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 ------------------------------------------ [...truncated 56.99 KB...] Using cached cffi-1.14.3-cp37-cp37m-manylinux1_x86_64.whl (401 kB) Collecting isodate>=0.6.0 Using cached isodate-0.6.0-py2.py3-none-any.whl (45 kB) Collecting requests-oauthlib>=0.5.0 Using cached requests_oauthlib-1.3.0-py2.py3-none-any.whl (23 kB) Collecting monotonic>=0.1 Using cached monotonic-1.5-py2.py3-none-any.whl (5.3 kB) Collecting googleapis-common-protos<2.0dev,>=1.6.0 Using cached googleapis_common_protos-1.52.0-py2.py3-none-any.whl (100 kB) Collecting google-crc32c<2.0dev,>=1.0; python_version >= "3.5" Using cached google_crc32c-1.0.0-cp37-cp37m-manylinux2010_x86_64.whl (39 kB) Collecting typing-inspect>=0.4.0 Using cached typing_inspect-0.6.0-py3-none-any.whl (8.1 kB) 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) Collecting apipkg>=1.4 Using cached apipkg-1.5-py2.py3-none-any.whl (4.9 kB) Collecting colorama Using cached colorama-0.4.4-py2.py3-none-any.whl (16 kB) Collecting websocket-client>=0.32.0 Using cached websocket_client-0.57.0-py2.py3-none-any.whl (200 kB) Collecting pycparser Using cached pycparser-2.20-py2.py3-none-any.whl (112 kB) Collecting oauthlib>=3.0.0 Using cached oauthlib-3.1.0-py2.py3-none-any.whl (147 kB) Collecting mypy-extensions>=0.3.0 Using cached mypy_extensions-0.4.3-py2.py3-none-any.whl (4.5 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-2.26.0.dev0-py3-none-any.whl size=2314362 sha256=4c8846e60b5e6052e85f68c28872f908fec2be10c450ec912371eef586ac013e 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' location: 'us-central1' name: 'performance-tests-psio-python-2gb1030150321' projectId: 'apache-beam-testing' stageStates: [] startTime: '2020-10-30T15:50:46.874375Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> 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' location: 'us-central1' name: 'performance-tests-psio-python-2gb1030150321' projectId: 'apache-beam-testing' stageStates: [] startTime: '2020-10-30T16:06:26.084065Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> 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 --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
