See <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/165/display/redirect?page=changes>
Changes: [noreply] Bump github.com/aws/aws-sdk-go-v2/config in /sdks (#28639) ------------------------------------------ [...truncated 152.36 KB...] [32mINFO [0m root:environments.py:313 Using provided Python SDK container image: gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest [32mINFO [0m root:environments.py:320 Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest" for Docker environment [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function pack_combiners at 0x7f1879d770d0> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7f1879d778b0> ==================== [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925145541-890663-fm2zmwbf.1695653741.890829/beam-sdks-java-io-expansion-service-2.52.0-SNAPSHOT-k7sLide7NEUrBv6fwBcMTRkcgD7LBhyvfNvwSILnXHk.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925145541-890663-fm2zmwbf.1695653741.890829/beam-sdks-java-io-expansion-service-2.52.0-SNAPSHOT-k7sLide7NEUrBv6fwBcMTRkcgD7LBhyvfNvwSILnXHk.jar in 3 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925145541-890663-fm2zmwbf.1695653741.890829/apache_beam-2.52.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925145541-890663-fm2zmwbf.1695653741.890829/apache_beam-2.52.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925145541-890663-fm2zmwbf.1695653741.890829/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925145541-890663-fm2zmwbf.1695653741.890829/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: <Job clientRequestId: '20230925145541891616-5743' createTime: '2023-09-25T14:55:47.028299Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-09-25_07_55_46-6290997899597706510' location: 'us-central1' name: 'beamapp-jenkins-0925145541-890663-fm2zmwbf' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-09-25T14:55:47.028299Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job with id: [2023-09-25_07_55_46-6290997899597706510] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 2023-09-25_07_55_46-6290997899597706510 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:847 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-25_07_55_46-6290997899597706510?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-25_07_55_46-6290997899597706510?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:58 Console log: [32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:59 https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-25_07_55_46-6290997899597706510?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:154 Job 2023-09-25_07_55_46-6290997899597706510 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:55:50.728Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:55:53.606Z: JOB_MESSAGE_BASIC: Executing operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:55:53.668Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:55:54.434Z: JOB_MESSAGE_BASIC: Finished operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:56:02.843Z: JOB_MESSAGE_BASIC: Executing operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/Impulse+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/MapElements/Map/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Split/ParMultiDo(Split)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Pair with random key/ParMultiDo(AssignShard)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/Window.Into()/Window.Assign+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/ReifyOriginalTimestamps/ParDo(Anonymous)/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Reify+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:56:09.178Z: 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 [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:33.949Z: JOB_MESSAGE_BASIC: All workers have finished the startup processes and began to receive work requests. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:36.230Z: JOB_MESSAGE_BASIC: Finished operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/Impulse+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/MapElements/Map/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Split/ParMultiDo(Split)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Pair with random key/ParMultiDo(AssignShard)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/Window.Into()/Window.Assign+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/ReifyOriginalTimestamps/ParDo(Anonymous)/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Reify+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:36.310Z: JOB_MESSAGE_BASIC: Executing operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:36.544Z: JOB_MESSAGE_BASIC: Finished operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:36.606Z: JOB_MESSAGE_BASIC: Executing operation assert_that/Group/CoGroupByKeyImpl/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:36.975Z: JOB_MESSAGE_BASIC: Finished operation assert_that/Group/CoGroupByKeyImpl/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:37.065Z: JOB_MESSAGE_BASIC: Executing operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Read+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/GroupByWindow+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/ExpandIterable/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/RestoreOriginalTimestamps/ReifyTimestamps.RemoveWildcard/ParDo(Anonymous)/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/RestoreOriginalTimestamps/Reify.ExtractTimestampsFromValues/ParDo(Anonymous)/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Values/Values/Map/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Read/ParMultiDo(Read)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/StripIds/ParMultiDo(StripIds)+ReadFromKafka/Remove Kafka Metadata/ParMultiDo(Anonymous)+assert_that/WindowInto(WindowIntoFn)+assert_that/ToVoidKey+assert_that/Group/CoGroupByKeyImpl/Tag[1]+assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity+assert_that/Group/CoGroupByKeyImpl/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:37.086Z: JOB_MESSAGE_BASIC: Executing operation assert_that/Create/Impulse+assert_that/Create/FlatMap(<lambda at core.py:3744>)+assert_that/Create/Map(decode)+assert_that/Group/CoGroupByKeyImpl/Tag[0]+assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity+assert_that/Group/CoGroupByKeyImpl/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:37.387Z: JOB_MESSAGE_BASIC: Finished operation assert_that/Create/Impulse+assert_that/Create/FlatMap(<lambda at core.py:3744>)+assert_that/Create/Map(decode)+assert_that/Group/CoGroupByKeyImpl/Tag[0]+assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity+assert_that/Group/CoGroupByKeyImpl/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:38.340Z: JOB_MESSAGE_BASIC: Finished operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Read+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/GroupByWindow+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/ExpandIterable/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/RestoreOriginalTimestamps/ReifyTimestamps.RemoveWildcard/ParDo(Anonymous)/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/RestoreOriginalTimestamps/Reify.ExtractTimestampsFromValues/ParDo(Anonymous)/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Values/Values/Map/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Read/ParMultiDo(Read)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/StripIds/ParMultiDo(StripIds)+ReadFromKafka/Remove Kafka Metadata/ParMultiDo(Anonymous)+assert_that/WindowInto(WindowIntoFn)+assert_that/ToVoidKey+assert_that/Group/CoGroupByKeyImpl/Tag[1]+assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity+assert_that/Group/CoGroupByKeyImpl/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:38.391Z: JOB_MESSAGE_BASIC: Executing operation assert_that/Group/CoGroupByKeyImpl/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:38.477Z: JOB_MESSAGE_BASIC: Finished operation assert_that/Group/CoGroupByKeyImpl/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:38.519Z: JOB_MESSAGE_BASIC: Executing operation assert_that/Group/CoGroupByKeyImpl/GroupByKey/Read+assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values)+assert_that/Group/RestoreTags+assert_that/Unkey+assert_that/Match [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:38.870Z: JOB_MESSAGE_BASIC: Finished operation assert_that/Group/CoGroupByKeyImpl/GroupByKey/Read+assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values)+assert_that/Group/RestoreTags+assert_that/Unkey+assert_that/Match [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T14:59:39.118Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:02:04.224Z: JOB_MESSAGE_BASIC: Worker pool stopped. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:154 Job 2023-09-25_07_55_46-6290997899597706510 is in state JOB_STATE_DONE [32mPASSED[0m apache_beam/io/external/xlang_kafkaio_it_test.py::CrossLanguageKafkaIOTest::test_hosted_kafkaio_populated_key [1m-------------------------------- live log call ---------------------------------[0m [32mINFO [0m apache_beam.runners.portability.stager:stager.py:322 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/build/apache_beam-2.52.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl";> to staging location. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:399 Pipeline has additional dependencies to be installed in SDK worker 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 [32mINFO [0m root:environments.py:313 Using provided Python SDK container image: gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest [32mINFO [0m root:environments.py:320 Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest" for Docker environment [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function pack_combiners at 0x7f1879d770d0> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7f1879d778b0> ==================== [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925150213-972903-9ee07l40.1695654133.973062/beam-sdks-java-io-expansion-service-2.52.0-SNAPSHOT-k7sLide7NEUrBv6fwBcMTRkcgD7LBhyvfNvwSILnXHk.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925150213-972903-9ee07l40.1695654133.973062/beam-sdks-java-io-expansion-service-2.52.0-SNAPSHOT-k7sLide7NEUrBv6fwBcMTRkcgD7LBhyvfNvwSILnXHk.jar in 3 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925150213-972903-9ee07l40.1695654133.973062/apache_beam-2.52.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925150213-972903-9ee07l40.1695654133.973062/apache_beam-2.52.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925150213-972903-9ee07l40.1695654133.973062/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925150213-972903-9ee07l40.1695654133.973062/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: <Job clientRequestId: '20230925150213973867-5958' createTime: '2023-09-25T15:02:20.670185Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-09-25_08_02_18-17614379296179530134' location: 'us-central1' name: 'beamapp-jenkins-0925150213-972903-9ee07l40' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-09-25T15:02:20.670185Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job with id: [2023-09-25_08_02_18-17614379296179530134] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 2023-09-25_08_02_18-17614379296179530134 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:847 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-25_08_02_18-17614379296179530134?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-25_08_02_18-17614379296179530134?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:58 Console log: [32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:59 https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-25_08_02_18-17614379296179530134?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:154 Job 2023-09-25_08_02_18-17614379296179530134 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:02:25.943Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:02:28.568Z: JOB_MESSAGE_BASIC: Executing operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:02:28.629Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:02:29.261Z: JOB_MESSAGE_BASIC: Finished operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:02:37.790Z: JOB_MESSAGE_BASIC: Executing operation Generate/Impulse+Generate/FlatMap(<lambda at core.py:3744>)+Generate/MaybeReshuffle/Reshuffle/AddRandomKeys+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:03:00.721Z: 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 [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:05:50.404Z: JOB_MESSAGE_BASIC: All workers have finished the startup processes and began to receive work requests. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:05:50.726Z: JOB_MESSAGE_BASIC: Finished operation Generate/Impulse+Generate/FlatMap(<lambda at core.py:3744>)+Generate/MaybeReshuffle/Reshuffle/AddRandomKeys+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:05:50.790Z: JOB_MESSAGE_BASIC: Executing operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:05:50.989Z: JOB_MESSAGE_BASIC: Finished operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:05:51.050Z: JOB_MESSAGE_BASIC: Executing operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Generate/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Generate/Map(decode)+MakeKV+WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)+WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:05:54.075Z: JOB_MESSAGE_BASIC: Finished operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Generate/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Generate/Map(decode)+MakeKV+WriteToKafka/Kafka ProducerRecord/Map/ParMultiDo(Anonymous)+WriteToKafka/KafkaIO.WriteRecords/ParDo(KafkaWriter)/ParMultiDo(KafkaWriter) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:05:54.265Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:07:59.513Z: JOB_MESSAGE_BASIC: Worker pool stopped. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:154 Job 2023-09-25_08_02_18-17614379296179530134 is in state JOB_STATE_DONE [32mINFO [0m apache_beam.runners.portability.stager:stager.py:322 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/build/apache_beam-2.52.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl";> to staging location. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:399 Pipeline has additional dependencies to be installed in SDK worker 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 [32mINFO [0m root:environments.py:313 Using provided Python SDK container image: gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest [32mINFO [0m root:environments.py:320 Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest" for Docker environment [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function pack_combiners at 0x7f1879d770d0> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7f1879d778b0> ==================== [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925150807-653359-lod6r49m.1695654487.653520/beam-sdks-java-io-expansion-service-2.52.0-SNAPSHOT-k7sLide7NEUrBv6fwBcMTRkcgD7LBhyvfNvwSILnXHk.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925150807-653359-lod6r49m.1695654487.653520/beam-sdks-java-io-expansion-service-2.52.0-SNAPSHOT-k7sLide7NEUrBv6fwBcMTRkcgD7LBhyvfNvwSILnXHk.jar in 3 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925150807-653359-lod6r49m.1695654487.653520/apache_beam-2.52.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925150807-653359-lod6r49m.1695654487.653520/apache_beam-2.52.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925150807-653359-lod6r49m.1695654487.653520/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0925150807-653359-lod6r49m.1695654487.653520/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: <Job clientRequestId: '20230925150807654374-8849' createTime: '2023-09-25T15:08:12.756013Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-09-25_08_08_12-7768900739806813203' location: 'us-central1' name: 'beamapp-jenkins-0925150807-653359-lod6r49m' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-09-25T15:08:12.756013Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job with id: [2023-09-25_08_08_12-7768900739806813203] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 2023-09-25_08_08_12-7768900739806813203 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:847 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-25_08_08_12-7768900739806813203?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-25_08_08_12-7768900739806813203?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:58 Console log: [32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:59 https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-25_08_08_12-7768900739806813203?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:154 Job 2023-09-25_08_08_12-7768900739806813203 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:08:16.017Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:08:18.842Z: JOB_MESSAGE_BASIC: Executing operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:08:18.908Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:08:19.371Z: JOB_MESSAGE_BASIC: Finished operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:08:28.108Z: JOB_MESSAGE_BASIC: Executing operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/Impulse+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/MapElements/Map/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Split/ParMultiDo(Split)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Pair with random key/ParMultiDo(AssignShard)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/Window.Into()/Window.Assign+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/ReifyOriginalTimestamps/ParDo(Anonymous)/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Reify+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:08:33.061Z: 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 [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:43.161Z: JOB_MESSAGE_BASIC: All workers have finished the startup processes and began to receive work requests. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:47.497Z: JOB_MESSAGE_BASIC: Finished operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/Impulse+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Create/MapElements/Map/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Split/ParMultiDo(Split)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Pair with random key/ParMultiDo(AssignShard)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/Window.Into()/Window.Assign+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/ReifyOriginalTimestamps/ParDo(Anonymous)/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Reify+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:47.564Z: JOB_MESSAGE_BASIC: Executing operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:48.402Z: JOB_MESSAGE_BASIC: Finished operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:48.455Z: JOB_MESSAGE_BASIC: Executing operation assert_that/Group/CoGroupByKeyImpl/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:48.553Z: JOB_MESSAGE_BASIC: Finished operation assert_that/Group/CoGroupByKeyImpl/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:48.651Z: JOB_MESSAGE_BASIC: Executing operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Read+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/GroupByWindow+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/ExpandIterable/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/RestoreOriginalTimestamps/ReifyTimestamps.RemoveWildcard/ParDo(Anonymous)/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/RestoreOriginalTimestamps/Reify.ExtractTimestampsFromValues/ParDo(Anonymous)/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Values/Values/Map/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Read/ParMultiDo(Read)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/StripIds/ParMultiDo(StripIds)+ReadFromKafka/Remove Kafka Metadata/ParMultiDo(Anonymous)+assert_that/WindowInto(WindowIntoFn)+assert_that/ToVoidKey+assert_that/Group/CoGroupByKeyImpl/Tag[1]+assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity+assert_that/Group/CoGroupByKeyImpl/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:48.674Z: JOB_MESSAGE_BASIC: Executing operation assert_that/Create/Impulse+assert_that/Create/FlatMap(<lambda at core.py:3744>)+assert_that/Create/Map(decode)+assert_that/Group/CoGroupByKeyImpl/Tag[0]+assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity+assert_that/Group/CoGroupByKeyImpl/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:48.981Z: JOB_MESSAGE_BASIC: Finished operation assert_that/Create/Impulse+assert_that/Create/FlatMap(<lambda at core.py:3744>)+assert_that/Create/Map(decode)+assert_that/Group/CoGroupByKeyImpl/Tag[0]+assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity+assert_that/Group/CoGroupByKeyImpl/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:50.741Z: JOB_MESSAGE_BASIC: Finished operation ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/Read+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/GroupByKey/GroupByWindow+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/ExpandIterable/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/RestoreOriginalTimestamps/ReifyTimestamps.RemoveWildcard/ParDo(Anonymous)/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Reshuffle/RestoreOriginalTimestamps/Reify.ExtractTimestampsFromValues/ParDo(Anonymous)/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Reshuffle/Values/Values/Map/ParMultiDo(Anonymous)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/Read/ParMultiDo(Read)+ReadFromKafka/KafkaIO.Read/KafkaIO.Read.ReadFromKafkaViaUnbounded/Read(KafkaUnboundedSource)/StripIds/ParMultiDo(StripIds)+ReadFromKafka/Remove Kafka Metadata/ParMultiDo(Anonymous)+assert_that/WindowInto(WindowIntoFn)+assert_that/ToVoidKey+assert_that/Group/CoGroupByKeyImpl/Tag[1]+assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity+assert_that/Group/CoGroupByKeyImpl/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:50.789Z: JOB_MESSAGE_BASIC: Executing operation assert_that/Group/CoGroupByKeyImpl/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:50.838Z: JOB_MESSAGE_BASIC: Finished operation assert_that/Group/CoGroupByKeyImpl/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:50.887Z: JOB_MESSAGE_BASIC: Executing operation assert_that/Group/CoGroupByKeyImpl/GroupByKey/Read+assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values)+assert_that/Group/RestoreTags+assert_that/Unkey+assert_that/Match [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:51.261Z: JOB_MESSAGE_BASIC: Finished operation assert_that/Group/CoGroupByKeyImpl/GroupByKey/Read+assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values)+assert_that/Group/RestoreTags+assert_that/Unkey+assert_that/Match [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:11:51.462Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:204 2023-09-25T15:13:59.930Z: JOB_MESSAGE_BASIC: Worker pool stopped. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:154 Job 2023-09-25_08_08_12-7768900739806813203 is in state JOB_STATE_DONE [32mPASSED[0m [33m=============================== warnings summary ===============================[0m ../../build/gradleenv/-1734967051/lib/python3.8/site-packages/hdfs/config.py:28 <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/hdfs/config.py>:28: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses from imp import load_source ../../build/gradleenv/-1734967051/lib/python3.8/site-packages/google/rpc/__init__.py:18 <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/google/rpc/__init__.py>:18: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html import pkg_resources ../../build/gradleenv/-1734967051/lib/python3.8/site-packages/pkg_resources/__init__.py:2871: 19 warnings <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/pkg_resources/__init__.py>:2871: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`. Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages declare_namespace(pkg) ../../build/gradleenv/-1734967051/lib/python3.8/site-packages/pkg_resources/__init__.py:2871: 16 warnings <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/pkg_resources/__init__.py>:2871: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.cloud')`. Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages declare_namespace(pkg) ../../build/gradleenv/-1734967051/lib/python3.8/site-packages/pkg_resources/__init__.py:2350 ../../build/gradleenv/-1734967051/lib/python3.8/site-packages/pkg_resources/__init__.py:2350 ../../build/gradleenv/-1734967051/lib/python3.8/site-packages/pkg_resources/__init__.py:2350 ../../build/gradleenv/-1734967051/lib/python3.8/site-packages/pkg_resources/__init__.py:2350 <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/pkg_resources/__init__.py>:2350: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`. Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages declare_namespace(parent) ../../build/gradleenv/-1734967051/lib/python3.8/site-packages/pkg_resources/__init__.py:2871 <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/pkg_resources/__init__.py>:2871: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.logging')`. Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages declare_namespace(pkg) ../../build/gradleenv/-1734967051/lib/python3.8/site-packages/pkg_resources/__init__.py:2871 <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/pkg_resources/__init__.py>:2871: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.iam')`. Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages declare_namespace(pkg) ../../build/gradleenv/-1734967051/lib/python3.8/site-packages/google/rpc/__init__.py:20 <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/google/rpc/__init__.py>:20: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.rpc')`. Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages pkg_resources.declare_namespace(__name__) apache_beam/io/external/xlang_kafkaio_it_test.py::CrossLanguageKafkaIOTest::test_hosted_kafkaio_null_key apache_beam/io/external/xlang_kafkaio_it_test.py::CrossLanguageKafkaIOTest::test_hosted_kafkaio_null_key apache_beam/io/external/xlang_kafkaio_it_test.py::CrossLanguageKafkaIOTest::test_hosted_kafkaio_populated_key apache_beam/io/external/xlang_kafkaio_it_test.py::CrossLanguageKafkaIOTest::test_hosted_kafkaio_populated_key <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/apache_beam/transforms/external.py>:725: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported self._expansion_service, pipeline.options) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/pytest_ioCrossLanguage.xml> - [33m=== [32m2 passed[0m, [33m[1m17 skipped[0m, [33m[1m7197 deselected[0m, [33m[1m48 warnings[0m[33m in 1497.40s (0:24:57)[0m[33m ===[0m > Task :sdks:python:test-suites:dataflow:py38:ioCrossLanguageCleanup Stopping expansion service pid: 236659. Skipping invalid pid: 236660. > Task :sdks:python:test-suites:xlang:fnApiJobServerCleanup Killing process at 228910 FAILURE: Build failed with an exception. * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py311:setupVirtualenv'. > Process 'command 'sh'' finished with non-zero exit value 1 * Try: > Run with --stacktrace option to get the stack trace. > Run with --info or --debug option to get more log output. * Get more help at https://help.gradle.org Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0. You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins. See https://docs.gradle.org/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness. Please consult deprecation warnings for more details. BUILD FAILED in 35m 46s 96 actionable tasks: 66 executed, 26 from cache, 4 up-to-date Publishing build scan... https://ge.apache.org/s/3d3qsdyru4dvm 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]
