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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/10/21 16:33:01 UTC
Build failed in Jenkins: beam_PerformanceTests_PubsubIOIT_Python_Streaming #864
See <https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/864/display/redirect?page=changes>
Changes:
[noreply] Issue#23599 Updated dataframe notebook
[noreply] Added a missing line break.
[Kenneth Knowles] Verify that secondary key coder is deterministic in SortValues
[Chamikara Madhusanka Jayalath] Updating Python dependencies for the 2.43.0 release
[Chamikara Madhusanka Jayalath] Moving to 2.44.0-SNAPSHOT on master branch.
[noreply] Update the timeout in ValidatesContainer suite. (#23732)
[riteshghorse] fix lints
[noreply] Update google cloud vision >= 2.0.0 (#23755)
[noreply] Update GcsIO initialization to support converting input parameters to
[noreply] Adds instructions for running the Multi-language Java quickstart from
[noreply] Remove Spark2 from Java testing projects (addresses #23728) (#23749)
[noreply] bugfix/wrong-notebook-linl (#23777)
[noreply] [CdapIO] Integration CdapIO with SparkReceiverIO (#22584)
[noreply] Avoid Circular imports related to bigquery_schema_tools (#23731)
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Requirement already satisfied: zipp>=0.5 in <https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from importlib-metadata>=0.12->pytest<8.0,>=7.1.2->apache-beam==2.44.0.dev0) (3.9.0)
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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-2.44.0.dev0-py3-none-any.whl size=2878472 sha256=5c7e94ccf8616dfe0d197e2ed3eea013a6e9fbabafb73c38dddc85fa9bc0c834
Stored in directory: /home/jenkins/.cache/pip/wheels/ab/30/db/7a1d878abb34081c011192312e662d364ee443467dfb553778
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-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.1 boto3-1.24.95 botocore-1.27.95 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-2.13.0 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-2.13.10 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 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-6.56.3 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-3.2.2 objsize-0.5.2 orjson-3.8.0 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 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-2022.5 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-1.4.42 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_PerformanceTests_PubsubIOIT_Python_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:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221018
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221018" for Docker environment
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests
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/loadtests/performance-tests-psio-python-2gb1021150651.1666367475.105460/pickled_main_session...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666367475.105460/pickled_main_session in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666367475.105460/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666367475.105460/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666367475.105460/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666367475.105460/dataflow-****.jar in 5 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666367475.105460/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666367475.105460/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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createTime: '2022-10-21T15:51:21.909268Z'
currentStateTime: '1970-01-01T00:00:00Z'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-10-21_08_51_21-8124331266468647075]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-10-21_08_51_21-8124331266468647075
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-21_08_51_21-8124331266468647075?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.test_dataflow_runner:Console log:
INFO:apache_beam.runners.dataflow.test_dataflow_runner:https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-21_08_51_21-8124331266468647075?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-21_08_51_21-8124331266468647075 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:28.452Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.157Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.194Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.261Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.303Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.355Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.397Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.423Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.457Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.495Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/Map(<lambda at iobase.py:908>) into Create input/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.534Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Create input/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.569Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.600Z: JOB_MESSAGE_DETAILED: Fusing consumer Format to pubsub message in bytes into ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.643Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub message in bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.680Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.716Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.848Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.885Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.926Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:30.976Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:31.027Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:31.087Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:31.160Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:51:31.209Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T15:52:01.093Z: 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:2022-10-21T15:52:13.272Z: 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:2022-10-21T15:52:41.960Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2022-10-21_08_51_21-8124331266468647075 after 602 seconds
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results for test: 9c586ddce065474b8646e6a33b56af3e and timestamp: 1666368279.1870174:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: pubsub_io_perf_write_runtime Value: 114
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_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:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221018
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221018" for Docker environment
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666368283.492808/pickled_main_session...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666368283.492808/pickled_main_session in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666368283.492808/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666368283.492808/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666368283.492808/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666368283.492808/dataflow-****.jar in 5 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666368283.492808/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1021150651.1666368283.492808/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221021160443493812-6017'
createTime: '2022-10-21T16:04:50.493728Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-10-21_09_04_50-14192399124709970611'
location: 'us-central1'
name: 'performance-tests-psio-python-2gb1021150651'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-10-21T16:04:50.493728Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-10-21_09_04_50-14192399124709970611]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-10-21_09_04_50-14192399124709970611
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-21_09_04_50-14192399124709970611?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.test_dataflow_runner:Console log:
INFO:apache_beam.runners.dataflow.test_dataflow_runner:https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-21_09_04_50-14192399124709970611?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-21_09_04_50-14192399124709970611 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:56.697Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.257Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.291Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.344Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.420Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.453Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.507Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.579Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.611Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.642Z: JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str) into Read from pubsub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.674Z: JOB_MESSAGE_DETAILED: Fusing consumer Map(<lambda at pubsub_io_perf_test.py:171>) into Read from pubsub/Map(_from_proto_str)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.713Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at pubsub_io_perf_test.py:171>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.747Z: JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.778Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.811Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine/ConvertToAccumulators into Count messages/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.839Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/GroupByKey/WriteStream into Count messages/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.870Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into Count messages/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.905Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.937Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count messages/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:04:59.976Z: JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:05:00.009Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert to bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:05:00.039Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:05:00.074Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:05:00.112Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:05:00.137Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:05:00.165Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:05:00.201Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:05:00.273Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:05:00.311Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:05:00.356Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-21T16:05:16.937Z: 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:2022-10-21T16:05:38.868Z: 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:2022-10-21T16:06:07.479Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2022-10-21_09_04_50-14192399124709970611 after 601 seconds
ERROR:apache_beam.io.gcp.tests.pubsub_matcher:Timeout after 900 sec. Received 0 messages from projects/apache-beam-testing/subscriptions/pubsub_io_performance_083db713-748e-4e78-aacc-3199cdc4f58b_read_matcher.
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
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-21_08_51_21-8124331266468647075?project=apache-beam-testing
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/io/gcp/pubsub_io_perf_test.py",> line 223, in <module>
PubsubReadPerfTest().run()
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-21_09_04_50-14192399124709970611?project=apache-beam-testing
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 149, in run
self.result = self.pipeline.run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/test_pipeline.py",> line 114, in run
False if self.not_use_test_runner_api else test_runner_api))
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py",> line 574, in run
return self.runner.run_pipeline(self, self._options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/test_dataflow_runner.py",> line 70, in run_pipeline
hc_assert_that(self.result, pickler.loads(on_success_matcher))
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/hamcrest/core/assert_that.py",> line 44, in assert_that
_assert_match(actual=arg1, matcher=arg2, reason=arg3)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/hamcrest/core/assert_that.py",> line 60, in _assert_match
raise AssertionError(description)
AssertionError:
Expected: (Expected 1 messages.)
but: Expected 1 messages. Got 0 messages. Diffs (item, count):
Expected but not in actual: dict_items([(b'2097152', 1)])
Unexpected: dict_items([])
Unexpected (with all details): []
> 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_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71
* 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 43m 27s
92 actionable tasks: 57 executed, 33 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/sgw36ptpzffdm
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_PerformanceTests_PubsubIOIT_Python_Streaming #865
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/865/display/redirect?page=changes>
Changes:
[Moritz Mack] Remove obsolete sparkRunner task from hadoop-format: not triggered, no
[noreply] Use Flink 1.13 for load tests (#23767)
[Kenneth Knowles] Re-enable PubsubTableProviderIT.testSQLSelectsArrayAttributes
[noreply] Remove obsolete native text io translation. (#23549)
[noreply] Eliminate nullness errors from GenerateSequence (#23744)
[noreply] Add logos to case-studies "Also Used By" (#23781)
[noreply] Avoid pickling unstable reference to moved proto classes. (#23739)
[Robert Bradshaw] Unskip test_generated_class_pickle for cloudpickle.
[noreply] Allow local packages in requirements.txt dependency list. (#23684)
[noreply] Revert "Update BQIO to a single scheduled executor service reduce
[noreply] Updates Python test expansion service to use Cloud Pickle (#23786)
[noreply] Merge pull request #23795: Revert 23234: issue #23794
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Requirement already satisfied: zipp>=0.5 in <https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from importlib-metadata>=0.12->pytest<8.0,>=7.1.2->apache-beam==2.44.0.dev0) (3.9.0)
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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-2.44.0.dev0-py3-none-any.whl size=2878709 sha256=6ca47185b735a448450afecc17ba18f88008d12fba7607bba9196b01d5e6fcce
Stored in directory: /home/jenkins/.cache/pip/wheels/ab/30/db/7a1d878abb34081c011192312e662d364ee443467dfb553778
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-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.0 azure-storage-blob-12.14.1 boto3-1.24.96 botocore-1.27.96 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-2.13.0 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-2.13.10 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.2 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 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-6.56.3 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-3.2.2 objsize-0.5.2 orjson-3.8.0 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 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-2022.5 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-1.4.42 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_PerformanceTests_PubsubIOIT_Python_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:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221018
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221018" for Docker environment
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests
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/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/pickled_main_session...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/pickled_main_session in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/dataflow-****.jar in 5 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666453856.976848/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221022155056977778-1953'
createTime: '2022-10-22T15:51:03.706106Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-10-22_08_51_03-15153008281744971575'
location: 'us-central1'
name: 'performance-tests-psio-python-2gb1022150404'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-10-22T15:51:03.706106Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-10-22_08_51_03-15153008281744971575]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-10-22_08_51_03-15153008281744971575
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-22_08_51_03-15153008281744971575?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.test_dataflow_runner:Console log:
INFO:apache_beam.runners.dataflow.test_dataflow_runner:https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-22_08_51_03-15153008281744971575?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-22_08_51_03-15153008281744971575 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:11.003Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:16.806Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:20.085Z: 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:2022-10-22T15:51:21.828Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.498Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.535Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.564Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.589Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.615Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.651Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.675Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/Map(<lambda at iobase.py:908>) into Create input/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.699Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Create input/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.721Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.748Z: JOB_MESSAGE_DETAILED: Fusing consumer Format to pubsub message in bytes into ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.782Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub message in bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.808Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.835Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.935Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:23.982Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:24.016Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:24.048Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:24.082Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:24.153Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:24.175Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:51:24.233Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T15:52:04.383Z: 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:2022-10-22T15:52:33.027Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2022-10-22_08_51_03-15153008281744971575 after 724 seconds
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results for test: 8ccee0a2fd214e218cef8908d159c4b1 and timestamp: 1666454786.7062252:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: pubsub_io_perf_write_runtime Value: 282
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_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:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221018
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221018" for Docker environment
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/pickled_main_session...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/pickled_main_session in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/dataflow-****.jar in 5 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1022150404.1666454791.270981/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221022160631271906-8795'
createTime: '2022-10-22T16:06:37.655271Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-10-22_09_06_37-13225069035735778107'
location: 'us-central1'
name: 'performance-tests-psio-python-2gb1022150404'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-10-22T16:06:37.655271Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-10-22_09_06_37-13225069035735778107]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-10-22_09_06_37-13225069035735778107
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-22_09_06_37-13225069035735778107?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.test_dataflow_runner:Console log:
INFO:apache_beam.runners.dataflow.test_dataflow_runner:https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-22_09_06_37-13225069035735778107?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-22_09_06_37-13225069035735778107 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:43.314Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:44.982Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.005Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.108Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.209Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.247Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.326Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.391Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.463Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.493Z: JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str) into Read from pubsub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.527Z: JOB_MESSAGE_DETAILED: Fusing consumer Map(<lambda at pubsub_io_perf_test.py:171>) into Read from pubsub/Map(_from_proto_str)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.564Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at pubsub_io_perf_test.py:171>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.600Z: JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.640Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.674Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine/ConvertToAccumulators into Count messages/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.707Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/GroupByKey/WriteStream into Count messages/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.739Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into Count messages/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.762Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.800Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count messages/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.835Z: JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.872Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert to bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.904Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.943Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:45.981Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:46.022Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:46.055Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:46.091Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:46.177Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:46.224Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:06:46.276Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-22T16:07:04.523Z: 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:2022-10-22T16:07:28.832Z: 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:2022-10-22T16:08:04.416Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2022-10-22_09_06_37-13225069035735778107 after 724 seconds
ERROR:apache_beam.io.gcp.tests.pubsub_matcher:Timeout after 900 sec. Received 0 messages from projects/apache-beam-testing/subscriptions/pubsub_io_performance_da588dad-4066-4b04-8ceb-8ed2c2a3ed21_read_matcher.
Traceback (most recent call last):
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-22_08_51_03-15153008281744971575?project=apache-beam-testing
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-22_09_06_37-13225069035735778107?project=apache-beam-testing
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_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/io/gcp/pubsub_io_perf_test.py",> line 223, in <module>
PubsubReadPerfTest().run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 149, in run
self.result = self.pipeline.run()
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/test_pipeline.py",> line 114, in run
False if self.not_use_test_runner_api else test_runner_api))
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py",> line 574, in run
return self.runner.run_pipeline(self, self._options)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/test_dataflow_runner.py",> line 70, in run_pipeline
hc_assert_that(self.result, pickler.loads(on_success_matcher))
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/hamcrest/core/assert_that.py",> line 44, in assert_that
_assert_match(actual=arg1, matcher=arg2, reason=arg3)
File "<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/hamcrest/core/assert_that.py",> line 60, in _assert_match
raise AssertionError(description)
AssertionError:
Expected: (Expected 1 messages.)
but: Expected 1 messages. Got 0 messages. Diffs (item, count):
Expected but not in actual: dict_items([(b'2097152', 1)])
Unexpected: dict_items([])
Unexpected (with all details): []
> 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_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 71
* 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 47m 31s
92 actionable tasks: 57 executed, 33 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/gw53dbdgxil7k
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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