See <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_Gcp_Dataflow/796/display/redirect>
Changes: ------------------------------------------ [...truncated 545.71 KB...] [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T02:56:01.493Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T02:56:03.583Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3759>)+Create/Map(decode)+WriteToBigTable/ParDo(_DirectRowMutationsToBeamRow)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/MapElements/Map/ParMultiDo(Anonymous)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/BigtableIO.Write/BigtableIO.WriteWithResults/ParDo(BigtableWriter)/ParMultiDo(BigtableWriter) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T02:56:03.646Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T02:56:25.563Z: 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:200 2023-10-13T02:59:00.270Z: 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:200 2023-10-13T02:59:09.915Z: JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at core.py:3759>)+Create/Map(decode)+WriteToBigTable/ParDo(_DirectRowMutationsToBeamRow)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/MapElements/Map/ParMultiDo(Anonymous)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/BigtableIO.Write/BigtableIO.WriteWithResults/ParDo(BigtableWriter)/ParMultiDo(BigtableWriter) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T02:59:10.151Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:01:20.072Z: JOB_MESSAGE_BASIC: Worker pool stopped. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-12_19_55_57-15617548635552926298 is in state JOB_STATE_DONE [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:190 Deleting table [test-table-1697165743-0f692d] [32mPASSED[0m apache_beam/io/gcp/bigtableio_it_test.py::TestWriteToBigtableXlangIT::test_delete_cells_with_timerange_mutation [1m-------------------------------- live log call ---------------------------------[0m [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:186 Created table [test-table-1697166088-45d617] [32mINFO [0m apache_beam.runners.portability.stager:stager.py:323 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_Gcp_Dataflow/ws/src/sdks/python/build/apache_beam-2.52.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl";> to staging location. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:395 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_python3.11_sdk:latest [32mINFO [0m root:environments.py:320 Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.11_sdk:latest" for Docker environment [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function pack_combiners at 0x7ff24f105080> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7ff24f105940> ==================== [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1013030139-918481-nf7i0m7r.1697166099.918628/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-DX0KnSND-h-pxHBR09glnK5wMAuT_emiQ5FBLDdWIQ8.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1013030139-918481-nf7i0m7r.1697166099.918628/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-DX0KnSND-h-pxHBR09glnK5wMAuT_emiQ5FBLDdWIQ8.jar in 6 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1013030139-918481-nf7i0m7r.1697166099.918628/apache_beam-2.52.0.dev0-cp311-cp311-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-1013030139-918481-nf7i0m7r.1697166099.918628/apache_beam-2.52.0.dev0-cp311-cp311-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-1013030139-918481-nf7i0m7r.1697166099.918628/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-1013030139-918481-nf7i0m7r.1697166099.918628/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: <Job clientRequestId: '20231013030139919321-3308' createTime: '2023-10-13T03:01:47.853966Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-10-12_20_01_47-5979053263613098859' location: 'us-central1' name: 'beamapp-jenkins-1013030139-918481-nf7i0m7r' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-10-13T03:01:47.853966Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job with id: [2023-10-12_20_01_47-5979053263613098859] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 2023-10-12_20_01_47-5979053263613098859 [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-central1/2023-10-12_20_01_47-5979053263613098859?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-12_20_01_47-5979053263613098859?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-central1/2023-10-12_20_01_47-5979053263613098859?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-12_20_01_47-5979053263613098859 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:01:52.434Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:01:55.225Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3759>)+Create/Map(decode)+WriteToBigTable/ParDo(_DirectRowMutationsToBeamRow)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/MapElements/Map/ParMultiDo(Anonymous)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/BigtableIO.Write/BigtableIO.WriteWithResults/ParDo(BigtableWriter)/ParMultiDo(BigtableWriter) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:01:55.339Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:02:09.758Z: 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:200 2023-10-13T03:05:13.886Z: 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:200 2023-10-13T03:05:24.708Z: JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at core.py:3759>)+Create/Map(decode)+WriteToBigTable/ParDo(_DirectRowMutationsToBeamRow)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/MapElements/Map/ParMultiDo(Anonymous)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/BigtableIO.Write/BigtableIO.WriteWithResults/ParDo(BigtableWriter)/ParMultiDo(BigtableWriter) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:05:24.934Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:07:46.385Z: JOB_MESSAGE_BASIC: Worker pool stopped. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-12_20_01_47-5979053263613098859 is in state JOB_STATE_DONE [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:190 Deleting table [test-table-1697166088-45d617] [32mPASSED[0m apache_beam/io/gcp/bigtableio_it_test.py::TestWriteToBigtableXlangIT::test_delete_column_family_mutation [1m-------------------------------- live log call ---------------------------------[0m [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:186 Created table [test-table-1697166473-62dfbf] [32mINFO [0m apache_beam.runners.portability.stager:stager.py:323 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_Gcp_Dataflow/ws/src/sdks/python/build/apache_beam-2.52.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl";> to staging location. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:395 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_python3.11_sdk:latest [32mINFO [0m root:environments.py:320 Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.11_sdk:latest" for Docker environment [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function pack_combiners at 0x7ff24f105080> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7ff24f105940> ==================== [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1013030807-125797-9ownbqfb.1697166487.125953/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-DX0KnSND-h-pxHBR09glnK5wMAuT_emiQ5FBLDdWIQ8.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1013030807-125797-9ownbqfb.1697166487.125953/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-DX0KnSND-h-pxHBR09glnK5wMAuT_emiQ5FBLDdWIQ8.jar in 6 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1013030807-125797-9ownbqfb.1697166487.125953/apache_beam-2.52.0.dev0-cp311-cp311-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-1013030807-125797-9ownbqfb.1697166487.125953/apache_beam-2.52.0.dev0-cp311-cp311-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-1013030807-125797-9ownbqfb.1697166487.125953/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-1013030807-125797-9ownbqfb.1697166487.125953/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: <Job clientRequestId: '20231013030807126640-3174' createTime: '2023-10-13T03:08:15.731736Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-10-12_20_08_14-8748601765910247582' location: 'us-central1' name: 'beamapp-jenkins-1013030807-125797-9ownbqfb' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-10-13T03:08:15.731736Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job with id: [2023-10-12_20_08_14-8748601765910247582] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 2023-10-12_20_08_14-8748601765910247582 [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-central1/2023-10-12_20_08_14-8748601765910247582?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-12_20_08_14-8748601765910247582?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-central1/2023-10-12_20_08_14-8748601765910247582?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-12_20_08_14-8748601765910247582 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:08:20.121Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:08:22.595Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3759>)+Create/Map(decode)+WriteToBigTable/ParDo(_DirectRowMutationsToBeamRow)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/MapElements/Map/ParMultiDo(Anonymous)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/BigtableIO.Write/BigtableIO.WriteWithResults/ParDo(BigtableWriter)/ParMultiDo(BigtableWriter) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:08:22.676Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:08:40.739Z: 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:200 2023-10-13T03:11:30.787Z: 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:200 2023-10-13T03:11:36.134Z: JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at core.py:3759>)+Create/Map(decode)+WriteToBigTable/ParDo(_DirectRowMutationsToBeamRow)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/MapElements/Map/ParMultiDo(Anonymous)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/BigtableIO.Write/BigtableIO.WriteWithResults/ParDo(BigtableWriter)/ParMultiDo(BigtableWriter) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:11:36.321Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:13:44.989Z: JOB_MESSAGE_BASIC: Worker pool stopped. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-12_20_08_14-8748601765910247582 is in state JOB_STATE_DONE [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:190 Deleting table [test-table-1697166473-62dfbf] [32mPASSED[0m apache_beam/io/gcp/bigtableio_it_test.py::TestWriteToBigtableXlangIT::test_delete_row_mutation [1m-------------------------------- live log call ---------------------------------[0m [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:186 Created table [test-table-1697166831-ee4be4] [32mINFO [0m apache_beam.runners.portability.stager:stager.py:323 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_Gcp_Dataflow/ws/src/sdks/python/build/apache_beam-2.52.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl";> to staging location. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:395 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_python3.11_sdk:latest [32mINFO [0m root:environments.py:320 Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.11_sdk:latest" for Docker environment [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function pack_combiners at 0x7ff24f105080> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7ff24f105940> ==================== [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1013031401-888340-r5vqwmey.1697166841.888489/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-DX0KnSND-h-pxHBR09glnK5wMAuT_emiQ5FBLDdWIQ8.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1013031401-888340-r5vqwmey.1697166841.888489/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-DX0KnSND-h-pxHBR09glnK5wMAuT_emiQ5FBLDdWIQ8.jar in 6 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1013031401-888340-r5vqwmey.1697166841.888489/apache_beam-2.52.0.dev0-cp311-cp311-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-1013031401-888340-r5vqwmey.1697166841.888489/apache_beam-2.52.0.dev0-cp311-cp311-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-1013031401-888340-r5vqwmey.1697166841.888489/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-1013031401-888340-r5vqwmey.1697166841.888489/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: <Job clientRequestId: '20231013031401889207-5855' createTime: '2023-10-13T03:14:09.577185Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-10-12_20_14_08-7831356026569813403' location: 'us-central1' name: 'beamapp-jenkins-1013031401-888340-r5vqwmey' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-10-13T03:14:09.577185Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job with id: [2023-10-12_20_14_08-7831356026569813403] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 2023-10-12_20_14_08-7831356026569813403 [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-central1/2023-10-12_20_14_08-7831356026569813403?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-12_20_14_08-7831356026569813403?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-central1/2023-10-12_20_14_08-7831356026569813403?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-12_20_14_08-7831356026569813403 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:14:12.794Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:14:15.015Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3759>)+Create/Map(decode)+WriteToBigTable/ParDo(_DirectRowMutationsToBeamRow)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/MapElements/Map/ParMultiDo(Anonymous)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/BigtableIO.Write/BigtableIO.WriteWithResults/ParDo(BigtableWriter)/ParMultiDo(BigtableWriter) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:14:15.076Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:14:40.655Z: 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:200 2023-10-13T03:17:12.547Z: 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:200 2023-10-13T03:17:16.520Z: JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at core.py:3759>)+Create/Map(decode)+WriteToBigTable/ParDo(_DirectRowMutationsToBeamRow)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/MapElements/Map/ParMultiDo(Anonymous)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/BigtableIO.Write/BigtableIO.WriteWithResults/ParDo(BigtableWriter)/ParMultiDo(BigtableWriter) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:17:16.682Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:19:29.250Z: JOB_MESSAGE_BASIC: Worker pool stopped. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-12_20_14_08-7831356026569813403 is in state JOB_STATE_DONE [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:190 Deleting table [test-table-1697166831-ee4be4] [32mPASSED[0m apache_beam/io/gcp/bigtableio_it_test.py::TestWriteToBigtableXlangIT::test_set_mutation [1m-------------------------------- live log call ---------------------------------[0m [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:186 Created table [test-table-1697167179-00f050] [32mINFO [0m apache_beam.runners.portability.stager:stager.py:323 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_Gcp_Dataflow/ws/src/sdks/python/build/apache_beam-2.52.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl";> to staging location. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:395 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_python3.11_sdk:latest [32mINFO [0m root:environments.py:320 Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.11_sdk:latest" for Docker environment [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function pack_combiners at 0x7ff24f105080> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7ff24f105940> ==================== [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1013031947-049150-y3s2g2q1.1697167187.049296/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-DX0KnSND-h-pxHBR09glnK5wMAuT_emiQ5FBLDdWIQ8.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1013031947-049150-y3s2g2q1.1697167187.049296/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-DX0KnSND-h-pxHBR09glnK5wMAuT_emiQ5FBLDdWIQ8.jar in 7 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1013031947-049150-y3s2g2q1.1697167187.049296/apache_beam-2.52.0.dev0-cp311-cp311-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-1013031947-049150-y3s2g2q1.1697167187.049296/apache_beam-2.52.0.dev0-cp311-cp311-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-1013031947-049150-y3s2g2q1.1697167187.049296/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-1013031947-049150-y3s2g2q1.1697167187.049296/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: <Job clientRequestId: '20231013031947050010-8462' createTime: '2023-10-13T03:19:55.622742Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-10-12_20_19_55-17126296032551611396' location: 'us-central1' name: 'beamapp-jenkins-1013031947-049150-y3s2g2q1' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-10-13T03:19:55.622742Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job with id: [2023-10-12_20_19_55-17126296032551611396] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 2023-10-12_20_19_55-17126296032551611396 [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-central1/2023-10-12_20_19_55-17126296032551611396?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-12_20_19_55-17126296032551611396?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-central1/2023-10-12_20_19_55-17126296032551611396?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-12_20_19_55-17126296032551611396 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:19:58.687Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:20:00.840Z: JOB_MESSAGE_BASIC: Executing operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:20:00.896Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:20:01.152Z: JOB_MESSAGE_BASIC: Finished operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:20:10.076Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3759>)+Create/MaybeReshuffle/Reshuffle/AddRandomKeys+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:20:14.963Z: 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:200 2023-10-13T03:22:53.423Z: 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:200 2023-10-13T03:22:53.787Z: JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at core.py:3759>)+Create/MaybeReshuffle/Reshuffle/AddRandomKeys+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:22:53.832Z: JOB_MESSAGE_BASIC: Executing operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:22:54.840Z: JOB_MESSAGE_BASIC: Finished operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:22:54.881Z: JOB_MESSAGE_BASIC: Executing operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Create/Map(decode)+WriteToBigTable/ParDo(_DirectRowMutationsToBeamRow)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/MapElements/Map/ParMultiDo(Anonymous)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/BigtableIO.Write/BigtableIO.WriteWithResults/ParDo(BigtableWriter)/ParMultiDo(BigtableWriter) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:22:59.046Z: JOB_MESSAGE_BASIC: Finished operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Create/Map(decode)+WriteToBigTable/ParDo(_DirectRowMutationsToBeamRow)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/MapElements/Map/ParMultiDo(Anonymous)+WriteToBigTable/SchemaAwareExternalTransform/beam:schematransform:org.apache.beam:bigtable_write:v1/BigtableIO.Write/BigtableIO.WriteWithResults/ParDo(BigtableWriter)/ParMultiDo(BigtableWriter) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:22:59.224Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-13T03:25:20.336Z: JOB_MESSAGE_BASIC: Worker pool stopped. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-12_20_19_55-17126296032551611396 is in state JOB_STATE_DONE [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:190 Deleting table [test-table-1697167179-00f050] [32mPASSED[0m [1m------------------------------ live log teardown -------------------------------[0m [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:198 Deleting instance [bt-write-xlang-1697165739-e46a8e] [33m=============================== warnings summary ===============================[0m ../../build/gradleenv/2050596099/lib/python3.11/site-packages/google/api_core/operations_v1/abstract_operations_client.py:17 <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_Gcp_Dataflow/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/google/api_core/operations_v1/abstract_operations_client.py>:17: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives from distutils import util -- 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_Gcp_Dataflow/ws/src/sdks/python/pytest_gcpCrossLanguage.xml> - [33m=== [32m13 passed[0m, [33m[1m19 skipped[0m, [33m[1m7188 deselected[0m, [33m[1m1 warning[0m[33m in 4579.26s (1:16:19)[0m[33m ====[0m > Task :sdks:python:test-suites:dataflow:py311:gcpCrossLanguageCleanup Stopping expansion service pid: 555057. Skipping invalid pid: 555058. > Task :sdks:python:test-suites:xlang:fnApiJobServerCleanup Killing process at 554363 FAILURE: Build failed with an exception. * Where: Build file '<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_Gcp_Dataflow/ws/src/sdks/python/build.gradle'> line: 97 * What went wrong: Execution failed for task ':sdks:python:bdistPy38linux'. > 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 9.0. You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins. For more on this, please refer to https://docs.gradle.org/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation. BUILD FAILED in 1h 27m 6s 120 actionable tasks: 85 executed, 33 from cache, 2 up-to-date Publishing build scan... https://ge.apache.org/s/6bja5s6yshycc 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]
