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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.utils.subprocess_server:Using pre-built snapshot at <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar>
INFO:root:Starting a JAR-based expansion service from JAR <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar>
INFO:apache_beam.utils.subprocess_server:Starting service with ['java' '-jar' '<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar'> '35235' '--filesToStage=<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar'> '--experiments=use_unbounded_sdf_wrapper']
INFO:apache_beam.utils.subprocess_server:Starting expansion service at localhost:35235
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 2:42:16 AM org.apache.beam.sdk.expansion.service.ExpansionService loadRegisteredTransforms
INFO:apache_beam.utils.subprocess_server:INFO: Registering external transforms: [beam:transform:org.apache.beam:kafka_read_with_metadata:v1, beam:transform:org.apache.beam:kafka_read_without_metadata:v1, beam:transform:org.apache.beam:kafka_write:v1, beam:external:java:generate_sequence:v1]
INFO:apache_beam.utils.subprocess_server:
INFO:apache_beam.utils.subprocess_server:Registered transforms:
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_read_with_metadata:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@53ca01a2
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_read_without_metadata:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@358c99f5
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_write:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@3ee0fea4
INFO:apache_beam.utils.subprocess_server: beam:external:java:generate_sequence:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@48524010
INFO:apache_beam.utils.subprocess_server:
INFO:apache_beam.utils.subprocess_server:Registered SchemaTransformProviders:
INFO:apache_beam.utils.subprocess_server: beam:schematransform:org.apache.beam:kafka_read:v1
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 2:42:19 AM org.apache.beam.sdk.expansion.service.ExpansionService expand
INFO:apache_beam.utils.subprocess_server:INFO: Expanding 'ReadFromKafka' with URN 'beam:transform:org.apache.beam:kafka_read_without_metadata:v1'
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 2:42:19 AM org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader payloadToConfig
INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.io.kafka.KafkaIO$Read$External$Configuration' has no schema registered. Attempting to construct with setter approach.
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 2:42:19 AM org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader payloadToConfig
INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.io.kafka.KafkaIO$Read$External$Configuration' has no schema registered. Attempting to construct with setter approach.
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 2:42:19 AM org.apache.beam.sdk.coders.SerializableCoder checkEqualsMethodDefined
INFO:apache_beam.utils.subprocess_server:WARNING: Can't verify serialized elements of type Shard have well defined equals method. This may produce incorrect results on some PipelineRunner implementations
INFO:apache_beam.runners.dataflow.dataflow_runner:Automatically enabling Dataflow Runner V2 since the pipeline used cross-language transforms.
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
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-fnapi:beam-master-20221205
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221205" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f7d3c727440> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f7d3c727c20> ====================
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/
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/beamapp-jenkins-1213024223-195329-6nm2jmne.1670899343.195693/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT-9N8UizKB9YJkvJd9OnJCqv29_cdN3xAY8L6O7oQ7r34.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213024223-195329-6nm2jmne.1670899343.195693/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT-9N8UizKB9YJkvJd9OnJCqv29_cdN3xAY8L6O7oQ7r34.jar in 3 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213024223-195329-6nm2jmne.1670899343.195693/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213024223-195329-6nm2jmne.1670899343.195693/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213024223-195329-6nm2jmne.1670899343.195693/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213024223-195329-6nm2jmne.1670899343.195693/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-12-12_18_42_26-18294836854384516565]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-12-12_18_42_26-18294836854384516565
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-12_18_42_26-18294836854384516565?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_18_42_26-18294836854384516565 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:29.791Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:30.962Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:30.985Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.052Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.077Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step assert_that/Group/CoGroupByKeyImpl/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.135Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.175Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.207Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.269Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.305Z: JOB_MESSAGE_DEBUG: Inserted coder converter before flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_30
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.333Z: JOB_MESSAGE_DEBUG: Inserted coder converter before flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_30
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.371Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_30 for input ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Tag-0-_28.None-post34
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.405Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of assert_that/Group/CoGroupByKeyImpl/GroupByKey/Write, through flatten assert_that/Group/CoGroupByKeyImpl/Flatten, into producer assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.437Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values) into assert_that/Group/CoGroupByKeyImpl/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.470Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/RestoreTags into assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.498Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Unkey into assert_that/Group/RestoreTags
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.536Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.565Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/GroupByKey/Write into assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.586Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/Read(CreateSource)/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/Read(CreateSource)/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.616Z: JOB_MESSAGE_DETAILED: Fusing consumer external_1ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaUnbounded-Read-KafkaUnboundedSource--Create-3/PairWithRestriction into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/Read(CreateSource)/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.641Z: JOB_MESSAGE_DETAILED: Fusing consumer external_1ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaUnbounded-Read-KafkaUnboundedSource--Create-3/SplitWithSizing into external_1ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaUnbounded-Read-KafkaUnboundedSource--Create-3/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.678Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Split/ParMultiDo(Split) into external_1ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaUnbounded-Read-KafkaUnboundedSource--Create-3/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.712Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Pair with random key/ParMultiDo(AssignShard) into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Split/ParMultiDo(Split)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.746Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/Window.Into()/Window.Assign into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Pair with random key/ParMultiDo(AssignShard)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.775Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/ReifyOriginalTimestamps/ParDo(Anonymous)/ParMultiDo(Anonymous) into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/Window.Into()/Window.Assign
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.812Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Reify into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/ReifyOriginalTimestamps/ParDo(Anonymous)/ParMultiDo(Anonymous)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.841Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Write into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.880Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/GroupByWindow into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.917Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/ExpandIterable/ParMultiDo(Anonymous) into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/GroupByWindow
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.951Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/RestoreOriginalTimestamps/ReifyTimestamps.RemoveWildcard/ParDo(Anonymous)/ParMultiDo(Anonymous) into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/ExpandIterable/ParMultiDo(Anonymous)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:31.976Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/RestoreOriginalTimestamps/Reify.ExtractTimestampsFromValues/ParDo(Anonymous)/ParMultiDo(Anonymous) into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/RestoreOriginalTimestamps/ReifyTimestamps.RemoveWildcard/ParDo(Anonymous)/ParMultiDo(Anonymous)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.005Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Values/Values/Map/ParMultiDo(Anonymous) into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/RestoreOriginalTimestamps/Reify.ExtractTimestampsFromValues/ParDo(Anonymous)/ParMultiDo(Anonymous)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.032Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Read/ParMultiDo(Read) into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Values/Values/Map/ParMultiDo(Anonymous)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.069Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/StripIds/ParMultiDo(StripIds) into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Read/ParMultiDo(Read)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.100Z: JOB_MESSAGE_DETAILED: Fusing consumer ReadFromKafka/Remove Kafka Metadata/ParMultiDo(Anonymous) into ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/StripIds/ParMultiDo(StripIds)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.134Z: JOB_MESSAGE_DETAILED: Fusing consumer Count records into ReadFromKafka/Remove Kafka Metadata/ParMultiDo(Anonymous)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.171Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Count records
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.203Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/KeyWithVoid into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.236Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/CombinePerKey/GroupByKey+Count/CombineGlobally(CountCombineFn)/CombinePerKey/Combine/Partial into Count/CombineGlobally(CountCombineFn)/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.270Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/CombinePerKey/GroupByKey/Write into Count/CombineGlobally(CountCombineFn)/CombinePerKey/GroupByKey+Count/CombineGlobally(CountCombineFn)/CombinePerKey/Combine/Partial
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.302Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/CombinePerKey/Combine into Count/CombineGlobally(CountCombineFn)/CombinePerKey/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.336Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/CombinePerKey/Combine/Extract into Count/CombineGlobally(CountCombineFn)/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.368Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/UnKey into Count/CombineGlobally(CountCombineFn)/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.395Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/DoOnce/FlatMap(<lambda at core.py:3507>) into Count/CombineGlobally(CountCombineFn)/DoOnce/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.417Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/DoOnce/Map(decode) into Count/CombineGlobally(CountCombineFn)/DoOnce/FlatMap(<lambda at core.py:3507>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.448Z: JOB_MESSAGE_DETAILED: Fusing consumer Count/CombineGlobally(CountCombineFn)/InjectDefault into Count/CombineGlobally(CountCombineFn)/DoOnce/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.482Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into Count/CombineGlobally(CountCombineFn)/InjectDefault
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.508Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at core.py:3507>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.541Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into assert_that/Create/FlatMap(<lambda at core.py:3507>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.573Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Tag[0] into assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.608Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity into assert_that/Group/CoGroupByKeyImpl/Tag[0]
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.641Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.674Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Tag[1] into assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.712Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity into assert_that/Group/CoGroupByKeyImpl/Tag[1]
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.754Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.786Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.822Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:32.846Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:33Z: JOB_MESSAGE_DEBUG: Executing wait step start49
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:33.069Z: JOB_MESSAGE_BASIC: Executing operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/Read(CreateSource)/Impulse+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/Read(CreateSource)/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)+external_1ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaUnbounded-Read-KafkaUnboundedSource--Create-3/PairWithRestriction+external_1ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaUnbounded-Read-KafkaUnboundedSource--Create-3/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:33.116Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:42:33.156Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_18_42_26-18294836854384516565 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:43:09.062Z: 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:2022-12-13T02:43:17.470Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 4 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:43:17.504Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 4, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:43:47.147Z: 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:2022-12-13T02:44:52.735Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:46:22.337Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-12-12_18_42_26-18294836854384516565.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:46:22.447Z: JOB_MESSAGE_WARNING: Unable to delete temp files: "gs://temp-storage-for-perf-tests/beamapp-jenkins-1213024223-195329-6nm2jmne.1670899343.195693/dax-tmp-2022-12-12_18_42_26-18294836854384516565-S01-0-2708605ead279cc6/tmp-2708605ead279ff3@DAX.sdfmeta."
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:46:22.478Z: JOB_MESSAGE_WARNING: S01:ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/Read(CreateSource)/Impulse+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/Read(CreateSource)/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)+external_1ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaUnbounded-Read-KafkaUnboundedSource--Create-3/PairWithRestriction+external_1ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaUnbounded-Read-KafkaUnboundedSource--Create-3/SplitWithSizing failed.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:46:22.512Z: JOB_MESSAGE_BASIC: Finished operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/Read(CreateSource)/Impulse+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/Read(CreateSource)/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)+external_1ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaUnbounded-Read-KafkaUnboundedSource--Create-3/PairWithRestriction+external_1ReadFromKafka-KafkaIO-Read-KafkaIO-Read-ReadFromKafkaViaUnbounded-Read-KafkaUnboundedSource--Create-3/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:46:22.588Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:46:22.631Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:46:22.661Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_18_42_26-18294836854384516565 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 133, in <module>
getattr(sys.modules[__name__], test_options.test_class)().run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 59, in run
read_test.run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1547, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-12-12_18_42_26-18294836854384516565?project=<ProjectId>
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file '<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 63
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* 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
BUILD FAILED in 6m 32s
15 actionable tasks: 5 executed, 10 up-to-date
Publishing build scan...
https://gradle.com/s/6ngvyepa7myic
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_PerformanceTests_xlang_KafkaIO_batch_Python #10
Posted by Apache Jenkins Server <je...@builds.apache.org>.
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Changes:
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[...truncated 85.55 KB...]
Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.45.0.dev0-py3-none-any.whl size=2941342 sha256=7ef0ba3a7bca35380f036ba39c9b782e0cdd7920fc930ec4d89308b0d7953cc9
Stored in directory: /home/jenkins/.cache/pip/wheels/bb/36/fb/ba3c413be91259c08471767141df011e58441eca2deb58e74f
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, PyJWT, pyhamcrest, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pydot, pandas, packaging, mock, hypothesis, httplib2, grpcio-status, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, deprecation, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, boto3, apache-beam, pytest-xdist, msal, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, msal-extensions, google-cloud-pubsublite, azure-identity
Attempting uninstall: packaging
Found existing installation: packaging 22.0
Uninstalling packaging-22.0:
Successfully uninstalled packaging-22.0
Successfully installed PyJWT-2.6.0 apache-beam-2.45.0.dev0 attrs-22.1.0 azure-core-1.26.1 azure-identity-1.12.0 azure-storage-blob-12.14.1 boto3-1.26.28 botocore-1.29.28 cachetools-4.2.4 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.0.4 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.15.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.4.1 google-cloud-bigquery-storage-2.16.2 google-cloud-bigtable-1.7.3 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.11 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.24.0 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.57.0 greenlet-2.0.1 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.61.0 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msal-1.20.0 msal-extensions-1.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.6.1 orjson-3.8.3 overrides-6.5.0 packaging-21.3 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 portalocker-2.6.0 proto-plus-1.22.1 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pyparsing-3.0.9 pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 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.utils.subprocess_server:Using pre-built snapshot at <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar>
INFO:root:Starting a JAR-based expansion service from JAR <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar>
INFO:apache_beam.utils.subprocess_server:Starting service with ['java' '-jar' '<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar'> '50127' '--filesToStage=<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar']>
INFO:apache_beam.utils.subprocess_server:Starting expansion service at localhost:50127
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 1:48:27 AM org.apache.beam.sdk.expansion.service.ExpansionService loadRegisteredTransforms
INFO:apache_beam.utils.subprocess_server:INFO: Registering external transforms: [beam:transform:org.apache.beam:kafka_read_with_metadata:v1, beam:transform:org.apache.beam:kafka_read_without_metadata:v1, beam:transform:org.apache.beam:kafka_write:v1, beam:external:java:generate_sequence:v1]
INFO:apache_beam.utils.subprocess_server:
INFO:apache_beam.utils.subprocess_server:Registered transforms:
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_read_with_metadata:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@e50a6f6
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_read_without_metadata:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@14ec4505
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_write:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@53ca01a2
INFO:apache_beam.utils.subprocess_server: beam:external:java:generate_sequence:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@358c99f5
INFO:apache_beam.utils.subprocess_server:
INFO:apache_beam.utils.subprocess_server:Registered SchemaTransformProviders:
INFO:apache_beam.utils.subprocess_server: beam:schematransform:org.apache.beam:kafka_read:v1
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 1:48:29 AM org.apache.beam.sdk.expansion.service.ExpansionService expand
INFO:apache_beam.utils.subprocess_server:INFO: Expanding 'WriteToKafka' with URN 'beam:transform:org.apache.beam:kafka_write:v1'
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 1:48:29 AM org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader payloadToConfig
INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.io.kafka.KafkaIO$Write$External$Configuration' has no schema registered. Attempting to construct with setter approach.
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 1:48:29 AM org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader payloadToConfig
INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.io.kafka.KafkaIO$Write$External$Configuration' has no schema registered. Attempting to construct with setter approach.
INFO:apache_beam.runners.dataflow.dataflow_runner:Automatically enabling Dataflow Runner V2 since the pipeline used cross-language transforms.
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
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-fnapi:beam-master-20221205
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221205" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7fd73877ab00> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fd73877b320> ====================
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/
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/beamapp-jenkins-1213014832-315996-97juol3s.1670896112.316362/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT-9N8UizKB9YJkvJd9OnJCqv29_cdN3xAY8L6O7oQ7r34.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213014832-315996-97juol3s.1670896112.316362/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT-9N8UizKB9YJkvJd9OnJCqv29_cdN3xAY8L6O7oQ7r34.jar in 3 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213014832-315996-97juol3s.1670896112.316362/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213014832-315996-97juol3s.1670896112.316362/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213014832-315996-97juol3s.1670896112.316362/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213014832-315996-97juol3s.1670896112.316362/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221213014832317599-2042'
createTime: '2022-12-13T01:48:36.665465Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-12-12_17_48_36-1315716054181568849'
location: 'us-central1'
name: 'beamapp-jenkins-1213014832-315996-97juol3s'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-12-13T01:48:36.665465Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-12-12_17_48_36-1315716054181568849]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-12-12_17_48_36-1315716054181568849
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-12_17_48_36-1315716054181568849?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_17_48_36-1315716054181568849 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:39.228Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.547Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.583Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.636Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.662Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Avoid Fusion/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.684Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.712Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.757Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.784Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate records/Map(<lambda at iobase.py:908>) into Generate records/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.811Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Generate records/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.833Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.854Z: JOB_MESSAGE_DETAILED: Fusing consumer Count records into ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.880Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/AddRandomKeys into Count records
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.902Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/ReshufflePerKey/Map(reify_timestamps) into Avoid Fusion/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.927Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/ReshufflePerKey/GroupByKey/Reify into Avoid Fusion/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.957Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/ReshufflePerKey/GroupByKey/Write into Avoid Fusion/ReshufflePerKey/GroupByKey/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:40.984Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/ReshufflePerKey/GroupByKey/GroupByWindow into Avoid Fusion/ReshufflePerKey/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:41.010Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/ReshufflePerKey/FlatMap(restore_timestamps) into Avoid Fusion/ReshufflePerKey/GroupByKey/GroupByWindow
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:41.031Z: JOB_MESSAGE_DETAILED: Fusing consumer Avoid Fusion/RemoveRandomKeys into Avoid Fusion/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:41.052Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Avoid Fusion/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:41.077Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous) into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:41.100Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter) into WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:41.129Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:41.158Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:41.187Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:41.207Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:41.323Z: JOB_MESSAGE_DEBUG: Executing wait step start20
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:41.382Z: JOB_MESSAGE_BASIC: Executing operation Generate records/Impulse+Generate records/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:41.415Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:48:41.435Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_17_48_36-1315716054181568849 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:49:17.704Z: 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:2022-12-13T01:49:23.962Z: 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:2022-12-13T01:51:20.237Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:57:27.221Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:57:29.088Z: JOB_MESSAGE_BASIC: Finished operation Generate records/Impulse+Generate records/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:57:29.164Z: JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6-split-with-sizing-out3" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:57:29.235Z: JOB_MESSAGE_BASIC: Executing operation Avoid Fusion/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:57:30.640Z: JOB_MESSAGE_BASIC: Finished operation Avoid Fusion/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:57:30.691Z: JOB_MESSAGE_DEBUG: Value "Avoid Fusion/ReshufflePerKey/GroupByKey/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:57:30.747Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing+Count records+Avoid Fusion/AddRandomKeys+Avoid Fusion/ReshufflePerKey/Map(reify_timestamps)+Avoid Fusion/ReshufflePerKey/GroupByKey/Reify+Avoid Fusion/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:11:00.212Z: JOB_MESSAGE_BASIC: Finished operation ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing+Count records+Avoid Fusion/AddRandomKeys+Avoid Fusion/ReshufflePerKey/Map(reify_timestamps)+Avoid Fusion/ReshufflePerKey/GroupByKey/Reify+Avoid Fusion/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:11:00.340Z: JOB_MESSAGE_BASIC: Executing operation Avoid Fusion/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:11:00.638Z: JOB_MESSAGE_BASIC: Finished operation Avoid Fusion/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:11:00.691Z: JOB_MESSAGE_BASIC: Executing operation Avoid Fusion/ReshufflePerKey/GroupByKey/Read+Avoid Fusion/ReshufflePerKey/GroupByKey/GroupByWindow+Avoid Fusion/ReshufflePerKey/FlatMap(restore_timestamps)+Avoid Fusion/RemoveRandomKeys+Measure time+WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)+WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:17:27.652Z: JOB_MESSAGE_BASIC: Finished operation Avoid Fusion/ReshufflePerKey/GroupByKey/Read+Avoid Fusion/ReshufflePerKey/GroupByKey/GroupByWindow+Avoid Fusion/ReshufflePerKey/FlatMap(restore_timestamps)+Avoid Fusion/RemoveRandomKeys+Measure time+WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)+WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:17:27.720Z: JOB_MESSAGE_DEBUG: Executing success step success18
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:17:27.792Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:17:27.856Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:17:27.876Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:19:42.080Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 5 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:19:42.126Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T02:19:42.156Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_17_48_36-1315716054181568849 is in state JOB_STATE_DONE
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results for test: db4f136f5dc9410da5f50331c8d0e11a and timestamp: 1670897993.342413:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: write_count_records_total_messages Value: 100000000
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: write_runtime Value: 385
INFO:apache_beam.utils.subprocess_server:Using pre-built snapshot at <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar>
INFO:root:Starting a JAR-based expansion service from JAR <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar>
INFO:apache_beam.utils.subprocess_server:Starting service with ['java' '-jar' '<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar'> '54199' '--filesToStage=<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar'> '--experiments=use_unbounded_sdf_wrapper']
INFO:apache_beam.utils.subprocess_server:Starting expansion service at localhost:54199
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 2:19:54 AM org.apache.beam.sdk.expansion.service.ExpansionService loadRegisteredTransforms
INFO:apache_beam.utils.subprocess_server:INFO: Registering external transforms: [beam:transform:org.apache.beam:kafka_read_with_metadata:v1, beam:transform:org.apache.beam:kafka_read_without_metadata:v1, beam:transform:org.apache.beam:kafka_write:v1, beam:external:java:generate_sequence:v1]
INFO:apache_beam.utils.subprocess_server:
INFO:apache_beam.utils.subprocess_server:Registered transforms:
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_read_with_metadata:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@53ca01a2
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_read_without_metadata:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@358c99f5
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_write:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@3ee0fea4
INFO:apache_beam.utils.subprocess_server: beam:external:java:generate_sequence:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@48524010
INFO:apache_beam.utils.subprocess_server:
INFO:apache_beam.utils.subprocess_server:Registered SchemaTransformProviders:
INFO:apache_beam.utils.subprocess_server: beam:schematransform:org.apache.beam:kafka_read:v1
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 2:19:56 AM org.apache.beam.sdk.expansion.service.ExpansionService expand
INFO:apache_beam.utils.subprocess_server:INFO: Expanding 'ReadFromKafka' with URN 'beam:transform:org.apache.beam:kafka_read_without_metadata:v1'
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 2:19:56 AM org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader payloadToConfig
INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.io.kafka.KafkaIO$Read$External$Configuration' has no schema registered. Attempting to construct with setter approach.
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 2:19:57 AM org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader payloadToConfig
INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.io.kafka.KafkaIO$Read$External$Configuration' has no schema registered. Attempting to construct with setter approach.
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 132, in <module>
getattr(sys.modules[__name__], test_options.test_class)().run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 59, in run
read_test.run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 148, in run
self.test()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 110, in test
| 'Count' >> beam.combiners.Count.Globally())
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/pvalue.py",> line 137, in __or__
return self.pipeline.apply(ptransform, self)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/pipeline.py",> line 656, in apply
transform.transform, pvalueish, label or transform.label)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/pipeline.py",> line 666, in apply
return self.apply(transform, pvalueish)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/pipeline.py",> line 712, in apply
pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 137, in apply
return super().apply(transform, input, options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/runner.py",> line 185, in apply
return m(transform, input, options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/runner.py",> line 215, in apply_PTransform
return transform.expand(input)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/transforms/combiners.py",> line 145, in expand
return pcoll | core.CombineGlobally(CountCombineFn())
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/pvalue.py",> line 137, in __or__
return self.pipeline.apply(ptransform, self)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/pipeline.py",> line 712, in apply
pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 137, in apply
return super().apply(transform, input, options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/runner.py",> line 185, in apply
return m(transform, input, options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/runner.py",> line 215, in apply_PTransform
return transform.expand(input)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/transforms/core.py",> line 2440, in expand
| 'UnKey' >> Map(lambda k_v: k_v[1]))
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/pvalue.py",> line 137, in __or__
return self.pipeline.apply(ptransform, self)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/pipeline.py",> line 656, in apply
transform.transform, pvalueish, label or transform.label)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/pipeline.py",> line 666, in apply
return self.apply(transform, pvalueish)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/pipeline.py",> line 712, in apply
pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 137, in apply
return super().apply(transform, input, options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/runner.py",> line 185, in apply
return m(transform, input, options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/runner.py",> line 215, in apply_PTransform
return transform.expand(input)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/transforms/core.py",> line 2579, in expand
return pcoll | GroupByKey() | 'Combine' >> CombineValues(
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/pvalue.py",> line 137, in __or__
return self.pipeline.apply(ptransform, self)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/pipeline.py",> line 712, in apply
pvalueish_result = self.runner.apply(transform, pvalueish, self._options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 137, in apply
return super().apply(transform, input, options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/runner.py",> line 185, in apply
return m(transform, input, options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 756, in apply_GroupByKey
return transform.expand(pcoll)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/transforms/core.py",> line 2868, in expand
'GroupByKey cannot be applied to an unbounded ' +
ValueError: GroupByKey cannot be applied to an unbounded PCollection with global windowing and a default trigger
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file '<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 63
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* 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
BUILD FAILED in 32m 58s
15 actionable tasks: 5 executed, 10 up-to-date
Publishing build scan...
https://gradle.com/s/wvatpjpwsagek
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Uninstalling packaging-22.0:
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Successfully installed PyJWT-2.6.0 apache-beam-2.45.0.dev0 attrs-22.1.0 azure-core-1.26.1 azure-identity-1.12.0 azure-storage-blob-12.14.1 boto3-1.26.28 botocore-1.29.28 cachetools-4.2.4 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.0.4 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.15.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.4.1 google-cloud-bigquery-storage-2.16.2 google-cloud-bigtable-1.7.3 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.11 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.24.0 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.57.0 greenlet-2.0.1 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.61.0 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msal-1.20.0 msal-extensions-1.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.6.1 orjson-3.8.3 overrides-6.5.0 packaging-21.3 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 portalocker-2.6.0 proto-plus-1.22.1 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pyparsing-3.0.9 pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 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.utils.subprocess_server:Using pre-built snapshot at <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar>
INFO:root:Starting a JAR-based expansion service from JAR <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar>
INFO:apache_beam.utils.subprocess_server:Starting service with ['java' '-jar' '<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar'> '46933' '--filesToStage=<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar']>
INFO:apache_beam.utils.subprocess_server:Starting expansion service at localhost:46933
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 1:05:38 AM org.apache.beam.sdk.expansion.service.ExpansionService loadRegisteredTransforms
INFO:apache_beam.utils.subprocess_server:INFO: Registering external transforms: [beam:transform:org.apache.beam:kafka_read_with_metadata:v1, beam:transform:org.apache.beam:kafka_read_without_metadata:v1, beam:transform:org.apache.beam:kafka_write:v1, beam:external:java:generate_sequence:v1]
INFO:apache_beam.utils.subprocess_server:
INFO:apache_beam.utils.subprocess_server:Registered transforms:
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_read_with_metadata:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@e50a6f6
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_read_without_metadata:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@14ec4505
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_write:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@53ca01a2
INFO:apache_beam.utils.subprocess_server: beam:external:java:generate_sequence:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@358c99f5
INFO:apache_beam.utils.subprocess_server:
INFO:apache_beam.utils.subprocess_server:Registered SchemaTransformProviders:
INFO:apache_beam.utils.subprocess_server: beam:schematransform:org.apache.beam:kafka_read:v1
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 1:05:40 AM org.apache.beam.sdk.expansion.service.ExpansionService expand
INFO:apache_beam.utils.subprocess_server:INFO: Expanding 'WriteToKafka' with URN 'beam:transform:org.apache.beam:kafka_write:v1'
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 1:05:40 AM org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader payloadToConfig
INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.io.kafka.KafkaIO$Write$External$Configuration' has no schema registered. Attempting to construct with setter approach.
INFO:apache_beam.utils.subprocess_server:Dec 13, 2022 1:05:40 AM org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader payloadToConfig
INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.io.kafka.KafkaIO$Write$External$Configuration' has no schema registered. Attempting to construct with setter approach.
INFO:apache_beam.runners.dataflow.dataflow_runner:Automatically enabling Dataflow Runner V2 since the pipeline used cross-language transforms.
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
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-fnapi:beam-master-20221205
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221205" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f8afc0e6710> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f8afc0e6ef0> ====================
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/
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/beamapp-jenkins-1213010543-426787-4ggwegav.1670893543.427130/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT-9N8UizKB9YJkvJd9OnJCqv29_cdN3xAY8L6O7oQ7r34.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213010543-426787-4ggwegav.1670893543.427130/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT-9N8UizKB9YJkvJd9OnJCqv29_cdN3xAY8L6O7oQ7r34.jar in 3 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213010543-426787-4ggwegav.1670893543.427130/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213010543-426787-4ggwegav.1670893543.427130/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213010543-426787-4ggwegav.1670893543.427130/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1213010543-426787-4ggwegav.1670893543.427130/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221213010543428292-3564'
createTime: '2022-12-13T01:05:47.753881Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-12-12_17_05_47-14719710665131454267'
location: 'us-central1'
name: 'beamapp-jenkins-1213010543-426787-4ggwegav'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-12-13T01:05:47.753881Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-12-12_17_05_47-14719710665131454267]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-12-12_17_05_47-14719710665131454267
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-12_17_05_47-14719710665131454267?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_17_05_47-14719710665131454267 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:50.538Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:52.946Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:52.975Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.044Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.080Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.106Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.164Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.204Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate records/Map(<lambda at iobase.py:908>) into Generate records/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.244Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Generate records/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.292Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.326Z: JOB_MESSAGE_DETAILED: Fusing consumer Count records into ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.369Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Count records
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.403Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous) into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.435Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter) into WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.472Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.501Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.535Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.573Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.702Z: JOB_MESSAGE_DEBUG: Executing wait step start10
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.766Z: JOB_MESSAGE_BASIC: Executing operation Generate records/Impulse+Generate records/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.813Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:05:53.844Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_17_05_47-14719710665131454267 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:06:21.175Z: 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:2022-12-13T01:06:38.607Z: 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:2022-12-13T01:08:32.363Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:14:52.352Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:14:54.154Z: JOB_MESSAGE_BASIC: Finished operation Generate records/Impulse+Generate records/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:14:54.239Z: JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6-split-with-sizing-out3" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:14:54.314Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing+Count records+Measure time+WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)+WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:23:59.730Z: JOB_MESSAGE_BASIC: Finished operation ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing+Count records+Measure time+WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)+WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:23:59.786Z: JOB_MESSAGE_DEBUG: Executing success step success8
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:23:59.837Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:23:59.884Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:23:59.909Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:26:18.326Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 5 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:26:18.367Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-13T01:26:18.388Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_17_05_47-14719710665131454267 is in state JOB_STATE_DONE
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results for test: 927b8d78464e435ab266e56967bd4e12 and timestamp: 1670894789.0851648:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: write_count_records_total_messages Value: 100000000
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: write_runtime Value: 540
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 129, in <module>
getattr(sys.modules[__name__], test_options.test_class)().run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 58, in run
read_test.run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 148, in run
self.test()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 107, in test
| 'Count' >> beam.combiners.Count.Globally())
TypeError: __init__() missing 1 required positional argument: 'topics'
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file '<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 63
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* 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
BUILD FAILED in 22m 21s
15 actionable tasks: 5 executed, 10 up-to-date
Publishing build scan...
https://gradle.com/s/3g2gjiuegcuya
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Building wheels for collected packages: apache-beam
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Stored in directory: /home/jenkins/.cache/pip/wheels/bb/36/fb/ba3c413be91259c08471767141df011e58441eca2deb58e74f
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, PyJWT, pyhamcrest, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pydot, pandas, packaging, mock, hypothesis, httplib2, grpcio-status, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, deprecation, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, boto3, apache-beam, pytest-xdist, msal, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, msal-extensions, google-cloud-pubsublite, azure-identity
Attempting uninstall: packaging
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.utils.subprocess_server:Using pre-built snapshot at <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar>
INFO:root:Starting a JAR-based expansion service from JAR <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar>
INFO:apache_beam.utils.subprocess_server:Starting service with ['java' '-jar' '<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar'> '45281' '--filesToStage=<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/java/io/expansion-service/build/libs/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT.jar']>
INFO:apache_beam.utils.subprocess_server:Starting expansion service at localhost:45281
INFO:apache_beam.utils.subprocess_server:Dec 12, 2022 10:37:09 PM org.apache.beam.sdk.expansion.service.ExpansionService loadRegisteredTransforms
INFO:apache_beam.utils.subprocess_server:INFO: Registering external transforms: [beam:transform:org.apache.beam:kafka_read_with_metadata:v1, beam:transform:org.apache.beam:kafka_read_without_metadata:v1, beam:transform:org.apache.beam:kafka_write:v1, beam:external:java:generate_sequence:v1]
INFO:apache_beam.utils.subprocess_server:
INFO:apache_beam.utils.subprocess_server:Registered transforms:
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_read_with_metadata:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@e50a6f6
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_read_without_metadata:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@14ec4505
INFO:apache_beam.utils.subprocess_server: beam:transform:org.apache.beam:kafka_write:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@53ca01a2
INFO:apache_beam.utils.subprocess_server: beam:external:java:generate_sequence:v1: org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader$1@358c99f5
INFO:apache_beam.utils.subprocess_server:
INFO:apache_beam.utils.subprocess_server:Registered SchemaTransformProviders:
INFO:apache_beam.utils.subprocess_server: beam:schematransform:org.apache.beam:kafka_read:v1
WARNING:root:Waiting for grpc channel to be ready at localhost:45281.
INFO:apache_beam.utils.subprocess_server:Dec 12, 2022 10:37:12 PM org.apache.beam.sdk.expansion.service.ExpansionService expand
INFO:apache_beam.utils.subprocess_server:INFO: Expanding 'WriteToKafka' with URN 'beam:transform:org.apache.beam:kafka_write:v1'
INFO:apache_beam.utils.subprocess_server:Dec 12, 2022 10:37:12 PM org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader payloadToConfig
INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.io.kafka.KafkaIO$Write$External$Configuration' has no schema registered. Attempting to construct with setter approach.
INFO:apache_beam.utils.subprocess_server:Dec 12, 2022 10:37:13 PM org.apache.beam.sdk.expansion.service.ExpansionService$ExternalTransformRegistrarLoader payloadToConfig
INFO:apache_beam.utils.subprocess_server:WARNING: Configuration class 'org.apache.beam.sdk.io.kafka.KafkaIO$Write$External$Configuration' has no schema registered. Attempting to construct with setter approach.
INFO:apache_beam.runners.dataflow.dataflow_runner:Automatically enabling Dataflow Runner V2 since the pipeline used cross-language transforms.
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
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-fnapi:beam-master-20221205
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221205" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f76587668c0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f76587670e0> ====================
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/
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/beamapp-jenkins-1212223718-199181-qio6grt6.1670884638.200019/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT-9N8UizKB9YJkvJd9OnJCqv29_cdN3xAY8L6O7oQ7r34.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1212223718-199181-qio6grt6.1670884638.200019/beam-sdks-java-io-expansion-service-2.45.0-SNAPSHOT-9N8UizKB9YJkvJd9OnJCqv29_cdN3xAY8L6O7oQ7r34.jar in 4 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1212223718-199181-qio6grt6.1670884638.200019/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1212223718-199181-qio6grt6.1670884638.200019/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1212223718-199181-qio6grt6.1670884638.200019/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/beamapp-jenkins-1212223718-199181-qio6grt6.1670884638.200019/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221212223718202482-8764'
createTime: '2022-12-12T22:37:24.069245Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-12-12_14_37_23-6290045868276319172'
location: 'us-central1'
name: 'beamapp-jenkins-1212223718-199181-qio6grt6'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-12-12T22:37:24.069245Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-12-12_14_37_23-6290045868276319172]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-12-12_14_37_23-6290045868276319172
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-12_14_37_23-6290045868276319172?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_14_37_23-6290045868276319172 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:26.811Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:27.816Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:27.845Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:27.912Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:27.951Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:27.987Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.027Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.066Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate records/Map(<lambda at iobase.py:908>) into Generate records/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.089Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Generate records/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.122Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.145Z: JOB_MESSAGE_DETAILED: Fusing consumer Count records into ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.171Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Count records
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.193Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous) into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.228Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter) into WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.269Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.295Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.316Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.337Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.461Z: JOB_MESSAGE_DEBUG: Executing wait step start10
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.519Z: JOB_MESSAGE_BASIC: Executing operation Generate records/Impulse+Generate records/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.568Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:28.597Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_14_37_23-6290045868276319172 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T22:37:44.151Z: 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:2022-12-12T22:38:12.803Z: 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:2022-12-12T22:38:44.791Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T23:37:29.047Z: JOB_MESSAGE_ERROR: Workflow failed. Causes: The Dataflow job appears to be stuck because no **** activity has been seen in the last 1h. Please check the **** logs in Stackdriver Logging. You can also get help with Cloud Dataflow at https://cloud.google.com/dataflow/support.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T23:37:29.124Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-12-12_14_37_23-6290045868276319172.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T23:37:29.147Z: JOB_MESSAGE_ERROR: The Dataflow job appears to be stuck because no **** activity has been seen in the last 1h. Please check the **** logs in Stackdriver Logging. You can also get help with Cloud Dataflow at https://cloud.google.com/dataflow/support.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T23:37:29.231Z: JOB_MESSAGE_WARNING: Unable to delete temp files: "gs://temp-storage-for-perf-tests/beamapp-jenkins-1212223718-199181-qio6grt6.1670884638.200019/dax-tmp-2022-12-12_14_37_23-6290045868276319172-S01-0-8fdec782bf7dbcb2/tmp-8fdec782bf7dbc9f@DAX.sdfmeta."
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T23:37:29.257Z: JOB_MESSAGE_WARNING: S01:Generate records/Impulse+Generate records/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing failed.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T23:37:29.285Z: JOB_MESSAGE_BASIC: Finished operation Generate records/Impulse+Generate records/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Generate-records-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T23:37:29.799Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T23:37:29.840Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T23:37:29.861Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T23:39:44.617Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 5 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T23:39:44.663Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-12T23:39:44.682Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-12_14_37_23-6290045868276319172 is in state JOB_STATE_FAILED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-12-12_14_37_23-6290045868276319172?project=<ProjectId>
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 130, in <module>
getattr(sys.modules[__name__], test_options.test_class)().run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/io/external/xlang_kafkaio_perf_test.py",> line 58, in run
write_test.run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1558, in wait_until_finish
self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: FAILED, Error:
The Dataflow job appears to be stuck because no **** activity has been seen in the last 1h. Please check the **** logs in Stackdriver Logging. You can also get help with Cloud Dataflow at https://cloud.google.com/dataflow/support.
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file '<https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 63
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* 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
BUILD FAILED in 1h 5m 24s
15 actionable tasks: 5 executed, 10 up-to-date
Publishing build scan...
https://gradle.com/s/nhnophidzbk44
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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beam_PerformanceTests_xlang_KafkaIO_batch_Python - Build # 7 - Aborted:
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beam_PerformanceTests_xlang_KafkaIO_batch_Python - Build # 6 - Aborted:
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