See <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_Gcp_Dataflow/811/display/redirect>
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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T20:56:39.187Z: 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 2023-10-16T20:56:39.249Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T20:56:48.521Z: 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 2023-10-16T20:59:46.647Z: 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 2023-10-16T20:59:50.844Z: 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 2023-10-16T20:59:51.034Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:06:49.611Z: JOB_MESSAGE_BASIC: Worker pool stopped. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-16_13_56_33-14978668993266418114 is in state JOB_STATE_DONE [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:190 Deleting table [test-table-1697489769-55cb6f] [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-1697490419-f4b8f6] [32mINFO [0m apache_beam.runners.portability.stager:stager.py:322 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 0x7fbee76491c0> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7fbee7649a80> ==================== [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1016210705-004021-1nnf7i0m.1697490425.004199/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-wjNog2Id_Hf6BQcHUAQthOsLwdTT95wrBwjKMdWXNnE.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1016210705-004021-1nnf7i0m.1697490425.004199/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-wjNog2Id_Hf6BQcHUAQthOsLwdTT95wrBwjKMdWXNnE.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-1016210705-004021-1nnf7i0m.1697490425.004199/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-1016210705-004021-1nnf7i0m.1697490425.004199/apache_beam-2.52.0.dev0-cp311-cp311-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-1016210705-004021-1nnf7i0m.1697490425.004199/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-1016210705-004021-1nnf7i0m.1697490425.004199/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: <Job clientRequestId: '20231016210705004901-1588' createTime: '2023-10-16T21:07:16.595532Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-10-16_14_07_13-3930331599292015782' location: 'us-central1' name: 'beamapp-jenkins-1016210705-004021-1nnf7i0m' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-10-16T21:07:16.595532Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job with id: [2023-10-16_14_07_13-3930331599292015782] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 2023-10-16_14_07_13-3930331599292015782 [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-central1/2023-10-16_14_07_13-3930331599292015782?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-16_14_07_13-3930331599292015782?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-central1/2023-10-16_14_07_13-3930331599292015782?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-16_14_07_13-3930331599292015782 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:07:19.521Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:07:21.776Z: 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 2023-10-16T21:07:21.834Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:07:41.683Z: 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 2023-10-16T21:12:06.618Z: 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 2023-10-16T21:12:28.974Z: 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 2023-10-16T21:12:29.156Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:14:33.904Z: JOB_MESSAGE_BASIC: Worker pool stopped. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-16_14_07_13-3930331599292015782 is in state JOB_STATE_DONE [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:190 Deleting table [test-table-1697490419-f4b8f6] [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-1697490881-c231f6] [32mINFO [0m apache_beam.runners.portability.stager:stager.py:322 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 0x7fbee76491c0> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7fbee7649a80> ==================== [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1016211449-733624-z3mbqqd2.1697490889.733766/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-wjNog2Id_Hf6BQcHUAQthOsLwdTT95wrBwjKMdWXNnE.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1016211449-733624-z3mbqqd2.1697490889.733766/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-wjNog2Id_Hf6BQcHUAQthOsLwdTT95wrBwjKMdWXNnE.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-1016211449-733624-z3mbqqd2.1697490889.733766/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-1016211449-733624-z3mbqqd2.1697490889.733766/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-1016211449-733624-z3mbqqd2.1697490889.733766/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-1016211449-733624-z3mbqqd2.1697490889.733766/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: <Job clientRequestId: '20231016211449734448-1331' createTime: '2023-10-16T21:14:58.772949Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-10-16_14_14_57-9554414908278725061' location: 'us-central1' name: 'beamapp-jenkins-1016211449-733624-z3mbqqd2' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-10-16T21:14:58.772949Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job with id: [2023-10-16_14_14_57-9554414908278725061] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 2023-10-16_14_14_57-9554414908278725061 [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-central1/2023-10-16_14_14_57-9554414908278725061?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-16_14_14_57-9554414908278725061?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-central1/2023-10-16_14_14_57-9554414908278725061?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-16_14_14_57-9554414908278725061 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:15:01.796Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:15:03.652Z: 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 2023-10-16T21:15:03.710Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:15:23.796Z: 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 2023-10-16T21:18:19.462Z: 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 2023-10-16T21:18:41.928Z: 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 2023-10-16T21:18:42.115Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:20:47.780Z: JOB_MESSAGE_BASIC: Worker pool stopped. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-16_14_14_57-9554414908278725061 is in state JOB_STATE_DONE [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:190 Deleting table [test-table-1697490881-c231f6] [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-1697491254-9d6f54] [32mINFO [0m apache_beam.runners.portability.stager:stager.py:322 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 0x7fbee76491c0> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7fbee7649a80> ==================== [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1016212059-929238-n1r5vqwm.1697491259.929398/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-wjNog2Id_Hf6BQcHUAQthOsLwdTT95wrBwjKMdWXNnE.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1016212059-929238-n1r5vqwm.1697491259.929398/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-wjNog2Id_Hf6BQcHUAQthOsLwdTT95wrBwjKMdWXNnE.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-1016212059-929238-n1r5vqwm.1697491259.929398/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-1016212059-929238-n1r5vqwm.1697491259.929398/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-1016212059-929238-n1r5vqwm.1697491259.929398/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-1016212059-929238-n1r5vqwm.1697491259.929398/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: <Job clientRequestId: '20231016212059930112-3036' createTime: '2023-10-16T21:21:08.464761Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-10-16_14_21_07-10625663602599016003' location: 'us-central1' name: 'beamapp-jenkins-1016212059-929238-n1r5vqwm' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-10-16T21:21:08.464761Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job with id: [2023-10-16_14_21_07-10625663602599016003] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 2023-10-16_14_21_07-10625663602599016003 [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-central1/2023-10-16_14_21_07-10625663602599016003?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-16_14_21_07-10625663602599016003?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-central1/2023-10-16_14_21_07-10625663602599016003?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-16_14_21_07-10625663602599016003 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:21:11.508Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:21:13.674Z: 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 2023-10-16T21:21:15.888Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:21:27.922Z: 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 2023-10-16T21:24:33.119Z: 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 2023-10-16T21:24:36.716Z: 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 2023-10-16T21:24:36.948Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:26:58.716Z: JOB_MESSAGE_BASIC: Worker pool stopped. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-16_14_21_07-10625663602599016003 is in state JOB_STATE_DONE [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:190 Deleting table [test-table-1697491254-9d6f54] [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-1697491628-5d7620] [32mINFO [0m apache_beam.runners.portability.stager:stager.py:322 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 0x7fbee76491c0> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7fbee7649a80> ==================== [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1016212724-174776-k089e49b.1697491644.174990/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-wjNog2Id_Hf6BQcHUAQthOsLwdTT95wrBwjKMdWXNnE.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1016212724-174776-k089e49b.1697491644.174990/beam-sdks-java-io-google-cloud-platform-expansion-service-2.52.0-SNAPSHOT-wjNog2Id_Hf6BQcHUAQthOsLwdTT95wrBwjKMdWXNnE.jar in 5 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-1016212724-174776-k089e49b.1697491644.174990/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-1016212724-174776-k089e49b.1697491644.174990/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-1016212724-174776-k089e49b.1697491644.174990/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-1016212724-174776-k089e49b.1697491644.174990/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: <Job clientRequestId: '20231016212724175983-7422' createTime: '2023-10-16T21:27:34.125370Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-10-16_14_27_30-13963192753125221370' location: 'us-central1' name: 'beamapp-jenkins-1016212724-174776-k089e49b' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-10-16T21:27:34.125370Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job with id: [2023-10-16_14_27_30-13963192753125221370] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 2023-10-16_14_27_30-13963192753125221370 [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-central1/2023-10-16_14_27_30-13963192753125221370?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-16_14_27_30-13963192753125221370?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-central1/2023-10-16_14_27_30-13963192753125221370?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-16_14_27_30-13963192753125221370 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:27:37.287Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:27:39.880Z: JOB_MESSAGE_BASIC: Executing operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:27:39.933Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:27:40.480Z: JOB_MESSAGE_BASIC: Finished operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:27:49.085Z: 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 2023-10-16T21:28:13.292Z: 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 2023-10-16T21:31:42.417Z: 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 2023-10-16T21:31:43.793Z: 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 2023-10-16T21:31:43.840Z: JOB_MESSAGE_BASIC: Executing operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:31:44.307Z: JOB_MESSAGE_BASIC: Finished operation Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:31:44.352Z: 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 2023-10-16T21:32:07.129Z: 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 2023-10-16T21:32:07.291Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-16T21:34:12.343Z: JOB_MESSAGE_BASIC: Worker pool stopped. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-16_14_27_30-13963192753125221370 is in state JOB_STATE_DONE [32mINFO [0m apache_beam.io.gcp.bigtableio_it_test:bigtableio_it_test.py:190 Deleting table [test-table-1697491628-5d7620] [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-1697489763-6cae40] [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[1m7190 deselected[0m, [33m[1m1 warning[0m[33m in 5129.69s (1:25:29)[0m[33m ====[0m > Task :sdks:python:test-suites:dataflow:py311:gcpCrossLanguageCleanup Stopping expansion service pid: 723592. Skipping invalid pid: 723593. > Task :sdks:python:test-suites:xlang:fnApiJobServerCleanup Killing process at 720363 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 36m 3s 120 actionable tasks: 85 executed, 33 from cache, 2 up-to-date Publishing build scan... https://ge.apache.org/s/ka7gfidyiaotq 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]
