See <https://ci-beam.apache.org/job/beam_PostCommit_Python311/940/display/redirect>
Changes: ------------------------------------------ [...truncated 12.19 MB...] apache_beam/io/gcp/healthcare/dicomio_integration_test.py::DICOMIoIntegrationTest::test_dicom_search_instances [gw0] [32mPASSED[0m apache_beam/io/gcp/bigquery_read_it_test.py::ReadUsingStorageApiTests::test_iobase_source_with_column_selection_and_row_restriction apache_beam/io/gcp/bigquery_read_it_test.py::ReadUsingStorageApiTests::test_iobase_source_with_column_selection_and_row_restriction_rows [gw2] [32mPASSED[0m apache_beam/io/gcp/healthcare/dicomio_integration_test.py::DICOMIoIntegrationTest::test_dicom_search_instances apache_beam/io/gcp/healthcare/dicomio_integration_test.py::DICOMIoIntegrationTest::test_dicom_store_instance_from_gcs [gw7] [32mPASSED[0m apache_beam/io/gcp/bigquery_test.py::PubSubBigQueryIT::test_streaming_inserts apache_beam/io/gcp/bigquery_test.py::BigQueryFileLoadsIntegrationTests::test_avro_file_load [gw3] [32mPASSED[0m apache_beam/examples/complete/game/hourly_team_score_it_test.py::HourlyTeamScoreIT::test_hourly_team_score_it apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays [gw0] [32mPASSED[0m apache_beam/io/gcp/bigquery_read_it_test.py::ReadUsingStorageApiTests::test_iobase_source_with_column_selection_and_row_restriction_rows apache_beam/io/gcp/bigquery_read_it_test.py::ReadUsingStorageApiTests::test_iobase_source_with_native_datetime [gw4] [32mPASSED[0m apache_beam/examples/complete/game/game_stats_it_test.py::GameStatsIT::test_game_stats_it apache_beam/examples/cookbook/bigquery_tornadoes_it_test.py::BigqueryTornadoesIT::test_bigquery_tornadoes_it [gw5] [32mPASSED[0m apache_beam/examples/complete/game/user_score_it_test.py::UserScoreIT::test_user_score_it apache_beam/examples/inference/tfx_bsl/tfx_bsl_inference_it_test.py::TFXRunInferenceTests::test_tfx_run_inference_mobilenetv2 [gw5] [33mSKIPPED[0m 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warning: check: missing meta-data: either (author and author_email) or (maintainer and maintainer_email) should be supplied [gw3] [32mPASSED[0m apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays apache_beam/io/parquetio_it_test.py::TestParquetIT::test_parquetio_it [gw4] [32mPASSED[0m apache_beam/examples/cookbook/bigquery_tornadoes_it_test.py::BigqueryTornadoesIT::test_bigquery_tornadoes_it apache_beam/io/fileio_test.py::MatchIntegrationTest::test_transform_on_gcs [gw2] [32mPASSED[0m apache_beam/ml/gcp/visionml_test_it.py::VisionMlTestIT::test_text_detection_with_language_hint apache_beam/ml/inference/base_test.py::RunInferenceBaseTest::test_run_inference_with_side_inputin_streaming [gw2] [33mSKIPPED[0m apache_beam/ml/inference/base_test.py::RunInferenceBaseTest::test_run_inference_with_side_inputin_streaming [gw0] [32mPASSED[0m apache_beam/io/gcp/bigquery_read_it_test.py::ReadUsingStorageApiTests::test_iobase_source_with_query 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apache_beam/examples/cookbook/datastore_wordcount_it_test.py::DatastoreWordCountIT::test_datastore_wordcount_it [gw0] [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 [gw5] [32mPASSED[0m apache_beam/io/gcp/datastore/v1new/datastore_write_it_test.py::DatastoreWriteIT::test_datastore_write_limit apache_beam/transforms/periodicsequence_it_test.py::PeriodicSequenceIT::test_periodicsequence_outputs_valid_watermarks_it [gw5] [33mSKIPPED[0m apache_beam/transforms/periodicsequence_it_test.py::PeriodicSequenceIT::test_periodicsequence_outputs_valid_watermarks_it [gw0] [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 [gw0] [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 [gw0] [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 [gw0] [32mPASSED[0m apache_beam/io/gcp/bigquery_read_it_test.py::ReadInteractiveRunnerTests::test_read_in_interactive_runner =================================== FAILURES =================================== [31m[1m_______________________ BigQueryJsonIT.test_direct_read ________________________[0m [gw4] linux -- Python 3.11.2 <https://ci-beam.apache.org/job/beam_PostCommit_Python311/ws/src/build/gradleenv/2050596099/bin/python3.11> self = <apache_beam.io.gcp.bigquery_json_it_test.BigQueryJsonIT testMethod=test_direct_read> @pytest.mark.it_postcommit def test_direct_read(self): extra_opts = { 'read_method': "DIRECT_READ", 'input': JSON_TABLE_DESTINATION, } options = self.test_pipeline.get_full_options_as_args(**extra_opts) > self.read_and_validate_rows(options) [1m[31mapache_beam/io/gcp/bigquery_json_it_test.py[0m:160: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [1m[31mapache_beam/io/gcp/bigquery_json_it_test.py[0m:146: in read_and_validate_rows with beam.Pipeline(argv=pipeline_args) as p: [1m[31mapache_beam/pipeline.py[0m:608: in __exit__ self.result = self.run() [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: '20231129045547932247-5768' createTime: '2023-11-29T04:55:49.163969Z' ...023-11-29T04:55:49.163969Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> at 0x7f7104227d50> 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) # TODO: Merge the termination code in poll_for_job_completion and # is_in_terminal_state. terminated = self.is_in_terminal_state() assert duration or terminated, ( 'Job did not reach to a terminal state after waiting indefinitely. ' '{}'.format(consoleUrl)) if terminated and self.state != PipelineState.DONE: # TODO(BEAM-1290): Consider converting this to an error log based on # theresolution of the issue. _LOGGER.error(consoleUrl) > raise DataflowRuntimeException( 'Dataflow pipeline failed. State: %s, Error:\n%s' % (self.state, getattr(self._runner, 'last_error_msg', None)), [1m[31mE apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: FAILED, Error:[0m [1m[31mE None[0m [1m[31mapache_beam/runners/dataflow/dataflow_runner.py[0m:771: DataflowRuntimeException ------------------------------ Captured log call ------------------------------- [32mINFO [0m apache_beam.runners.portability.stager:stager.py:322 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Python311/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.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function pack_combiners at 0x7f71356277e0> ==================== [32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7f71356400e0> ==================== [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-1129045547-930535-zxz6xnth.1701233747.930805/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-1129045547-930535-zxz6xnth.1701233747.930805/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-1129045547-930535-zxz6xnth.1701233747.930805/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-1129045547-930535-zxz6xnth.1701233747.930805/pipeline.pb in 0 seconds. [33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:338 Unknown pipeline options received: --sleep_secs=20,--kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test. Ignore if flags are used for internal purposes. [33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:338 Unknown pipeline options received: --sleep_secs=20,--kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test. Ignore if flags are used for internal purposes. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:854 Create job: <Job clientRequestId: '20231129045547932247-5768' createTime: '2023-11-29T04:55:49.163969Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-11-28_20_55_48-1296548160316175711' location: 'us-central1' name: 'beamapp-jenkins-1129045547-930535-zxz6xnth' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-11-29T04:55:49.163969Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:856 Created job with id: [2023-11-28_20_55_48-1296548160316175711] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:857 Submitted job: 2023-11-28_20_55_48-1296548160316175711 [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-central1/2023-11-28_20_55_48-1296548160316175711?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-central1/2023-11-28_20_55_48-1296548160316175711?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-11-28_20_55_48-1296548160316175711 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-11-29T04:56:23.180Z: 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:150 Job 2023-11-28_20_55_48-1296548160316175711 is in state JOB_STATE_FAILED [1m[31mERROR [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:770 Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-11-28_20_55_48-1296548160316175711?project=<ProjectId> [33m=============================== warnings summary ===============================[0m apache_beam/io/gcp/bigquery_read_it_test.py::ReadTests::test_native_source <https://ci-beam.apache.org/job/beam_PostCommit_Python311/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_test.py::PubSubBigQueryIT::test_file_loads apache_beam/io/gcp/bigquery_test.py::PubSubBigQueryIT::test_streaming_inserts 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 <https://ci-beam.apache.org/job/beam_PostCommit_Python311/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/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays <https://ci-beam.apache.org/job/beam_PostCommit_Python311/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/examples/cookbook/bigquery_tornadoes_it_test.py::BigqueryTornadoesIT::test_bigquery_tornadoes_it <https://ci-beam.apache.org/job/beam_PostCommit_Python311/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/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_native_source <https://ci-beam.apache.org/job/beam_PostCommit_Python311/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_Python311/ws/src/sdks/python/pytest_postCommitIT-df-py311.xml> - [36m[1m=========================== short test summary info ============================[0m [31mFAILED[0m apache_beam/io/gcp/bigquery_json_it_test.py::[1mBigQueryJsonIT::test_direct_read[0m - apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: FAILED, Error: None [31m====== [31m[1m1 failed[0m, [32m81 passed[0m, [33m51 skipped[0m, [33m9 warnings[0m[31m in 5738.57s (1:35:38)[0m[31m =======[0m > Task :sdks:python:test-suites:dataflow:py311:postCommitIT FAILED FAILURE: Build failed with an exception. * Where: Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python311/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 139 * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py311: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 1h 42m 44s 217 actionable tasks: 152 executed, 61 from cache, 4 up-to-date Publishing build scan... https://ge.apache.org/s/s7sc44et7wthe 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]
