INFO:apache_beam.runners.worker.sdk_worker:State channel established.
INFO:apache_beam.runners.worker.data_plane:Creating client data channel for localhost:36359
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:03 INFO org.apache.beam.runners.fnexecution.data.GrpcDataService: Beam Fn Data client connected.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:03 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-3
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:03 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:03 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:03 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:03 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-4
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-5
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-8
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-6
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-9
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-7
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-10
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-11
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-12
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-13
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-14
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-15
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Job BeamApp-jenkins-1215031600-63bc314c_5bba9ccd-6709-489c-8749-3ff14a05b353: Pipeline translated successfully. Computing outputs
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-16
INFO:apache_beam.io.filebasedsink:Starting finalize_write threads with num_shards: 4 (skipped: 0), batches: 4, num_threads: 4
INFO:apache_beam.io.filebasedsink:Renamed 4 shards in 0.01 seconds.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Job BeamApp-jenkins-1215031600-63bc314c_5bba9ccd-6709-489c-8749-3ff14a05b353 finished.
INFO:apache_beam.utils.subprocess_server:22/12/15 03:16:04 INFO org.sparkproject.jetty.server.AbstractConnector: Stopped Spark@768c97e2{HTTP/1.1, (http/1.1)}{127.0.0.1:4040}
INFO:apache_beam.runners.portability.portable_runner:Job state changed to DONE
Exception in thread read_state:
Exception in thread run_worker_1-1:
Traceback (most recent call last):
Traceback (most recent call last):
File "/usr/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
File "/usr/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
self.run()
File "/usr/lib/python3.10/threading.py", line 946, in run
self.run()
ERROR:apache_beam.runners.worker.data_plane:Failed to read inputs in the data plane.
Traceback (most recent call last):
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py",> line 654, in _read_inputs
for elements in elements_iterator:
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
return self._next()
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:36359 {grpc_message:"Socket closed", grpc_status:14, created_time:"2022-12-15T03:16:05.440885274+00:00"}"
>
File "/usr/lib/python3.10/threading.py", line 946, in run
self._target(*self._args, **self._kwargs)
Exception in thread read_grpc_client_inputs:
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/sdk_worker.py",> line 1006, in pull_responses
Traceback (most recent call last):
self._target(*self._args, **self._kwargs)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/sdk_worker.py",> line 254, in run
File "/usr/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
for response in responses:
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
self.run()
for work_request in self._control_stub.Control(get_responses()):
File "/usr/lib/python3.10/threading.py", line 946, in run
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
return self._next()
self._target(*self._args, **self._kwargs)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py",> line 671, in <lambda>
return self._next()
raise self
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
target=lambda: self._read_inputs(elements_iterator),
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "recvmsg:Connection reset by peer"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:40071 {grpc_message:"recvmsg:Connection reset by peer", grpc_status:14, created_time:"2022-12-15T03:16:05.44087857+00:00"}"
>
raise self
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py",> line 654, in _read_inputs
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "recvmsg:Connection reset by peer"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:43505 {created_time:"2022-12-15T03:16:05.440903137+00:00", grpc_status:14, grpc_message:"recvmsg:Connection reset by peer"}"
>
for elements in elements_iterator:
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
return self._next()
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:36359 {grpc_message:"Socket closed", grpc_status:14, created_time:"2022-12-15T03:16:05.440885274+00:00"}"
>
> Task :sdks:python:test-suites:portable:py310:postCommitPy310
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT
warning: sdist: standard file not found: should have one of README, README.rst, README.txt, README.md
warning: check: missing required meta-data: url
warning: check: missing meta-data: either (author and author_email) or (maintainer and maintainer_email) should be supplied
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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 3h 46m 53s
203 actionable tasks: 139 executed, 58 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/oxpfe5fsfcyf4
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_PostCommit_Python310 #229
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python310/229/display/redirect?page=changes>
Changes:
[noreply] [CdapIO] Complete examples for CDAP ServiceNow plugins (#24590)
[noreply] [19734] Delete WatchTest.testMultiplePollsWithManyResults test (#24644)
[noreply] [Go SDK] RunInference wrapper supporting Sklearn Model Handler (#24497)
------------------------------------------
[...truncated 4.82 MB...]
thread: "MainThread"
INFO:root:severity: INFO
timestamp {
seconds: 1671052699
nanos: 142658710
}
message: "Done consuming work."
log_location: "/usr/local/lib/python3.10/site-packages/apache_beam/runners/worker/sdk_worker.py:277"
thread: "MainThread"
INFO:root:severity: INFO
timestamp {
seconds: 1671052699
nanos: 142802238
}
message: "Python sdk harness exiting."
log_location: "/usr/local/lib/python3.10/site-packages/apache_beam/runners/worker/sdk_worker_main.py:188"
thread: "MainThread"
INFO:apache_beam.runners.portability.local_job_service:Completed job in 14.336910724639893 seconds with state DONE.
INFO:root:Completed job in 14.336910724639893 seconds with state DONE.
INFO:apache_beam.runners.portability.portable_runner:Job state changed to DONE
> Task :sdks:python:test-suites:portable:py310:portableWordCountSparkRunnerBatch
INFO:apache_beam.runners.worker.worker_pool_main:Listening for workers at localhost:39187
INFO:root:Default Python SDK image for environment is apache/beam_python3.10_sdk:2.45.0.dev
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f065312ff40> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function lift_combiners at 0x7f0653130040> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f0653130790> ====================
INFO:apache_beam.utils.subprocess_server:Starting service with ['java' '-jar' '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/runners/spark/3/job-server/build/libs/beam-runners-spark-3-job-server-2.45.0-SNAPSHOT.jar'> '--spark-master-url' 'local[4]' '--artifacts-dir' '/tmp/beam-tempxgg8a18j/artifactsndpmrnhd' '--job-port' '49643' '--artifact-port' '0' '--expansion-port' '0']
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:24 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:25 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: ArtifactStagingService started on localhost:39159
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:25 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: Java ExpansionService started on localhost:45899
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:25 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: JobService started on localhost:49643
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:25 INFO org.apache.beam.runners.jobsubmission.JobServerDriver: Job server now running, terminate with Ctrl+C
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:25 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Staging artifacts for job_937d7adc-8bae-4339-9328-c07295fd20d8.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:25 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Resolving artifacts for job_937d7adc-8bae-4339-9328-c07295fd20d8.ref_Environment_default_environment_1.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:25 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Getting 1 artifacts for job_937d7adc-8bae-4339-9328-c07295fd20d8.null.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:25 INFO org.apache.beam.runners.fnexecution.artifact.ArtifactStagingService: Artifacts fully staged for job_937d7adc-8bae-4339-9328-c07295fd20d8.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:25 INFO org.apache.beam.runners.spark.SparkJobInvoker: Invoking job BeamApp-jenkins-1214211825-fb376b45_810bd358-4790-4be2-a501-36487788f0f0
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:25 INFO org.apache.beam.runners.jobsubmission.JobInvocation: Starting job invocation BeamApp-jenkins-1214211825-fb376b45_810bd358-4790-4be2-a501-36487788f0f0
INFO:apache_beam.runners.portability.portable_runner:Environment "LOOPBACK" has started a component necessary for the execution. Be sure to run the pipeline using
with Pipeline() as p:
p.apply(..)
This ensures that the pipeline finishes before this program exits.
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to RUNNING
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:26 INFO org.apache.beam.runners.spark.translation.SparkContextFactory: Creating a brand new Spark Context.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:26 WARN org.apache.hadoop.util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.util.log: Logging initialized @4501ms to org.sparkproject.jetty.util.log.Slf4jLog
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.Server: jetty-9.4.40.v20210413; built: 2021-04-13T20:42:42.668Z; git: b881a572662e1943a14ae12e7e1207989f218b74; jvm 1.8.0_352-8u352-ga-1~20.04-b08
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.Server: Started @4723ms
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.AbstractConnector: Started ServerConnector@69eb968e{HTTP/1.1, (http/1.1)}{127.0.0.1:4040}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@46ea2f90{/jobs,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@734536ac{/jobs/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7fae6fd7{/jobs/job,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@268c27df{/jobs/job/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@214418ca{/stages,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@626fcce5{/stages/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@4837a746{/stages/stage,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@3be21094{/stages/stage/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@95df9d{/stages/pool,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@31c4af5f{/stages/pool/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@69e302aa{/storage,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2cc01393{/storage/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@38a1cc57{/storage/rdd,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7bb85df9{/storage/rdd/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@379d7632{/environment,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@1da83e7d{/environment/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@6fe3cc0{/executors,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@49e801b0{/executors/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@134e91f5{/executors/threadDump,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@73d15c72{/executors/threadDump/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7df395d2{/static,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@7bff983e{/,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@47e58369{/api,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@3771d734{/jobs/job/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@3160ef8d{/stages/stage/kill,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.sparkproject.jetty.server.handler.ContextHandler: Started o.s.j.s.ServletContextHandler@ce6d302{/metrics/json,null,AVAILABLE,@Spark}
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.apache.beam.runners.spark.metrics.MetricsAccumulator: Instantiated metrics accumulator: MetricQueryResults()
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:27 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Running job BeamApp-jenkins-1214211825-fb376b45_810bd358-4790-4be2-a501-36487788f0f0 on Spark master local[4]
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:28 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:28 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:28 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:28 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.runners.worker.statecache:Creating state cache with size 0
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure control channel for localhost:45455.
INFO:apache_beam.runners.worker.sdk_worker:Control channel established.
INFO:apache_beam.runners.worker.sdk_worker:Initializing SDKHarness with unbounded number of workers.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:29 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: Beam Fn Control client connected with id 1-1
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:29 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-2
INFO:apache_beam.runners.worker.sdk_worker:Creating insecure state channel for localhost:34899.
INFO:apache_beam.runners.worker.sdk_worker:State channel established.
INFO:apache_beam.runners.worker.data_plane:Creating client data channel for localhost:36637
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:29 INFO org.apache.beam.runners.fnexecution.data.GrpcDataService: Beam Fn Data client connected.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:29 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-3
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:29 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:29 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:29 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:29 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
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INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:29 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-5
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:29 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:29 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:29 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:29 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-8
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-6
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-7
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INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-10
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-13
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-12
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INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
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INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-15
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Job BeamApp-jenkins-1214211825-fb376b45_810bd358-4790-4be2-a501-36487788f0f0: Pipeline translated successfully. Computing outputs
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 WARN software.amazon.awssdk.regions.internal.util.EC2MetadataUtils: Unable to retrieve the requested metadata.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 INFO org.apache.beam.runners.fnexecution.control.FnApiControlClientPoolService: getProcessBundleDescriptor request with id 1-16
INFO:apache_beam.io.filebasedsink:Starting finalize_write threads with num_shards: 4 (skipped: 0), batches: 4, num_threads: 4
INFO:apache_beam.io.filebasedsink:Renamed 4 shards in 0.01 seconds.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 INFO org.apache.beam.runners.spark.SparkPipelineRunner: Job BeamApp-jenkins-1214211825-fb376b45_810bd358-4790-4be2-a501-36487788f0f0 finished.
INFO:apache_beam.utils.subprocess_server:22/12/14 21:18:30 INFO org.sparkproject.jetty.server.AbstractConnector: Stopped Spark@69eb968e{HTTP/1.1, (http/1.1)}{127.0.0.1:4040}
INFO:apache_beam.runners.portability.portable_runner:Job state changed to DONE
Exception in thread read_state:
Traceback (most recent call last):
File "/usr/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
Exception in thread run_worker_1-1:
Traceback (most recent call last):
File "/usr/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
self.run()
File "/usr/lib/python3.10/threading.py", line 946, in run
self.run()
File "/usr/lib/python3.10/threading.py", line 946, in run
self._target(*self._args, **self._kwargs)
ERROR:apache_beam.runners.worker.data_plane:Failed to read inputs in the data plane.
Traceback (most recent call last):
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py",> line 654, in _read_inputs
for elements in elements_iterator:
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
return self._next()
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "recvmsg:Connection reset by peer"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:36637 {grpc_message:"recvmsg:Connection reset by peer", grpc_status:14, created_time:"2022-12-14T21:18:31.180798084+00:00"}"
>
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/sdk_worker.py",> line 1006, in pull_responses
self._target(*self._args, **self._kwargs)
Exception in thread read_grpc_client_inputs:
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/sdk_worker.py",> line 254, in run
Traceback (most recent call last):
File "/usr/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
self.run()
for work_request in self._control_stub.Control(get_responses()):
File "/usr/lib/python3.10/threading.py", line 946, in run
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
for response in responses:
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
return self._next()
self._target(*self._args, **self._kwargs)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py",> line 671, in <lambda>
return self._next()
raise self
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:45455 {created_time:"2022-12-14T21:18:31.180798203+00:00", grpc_status:14, grpc_message:"Socket closed"}"
>
target=lambda: self._read_inputs(elements_iterator),
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/apache_beam/runners/worker/data_plane.py",> line 654, in _read_inputs
raise self
for elements in elements_iterator:
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 426, in __next__
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "recvmsg:Connection reset by peer"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:34899 {grpc_message:"recvmsg:Connection reset by peer", grpc_status:14, created_time:"2022-12-14T21:18:31.18079492+00:00"}"
>
return self._next()
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/build/gradleenv/-1720702907/lib/python3.10/site-packages/grpc/_channel.py",> line 826, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "recvmsg:Connection reset by peer"
debug_error_string = "UNKNOWN:Error received from peer ipv6:%5B::1%5D:36637 {grpc_message:"recvmsg:Connection reset by peer", grpc_status:14, created_time:"2022-12-14T21:18:31.180798084+00:00"}"
>
> Task :sdks:python:test-suites:portable:py310:postCommitPy310
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT
warning: sdist: standard file not found: should have one of README, README.rst, README.txt, README.md
warning: check: missing required meta-data: url
warning: check: missing meta-data: either (author and author_email) or (maintainer and maintainer_email) should be supplied
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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 3h 40m 55s
203 actionable tasks: 139 executed, 58 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/ddktpetjxs6f4
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_PostCommit_Python310 #228
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python310/228/display/redirect?page=changes>
Changes:
[bulatkazan] [Website] fix join beam page mobile layout #24611
[noreply] [Playground] parse url_notebook example tag (#24402)
------------------------------------------
[...truncated 10.41 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/io/gcp/bigquery_file_loads_test.py: 3 warnings
apache_beam/examples/complete/game/leader_board_it_test.py: 2 warnings
apache_beam/io/gcp/big_query_query_to_table_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_test.py: 6 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_json_it_test.py: 2 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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/io/gcp/bigquery_file_loads_test.py: 3 warnings
apache_beam/examples/complete/game/leader_board_it_test.py: 2 warnings
apache_beam/io/gcp/big_query_query_to_table_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_test.py: 6 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_json_it_test.py: 2 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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/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_Python310/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_Python310/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/cookbook/bigquery_tornadoes_it_test.py: 1 warning
apache_beam/io/gcp/big_query_query_to_table_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_test.py: 2 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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/big_query_query_to_table_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 3 warnings
apache_beam/io/gcp/bigquery_test.py: 3 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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/big_query_query_to_table_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 3 warnings
apache_beam/io/gcp/bigquery_test.py: 3 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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/big_query_query_to_table_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 3 warnings
apache_beam/io/gcp/bigquery_test.py: 3 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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
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apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
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return airline_df[at_top_airports].mean()
apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
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apache_beam/examples/dataframe/taxiride_it_test.py::TaxirideIT::test_enrich
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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
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p.options.view_as(GoogleCloudOptions).temp_location or
apache_beam/io/gcp/bigquery_test.py::BigQueryStreamingInsertTransformIntegrationTests::test_multiple_destinations_transform
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streaming = self.test_pipeline.options.view_as(StandardOptions).streaming
apache_beam/io/gcp/bigquery_read_it_test.py::ReadTests::test_native_source
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beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
apache_beam/ml/gcp/cloud_dlp_it_test.py::CloudDLPIT::test_deidentification
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| MaskDetectedDetails(
apache_beam/ml/gcp/cloud_dlp_it_test.py::CloudDLPIT::test_inspection
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| InspectForDetails(
apache_beam/ml/inference/sklearn_inference_it_test.py::SklearnInference::test_sklearn_regression
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model_loader = SklearnModelHandlerPandas(
apache_beam/ml/inference/sklearn_inference_it_test.py::SklearnInference::test_sklearn_regression
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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_Python310/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_Python310/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_Python310/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_Python310/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_Python310/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_Python310/ws/src/sdks/python/pytest_postCommitIT-df-py310.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=total_values), labels={}), committed=100, attempted=100)\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=, metric=MetricName(namespace=dataflow/v1b3, name=TotalVcpuTime), labels={'original_name': 'Service-cpu_num_seconds'}), committed=953, attempted=953)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3906232, attempted=3906232)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=11920, attempted=11920)\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={'execution_step': 'F16', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-14_08_51_28-2564276947839163071/phases/graph_runner/step-invocations/F16-invoke-18043656168454643511/map-tasks-completion/map-tasks'}), 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/AddRandomKeys-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=19, attempted=19)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-MeanByteCount'}), committed=46, attempted=46)\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=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-MeanByteCount'}), committed=27, attempted=27)\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=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/Impulse-out0-ElementCount', 'output_user_name': 'Create/Impulse-out0'}), committed=1, attempted=1)\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_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/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_ProcessElement), 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/FlatMap(<lambda at core.py:3507>), 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_StartBundle), 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/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F15', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-14_08_51_28-2564276947839163071/phases/graph_runner/step-invocations/F15-invoke-18043656168454641583/map-tasks-completion/map-tasks'}), committed=1, attempted=1)\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=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-ElementCount'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'metrics-out0', 'original_name': 'metrics-out0-MeanByteCount'}), committed=14, attempted=14)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount'}), 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=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=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-MeanByteCount'}), committed=14, attempted=14)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/Map(decode)-out0-ElementCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=4, attempted=4)\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=ElementCount), labels={'output_user_name': 'metrics-out0', 'original_name': 'metrics-out0-ElementCount'}), committed=4, attempted=4)\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=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_ProcessElement), 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=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=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), 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=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), 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=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\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/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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=3993, attempted=3993)\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=947, attempted=947)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F14', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-14_08_51_28-2564276947839163071/phases/graph_runner/step-invocations/F14-invoke-18043656168454640619/map-tasks-completion/map-tasks'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'GroupByKey/Read-out0-MeanByteCount', 'output_user_name': 'GroupByKey/Read-out0'}), 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=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=total_values), labels={}), committed=100, attempted=100)
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=, metric=MetricName(namespace=dataflow/v1b3, name=TotalVcpuTime), labels={'original_name': 'Service-cpu_num_seconds'}), committed=953, attempted=953)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3906232, attempted=3906232)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=11920, attempted=11920)
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)
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[31m===== [31m[1m1 failed[0m, [32m85 passed[0m, [33m19 skipped[0m, [33m664 warnings[0m[31m in 13368.74s (3:42:48)[0m[31m =====[0m
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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 3h 45m 10s
203 actionable tasks: 139 executed, 58 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/pumfthtggndye
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Changes:
------------------------------------------
[...truncated 10.41 MB...]
dataset_ref = client.dataset(unique_dataset_name, project=project)
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apache_beam/examples/cookbook/bigquery_tornadoes_it_test.py: 1 warning
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apache_beam/examples/complete/game/leader_board_it_test.py: 2 warnings
apache_beam/io/gcp/bigquery_file_loads_test.py: 3 warnings
apache_beam/io/gcp/bigquery_test.py: 6 warnings
apache_beam/io/gcp/bigquery_json_it_test.py: 2 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 4 warnings
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p.options.view_as(GoogleCloudOptions).job_name or 'AUTOMATIC_JOB_NAME')
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<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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_Python310/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_Python310/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/inference/sklearn_inference_it_test.py::SklearnInference::test_sklearn_regression
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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_Python310/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/dill/_dill.py>:472: FutureWarning: SklearnModelHandlerPandas is experimental. No backwards-compatibility guarantees.
obj = StockUnpickler.load(self)
apache_beam/ml/gcp/cloud_dlp_it_test.py::CloudDLPIT::test_deidentification
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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_Python310/ws/src/sdks/python/apache_beam/ml/gcp/cloud_dlp_it_test.py>:85: FutureWarning: InspectForDetails is experimental.
| InspectForDetails(
apache_beam/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_native_source
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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_Python310/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_Python310/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_Python310/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_Python310/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_Python310/ws/src/sdks/python/pytest_postCommitIT-df-py310.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=989, attempted=989)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=4052416, attempted=4052416)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=12366, attempted=12366)\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-2022-12-14_02_56_49-1199105434425321873/phases/graph_runner/step-invocations/F16-invoke-6755745793415978608/map-tasks-completion/map-tasks', 'execution_step': 'F16'}), committed=1, attempted=1)\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/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=4, attempted=4)\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={'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=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=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/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/Impulse-out0-MeanByteCount', 'output_user_name': 'Create/Impulse-out0'}), committed=13, attempted=13)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-MeanByteCount'}), committed=46, attempted=46)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0'}), committed=4, attempted=4)\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/FlatMap(<lambda at core.py:3507>), 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_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_FinishBundle), labels={}), committed=0, attempted=0)\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/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_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F15', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-14_02_56_49-1199105434425321873/phases/graph_runner/step-invocations/F15-invoke-6755745793415978584/map-tasks-completion/map-tasks'}), committed=1, attempted=1)\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={'original_name': 'metrics-out0-ElementCount', 'output_user_name': 'metrics-out0'}), committed=4, attempted=4)\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=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': '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=MeanByteCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-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/Read-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0'}), committed=49, attempted=49)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'metrics-out0', 'original_name': 'metrics-out0-MeanByteCount'}), committed=14, attempted=14)\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=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=MeanByteCount), labels={'original_name': 'Create/Map(decode)-out0-MeanByteCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=14, attempted=14)\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_ProcessElement), labels={}), committed=3993, attempted=3993)\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=1000, attempted=1000)\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_ProcessElement), 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=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/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/MaybeReshuffle/Reshuffle/RemoveRandomKeys, 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_StartBundle), labels={}), committed=947, attempted=947)\nMetricResult(key=MetricKey(step=Create/Map(decode), 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=map_to_common_key, 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_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-2022-12-14_02_56_49-1199105434425321873/phases/graph_runner/step-invocations/F14-invoke-6755745793415978572/map-tasks-completion/map-tasks'}), committed=1, attempted=1)\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={'output_user_name': 'm_out-out0', 'original_name': 'm_out-out0-MeanByteCount'}), committed=15, attempted=15)\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={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), 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_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), 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=989, attempted=989)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=4052416, attempted=4052416)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=12366, attempted=12366)
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-2022-12-14_02_56_49-1199105434425321873/phases/graph_runner/step-invocations/F16-invoke-6755745793415978608/map-tasks-completion/map-tasks', 'execution_step': 'F16'}), committed=1, attempted=1)
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/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=4, attempted=4)
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={'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=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=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/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/Impulse-out0-MeanByteCount', 'output_user_name': 'Create/Impulse-out0'}), committed=13, attempted=13)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-MeanByteCount'}), committed=46, attempted=46)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0'}), committed=4, attempted=4)
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/FlatMap(<lambda at core.py:3507>), 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_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_FinishBundle), labels={}), committed=0, attempted=0)
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/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_StartBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F15', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-14_02_56_49-1199105434425321873/phases/graph_runner/step-invocations/F15-invoke-6755745793415978584/map-tasks-completion/map-tasks'}), committed=1, attempted=1)
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={'original_name': 'metrics-out0-ElementCount', 'output_user_name': 'metrics-out0'}), committed=4, attempted=4)
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=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': '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=MeanByteCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-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/Read-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0'}), committed=49, attempted=49)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'metrics-out0', 'original_name': 'metrics-out0-MeanByteCount'}), committed=14, attempted=14)
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=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=MeanByteCount), labels={'original_name': 'Create/Map(decode)-out0-MeanByteCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=14, attempted=14)
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_ProcessElement), labels={}), committed=3993, attempted=3993)
MetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=1000, attempted=1000)
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_ProcessElement), 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=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/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/MaybeReshuffle/Reshuffle/RemoveRandomKeys, 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_StartBundle), labels={}), committed=947, attempted=947)
MetricResult(key=MetricKey(step=Create/Map(decode), 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=map_to_common_key, 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_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-2022-12-14_02_56_49-1199105434425321873/phases/graph_runner/step-invocations/F14-invoke-6755745793415978572/map-tasks-completion/map-tasks'}), committed=1, attempted=1)
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={'output_user_name': 'm_out-out0', 'original_name': 'm_out-out0-MeanByteCount'}), committed=15, attempted=15)
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={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), 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_StartBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)
[31m===== [31m[1m1 failed[0m, [32m85 passed[0m, [33m19 skipped[0m, [33m669 warnings[0m[31m in 13121.65s (3:38:41)[0m[31m =====[0m
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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 3h 41m 16s
203 actionable tasks: 139 executed, 58 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/yxll7t5rjkorc
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_PostCommit_Python310 #226
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python310/226/display/redirect?page=changes>
Changes:
[Kenneth Knowles] Eliminate rawtypes from GCP IO
------------------------------------------
[...truncated 10.26 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/big_query_query_to_table_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_test.py: 6 warnings
apache_beam/io/gcp/bigquery_json_it_test.py: 2 warnings
apache_beam/io/gcp/bigquery_file_loads_test.py: 3 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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/big_query_query_to_table_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_test.py: 6 warnings
apache_beam/io/gcp/bigquery_json_it_test.py: 2 warnings
apache_beam/io/gcp/bigquery_file_loads_test.py: 3 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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/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_Python310/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_Python310/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/cookbook/bigquery_tornadoes_it_test.py: 1 warning
apache_beam/io/gcp/big_query_query_to_table_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_write_it_test.py: 4 warnings
apache_beam/io/gcp/bigquery_test.py: 2 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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/big_query_query_to_table_it_test.py: 4 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/bigquery_file_loads_test.py: 3 warnings
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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/big_query_query_to_table_it_test.py: 4 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/bigquery_file_loads_test.py: 3 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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
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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/big_query_query_to_table_it_test.py: 4 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/bigquery_file_loads_test.py: 3 warnings
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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
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table_ref = client.dataset(dataset_id).table(table_id)
apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
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apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
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apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
apache_beam/examples/dataframe/taxiride_it_test.py::TaxirideIT::test_aggregation
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apache_beam/io/gcp/bigquery_test.py::BigQueryStreamingInsertTransformIntegrationTests::test_multiple_destinations_transform
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apache_beam/io/gcp/bigquery_read_it_test.py::ReadTests::test_native_source
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beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
apache_beam/ml/gcp/cloud_dlp_it_test.py::CloudDLPIT::test_deidentification
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| MaskDetectedDetails(
apache_beam/ml/gcp/cloud_dlp_it_test.py::CloudDLPIT::test_inspection
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| InspectForDetails(
apache_beam/ml/inference/sklearn_inference_it_test.py::SklearnInference::test_sklearn_regression
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apache_beam/ml/inference/sklearn_inference_it_test.py::SklearnInference::test_sklearn_regression
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obj = StockUnpickler.load(self)
apache_beam/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_native_source
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beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
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| beam.io.ReadAllFromBigQuery())
apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
<https://ci-beam.apache.org/job/beam_PostCommit_Python310/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
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project = pcoll.pipeline.options.view_as(GoogleCloudOptions).project
apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
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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_Python310/ws/src/sdks/python/pytest_postCommitIT-df-py310.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=671, attempted=671)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=2748585, attempted=2748585)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=8388, attempted=8388)\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={'execution_step': 'F16', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-13_20_55_30-7646906506040874378/phases/graph_runner/step-invocations/F16-invoke-11942754404489182487/map-tasks-completion/map-tasks'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/Impulse-out0-MeanByteCount', 'output_user_name': 'Create/Impulse-out0'}), committed=13, attempted=13)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-ElementCount'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-MeanByteCount'}), committed=45, attempted=45)\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=ElementCount), labels={'output_user_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0', 'original_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0-ElementCount'}), committed=4, attempted=4)\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=, 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={'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/Map(reify_timestamps)-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0'}), committed=26, attempted=26)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=18, attempted=18)\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_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/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_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_ProcessElement), 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=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), 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-2022-12-13_20_55_30-7646906506040874378/phases/graph_runner/step-invocations/F15-invoke-11942754404489179679/map-tasks-completion/map-tasks', 'execution_step': 'F15'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-MeanByteCount'}), committed=14, attempted=14)\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={'original_name': 'map_to_common_key-out0-ElementCount', 'output_user_name': 'map_to_common_key-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-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=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-ElementCount'}), 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=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={'original_name': 'Create/Map(decode)-out0-MeanByteCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=14, attempted=14)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount'}), committed=18, attempted=18)\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=48, attempted=48)\nMetricResult(key=MetricKey(step=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=946, attempted=946)\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=Create/Map(decode), 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_FinishBundle), labels={}), committed=1000, attempted=1000)\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/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), 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=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/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=3992, attempted=3992)\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/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), 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-2022-12-13_20_55_30-7646906506040874378/phases/graph_runner/step-invocations/F14-invoke-11942754404489180323/map-tasks-completion/map-tasks', 'execution_step': 'F14'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'm_out-out0-ElementCount', 'output_user_name': 'm_out-out0'}), 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=, 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=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\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)" 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=671, attempted=671)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=2748585, attempted=2748585)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=8388, attempted=8388)
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={'execution_step': 'F16', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-13_20_55_30-7646906506040874378/phases/graph_runner/step-invocations/F16-invoke-11942754404489182487/map-tasks-completion/map-tasks'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/Impulse-out0-MeanByteCount', 'output_user_name': 'Create/Impulse-out0'}), committed=13, attempted=13)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-ElementCount'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-MeanByteCount'}), committed=45, attempted=45)
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=ElementCount), labels={'output_user_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0', 'original_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0-ElementCount'}), committed=4, attempted=4)
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=, 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={'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/Map(reify_timestamps)-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0'}), committed=26, attempted=26)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=18, attempted=18)
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_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/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_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_ProcessElement), 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=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), 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-2022-12-13_20_55_30-7646906506040874378/phases/graph_runner/step-invocations/F15-invoke-11942754404489179679/map-tasks-completion/map-tasks', 'execution_step': 'F15'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-MeanByteCount'}), committed=14, attempted=14)
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={'original_name': 'map_to_common_key-out0-ElementCount', 'output_user_name': 'map_to_common_key-out0'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-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=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-ElementCount'}), 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=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={'original_name': 'Create/Map(decode)-out0-MeanByteCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=14, attempted=14)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount'}), committed=18, attempted=18)
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=48, attempted=48)
MetricResult(key=MetricKey(step=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=946, attempted=946)
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=Create/Map(decode), 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_FinishBundle), labels={}), committed=1000, attempted=1000)
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/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), 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=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/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)
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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=3992, attempted=3992)
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/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), 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-2022-12-13_20_55_30-7646906506040874378/phases/graph_runner/step-invocations/F14-invoke-11942754404489180323/map-tasks-completion/map-tasks', 'execution_step': 'F14'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'm_out-out0-ElementCount', 'output_user_name': 'm_out-out0'}), 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=, 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=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)
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)
[31m===== [31m[1m1 failed[0m, [32m85 passed[0m, [33m19 skipped[0m, [33m668 warnings[0m[31m in 13416.62s (3:43:36)[0m[31m =====[0m
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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 3h 45m 57s
203 actionable tasks: 139 executed, 58 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/6fzznu7gydupu
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_PostCommit_Python310 #225
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python310/225/display/redirect?page=changes>
Changes:
[Kenneth Knowles] Eliminate rawtypes from KafkaIO
[Kiley Sok] disable daemon
[noreply] Improve Integer conversion in BigQueryIO's Storage Write API method.
[noreply] Remove 'Hidden' attribute from serviceAccount PipelineOption (#24642)
[noreply] Allow avro block size to be configurable in AvroIO.write (#24454)
------------------------------------------
[...truncated 10.39 MB...]
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apache_beam/io/gcp/bigquery_test.py: 6 warnings
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return airline_df[at_top_airports].mean()
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beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
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beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
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| beam.io.ReadAllFromBigQuery())
apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
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job_name = pcoll.pipeline.options.view_as(GoogleCloudOptions).job_name
apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
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apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries
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-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
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[36m[1m=========================== short test summary info ============================[0m
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core.py:3507>), 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_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/ReshufflePerKey/Map(reify_timestamps), 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_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_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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F15', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-13_15_00_39-2606549345191409446/phases/graph_runner/step-invocations/F15-invoke-1342704453348996617/map-tasks-completion/map-tasks'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'map_to_common_key-out0-ElementCount', 'output_user_name': 'map_to_common_key-out0'}), committed=4, attempted=4)\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=ElementCount), labels={'output_user_name': 'metrics-out0', 'original_name': 'metrics-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=MeanByteCount), labels={'output_user_name': 'metrics-out0', 'original_name': 'metrics-out0-MeanByteCount'}), committed=14, attempted=14)\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=MeanByteCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)\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/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={'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=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-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/Read-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0'}), committed=49, attempted=49)\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/MaybeReshuffle/Reshuffle/RemoveRandomKeys, 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_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=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/Map(decode), 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_FinishBundle), 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=map_to_common_key, 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_FinishBundle), 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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=3992, attempted=3992)\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=946, attempted=946)\nMetricResult(key=MetricKey(step=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), 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-2022-12-13_15_00_39-2606549345191409446/phases/graph_runner/step-invocations/F14-invoke-1342704453348997253/map-tasks-completion/map-tasks', 'execution_step': 'F14'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=1, attempted=1)\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={'original_name': 'm_out-out0-ElementCount', 'output_user_name': 'm_out-out0'}), committed=5, attempted=5)\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=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_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), 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=total_values), labels={}), committed=100, attempted=100)
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=, metric=MetricName(namespace=dataflow/v1b3, name=TotalVcpuTime), labels={'original_name': 'Service-cpu_num_seconds'}), committed=948, attempted=948)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3886140, attempted=3886140)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=11859, attempted=11859)
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={'execution_step': 'F16', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-13_15_00_39-2606549345191409446/phases/graph_runner/step-invocations/F16-invoke-1342704453348995345/map-tasks-completion/map-tasks'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-MeanByteCount'}), committed=46, attempted=46)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0', 'original_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0-MeanByteCount'}), committed=14, attempted=14)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-ElementCount'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0'}), committed=4, attempted=4)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-ElementCount'}), committed=4, attempted=4)
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=ElementCount), labels={'original_name': 'Create/Impulse-out0-ElementCount', 'output_user_name': 'Create/Impulse-out0'}), committed=1, attempted=1)
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/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={'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=19, attempted=19)
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=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/ReshufflePerKey/Map(reify_timestamps), 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_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_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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F15', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-13_15_00_39-2606549345191409446/phases/graph_runner/step-invocations/F15-invoke-1342704453348996617/map-tasks-completion/map-tasks'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'map_to_common_key-out0-ElementCount', 'output_user_name': 'map_to_common_key-out0'}), committed=4, attempted=4)
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=ElementCount), labels={'output_user_name': 'metrics-out0', 'original_name': 'metrics-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=MeanByteCount), labels={'output_user_name': 'metrics-out0', 'original_name': 'metrics-out0-MeanByteCount'}), committed=14, attempted=14)
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=MeanByteCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-MeanByteCount'}), committed=18, attempted=18)
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/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={'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=ElementCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-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/Read-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read-out0'}), committed=49, attempted=49)
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/MaybeReshuffle/Reshuffle/RemoveRandomKeys, 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_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=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/Map(decode), 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_FinishBundle), 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=map_to_common_key, 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_FinishBundle), 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=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=3992, attempted=3992)
MetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=946, attempted=946)
MetricResult(key=MetricKey(step=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), 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-2022-12-13_15_00_39-2606549345191409446/phases/graph_runner/step-invocations/F14-invoke-1342704453348997253/map-tasks-completion/map-tasks', 'execution_step': 'F14'}), committed=1, attempted=1)
MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=1, attempted=1)
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={'original_name': 'm_out-out0-ElementCount', 'output_user_name': 'm_out-out0'}), committed=5, attempted=5)
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=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_StartBundle), labels={}), committed=0, attempted=0)
MetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)
[31m===== [31m[1m1 failed[0m, [32m85 passed[0m, [33m19 skipped[0m, [33m666 warnings[0m[31m in 13390.08s (3:43:10)[0m[31m =====[0m
> Task :sdks:python:test-suites:dataflow:py310:postCommitIT FAILED
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python310/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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 3h 45m 38s
203 actionable tasks: 139 executed, 58 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/n4lwrfftjuxqm
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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