See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/11550/display/redirect?page=changes>
Changes: [noreply] revert protobuf version (#29523) ------------------------------------------ [...truncated 280.21 KB...] apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_singleton_with_different_defaults [gw7] [32mPASSED[0m apache_beam/transforms/ptransform_test.py::PTransformTest::test_par_do_with_multiple_outputs_and_using_return apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_default_value_singleton_side_input [gw0] [32mPASSED[0m apache_beam/transforms/ptransform_test.py::PTransformTest::test_multiple_empty_outputs apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_flattened_side_input [gw2] [32mPASSED[0m apache_beam/transforms/ptransform_test.py::PTransformTest::test_undeclared_outputs apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_empty_singleton_side_input > Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests [gw3] [32mPASSED[0m apache_beam/transforms/ptransform_test.py::PTransformTest::test_par_do_with_multiple_outputs_and_using_yield apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_iterable_side_input [gw4] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_singleton_with_different_defaults apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_reiterable_side_input > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests [gw4] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_list_and_as_dict_side_inputs apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_iterable_side_input [gw3] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_list_twice apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_reiterable_side_input > Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests [gw2] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_list_and_as_dict_side_inputs apache_beam/transforms/util_test.py::ReshuffleTest::test_reshuffle_preserves_timestamps [gw6] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_singleton_without_unique_labels [gw5] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_empty_singleton_side_input [gw0] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_default_value_singleton_side_input > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests [gw5] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_singleton_with_different_defaults > Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests [gw7] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_flattened_side_input > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests [gw6] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_singleton_without_unique_labels apache_beam/transforms/util_test.py::ReshuffleTest::test_reshuffle_preserves_timestamps [gw7] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_default_value_singleton_side_input > Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests [gw1] [32mPASSED[0m apache_beam/ml/inference/base_test.py::RunInferenceBaseTest::test_run_inference_with_side_inputin_streaming apache_beam/transforms/ptransform_test.py::PTransformTest::test_undeclared_outputs > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests [gw2] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_empty_singleton_side_input [gw0] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_flattened_side_input > Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests [gw3] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_iterable_side_input [gw4] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_reiterable_side_input > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests [gw1] [32mPASSED[0m apache_beam/ml/inference/base_test.py::RunInferenceBaseTest::test_run_inference_with_side_inputin_streaming apache_beam/transforms/ptransform_test.py::PTransformTest::test_par_do_with_multiple_outputs_and_using_yield [gw4] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_iterable_side_input > Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests [gw2] [32mPASSED[0m apache_beam/transforms/util_test.py::ReshuffleTest::test_reshuffle_preserves_timestamps > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests [gw3] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_reiterable_side_input [gw6] [32mPASSED[0m apache_beam/transforms/util_test.py::ReshuffleTest::test_reshuffle_preserves_timestamps > Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests [gw1] [32mPASSED[0m apache_beam/transforms/ptransform_test.py::PTransformTest::test_undeclared_outputs - generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py311-xdist.xml> - [32m================= [32m[1m34 passed[0m, [33m18 skipped[0m[32m in 2308.70s (0:38:28)[0m[32m ==================[0m >>> RUNNING integration tests with pipeline options: >>> --runner=TestDataflowRunner --project=apache-beam-testing >>> --region=us-central1 >>> --staging_location=gs://temp-storage-for-end-to-end-tests/staging-it >>> --temp_location=gs://temp-storage-for-end-to-end-tests/temp-it >>> --output=gs://temp-storage-for-end-to-end-tests/py-it-cloud/output >>> --sdk_location=<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/build/apache_beam-2.53.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl> >>> --num_workers=1 --sleep_secs=20 --streaming >>> --kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test >>> >>> --dataflow_kms_key=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test >>> pytest options: --capture=no --timeout=4500 --color=yes >>> --log-cli-level=INFO >>> collect markers: -m=it_validatesrunner and not no_sickbay_streaming and >>> no_xdist [1m============================= test session starts ==============================[0m platform linux -- Python 3.11.2, pytest-7.4.3, pluggy-1.3.0 rootdir: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python> configfile: pytest.ini plugins: timeout-2.2.0, hypothesis-6.90.0, requests-mock-1.11.0, xdist-3.5.0 timeout: 4500.0s timeout method: signal timeout func_only: False [1m----------------------------- live log collection ------------------------------[0m [33mWARNING [0m apache_beam.runners.interactive.interactive_environment:interactive_environment.py:189 Dependencies required for Interactive Beam PCollection visualization are not available, please use: `pip install apache-beam[interactive]` to install necessary dependencies to enable all data visualization features. [33mWARNING [0m apache_beam.runners.interactive.interactive_environment:interactive_environment.py:198 You cannot use Interactive Beam features when you are not in an interactive environment such as a Jupyter notebook or ipython terminal. [33mWARNING [0m root:avroio_test.py:54 python-snappy is not installed; some tests will be skipped. [33mWARNING [0m root:tfrecordio_test.py:55 Tensorflow is not installed, so skipping some tests. collected 7221 items / 7220 deselected / 18 skipped / 1 selected apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it [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_Py_VR_Dataflow/ws/src/sdks/python/build/apache_beam-2.53.0.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/cloud-dataflow/v1beta3/beam_python3.11_sdk:beam-master-20231116 [32mINFO [0m root:environments.py:320 Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.11_sdk:beam-master-20231116" for Docker environment [32mINFO [0m apache_beam.internal.gcp.auth:auth.py:134 Setting socket default timeout to 60 seconds. [32mINFO [0m apache_beam.internal.gcp.auth:auth.py:136 socket default timeout is 60.0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:673 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1123092940-521026-nthvafm2.1700731780.521176/pickled_main_session... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:683 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1123092940-521026-nthvafm2.1700731780.521176/pickled_main_session in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:673 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1123092940-521026-nthvafm2.1700731780.521176/apache_beam-2.53.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:683 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1123092940-521026-nthvafm2.1700731780.521176/apache_beam-2.53.0.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:673 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1123092940-521026-nthvafm2.1700731780.521176/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:683 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1123092940-521026-nthvafm2.1700731780.521176/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:854 Create job: <Job clientRequestId: '20231123092940522040-2535' createTime: '2023-11-23T09:29:42.064419Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-11-23_01_29_41-4857491343660662762' location: 'us-central1' name: 'beamapp-jenkins-1123092940-521026-nthvafm2' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-11-23T09:29:42.064419Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:856 Created job with id: [2023-11-23_01_29_41-4857491343660662762] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:857 Submitted job: 2023-11-23_01_29_41-4857491343660662762 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:858 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-11-23_01_29_41-4857491343660662762?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-11-23_01_29_41-4857491343660662762?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-central1/2023-11-23_01_29_41-4857491343660662762?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-11-23_01_29_41-4857491343660662762 is in state JOB_STATE_RUNNING [33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:202 2023-11-23T09:29:43.206Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine. Workers will scale between 1 and 100 unless maxNumWorkers is specified. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:29:54.999Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:29:57.853Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:29:57.874Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect persistent state. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:29:58.241Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:30:06.186Z: 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 > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests [gw1] [32mPASSED[0m apache_beam/transforms/ptransform_test.py::PTransformTest::test_par_do_with_multiple_outputs_and_using_yield - generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py38-xdist.xml> - [32m================= [32m[1m34 passed[0m, [33m18 skipped[0m[32m in 2295.60s (0:38:15)[0m[32m ==================[0m >>> RUNNING integration tests with pipeline options: >>> --runner=TestDataflowRunner --project=apache-beam-testing >>> --region=us-central1 >>> --staging_location=gs://temp-storage-for-end-to-end-tests/staging-it >>> --temp_location=gs://temp-storage-for-end-to-end-tests/temp-it >>> --output=gs://temp-storage-for-end-to-end-tests/py-it-cloud/output >>> --sdk_location=<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/build/apache_beam-2.53.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl> >>> --num_workers=1 --sleep_secs=20 --streaming >>> --kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test >>> >>> --dataflow_kms_key=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test >>> pytest options: --capture=no --timeout=4500 --color=yes >>> --log-cli-level=INFO >>> collect markers: -m=it_validatesrunner and not no_sickbay_streaming and >>> no_xdist [1m============================= test session starts ==============================[0m platform linux -- Python 3.8.10, pytest-7.4.3, pluggy-1.3.0 rootdir: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python> configfile: pytest.ini plugins: timeout-2.2.0, hypothesis-6.90.0, requests-mock-1.11.0, xdist-3.5.0 timeout: 4500.0s timeout method: signal timeout func_only: False [1m----------------------------- live log collection ------------------------------[0m [33mWARNING [0m apache_beam.runners.interactive.interactive_environment:interactive_environment.py:189 Dependencies required for Interactive Beam PCollection visualization are not available, please use: `pip install apache-beam[interactive]` to install necessary dependencies to enable all data visualization features. [33mWARNING [0m apache_beam.runners.interactive.interactive_environment:interactive_environment.py:198 You cannot use Interactive Beam features when you are not in an interactive environment such as a Jupyter notebook or ipython terminal. [33mWARNING [0m root:avroio_test.py:54 python-snappy is not installed; some tests will be skipped. [33mWARNING [0m root:tfrecordio_test.py:55 Tensorflow is not installed, so skipping some tests. collected 7221 items / 7220 deselected / 18 skipped / 1 selected apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it [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_Py_VR_Dataflow/ws/src/sdks/python/build/apache_beam-2.53.0.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: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/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231116 [32mINFO [0m root:environments.py:320 Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231116" for Docker environment [32mINFO [0m apache_beam.internal.gcp.auth:auth.py:134 Setting socket default timeout to 60 seconds. [32mINFO [0m apache_beam.internal.gcp.auth:auth.py:136 socket default timeout is 60.0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:673 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1123093053-957058-nthvafm2.1700731853.957225/pickled_main_session... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:683 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1123093053-957058-nthvafm2.1700731853.957225/pickled_main_session in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:673 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1123093053-957058-nthvafm2.1700731853.957225/apache_beam-2.53.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:683 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1123093053-957058-nthvafm2.1700731853.957225/apache_beam-2.53.0.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:673 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1123093053-957058-nthvafm2.1700731853.957225/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:683 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1123093053-957058-nthvafm2.1700731853.957225/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:854 Create job: <Job clientRequestId: '20231123093053958240-2535' createTime: '2023-11-23T09:30:55.429877Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-11-23_01_30_54-9116319940565245906' location: 'us-central1' name: 'beamapp-jenkins-1123093053-957058-nthvafm2' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-11-23T09:30:55.429877Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:856 Created job with id: [2023-11-23_01_30_54-9116319940565245906] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:857 Submitted job: 2023-11-23_01_30_54-9116319940565245906 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:858 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-11-23_01_30_54-9116319940565245906?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-11-23_01_30_54-9116319940565245906?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-central1/2023-11-23_01_30_54-9116319940565245906?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-11-23_01_30_54-9116319940565245906 is in state JOB_STATE_RUNNING [33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:202 2023-11-23T09:30:56.376Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine. Workers will scale between 1 and 100 unless maxNumWorkers is specified. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:31:07.202Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:31:10.544Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:31:10.570Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect persistent state. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:31:10.902Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:31:25.709Z: 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 > Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:32:01.657Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:32:13.056Z: 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 > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:32:48.525Z: JOB_MESSAGE_BASIC: All workers have finished the startup processes and began to receive work requests. > Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-23T09:33:54.818Z: JOB_MESSAGE_BASIC: All workers have finished the startup processes and began to receive work requests. [33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:216 Timing out on waiting for job 2023-11-23_01_29_41-4857491343660662762 after 303 seconds > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests [33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:216 Timing out on waiting for job 2023-11-23_01_30_54-9116319940565245906 after 304 seconds > Task :sdks:python:test-suites:dataflow:py311:validatesRunnerStreamingTests [32mPASSED[0m - generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py311-noxdist.xml> - [32m========== [32m[1m1 passed[0m, [33m18 skipped[0m, [33m7220 deselected[0m[32m in 554.06s (0:09:14)[0m[32m ==========[0m > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests [32mPASSED[0m - generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py38-noxdist.xml> - [32m========== [32m[1m1 passed[0m, [33m18 skipped[0m, [33m7220 deselected[0m[32m in 516.74s (0:08:36)[0m[32m ==========[0m > Task :sdks:python:test-suites:dataflow:validatesRunnerStreamingTests FAILURE: Build failed with an exception. * Where: Script '<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 254 * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py38:validatesRunnerBatchTests'. > 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/8.4/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation. BUILD FAILED in 1h 19m 54s 18 actionable tasks: 17 executed, 1 from cache Publishing build scan... https://ge.apache.org/s/3u7f6wk5j6xi6 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]
