See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/778/display/redirect?page=changes>
Changes: [git] BEAM-13592 Add getOrderingKey in [git] Add CHANGES entry [git] Rename transform name according to review comment [git] Update to pass ordering key [egalpin] Adds ordering key to OutgoingMessage builder, adds new coders to pubsub [egalpin] Fixes pubsub bounded writer allowing for orderingKey [egalpin] Alters order of pubsub message support in registrar [egalpin] Removed publishTime and messageId in grpc pubsub client publish [egalpin] Attempts to allow different pubsub root url for PubsubIO.Write [egalpin] Fixes pubsub tests root url [egalpin] Puts PubsubMessageCoder last in registrar [egalpin] Uses MoreObjects over Objects [egalpin] Renames PubsubMessageCoder to [bulat.safiullin] [Website] update python-dependencies.md link #23478 [bulat.safiullin] [Website] update styles of iframe with video #23499 [bulat.safiullin] [Website] add version.html to shortcodes, update jet.md 22985 [Moritz Mack] Downgrade Scala version in Spark job-server to prevent Scala [noreply] Support named databases in Firestore connector. Fix and enable Firestore [noreply] [fixes #23000] Update the Python SDK harness state cache to be a loading [noreply] Fix permission for Build python wheel branch_repo_nightly step (#23563) [noreply] [Playground] complexity indicator (#23477) [noreply] Reolling forward property-based tests for coders (#23425) [noreply] Updated README for jupyterlab-sidepanel [noreply] fix distribution example in golang guide (#23567) ------------------------------------------ [...truncated 23.81 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 SQLAlchemy-1.4.41-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB) Collecting 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grpcio_status-1.48.2-py3-none-any.whl (14 kB) Requirement already satisfied: zipp>=0.5 in <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from importlib-metadata>=0.12->pytest<8.0,>=7.1.2->apache-beam==2.43.0.dev0) (3.9.0) 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-3.2.1-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-2.43.0.dev0-py3-none-any.whl size=2879021 sha256=10e97c28731cc61e9cf932fbd1a310b128920d0e515cef4e92ca3e336c0e3978 Stored in directory: /home/jenkins/.cache/pip/wheels/e6/1f/28/9337974c607f5f016ef124646a645ebf2fb34bdd32df5f9dd8 Successfully built apache-beam Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, 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, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.13.1 boto3-1.24.89 botocore-1.27.89 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.12.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.5 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-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.9 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3.post0 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.56.2 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.4 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.4 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.41 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.12 websocket-client-1.4.1 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:2.43.0.dev INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220914 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220914" 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-1-1011150230.1665500901.406984/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-1-1011150230.1665500901.406984/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-1-1011150230.1665500901.406984/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-1-1011150230.1665500901.406984/pipeline.pb in 0 seconds. INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20221011150821408240-7156' createTime: '2022-10-11T15:08:22.472631Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-10-11_08_08_21-5297756686154917661' location: 'us-central1' name: 'load-tests-python-dataflow-streaming-combine-1-1011150230' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-10-11T15:08:22.472631Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-10-11_08_08_21-5297756686154917661] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-10-11_08_08_21-5297756686154917661 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-11_08_08_21-5297756686154917661?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-11_08_08_21-5297756686154917661 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:28.171Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.032Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.074Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.122Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.191Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.217Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.261Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.306Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.338Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.357Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.380Z: 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:2022-10-11T15:08:29.398Z: 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:2022-10-11T15:08:29.423Z: 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:2022-10-11T15:08:29.445Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.467Z: 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:2022-10-11T15:08:29.490Z: 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:2022-10-11T15:08:29.510Z: 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:2022-10-11T15:08:29.526Z: 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:2022-10-11T15:08:29.546Z: 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:2022-10-11T15:08:29.568Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.587Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.667Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.696Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.722Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.746Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.770Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.845Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.871Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:29.889Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a... INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-11_08_08_21-5297756686154917661 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T15:08:52.744Z: 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:2022-10-11T15:09:10.468Z: 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:2022-10-11T15:09:37.523Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T16:04:25.068Z: 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:2022-10-11T16:12:28.022Z: 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:2022-10-11T16:45:28.996Z: 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:2022-10-11T17:03:32.152Z: 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:2022-10-11T17:33:31.486Z: 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:2022-10-11T17:50:34.765Z: 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:2022-10-11T18:18:37.721Z: 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:2022-10-11T18:41:39.795Z: 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:2022-10-11T19:07:39.372Z: 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:2022-10-11T19:33:40.944Z: 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:2022-10-11T19:55:45.798Z: 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 2022-10-11_08_08_21-5297756686154917661 is in state JOB_STATE_CANCELLING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T20:00:47.744Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-10-11_08_08_21-5297756686154917661. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T20:00:47.871Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T20:00:48.042Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T20:00:48.063Z: JOB_MESSAGE_BASIC: Stopping **** pool... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T20:00:48.175Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-11T20:00:48.235Z: 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 1667, 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>/2022-10-11_08_08_21-5297756686154917661?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: 70 * 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. * 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/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings BUILD FAILED in 4h 55m 3s 15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/jsf5mprnay2zs 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]
