See <https://ci-beam.apache.org/job/beam_PostCommit_Python39/2511/display/redirect>
Changes: ------------------------------------------ [...truncated 11.78 MB...] [gw0] [32mPASSED[0m apache_beam/io/gcp/bigquery_test.py::BigQueryFileLoadsIntegrationTests::test_avro_file_load apache_beam/ml/inference/tensorflow_inference_it_test.py::TensorflowInference::test_tf_imagenet_image_segmentation [gw0] [33mSKIPPED[0m apache_beam/ml/inference/tensorflow_inference_it_test.py::TensorflowInference::test_tf_imagenet_image_segmentation apache_beam/ml/inference/tensorflow_inference_it_test.py::TensorflowInference::test_tf_mnist_classification [gw0] [33mSKIPPED[0m apache_beam/ml/inference/tensorflow_inference_it_test.py::TensorflowInference::test_tf_mnist_classification apache_beam/ml/inference/tensorflow_inference_it_test.py::TensorflowInference::test_tf_mnist_classification_large_model [gw0] [33mSKIPPED[0m apache_beam/ml/inference/tensorflow_inference_it_test.py::TensorflowInference::test_tf_mnist_classification_large_model apache_beam/ml/inference/tensorflow_inference_it_test.py::TensorflowInference::test_tf_mnist_with_weights_classification [gw0] [33mSKIPPED[0m apache_beam/ml/inference/tensorflow_inference_it_test.py::TensorflowInference::test_tf_mnist_with_weights_classification [gw7] [32mPASSED[0m apache_beam/io/gcp/bigquery_read_it_test.py::ReadUsingStorageApiTests::test_iobase_source_with_query apache_beam/io/gcp/bigquery_read_it_test.py::ReadUsingStorageApiTests::test_iobase_source_with_query_and_filters [gw7] [32mPASSED[0m apache_beam/io/gcp/bigquery_read_it_test.py::ReadUsingStorageApiTests::test_iobase_source_with_query_and_filters apache_beam/io/gcp/bigquery_read_it_test.py::ReadUsingStorageApiTests::test_iobase_source_with_row_restriction [gw7] [32mPASSED[0m apache_beam/io/gcp/bigquery_read_it_test.py::ReadUsingStorageApiTests::test_iobase_source_with_row_restriction apache_beam/io/gcp/bigquery_read_it_test.py::ReadUsingStorageApiTests::test_iobase_source_with_very_selective_filters [gw7] [32mPASSED[0m apache_beam/io/gcp/bigquery_read_it_test.py::ReadUsingStorageApiTests::test_iobase_source_with_very_selective_filters apache_beam/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_iobase_source [gw7] [32mPASSED[0m apache_beam/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_iobase_source apache_beam/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_native_source [gw7] [32mPASSED[0m apache_beam/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_native_source apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries [gw7] [32mPASSED[0m apache_beam/io/gcp/bigquery_read_it_test.py::ReadAllBQTests::test_read_queries apache_beam/io/gcp/bigquery_read_it_test.py::ReadInteractiveRunnerTests::test_read_in_interactive_runner [gw7] [32mPASSED[0m apache_beam/io/gcp/bigquery_read_it_test.py::ReadInteractiveRunnerTests::test_read_in_interactive_runner =================================== FAILURES =================================== [31m[1m___________________ BigtableIOWriteTest.test_bigtable_write ____________________[0m [gw5] linux -- Python 3.9.10 <https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/build/gradleenv/-1734967050/bin/python3.9> self = <apache_beam.examples.cookbook.bigtableio_it_test.BigtableIOWriteTest testMethod=test_bigtable_write> @pytest.mark.it_postcommit def test_bigtable_write(self): number = self.number pipeline_args = self.test_pipeline.options_list pipeline_options = PipelineOptions(pipeline_args) with beam.Pipeline(options=pipeline_options) as pipeline: config_data = { 'project_id': self.project, 'instance_id': self.instance_id, 'table_id': self.table_id } > _ = ( pipeline | 'Generate Direct Rows' >> GenerateTestRows(number, **config_data)) [1m[31mapache_beam/examples/cookbook/bigtableio_it_test.py[0m:189: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [1m[31mapache_beam/pipeline.py[0m:608: in __exit__ self.result = self.run() [1m[31mapache_beam/pipeline.py[0m:558: in run return Pipeline.from_runner_api( [1m[31mapache_beam/pipeline.py[0m:585: in run return self.runner.run_pipeline(self, self._options) [1m[31mapache_beam/runners/dataflow/test_dataflow_runner.py[0m:66: in run_pipeline self.result.wait_until_finish(duration=wait_duration) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <DataflowPipelineResult <Job clientRequestId: '20231104002359650808-6630' createTime: '2023-11-04T00:24:05.795796Z' ...023-11-04T00:24:05.795796Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> at 0x7f6ac627f160> duration = None def wait_until_finish(self, duration=None): if not self.is_in_terminal_state(): if not self.has_job: raise IOError('Failed to get the Dataflow job id.') consoleUrl = ( "Console URL: https://console.cloud.google.com/"; f"dataflow/jobs/<RegionId>/{self.job_id()}" "?project=<ProjectId>") thread = threading.Thread( target=DataflowRunner.poll_for_job_completion, args=(self._runner, self, duration)) # Mark the thread as a daemon thread so a keyboard interrupt on the main # thread will terminate everything. This is also the reason we will not # use thread.join() to wait for the polling thread. thread.daemon = True thread.start() while thread.is_alive(): > time.sleep(5.0) [1m[31mE Failed: Timeout >4500.0s[0m [1m[31mapache_beam/runners/dataflow/dataflow_runner.py[0m:758: Failed ------------------------------ Captured log call ------------------------------- [32mINFO [0m apache_beam.runners.portability.stager:stager.py:761 Executing command: ['<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/build/gradleenv/-1734967050/bin/python3.9',> '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', '/tmp/tmp23_siy17/tmp_requirements.txt', '--exists-action', 'i', '--no-deps', '--implementation', 'cp', '--abi', 'cp39', '--platform', 'manylinux2014_x86_64'] [32mINFO [0m apache_beam.runners.portability.stager:stager.py:322 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/sdks/python/build/apache_beam-2.53.0.dev0-cp39-cp39-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_python3.9_sdk:beam-master-20231023 [32mINFO [0m root:environments.py:320 Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.9_sdk:beam-master-20231023" for Docker environment [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function pack_combiners at 0x7f6b21ea1b80> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7f6b21eac3a0> ==================== [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/requirements.txt... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/requirements.txt in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/mock-2.0.0-py2.py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/mock-2.0.0-py2.py3-none-any.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/seaborn-0.13.0-py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/seaborn-0.13.0-py3-none-any.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/PyHamcrest-1.10.1-py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/PyHamcrest-1.10.1-py3-none-any.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/beautifulsoup4-4.12.2-py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/beautifulsoup4-4.12.2-py3-none-any.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/parameterized-0.7.5-py2.py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/parameterized-0.7.5-py2.py3-none-any.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/tfx_bsl-1.14.0-cp39-cp39-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://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/tfx_bsl-1.14.0-cp39-cp39-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://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/matplotlib-3.8.1-cp39-cp39-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://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/matplotlib-3.8.1-cp39-cp39-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://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/scikit_learn-1.0.2-cp39-cp39-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://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/scikit_learn-1.0.2-cp39-cp39-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://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/apache_beam-2.53.0.dev0-cp39-cp39-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://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/apache_beam-2.53.0.dev0-cp39-cp39-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://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1104002359-649489-0k4kdurm.1699057439.649689/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: <Job clientRequestId: '20231104002359650808-6630' createTime: '2023-11-04T00:24:05.795796Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-11-03_17_24_05-16059708242659907448' location: 'us-central1' name: 'beamapp-jenkins-1104002359-649489-0k4kdurm' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-11-04T00:24:05.795796Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job with id: [2023-11-03_17_24_05-16059708242659907448] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 2023-11-03_17_24_05-16059708242659907448 [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-central1/2023-11-03_17_24_05-16059708242659907448?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-central1/2023-11-03_17_24_05-16059708242659907448?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-11-03_17_24_05-16059708242659907448 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-04T00:24:08.770Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-04T00:24:10.957Z: JOB_MESSAGE_BASIC: Executing operation Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-04T00:24:11.011Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-04T00:24:11.429Z: JOB_MESSAGE_BASIC: Finished operation Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-04T00:24:20.158Z: JOB_MESSAGE_BASIC: Executing operation Generate Direct Rows/Create/Impulse+Generate Direct Rows/Create/FlatMap(<lambda at core.py:3774>)+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/AddRandomKeys+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-04T00:24:25.706Z: 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 2023-11-04T00:27:14.247Z: 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 2023-11-04T00:27:14.651Z: JOB_MESSAGE_BASIC: Finished operation Generate Direct Rows/Create/Impulse+Generate Direct Rows/Create/FlatMap(<lambda at core.py:3774>)+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/AddRandomKeys+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-04T00:27:14.691Z: JOB_MESSAGE_BASIC: Executing operation Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-04T00:27:15.317Z: JOB_MESSAGE_BASIC: Finished operation Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-04T00:27:15.361Z: JOB_MESSAGE_BASIC: Executing operation Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Generate Direct Rows/Create/Map(decode)+Generate Direct Rows/WriteToBigTable/ParDo(_BigTableWriteFn) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-04T01:38:51.887Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-11-03_17_24_05-16059708242659907448. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-04T01:38:51.909Z: JOB_MESSAGE_BASIC: Finished operation Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Generate Direct Rows/Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Generate Direct Rows/Create/Map(decode)+Generate Direct Rows/WriteToBigTable/ParDo(_BigTableWriteFn) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-04T01:38:52.058Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-11-03_17_24_05-16059708242659907448 is in state JOB_STATE_CANCELLING [33mWARNING [0m apache_beam.utils.retry:retry.py:290 Retry with exponential backoff: waiting for 2.9163904418561986 seconds before retrying list_messages because we caught exception: AttributeError: 'NoneType' object has no attribute 'readline' Traceback for above exception (most recent call last): File "<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/sdks/python/apache_beam/utils/retry.py";,> line 275, in wrapper return fun(*args, **kwargs) File "<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/sdks/python/apache_beam/runners/dataflow/internal/apiclient.py";,> line 1000, in list_messages response = self._client.projects_locations_jobs_messages.List(request) File "<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/sdks/python/apache_beam/runners/dataflow/internal/clients/dataflow/dataflow_v1b3_client.py";,> line 550, in List return self._RunMethod(config, request, global_params=global_params) File "<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/apitools/base/py/base_api.py";,> line 728, in _RunMethod http_response = http_wrapper.MakeRequest( File "<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/apitools/base/py/http_wrapper.py";,> line 359, in MakeRequest retry_func(ExceptionRetryArgs(http, http_request, e, retry, File "<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/apitools/base/py/http_wrapper.py";,> line 304, in HandleExceptionsAndRebuildHttpConnections raise retry_args.exc File "<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/apitools/base/py/http_wrapper.py";,> line 348, in MakeRequest return _MakeRequestNoRetry( File "<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/apitools/base/py/http_wrapper.py";,> line 397, in _MakeRequestNoRetry info, content = http.request( File "<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/google_auth_httplib2.py";,> line 218, in request response, content = self.http.request( File "<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/httplib2/__init__.py";,> line 1724, in request (response, content) = self._request( File "<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/httplib2/__init__.py";,> line 1444, in _request (response, content) = self._conn_request(conn, request_uri, method, body, headers) File "<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/httplib2/__init__.py";,> line 1425, in _conn_request content = response.read() File "/usr/lib/python3.9/http/client.py", line 470, in read return self._readall_chunked() File "/usr/lib/python3.9/http/client.py", line 577, in _readall_chunked chunk_left = self._get_chunk_left() File "/usr/lib/python3.9/http/client.py", line 565, in _get_chunk_left self._read_and_discard_trailer() File "/usr/lib/python3.9/http/client.py", line 538, in _read_and_discard_trailer line = self.fp.readline(_MAXLINE + 1) [33m=============================== warnings summary ===============================[0m apache_beam/examples/complete/game/hourly_team_score_it_test.py::HourlyTeamScoreIT::test_hourly_team_score_it apache_beam/examples/complete/game/game_stats_it_test.py::GameStatsIT::test_game_stats_it apache_beam/examples/complete/game/leader_board_it_test.py::LeaderBoardIT::test_leader_board_it apache_beam/io/gcp/bigquery_test.py::PubSubBigQueryIT::test_file_loads apache_beam/io/gcp/bigquery_test.py::PubSubBigQueryIT::test_streaming_inserts <https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/sdks/python/apache_beam/io/gcp/tests/utils.py>:63: PendingDeprecationWarning: Client.dataset is deprecated and will be removed in a future version. Use a string like 'my_project.my_dataset' or a cloud.google.bigquery.DatasetReference object, instead. dataset_ref = client.dataset(unique_dataset_name, project=project) apache_beam/examples/cookbook/bigquery_tornadoes_it_test.py::BigqueryTornadoesIT::test_bigquery_tornadoes_it <https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/sdks/python/apache_beam/io/gcp/tests/utils.py>:100: PendingDeprecationWarning: Client.dataset is deprecated and will be removed in a future version. Use a string like 'my_project.my_dataset' or a cloud.google.bigquery.DatasetReference object, instead. table_ref = client.dataset(dataset_id).table(table_id) apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays <https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/sdks/python/apache_beam/examples/dataframe/flight_delays.py>:47: FutureWarning: The default value of numeric_only in DataFrame.mean is deprecated. In a future version, it will default to False. In addition, specifying 'numeric_only=None' is deprecated. Select only valid columns or specify the value of numeric_only to silence this warning. return airline_df[at_top_airports].mean() apache_beam/io/gcp/bigquery_read_it_test.py::ReadTests::test_native_source <https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/sdks/python/apache_beam/io/gcp/bigquery_read_it_test.py>:170: BeamDeprecationWarning: BigQuerySource is deprecated since 2.25.0. Use ReadFromBigQuery instead. beam.io.BigQuerySource(query=self.query, use_standard_sql=True))) apache_beam/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_native_source <https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/sdks/python/apache_beam/io/gcp/bigquery_read_it_test.py>:706: BeamDeprecationWarning: BigQuerySource is deprecated since 2.25.0. Use ReadFromBigQuery instead. beam.io.BigQuerySource(query=self.query, use_standard_sql=True))) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/sdks/python/pytest_postCommitIT-df-py39.xml> - [36m[1m=========================== short test summary info ============================[0m [31mFAILED[0m apache_beam/examples/cookbook/bigtableio_it_test.py::[1mBigtableIOWriteTest::test_bigtable_write[0m - Failed: Timeout >4500.0s [31m====== [31m[1m1 failed[0m, [32m87 passed[0m, [33m50 skipped[0m, [33m9 warnings[0m[31m in 7148.69s (1:59:08)[0m[31m =======[0m > Task :sdks:python:test-suites:dataflow:py39:postCommitIT FAILED FAILURE: Build failed with an exception. * Where: Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 139 * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py39:postCommitIT'. > 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 2h 5m 219 actionable tasks: 157 executed, 58 from cache, 4 up-to-date Publishing build scan... https://ge.apache.org/s/kmb6vuljdt4b6 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]
