See <https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/596/display/redirect?page=changes>
Changes: [Heejong Lee] [BEAM-13716] Clear before creating a new virtual environment in [mmack] [BEAM-13653] Make SnsIO.write topicArn optional. If provided, validate [noreply] [BEAM-10897] Update the fastavro lower bound due to an issue on Windows [noreply] [BEAM-13605] Update pandas_doctests_test denylists in preparation for [noreply] Merge pull request #16538 from [BEAM-13676][Playground][Bugfix]Build Of [noreply] Merge pull request #16582 from [BEAM-13711] [Playground] [Bugfix] Add [noreply] Merge pull request #16515 from [BEAM-13636] [Playground] Checking the [ningkang0957] [BEAM-13275] Removed the explicit selenium dependency from setup [noreply] [BEAM-10206] Deprecate unused shallow cloning functions (#16600) [noreply] Bump Dataflow container versions (#16602) [noreply] Improved multi-language pipelines section of the programming guide [mmack] [BEAM-13510] Don't retry on invalid SQS receipt handles. ------------------------------------------ [...truncated 50.24 KB...] Collecting requests_mock<2.0,>=1.7 Using cached requests_mock-1.9.3-py2.py3-none-any.whl (27 kB) Collecting tenacity<6.0,>=5.0.2 Using cached 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boto3, azure-storage-blob, apache-beam Attempting uninstall: pyparsing Found existing installation: pyparsing 3.0.7 Uninstalling pyparsing-3.0.7: Successfully uninstalled pyparsing-3.0.7 Attempting uninstall: pluggy Found existing installation: pluggy 1.0.0 Uninstalling pluggy-1.0.0: Successfully uninstalled pluggy-1.0.0 Successfully installed apache-beam-2.37.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.21.1 azure-storage-blob-12.9.0 boto3-1.20.42 botocore-1.23.42 cachetools-4.2.4 certifi-2021.10.8 cffi-1.15.0 charset-normalizer-2.0.10 cloudpickle-2.0.0 crcmod-1.7 cryptography-36.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.4.9 fasteners-0.17.3 freezegun-1.1.0 google-api-core-1.31.5 google-apitools-0.5.31 google-auth-1.35.0 google-cloud-bigquery-2.32.0 google-cloud-bigquery-storage-2.11.0 google-cloud-bigtable-1.7.0 google-cloud-core-1.7.2 google-cloud-datastore-1.15.3 google-cloud-dlp-3.5.0 google-cloud-language-1.3.0 google-cloud-pubsub-2.9.0 google-cloud-pubsublite-1.3.0 google-cloud-recommendations-ai-0.2.0 google-cloud-spanner-1.19.1 google-cloud-videointelligence-1.16.1 google-cloud-vision-1.0.0 google-crc32c-1.3.0 google-resumable-media-2.1.0 googleapis-common-protos-1.54.0 greenlet-1.1.2 grpc-google-iam-v1-0.12.3 grpcio-gcp-0.2.2 grpcio-status-1.43.0 hdfs-2.6.0 httplib2-0.19.1 idna-3.3 isodate-0.6.1 jmespath-0.10.0 libcst-0.4.0 mock-2.0.0 more-itertools-8.12.0 msrest-0.6.21 mypy-extensions-0.4.3 numpy-1.21.5 oauth2client-4.1.3 oauthlib-3.1.1 orjson-3.6.6 overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.8.0 pluggy-0.13.1 proto-plus-1.19.8 psycopg2-binary-2.9.3 pyarrow-6.0.1 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pyparsing-2.4.7 pytest-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2021.3 pyyaml-6.0 requests-2.27.1 requests-mock-1.9.3 requests-oauthlib-1.3.0 rsa-4.8 s3transfer-0.5.0 sqlalchemy-1.4.31 tenacity-5.1.5 testcontainers-3.4.2 typing-extensions-4.0.1 typing-inspect-0.7.1 typing-utils-0.1.0 urllib3-1.26.8 wcwidth-0.2.5 websocket-client-1.2.3 wrapt-1.13.3 > 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:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.37.0.dev INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220117 INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220117" 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-2gb0125150517.1643125843.127833/pickled_main_session... 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-2gb0125150517.1643125843.127833/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-2gb0125150517.1643125843.127833/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-2gb0125150517.1643125843.127833/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-2gb0125150517.1643125843.127833/dataflow-****.jar... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0125150517.1643125843.127833/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-2gb0125150517.1643125843.127833/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0125150517.1643125843.127833/pipeline.pb in 0 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 clientRequestId: '20220125155043128777-5439' createTime: '2022-01-25T15:50:49.865778Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-01-25_07_50_49-13847257344179007252' location: 'us-central1' name: 'performance-tests-psio-python-2gb0125150517' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-01-25T15:50:49.865778Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-01-25_07_50_49-13847257344179007252] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-01-25_07_50_49-13847257344179007252 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-01-25_07_50_49-13847257344179007252?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-01-25_07_50_49-13847257344179007252 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:58.017Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:58.608Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:58.639Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:58.690Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:58.732Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:58.760Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:58.786Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:58.814Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:58.847Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:58.902Z: JOB_MESSAGE_DETAILED: Fusing consumer Create input/Map(<lambda at iobase.py:898>) into Create input/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:58.931Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Create input/Map(<lambda at iobase.py:898>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:58.969Z: 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:2022-01-25T15:50:59.011Z: 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:2022-01-25T15:50:59.034Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub message in bytes INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.059Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure time INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.089Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to Pubsub/ToProtobuf INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.195Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.226Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.255Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.292Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.354Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.383Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.415Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:51:18.435Z: 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:2022-01-25T15:51:43.363Z: 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:2022-01-25T15:51:43.385Z: JOB_MESSAGE_DETAILED: Resized **** pool to 4, though goal was 5. This could be a quota issue. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:51:53.743Z: 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:2022-01-25T15:52:12.784Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:52:12.814Z: JOB_MESSAGE_DETAILED: Workers have started successfully. Terminated > Task :sdks:python:apache_beam:testing:load_tests:run FAILED The message received from the daemon indicates that the daemon has disappeared. Build request sent: Build{id=ef589f68-0b7e-4bac-922a-78d1da90f258, currentDir=<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src}> Attempting to read last messages from the daemon log... Daemon pid: 10466 log file: /home/jenkins/.gradle/daemon/7.3.2/daemon-10466.out.log ----- Last 20 lines from daemon log file - daemon-10466.out.log ----- INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:58.969Z: 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:2022-01-25T15:50:59.011Z: 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:2022-01-25T15:50:59.034Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub message in bytes INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.059Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure time INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.089Z: JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to Pubsub/ToProtobuf INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.195Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.226Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.255Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.292Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.354Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.383Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:50:59.415Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:51:18.435Z: 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:2022-01-25T15:51:43.363Z: 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:2022-01-25T15:51:43.385Z: JOB_MESSAGE_DETAILED: Resized **** pool to 4, though goal was 5. This could be a quota issue. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:51:53.743Z: 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:2022-01-25T15:52:12.784Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-01-25T15:52:12.814Z: JOB_MESSAGE_DETAILED: Workers have started successfully. Terminated Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt. ----- End of the daemon log ----- FAILURE: Build failed with an exception. * What went wrong: Gradle build daemon disappeared unexpectedly (it may have been killed or may have crashed) * 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 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]
