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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/12/15 13:20:50 UTC

Build failed in Jenkins: beam_PostCommit_Python310 #231

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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apache_beam/io/gcp/bigquery_json_it_test.py: 2 warnings
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-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
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=========================== short test summary info ============================
FAILED apache_beam/runners/dataflow/dataflow_exercise_metrics_pipeline_test.py::ExerciseMetricsPipelineTest::test_metrics_fnapi_it - 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=895, attempted=895)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3666232, attempted=3666232)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=11188, attempted=11188)\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-2022-12-15_02_41_25-11425381341403025050/phases/graph_runner/step-invocations/F16-invoke-14368253144874497331/map-tasks-completion/map-tasks'}), 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/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=ElementCount), labels={'original_name': 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'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={'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=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/AddRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-MeanByteCount'}), 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)
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===== 1 failed, 85 passed, 19 skipped, 664 warnings in 15302.63s (4:15:02) =====

> 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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Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python310/237/display/redirect?page=changes>


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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)


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=========================== short test summary info ============================
FAILED apache_beam/runners/dataflow/dataflow_exercise_metrics_pipeline_test.py::ExerciseMetricsPipelineTest::test_metrics_fnapi_it - 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=933, attempted=933)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=3823041, attempted=3823041)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=11666, attempted=11666)\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=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)
===== 1 failed, 85 passed, 19 skipped, 664 warnings in 13377.10s (3:42:57) =====

> 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.
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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.
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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)


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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> -
=========================== short test summary info ============================
FAILED apache_beam/runners/dataflow/dataflow_exercise_metrics_pipeline_test.py::ExerciseMetricsPipelineTest::test_metrics_fnapi_it - 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)
===== 1 failed, 85 passed, 19 skipped, 665 warnings in 13369.97s (3:42:49) =====

> 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
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-- 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> -
=========================== short test summary info ============================
FAILED apache_beam/runners/dataflow/dataflow_exercise_metrics_pipeline_test.py::ExerciseMetricsPipelineTest::test_metrics_fnapi_it - 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, 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=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={'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=MeanByteCount), labels={'output_user_name': 'Create/Impulse-out0', 'original_name': 'Create/Impulse-out0-MeanByteCount'}), committed=13, attempted=13)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0'}), committed=46, 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), 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_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/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-2022-12-15_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)
===== 1 failed, 85 passed, 19 skipped, 664 warnings in 13331.04s (3:42:11) =====

> 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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