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sqlalchemy-1.4.45 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.13 websocket-client-1.4.2 wrapt-1.14.1 zstandard-0.19.0 > Task :sdks:python:apache_beam:testing:load_tests:run INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_CoGBK_Dataflow_Batch/ws/src/sdks/python/build/apache-beam.tar.gz";> to staging location. INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.45.0.dev INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221205 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221205" for Docker environment INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f5e919c6c20> ==================== INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f5e919c8440> ==================== INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds. INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-cogbk-2-1211150351.1670779012.868164/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-cogbk-2-1211150351.1670779012.868164/dataflow_python_sdk.tar in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-cogbk-2-1211150351.1670779012.868164/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-cogbk-2-1211150351.1670779012.868164/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20221211171652869059-6213' createTime: '2022-12-11T17:16:54.147109Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-12-11_09_16_53-10919294946116417786' location: 'us-central1' name: 'load-tests-python-dataflow-batch-cogbk-2-1211150351' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-12-11T17:16:54.147109Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-12-11_09_16_53-10919294946116417786] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-12-11_09_16_53-10919294946116417786 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-11_09_16_53-10919294946116417786?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-11_09_16_53-10919294946116417786 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:53.646Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:56.585Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:57.763Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:57.798Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:57.875Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:57.909Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step CoGroupByKey /CoGroupByKeyImpl/GroupByKey: GroupByKey not followed by a combiner. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:57.944Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:57.971Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.011Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.047Z: JOB_MESSAGE_DEBUG: Inserted coder converter after flatten ref_AppliedPTransform_CoGroupByKey-CoGroupByKeyImpl-Flatten_18 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.079Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_CoGroupByKey-CoGroupByKeyImpl-Flatten_18 for input ref_AppliedPTransform_CoGroupByKey-CoGroupByKeyImpl-Tag-pc1-_16.None INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.112Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of CoGroupByKey /CoGroupByKeyImpl/Flatten/OutputIdentity, through flatten CoGroupByKey /CoGroupByKeyImpl/Flatten, into producer CoGroupByKey /CoGroupByKeyImpl/Tag[pc1] INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.148Z: JOB_MESSAGE_DETAILED: Fusing consumer CoGroupByKey /CoGroupByKeyImpl/MapTuple(collect_values) into CoGroupByKey /CoGroupByKeyImpl/GroupByKey/Read INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.185Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume Joined Collections into CoGroupByKey /CoGroupByKeyImpl/MapTuple(collect_values) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.220Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End into Consume Joined Collections INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.253Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_CoGroupByKey-CoGroupByKeyImpl-Flatten_18-u23 for input ref_AppliedPTransform_CoGroupByKey-CoGroupByKeyImpl-Flatten_18.None-c21 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.287Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of CoGroupByKey /CoGroupByKeyImpl/GroupByKey/Write, through flatten CoGroupByKey /CoGroupByKeyImpl/Flatten/Unzipped-1, into producer CoGroupByKey /CoGroupByKeyImpl/Flatten/OutputIdentity INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.327Z: JOB_MESSAGE_DETAILED: Fusing consumer CoGroupByKey /CoGroupByKeyImpl/Flatten/OutputIdentity into CoGroupByKey /CoGroupByKeyImpl/Tag[pc2] INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.365Z: JOB_MESSAGE_DETAILED: Fusing consumer CoGroupByKey /CoGroupByKeyImpl/GroupByKey/Write into CoGroupByKey /CoGroupByKeyImpl/Flatten/OutputIdentity INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.399Z: JOB_MESSAGE_DETAILED: Fusing consumer Read pc1/Map(<lambda at iobase.py:908>) into Read pc1/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.434Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-pc1-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read pc1/Map(<lambda at iobase.py:908>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.466Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-pc1-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-pc1-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.499Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start pc1 into ref_AppliedPTransform_Read-pc1-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.534Z: JOB_MESSAGE_DETAILED: Fusing consumer CoGroupByKey /CoGroupByKeyImpl/Tag[pc1] into Measure time: Start pc1 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.568Z: JOB_MESSAGE_DETAILED: Fusing consumer Read pc2/Map(<lambda at iobase.py:908>) into Read pc2/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.594Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-pc2-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_12/PairWithRestriction into Read pc2/Map(<lambda at iobase.py:908>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.628Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-pc2-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_12/SplitWithSizing into ref_AppliedPTransform_Read-pc2-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_12/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.662Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start pc2 into ref_AppliedPTransform_Read-pc2-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_12/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.696Z: JOB_MESSAGE_DETAILED: Fusing consumer CoGroupByKey /CoGroupByKeyImpl/Tag[pc2] into Measure time: Start pc2 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.741Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.775Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.807Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.840Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.999Z: JOB_MESSAGE_DEBUG: Executing wait step start33 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:59.070Z: JOB_MESSAGE_BASIC: Executing operation Read pc2/Impulse+Read pc2/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Read-pc2-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_12/PairWithRestriction+ref_AppliedPTransform_Read-pc2-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_12/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:59.102Z: JOB_MESSAGE_BASIC: Executing operation Read pc1/Impulse+Read pc1/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Read-pc1-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Read-pc1-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:59.116Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:59.154Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-11_09_16_53-10919294946116417786 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:17:09.302Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:17:42.483Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:18:13.156Z: JOB_MESSAGE_DETAILED: Workers have started successfully. Terminated The message received from the daemon indicates that the daemon has disappeared. Build request sent: Build{id=d4511e3b-b9c5-441f-852f-e9b2ace999ff, currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Python_CoGBK_Dataflow_Batch/ws/src}> Attempting to read last messages from the daemon log... Daemon pid: 3687153 log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-3687153.out.log ----- Last 20 lines from daemon log file - daemon-3687153.out.log ----- INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.568Z: JOB_MESSAGE_DETAILED: Fusing consumer Read pc2/Map(<lambda at iobase.py:908>) into Read pc2/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.594Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-pc2-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_12/PairWithRestriction into Read pc2/Map(<lambda at iobase.py:908>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.628Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-pc2-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_12/SplitWithSizing into ref_AppliedPTransform_Read-pc2-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_12/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.662Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start pc2 into ref_AppliedPTransform_Read-pc2-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_12/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.696Z: JOB_MESSAGE_DETAILED: Fusing consumer CoGroupByKey /CoGroupByKeyImpl/Tag[pc2] into Measure time: Start pc2 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.741Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.775Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.807Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.840Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:58.999Z: JOB_MESSAGE_DEBUG: Executing wait step start33 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:59.070Z: JOB_MESSAGE_BASIC: Executing operation Read pc2/Impulse+Read pc2/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Read-pc2-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_12/PairWithRestriction+ref_AppliedPTransform_Read-pc2-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_12/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:59.102Z: JOB_MESSAGE_BASIC: Executing operation Read pc1/Impulse+Read pc1/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Read-pc1-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Read-pc1-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:59.116Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:16:59.154Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-11_09_16_53-10919294946116417786 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:17:09.302Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:17:42.483Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 based on the rate of progress in the currently running stage(s). INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-11T17:18:13.156Z: JOB_MESSAGE_DETAILED: Workers have started successfully. Terminated Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt. ----- End of the daemon log ----- FAILURE: Build failed with an exception. * What went wrong: Gradle build daemon disappeared unexpectedly (it may have been killed or may have crashed) * Try: > Run with --stacktrace option to get the stack trace. > Run with --info or --debug option to get more log output. > Run with --scan to get full insights. * Get more help at https://help.gradle.org 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]
