See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/2454/display/redirect?page=changes>
Changes: [noreply] Merge pull request #15480: [BEAM-12356] Make sure DatasetService is [noreply] [BEAM-11981] Java Bigtable - Implement IO Request Count metrics (#15342) [noreply] [BEAM-12834] Improve Go SDK cross-language documentation and API. ------------------------------------------ [...truncated 190.63 KB...] >>> 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_V2/ws/src/sdks/python/build/apache-beam.tar.gz> >>> --requirements_file=postcommit_requirements.txt --num_workers=1 >>> --sleep_secs=20 --streaming >>> 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use "async def" instead def call(self, fn, *args, **kwargs): -- Docs: https://docs.pytest.org/en/latest/warnings.html - generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py38-xdist.xml> - [33m[1m============= 31 passed, 1 skipped, 8 warnings in 2665.15 seconds ==============[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_V2/ws/src/sdks/python/build/apache-beam.tar.gz> >>> --requirements_file=postcommit_requirements.txt --num_workers=1 >>> --sleep_secs=20 --streaming >>> 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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:639 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/PyHamcrest-1.10.1.tar.gz... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:655 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/PyHamcrest-1.10.1.tar.gz in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:639 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/parameterized-0.7.5.tar.gz... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:655 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/parameterized-0.7.5.tar.gz in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:639 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/beautifulsoup4-4.9.3.tar.gz... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:655 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/beautifulsoup4-4.9.3.tar.gz in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:639 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/beautifulsoup4-4.10.0.tar.gz... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:655 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/beautifulsoup4-4.10.0.tar.gz in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:639 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/dataflow_python_sdk.tar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:655 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/dataflow_python_sdk.tar in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:639 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/dataflow-worker.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:655 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/dataflow-worker.jar in 3 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:639 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:655 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0909074418-214232.1631173458.214386/pipeline.pb in 0 seconds. [33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:309 Discarding unparseable args: ['--sleep_secs=20'] [33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:309 Discarding unparseable args: ['--sleep_secs=20'] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:819 Create job: <Job clientRequestId: '20210909074418215481-7102' createTime: '2021-09-09T07:44:24.416950Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2021-09-09_00_44_23-919332740186725729' location: 'us-central1' name: 'beamapp-jenkins-0909074418-214232' projectId: 'apache-beam-testing' stageStates: [] startTime: '2021-09-09T07:44:24.416950Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:821 Created job with id: [2021-09-09_00_44_23-919332740186725729] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:822 Submitted job: 2021-09-09_00_44_23-919332740186725729 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:823 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2021-09-09_00_44_23-919332740186725729?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2021-09-09_00_44_23-919332740186725729?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:191 Job 2021-09-09_00_44_23-919332740186725729 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:27.287Z: 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:236 2021-09-09T07:44:27.406Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2021-09-09_00_44_23-919332740186725729. The number of workers will be between 1 and 100. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:27.428Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2021-09-09_00_44_23-919332740186725729. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:32.637Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:33.735Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:33.769Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:33.849Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:33.989Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.092Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.166Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.247Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.319Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.360Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.386Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.418Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/Write/NativeWrite into dump_to_pub/ToProtobuf [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.457Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.515Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.548Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.586Z: JOB_MESSAGE_DEBUG: Assigning stage ids. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.682Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.718Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:44:34.753Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-09-09T07:45:07.567Z: 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:236 2021-09-09T07:45:20.461Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 so that the pipeline can catch up with its backlog and keep up with its input rate. [33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:247 Timing out on waiting for job 2021-09-09_00_44_23-919332740186725729 after 61 seconds [32mPASSED[0m [33m=============================== warnings summary ===============================[0m <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/tenacity/_asyncio.py>:42 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead def call(self, fn, *args, **kwargs): -- Docs: https://docs.pytest.org/en/latest/warnings.html - generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py38-noxdist.xml> - [33m[1m=========== 1 passed, 4991 deselected, 1 warnings in 648.14 seconds ============[0m > Task :sdks:python:test-suites:dataflow:validatesRunnerStreamingTestsV2 FAILURE: Build failed with an exception. * Where: Script '<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 149 * 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. Run with --scan to get full insights. * Get more help at https://help.gradle.org Deprecated Gradle features were used in this build, making it incompatible with Gradle 7.0. Use '--warning-mode all' to show the individual deprecation warnings. See https://docs.gradle.org/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings BUILD FAILED in 1h 54m 16s 84 actionable tasks: 59 executed, 25 from cache Publishing build scan... https://gradle.com/s/znb6nt7l4cogk 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]
