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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2020/10/30 16:34:30 UTC
Build failed in Jenkins:
beam_PerformanceTests_PubsubIOIT_Python_Streaming #151
See <https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/151/display/redirect?page=changes>
Changes:
[Boyuan Zhang] [BEAM-10869] Make WriteToPubsub output serialized PubsubMessage proto
[tysonjh] Increase Dataflow V2 validates runner timeout.
[noreply] [BEAM-9547] Dataframe corrwith. (#13141)
[noreply] Optimizes extract_output for 1 element accumulator case. (#13220)
[noreply] [BEAM-5465] Run cleanVendor task when clean is invoked (#13222)
[noreply] [BEAM-9615] Add schema coders and tests. #13209
[noreply] [BEAM-5504] Add Avro support to Pubsub table provider (#12780)
[noreply] [BEAM-9547] Implementation for drop, explode (#13139)
[noreply] Merge pull request #13210 from [BEAM-10994] Update hot key detection log
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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; python_version < "3.8"->pytest<5.0,>=4.4.0->apache-beam==2.26.0.dev0) (3.4.0)
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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'
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Stored in directory: /home/jenkins/.cache/pip/wheels/ab/30/db/7a1d878abb34081c011192312e662d364ee443467dfb553778
Successfully built apache-beam
Installing collected packages: avro-python3, crcmod, dill, fastavro, docopt, chardet, idna, certifi, urllib3, requests, hdfs, httplib2, pbr, mock, numpy, pymongo, pyasn1, pyasn1-modules, rsa, oauth2client, pyarrow, pyparsing, pydot, python-dateutil, pytz, typing-extensions, jmespath, botocore, s3transfer, boto3, azure-core, pycparser, cffi, cryptography, isodate, oauthlib, requests-oauthlib, msrest, azure-storage-blob, cachetools, monotonic, fasteners, google-apitools, google-auth, googleapis-common-protos, google-api-core, google-cloud-core, google-cloud-datastore, grpc-google-iam-v1, google-cloud-pubsub, google-crc32c, google-resumable-media, google-cloud-bigquery, google-cloud-bigtable, google-cloud-spanner, grpcio-gcp, google-cloud-dlp, google-cloud-language, google-cloud-videointelligence, google-cloud-vision, proto-plus, pyyaml, mypy-extensions, typing-inspect, libcst, google-cloud-build, freezegun, nose, nose-xunitmp, pandas, parameterized, pyhamcrest, requests-mock, tenacity, attrs, wcwidth, atomicwrites, packaging, more-itertools, pytest, pytest-forked, apipkg, execnet, pytest-xdist, pytest-timeout, sqlalchemy, psycopg2-binary, blindspin, deprecation, wrapt, colorama, crayons, websocket-client, docker, testcontainers, apache-beam
> Task :runners:google-cloud-dataflow-java:****:shadowJar
> Task :sdks:python:apache_beam:testing:load_tests:installGcpTest
Successfully installed apache-beam-2.26.0.dev0 apipkg-1.5 atomicwrites-1.4.0 attrs-20.2.0 avro-python3-1.9.2.1 azure-core-1.8.2 azure-storage-blob-12.5.0 blindspin-2.0.1 boto3-1.16.8 botocore-1.19.8 cachetools-4.1.1 certifi-2020.6.20 cffi-1.14.3 chardet-3.0.4 colorama-0.4.4 crayons-0.4.0 crcmod-1.7 cryptography-3.2.1 deprecation-2.1.0 dill-0.3.1.1 docker-4.3.1 docopt-0.6.2 execnet-1.7.1 fastavro-1.0.0.post1 fasteners-0.15 freezegun-1.0.0 google-api-core-1.23.0 google-apitools-0.5.31 google-auth-1.23.0 google-cloud-bigquery-1.28.0 google-cloud-bigtable-1.5.1 google-cloud-build-2.0.0 google-cloud-core-1.4.3 google-cloud-datastore-1.15.3 google-cloud-dlp-1.0.0 google-cloud-language-1.3.0 google-cloud-pubsub-1.7.0 google-cloud-spanner-1.19.1 google-cloud-videointelligence-1.16.0 google-cloud-vision-1.0.0 google-crc32c-1.0.0 google-resumable-media-1.1.0 googleapis-common-protos-1.52.0 grpc-google-iam-v1-0.12.3 grpcio-gcp-0.2.2 hdfs-2.5.8 httplib2-0.17.4 idna-2.10 isodate-0.6.0 jmespath-0.10.0 libcst-0.3.13 mock-2.0.0 monotonic-1.5 more-itertools-8.6.0 msrest-0.6.19 mypy-extensions-0.4.3 nose-1.3.7 nose-xunitmp-0.4.1 numpy-1.19.3 oauth2client-4.1.3 oauthlib-3.1.0 packaging-20.4 pandas-1.1.3 parameterized-0.7.4 pbr-5.5.1 proto-plus-1.11.0 psycopg2-binary-2.8.6 pyarrow-0.17.1 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.20 pydot-1.4.1 pyhamcrest-1.10.1 pymongo-3.11.0 pyparsing-2.4.7 pytest-4.6.11 pytest-forked-1.3.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.1 pytz-2020.1 pyyaml-5.3.1 requests-2.24.0 requests-mock-1.8.0 requests-oauthlib-1.3.0 rsa-4.6 s3transfer-0.3.3 sqlalchemy-1.3.20 tenacity-5.1.5 testcontainers-3.1.0 typing-extensions-3.7.4.3 typing-inspect-0.6.0 urllib3-1.25.11 wcwidth-0.2.5 websocket-client-0.57.0 wrapt-1.12.1
> 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.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Using Python SDK docker image: apache/beam_python3.7_sdk:2.26.0.dev. If the image is not available at local, we will try to pull from hub.docker.com
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-2gb1030150321.1604073040.032197/pipeline.pb...
INFO:oauth2client.transport:Attempting refresh to obtain initial access_token
INFO:oauth2client.transport:Attempting refresh to obtain initial access_token
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1030150321.1604073040.032197/pipeline.pb 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-2gb1030150321.1604073040.032197/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-2gb1030150321.1604073040.032197/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-2gb1030150321.1604073040.032197/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-2gb1030150321.1604073040.032197/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-2gb1030150321.1604073040.032197/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1030150321.1604073040.032197/dataflow-****.jar in 5 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--pubsub_namespace_prefix=pubsub_io_performance_']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--pubsub_namespace_prefix=pubsub_io_performance_']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: '2020-10-30T15:50:46.874375Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2020-10-30_08_50_45-16721455623439909432'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2020-10-30_08_50_45-16721455623439909432]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2020-10-30_08_50_45-16721455623439909432
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-30_08_50_45-16721455623439909432?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2020-10-30_08_50_45-16721455623439909432 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:45.722Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:45.722Z: JOB_MESSAGE_BASIC: Streaming Engine auto-enabled. Use --experiments=disable_streaming_engine to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:49.461Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.052Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.084Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.151Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.179Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Create input/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.223Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.256Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.312Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.363Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.407Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.447Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/Split into Create input/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.483Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/Reshuffle/AddRandomKeys into Create input/Split
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.520Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Create input/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.545Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into Create input/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.577Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into Create input/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.619Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into Create input/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.656Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/Reshuffle/RemoveRandomKeys into Create input/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.744Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/ReadSplits into Create input/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.777Z: JOB_MESSAGE_DETAILED: Fusing consumer Format to pubsub message in bytes into Create input/ReadSplits
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.828Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub message in bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.857Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.886Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write/NativeWrite into Write to Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.929Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.955Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.985Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:51.016Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:52.319Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:52.353Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:52.392Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:51:23.591Z: 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:2020-10-30T15:57:17.606Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 1 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:57:17.636Z: JOB_MESSAGE_DETAILED: Resized **** pool to 1, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:57:41.928Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:57:42.033Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:58:05.219Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 2 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:58:05.253Z: JOB_MESSAGE_DETAILED: Resized **** pool to 2, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:58:10.543Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 3 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:58:10.584Z: JOB_MESSAGE_DETAILED: Resized **** pool to 3, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:58:15.854Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 4 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:58:15.881Z: JOB_MESSAGE_DETAILED: Resized **** pool to 4, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:59:50.762Z: 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.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2020-10-30_08_50_45-16721455623439909432 after 603 seconds
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.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Using Python SDK docker image: apache/beam_python3.7_sdk:2.26.0.dev. If the image is not available at local, we will try to pull from hub.docker.com
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-2gb1030150321.1604073979.332974/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1030150321.1604073979.332974/pipeline.pb 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-2gb1030150321.1604073979.332974/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-2gb1030150321.1604073979.332974/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-2gb1030150321.1604073979.332974/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-2gb1030150321.1604073979.332974/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-2gb1030150321.1604073979.332974/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1030150321.1604073979.332974/dataflow-****.jar in 5 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--pubsub_namespace_prefix=pubsub_io_performance_']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--pubsub_namespace_prefix=pubsub_io_performance_']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: '2020-10-30T16:06:26.084065Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2020-10-30_09_06_24-2418369716365089537'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2020-10-30_09_06_24-2418369716365089537]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2020-10-30_09_06_24-2418369716365089537
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-30_09_06_24-2418369716365089537?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2020-10-30_09_06_24-2418369716365089537 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:24.991Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:24.991Z: JOB_MESSAGE_BASIC: Streaming Engine auto-enabled. Use --experiments=disable_streaming_engine to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:30.670Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.383Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.414Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.482Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.558Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.589Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.672Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.734Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.782Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.811Z: JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str) into Read from pubsub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.856Z: JOB_MESSAGE_DETAILED: Fusing consumer Map(<lambda at pubsub_io_perf_test.py:173>) into Read from pubsub/Map(_from_proto_str)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.896Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at pubsub_io_perf_test.py:173>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.961Z: JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.007Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.053Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine/ConvertToAccumulators into Count messages/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.086Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/GroupByKey/WriteStream into Count messages/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.133Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into Count messages/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.167Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.193Z: JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count messages/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.220Z: JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.267Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert to bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.306Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write/NativeWrite into Write to Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.354Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.383Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.416Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.451Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:33.801Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:33.827Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:33.868Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:56.543Z: 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:2020-10-30T16:09:55.429Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 1 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:09:55.464Z: JOB_MESSAGE_DETAILED: Resized **** pool to 1, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:10:14.870Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:10:14.906Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:10:16.450Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 2 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:10:16.485Z: JOB_MESSAGE_DETAILED: Resized **** pool to 2, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:10:21.788Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 3 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:10:21.818Z: JOB_MESSAGE_DETAILED: Resized **** pool to 3, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:11:14.505Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 4 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:11:14.543Z: JOB_MESSAGE_DETAILED: Resized **** pool to 4, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:11:51.480Z: 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.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2020-10-30_09_06_24-2418369716365089537 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_1f50da5d-387c-40a6-8f4b-81a23023f79b_read_matcher.
Traceback (most recent call last):
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-30_08_50_45-16721455623439909432?project=apache-beam-testing
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-30_09_06_24-2418369716365089537?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 225, 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 150, 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 112, 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 547, 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 72, 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([])
> 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: 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 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See https://docs.gradle.org/6.6.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 45m 9s
64 actionable tasks: 42 executed, 22 from cache
Publishing build scan...
https://gradle.com/s/kxpjgzlufrtiy
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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