See <https://ci-beam.apache.org/job/beam_PerformanceTests_xlang_KafkaIO_batch_Python/11/display/redirect>
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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 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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: 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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. 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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... 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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20221213024223196797-7420' createTime: '2022-12-13T02:42:27.552697Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-12-12_18_42_26-18294836854384516565' location: 'us-central1' name: 'beamapp-jenkins-1213024223-195329-6nm2jmne' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-12-13T02:42:27.552697Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> 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/[email protected]." 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 --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
