See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/711/display/redirect?page=changes>
Changes: [noreply] Merge pull request #22347: [22188]Set allowed timestamp skew [noreply] Added experimental annotation to fixes #22564 (#22565) ------------------------------------------ [...truncated 22.76 KB...] Using cached PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) Collecting requests_mock<2.0,>=1.7 Using cached requests_mock-1.9.3-py2.py3-none-any.whl (27 kB) Collecting tenacity<6.0,>=5.0.2 Using cached tenacity-5.1.5-py2.py3-none-any.whl (34 kB) Collecting pytest<8.0,>=7.1.2 Using cached pytest-7.1.2-py3-none-any.whl (297 kB) Collecting pytest-xdist<3,>=2.5.0 Using cached pytest_xdist-2.5.0-py3-none-any.whl (41 kB) Collecting pytest-timeout<3,>=2.1.0 Using cached pytest_timeout-2.1.0-py3-none-any.whl (12 kB) Collecting scikit-learn>=0.20.0 Using cached scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 MB) Collecting sqlalchemy<2.0,>=1.3 Using cached 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importlib-metadata>=0.12->pytest<8.0,>=7.1.2->apache-beam==2.42.0.dev0) (3.8.1) Collecting requests-oauthlib>=0.5.0 Using cached requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB) Collecting isodate>=0.6.0 Using cached isodate-0.6.1-py2.py3-none-any.whl (41 kB) Collecting pyasn1>=0.1.7 Using cached pyasn1-0.4.8-py2.py3-none-any.whl (77 kB) Collecting oauthlib>=3.0.0 Using cached oauthlib-3.2.0-py3-none-any.whl (151 kB) Building wheels for collected packages: apache-beam Building wheel for apache-beam (setup.py): started Building wheel for apache-beam (setup.py): finished with status 'done' Created wheel for apache-beam: filename=apache_beam-2.42.0.dev0-py3-none-any.whl size=2835007 sha256=88fb1e401f51efa2112ee3b1e316e075193042384aa73788beb784522872b40a Stored in directory: /home/jenkins/.cache/pip/wheels/e6/1f/28/9337974c607f5f016ef124646a645ebf2fb34bdd32df5f9dd8 Successfully built apache-beam Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite Successfully installed apache-beam-2.42.0.dev0 attrs-22.1.0 azure-core-1.25.0 azure-storage-blob-12.13.1 boto3-1.24.46 botocore-1.27.46 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.4 fasteners-0.17.3 freezegun-1.2.1 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.9.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.7.0 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urllib3-1.26.11 websocket-client-1.3.3 wrapt-1.14.1 zstandard-0.18.0 > Task :sdks:python:apache_beam:testing:load_tests:run INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz";> to staging location. INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional dependencies to be installed in SDK **** 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 INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.42.0.dev INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220803 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220803" for Docker environment INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/smoketests INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds. INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0805150319.1659712067.272128/dataflow_python_sdk.tar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0805150319.1659712067.272128/dataflow_python_sdk.tar in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0805150319.1659712067.272128/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0805150319.1659712067.272128/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20220805150747273159-8210' createTime: '2022-08-05T15:07:48.273885Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-08-05_08_07_47-4951013129220779796' location: 'us-central1' name: 'load-tests-python-dataflow-streaming-combine-1-0805150319' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-08-05T15:07:48.273885Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-08-05_08_07_47-4951013129220779796] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-08-05_08_07_47-4951013129220779796 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-08-05_08_07_47-4951013129220779796?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-08-05_08_07_47-4951013129220779796 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:52.313Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:53.582Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:53.616Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:53.675Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:53.738Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:53.765Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:53.842Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:53.899Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:53.942Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:53.976Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.011Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:908>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.042Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.077Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.109Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.142Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators into Combine with Top 0/KeyWithVoid INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.179Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/GroupByKey/WriteStream into Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.201Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine into Combine with Top 0/CombinePerKey/GroupByKey/ReadStream INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.261Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/Extract into Combine with Top 0/CombinePerKey/Combine INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.280Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/UnKey into Combine with Top 0/CombinePerKey/Combine/Extract INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.311Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.333Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.419Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.452Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.498Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.550Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.582Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.631Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.650Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:07:54.682Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-08-05_08_07_47-4951013129220779796 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:08:08.429Z: 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 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:08:30.606Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T15:08:59.887Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T16:02:45.140Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T16:03:55.939Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T16:43:49.165Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T16:48:50.516Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T16:53:50.744Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T17:28:55.561Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T17:43:56.268Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T18:11:19.229Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T18:31:00.014Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T18:54:00.712Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T19:38:04.236Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T19:42:04.797Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-08-05_08_07_47-4951013129220779796 is in state JOB_STATE_CANCELLING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T20:01:06.860Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-08-05_08_07_47-4951013129220779796. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T20:01:06.899Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T20:01:06.961Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T20:01:06.978Z: JOB_MESSAGE_BASIC: Stopping **** pool... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T20:01:07.010Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-05T20:01:07.038Z: JOB_MESSAGE_BASIC: Stopping **** pool... Traceback (most recent call last): File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "/usr/lib/python3.7/runpy.py", line 85, in _run_code exec(code, run_globals) File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py";,> line 129, in <module> CombineTest().run() File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,> line 151, in run self.result.wait_until_finish(duration=self.timeout_ms) File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,> line 1665, in wait_until_finish '{}'.format(consoleUrl)) AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-08-05_08_07_47-4951013129220779796?project=<ProjectId> > Task :sdks:python:apache_beam:testing:load_tests:run FAILED FAILURE: Build failed with an exception. * Where: Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58 * What went wrong: Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'. > error occurred * 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 8.0. You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins. See https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings BUILD FAILED in 4h 55m 15s 15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/q2bmmnuh5nekm 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]
