See <https://ci-beam.apache.org/job/beam_PostCommit_Python37/6083/display/redirect>
Changes: ------------------------------------------ [...truncated 15.99 MB...] <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/bigquery_test.py>:1684: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported streaming = self.test_pipeline.options.view_as(StandardOptions).streaming apache_beam/io/gcp/bigquery_read_it_test.py::ReadTests::test_native_source <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/bigquery_read_it_test.py>:172: BeamDeprecationWarning: BigQuerySource is deprecated since 2.25.0. Use ReadFromBigQuery instead. beam.io.BigQuerySource(query=self.query, use_standard_sql=True))) apache_beam/ml/inference/sklearn_inference_it_test.py::SklearnInference::test_sklearn_regression <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/examples/inference/sklearn_japanese_housing_regression.py>:129: FutureWarning: SklearnModelHandlerPandas is experimental. No backwards-compatibility guarantees. model_file_type=ModelFileType.PICKLE, model_uri=model_filename) apache_beam/ml/inference/sklearn_inference_it_test.py::SklearnInference::test_sklearn_regression <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/dill/_dill.py>:472: FutureWarning: SklearnModelHandlerPandas is experimental. No backwards-compatibility guarantees. obj = StockUnpickler.load(self) apache_beam/ml/gcp/cloud_dlp_it_test.py::CloudDLPIT::test_deidentification <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/ml/gcp/cloud_dlp_it_test.py>:77: FutureWarning: MaskDetectedDetails is experimental. inspection_config=INSPECT_CONFIG)) apache_beam/ml/gcp/cloud_dlp_it_test.py::CloudDLPIT::test_inspection <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/ml/gcp/cloud_dlp_it_test.py>:87: FutureWarning: InspectForDetails is experimental. | beam.ParDo(extract_inspection_results).with_outputs( apache_beam/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_native_source <https://ci-beam.apache.org/job/beam_PostCommit_Python37/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_Python37/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_Python37/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_Python37/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_Python37/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_Python37/ws/src/sdks/python/pytest_postCommitIT-df-py37.xml> - [36m[1m=========================== short test summary info ============================[0m [31mFAILED[0m apache_beam/runners/dataflow/dataflow_exercise_metrics_pipeline_test.py::[1mExerciseMetricsPipelineTest::test_metrics_fnapi_it[0m - AssertionError: "Unable to match metrics for matcher name: 'ElementCount' (label_key: 'output_user_name' label_value: 'GroupByKey/Reify-out0'). (label_key: 'original_name' label_value: 'GroupByKey/Reify-out0-ElementCount'). attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher name: 'MeanByteCount' (label_key: 'output_user_name' label_value: 'GroupByKey/Reify-out0'). (label_key: 'original_name' label_value: 'GroupByKey/Reify-out0-MeanByteCount'). attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher name: 'ElementCount' (label_key: 'output_user_name' label_value: 'GroupByKey/GroupByWindow-out0'). (label_key: 'original_name' label_value: 'GroupByKey/GroupByWindow-out0-ElementCount'). attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher name: 'MeanByteCount' (label_key: 'output_user_name' label_value: 'GroupByKey/GroupByWindow-out0'). (label_key: 'original_name' label_value: 'GroupByKey/GroupByWindow-out0-MeanByteCount'). attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher name: 'ElementCount' (label_key: 'output_user_name' label_value: 'GroupByKey/Reify-out0'). (label_key: 'original_name' label_value: 'GroupByKey/Reify-out0-ElementCount'). attempted: a value greater than <0> committed: a value greater than <0>Unable to match metrics for matcher name: 'MeanByteCount' (label_key: 'output_user_name' label_value: 'GroupByKey/Reify-out0'). (label_key: 'original_name' label_value: 'GroupByKey/Reify-out0-MeanByteCount'). attempted: a value greater than <0> committed: a value greater than <0>\nActual MetricResults:\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.UserMetricsDoFn, name=distribution_values), labels={}), committed=DistributionResult(sum=100, count=4, min=0, max=100, mean=25.0), attempted=DistributionResult(sum=100, count=4, min=0, max=100, mean=25.0))\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline.UserMetricsDoFn, name=total_values), labels={}), committed=100, attempted=100)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalVcpuTime), labels={'original_name': 'Service-cpu_num_seconds'}), committed=1031, attempted=1031)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=4226227, attempted=4226227)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=12897, attempted=12897)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalSsdUsage), labels={'original_name': 'Service-pd_ssd_gb_seconds'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalShuffleDataProcessed), labels={'original_name': 'Service-shuffle_service_actual_gb'}), committed=None, attempted=None)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=BillableShuffleDataProcessed), labels={'original_name': 'Service-shuffle_service_chargeable_gb'}), committed=None, attempted=None)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalStreamingDataProcessed), labels={'original_name': 'Service-streaming_service_gb'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalGpuTime), labels={'original_name': 'Service-gpu_num_seconds'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentShuffleSlotCount), labels={'original_name': 'dax-shuffle-current-shuffle-slots'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentVcpuCount), labels={'original_name': 'Service-cpu_num'}), committed=2, attempted=2)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentMemoryUsage), labels={'original_name': 'Service-mem_mb'}), committed=8192, attempted=8192)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentPdUsage), labels={'original_name': 'Service-pd_gb'}), committed=25, attempted=25)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentSsdUsage), labels={'original_name': 'Service-pd_ssd_gb'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentGpuCount), labels={'original_name': 'Service-gpu_num'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=PeakShuffleSlotCount), labels={'original_name': 'dax-shuffle-peak-shuffle-slots'}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-14_19_14_41-3004264081291580533/phases/graph_runner/step-invocations/F16-invoke-17673231563829592175/map-tasks-completion/map-tasks', 'execution_step': 'F16'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0-ElementCount', 'output_user_name': 'Create/FlatMap(<lambda at core.py:3507>)-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-MeanByteCount'}), committed=46, attempted=46)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'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/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/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={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-ElementCount'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'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=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_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/AddRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), 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/ReshufflePerKey/Map(reify_timestamps), 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-2022-12-14_19_14_41-3004264081291580533/phases/graph_runner/step-invocations/F15-invoke-17673231563829595927/map-tasks-completion/map-tasks', 'execution_step': 'F15'}), committed=1, attempted=1)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-ElementCount'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0'}), committed=19, attempted=19)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'map_to_common_key-out0-MeanByteCount', 'output_user_name': 'map_to_common_key-out0'}), committed=18, attempted=18)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'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/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/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-ElementCount'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/Map(decode)-out0-ElementCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-MeanByteCount'}), committed=14, attempted=14)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/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={'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={'original_name': 'metrics-out0-MeanByteCount', 'output_user_name': 'metrics-out0'}), committed=14, attempted=14)\nMetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'metrics-out0-ElementCount', 'output_user_name': 'metrics-out0'}), committed=4, attempted=4)\nMetricResult(key=MetricKey(step=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=1000, attempted=1000)\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=3993, attempted=3993)\nMetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=946, attempted=946)\nMetricResult(key=MetricKey(step=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0)\nMetricResult(key=MetricKey(step=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_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_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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F14', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-14_19_14_41-3004264081291580533/phases/graph_runner/step-invocations/F14-invoke-17673231563829593707/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={'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=, 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_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=1031, attempted=1031) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalMemoryUsage), labels={'original_name': 'Service-mem_mb_seconds'}), committed=4226227, attempted=4226227) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalPdUsage), labels={'original_name': 'Service-pd_gb_seconds'}), committed=12897, attempted=12897) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalSsdUsage), labels={'original_name': 'Service-pd_ssd_gb_seconds'}), committed=0, attempted=0) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalShuffleDataProcessed), labels={'original_name': 'Service-shuffle_service_actual_gb'}), committed=None, attempted=None) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=BillableShuffleDataProcessed), labels={'original_name': 'Service-shuffle_service_chargeable_gb'}), committed=None, attempted=None) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalStreamingDataProcessed), labels={'original_name': 'Service-streaming_service_gb'}), committed=0, attempted=0) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=TotalGpuTime), labels={'original_name': 'Service-gpu_num_seconds'}), committed=0, attempted=0) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentShuffleSlotCount), labels={'original_name': 'dax-shuffle-current-shuffle-slots'}), committed=0, attempted=0) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentVcpuCount), labels={'original_name': 'Service-cpu_num'}), committed=2, attempted=2) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentMemoryUsage), labels={'original_name': 'Service-mem_mb'}), committed=8192, attempted=8192) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentPdUsage), labels={'original_name': 'Service-pd_gb'}), committed=25, attempted=25) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentSsdUsage), labels={'original_name': 'Service-pd_ssd_gb'}), committed=0, attempted=0) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=CurrentGpuCount), labels={'original_name': 'Service-gpu_num'}), committed=0, attempted=0) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=PeakShuffleSlotCount), labels={'original_name': 'dax-shuffle-peak-shuffle-slots'}), committed=0, attempted=0) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-14_19_14_41-3004264081291580533/phases/graph_runner/step-invocations/F16-invoke-17673231563829592175/map-tasks-completion/map-tasks', 'execution_step': 'F16'}), committed=1, attempted=1) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/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=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0'}), committed=4, attempted=4) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify-out0-MeanByteCount'}), committed=46, attempted=46) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0-ElementCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/AddRandomKeys-out0'}), committed=4, attempted=4) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'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/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/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={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)-out0-ElementCount'}), committed=4, attempted=4) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'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=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_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/AddRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=Create/FlatMap(<lambda at core.py:3507>), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps), 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-2022-12-14_19_14_41-3004264081291580533/phases/graph_runner/step-invocations/F15-invoke-17673231563829595927/map-tasks-completion/map-tasks', 'execution_step': 'F15'}), committed=1, attempted=1) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'output_user_name': 'map_to_common_key-out0', 'original_name': 'map_to_common_key-out0-ElementCount'}), committed=4, attempted=4) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-MeanByteCount', 'output_user_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0'}), committed=19, attempted=19) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'map_to_common_key-out0-MeanByteCount', 'output_user_name': 'map_to_common_key-out0'}), committed=18, attempted=18) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'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/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/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)-out0-ElementCount'}), committed=4, attempted=4) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'Create/Map(decode)-out0-ElementCount', 'output_user_name': 'Create/Map(decode)-out0'}), committed=4, attempted=4) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'output_user_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0', 'original_name': 'Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys-out0-MeanByteCount'}), committed=14, attempted=14) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'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={'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={'original_name': 'metrics-out0-MeanByteCount', 'output_user_name': 'metrics-out0'}), committed=14, attempted=14) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'metrics-out0-ElementCount', 'output_user_name': 'metrics-out0'}), committed=4, attempted=4) MetricResult(key=MetricKey(step=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=1000, attempted=1000) MetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=3993, attempted=3993) MetricResult(key=MetricKey(step=metrics, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=946, attempted=946) MetricResult(key=MetricKey(step=Create/Map(decode), metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=map_to_common_key, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=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_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=, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionStepProgress), labels={'execution_step': 'F14', 'original_name': 'dax_workflow_stage_progress_/workflows/wf-2022-12-14_19_14_41-3004264081291580533/phases/graph_runner/step-invocations/F14-invoke-17673231563829593707/map-tasks-completion/map-tasks'}), committed=1, attempted=1) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=MeanByteCount), labels={'original_name': 'm_out-out0-MeanByteCount', 'output_user_name': 'm_out-out0'}), committed=15, attempted=15) MetricResult(key=MetricKey(step=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'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=, metric=MetricName(namespace=dataflow/v1b3, name=ElementCount), labels={'original_name': 'GroupByKey/Read-out0-ElementCount', 'output_user_name': 'GroupByKey/Read-out0'}), committed=1, attempted=1) MetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_StartBundle), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_FinishBundle), labels={}), committed=0, attempted=0) MetricResult(key=MetricKey(step=m_out, metric=MetricName(namespace=dataflow/v1b3, name=ExecutionTime_ProcessElement), labels={}), committed=0, attempted=0) [31m===== [31m[1m1 failed[0m, [32m85 passed[0m, [33m19 skipped[0m, [33m225 warnings[0m[31m in 13970.83s (3:52:50)[0m[31m =====[0m > Task :sdks:python:test-suites:dataflow:py37:postCommitIT FAILED > Task :sdks:python:test-suites:dataflow:py37:spannerioIT >>> RUNNING integration tests with pipeline options: >>> --runner=TestDataflowRunner --project=apache-beam-testing >>> --region=us-central1 >>> --staging_location=gs://temp-storage-for-end-to-end-tests/staging-it >>> --temp_location=gs://temp-storage-for-end-to-end-tests/temp-it >>> --output=gs://temp-storage-for-end-to-end-tests/py-it-cloud/output >>> --sdk_location=<https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/build/apache-beam.tar.gz> >>> --requirements_file=postcommit_requirements.txt --num_workers=1 >>> --sleep_secs=20 >>> --kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test >>> >>> --dataflow_kms_key=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test >>> pytest options: --capture=no --timeout=4500 --color=yes >>> --log-cli-level=INFO --numprocesses=8 --dist=loadfile >>> collect markers: -m=spannerio_it [1m============================= test session starts ==============================[0m platform linux -- Python 3.7.12, pytest-7.2.0, pluggy-1.0.0 rootdir: <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python,> configfile: pytest.ini plugins: xdist-2.5.0, hypothesis-6.61.0, timeout-2.1.0, forked-1.4.0, requests-mock-1.10.0 timeout: 4500.0s timeout method: signal timeout func_only: False gw0 I / gw1 I / gw2 I / gw3 I / gw4 I / gw5 I / gw6 I / gw7 I [1m[gw1] Python 3.7.12 (default, Jan 15 2022, 18:42:10) -- [GCC 9.3.0] [0m[1m[gw2] Python 3.7.12 (default, Jan 15 2022, 18:42:10) -- [GCC 9.3.0] [0m[1m[gw0] Python 3.7.12 (default, Jan 15 2022, 18:42:10) -- [GCC 9.3.0] [0m[1m[gw3] Python 3.7.12 (default, Jan 15 2022, 18:42:10) -- [GCC 9.3.0] [0m[1m[gw4] Python 3.7.12 (default, Jan 15 2022, 18:42:10) -- [GCC 9.3.0] [0m[1m[gw5] Python 3.7.12 (default, Jan 15 2022, 18:42:10) -- [GCC 9.3.0] [0m[1m[gw6] Python 3.7.12 (default, Jan 15 2022, 18:42:10) -- [GCC 9.3.0] [0m[1m[gw7] Python 3.7.12 (default, Jan 15 2022, 18:42:10) -- [GCC 9.3.0] [0mgw0 [15] / gw1 [15] / gw2 [15] / gw3 [15] / gw4 [15] / gw5 [15] / gw6 [15] / gw7 [15] scheduling tests via LoadFileScheduling apache_beam/io/gcp/experimental/spannerio_write_it_test.py::SpannerWriteIntegrationTest::test_metrics_error_call apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_read_via_sql [gw2] [33mSKIPPED[0m apache_beam/io/gcp/experimental/spannerio_write_it_test.py::SpannerWriteIntegrationTest::test_metrics_error_call apache_beam/io/gcp/experimental/spannerio_write_it_test.py::SpannerWriteIntegrationTest::test_metrics_ok_call [gw2] [33mSKIPPED[0m apache_beam/io/gcp/experimental/spannerio_write_it_test.py::SpannerWriteIntegrationTest::test_metrics_ok_call apache_beam/io/gcp/experimental/spannerio_write_it_test.py::SpannerWriteIntegrationTest::test_spanner_error [gw2] [32mPASSED[0m apache_beam/io/gcp/experimental/spannerio_write_it_test.py::SpannerWriteIntegrationTest::test_spanner_error apache_beam/io/gcp/experimental/spannerio_write_it_test.py::SpannerWriteIntegrationTest::test_spanner_update [gw1] [32mPASSED[0m apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_read_via_sql apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_read_via_table [gw2] [32mPASSED[0m apache_beam/io/gcp/experimental/spannerio_write_it_test.py::SpannerWriteIntegrationTest::test_spanner_update apache_beam/io/gcp/experimental/spannerio_write_it_test.py::SpannerWriteIntegrationTest::test_write_batches [gw1] [32mPASSED[0m apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_read_via_table apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_sql_metrics_error_call [gw1] [33mSKIPPED[0m apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_sql_metrics_error_call apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_sql_metrics_ok_call [gw1] [33mSKIPPED[0m apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_sql_metrics_ok_call apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_table_metrics_error_call [gw1] [33mSKIPPED[0m apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_table_metrics_error_call 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apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_transaction_table_metrics_error_call apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_transaction_table_metrics_ok_call [gw1] [33mSKIPPED[0m apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_transaction_table_metrics_ok_call [gw2] [32mPASSED[0m apache_beam/io/gcp/experimental/spannerio_write_it_test.py::SpannerWriteIntegrationTest::test_write_batches [33m=============================== warnings summary ===============================[0m ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py>:15: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses from imp import load_source apache_beam/io/gcp/experimental/spannerio_write_it_test.py::SpannerWriteIntegrationTest::test_spanner_error <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/experimental/spannerio_write_it_test.py>:190: FutureWarning: WriteToSpanner is experimental. No backwards-compatibility guarantees. database_id=self.TEST_DATABASE)) apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_read_via_sql <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/experimental/spannerio_read_it_test.py>:128: FutureWarning: ReadFromSpanner is experimental. No backwards-compatibility guarantees. sql="select * from Users") apache_beam/io/gcp/experimental/spannerio_write_it_test.py::SpannerWriteIntegrationTest::test_spanner_update <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/experimental/spannerio_write_it_test.py>:171: FutureWarning: WriteToSpanner is experimental. No backwards-compatibility guarantees. database_id=self.TEST_DATABASE)) apache_beam/io/gcp/experimental/spannerio_read_it_test.py::SpannerReadIntegrationTest::test_read_via_table <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/experimental/spannerio_read_it_test.py>:117: FutureWarning: ReadFromSpanner is experimental. No backwards-compatibility guarantees. columns=["UserId", "Key"]) apache_beam/io/gcp/experimental/spannerio_write_it_test.py::SpannerWriteIntegrationTest::test_write_batches <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/apache_beam/io/gcp/experimental/spannerio_write_it_test.py>:135: FutureWarning: WriteToSpanner is experimental. No backwards-compatibility guarantees. max_batch_size_bytes=250)) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/pytest_postCommitIT-df-py37.xml> - [33m=========== [32m5 passed[0m, [33m[1m15 skipped[0m, [33m[1m14 warnings[0m[33m in 2071.49s (0:34:31)[0m[33m ============[0m FAILURE: Build failed with an exception. * Where: Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python37/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 111 * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py37: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 29m 48s 212 actionable tasks: 148 executed, 58 from cache, 6 up-to-date Publishing build scan... https://gradle.com/s/6vwn3ejp5b6h6 Build step 'Invoke Gradle script' changed build result to FAILURE Build step 'Invoke Gradle script' marked build as failure --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
