See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Streaming/525/display/redirect?page=changes>
Changes: [noreply] [BEAM-12645] Fix code-cov flakes due to monorepo. (#16925) [noreply] [BEAM-13969] Deprecate stringx package (#16884) [noreply] Add Go badge to ReadMe (#16897) [noreply] [BEAM-13980] Re-add method gone missing in af2f8ee6 (#16918) [noreply] [BEAM-13884] Improve mtime package (#16924) [noreply] Minor: Update Go API doc links (#16932) [noreply] [BEAM-13218] Re-enable [noreply] Merge pull request #16857 from [BEAM-13662] [Playground] Support [noreply] Merge pull request #16826 from [BEAM-13870] [Playground] Increase test ------------------------------------------ [...truncated 23.23 KB...] Collecting grpcio-gcp<1,>=0.2.2 Using cached grpcio_gcp-0.2.2-py2.py3-none-any.whl (9.4 kB) Collecting google-cloud-dlp<4,>=3.0.0 Using cached google_cloud_dlp-3.6.0-py2.py3-none-any.whl (111 kB) Collecting google-cloud-language<2,>=1.3.0 Using cached google_cloud_language-1.3.0-py2.py3-none-any.whl (83 kB) Collecting google-cloud-videointelligence<2,>=1.8.0 Using cached google_cloud_videointelligence-1.16.1-py2.py3-none-any.whl (183 kB) Collecting 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websocket-client>=0.32.0 Using cached websocket_client-1.2.3-py3-none-any.whl (53 kB) Collecting oauthlib>=3.0.0 Using cached oauthlib-3.2.0-py3-none-any.whl (151 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-2.38.0.dev0-py3-none-any.whl size=2675920 sha256=6f851a61393cd51a29462a028dbf437bdeea375b9f005038797865c33df48288 Stored in directory: /home/jenkins/.cache/pip/wheels/4d/28/a8/75e525f0f56ebf0cac86293ab90763d6a2a3105a27bb3ba779 Successfully built apache-beam Installing collected packages: wcwidth, pytz, pyasn1, parameterized, mypy-extensions, docopt, crcmod, certifi, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, tenacity, rsa, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, 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google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob, google-cloud-pubsublite 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-2.38.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.22.1 azure-storage-blob-12.9.0 boto3-1.21.6 botocore-1.24.6 cachetools-4.2.4 certifi-2021.10.8 cffi-1.15.0 charset-normalizer-2.0.12 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-2.34.0 google-cloud-bigquery-storage-2.12.0 google-cloud-bigtable-1.7.0 google-cloud-core-1.7.2 google-cloud-datastore-1.15.3 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requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 s3transfer-0.5.1 sqlalchemy-1.4.31 tenacity-5.1.5 testcontainers-3.4.2 typing-extensions-4.1.1 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_LoadTests_Python_ParDo_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz";> to staging location. 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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/load-tests-python-dataflow-streaming-pardo-1-0224125553.1645707685.662402/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/load-tests-python-dataflow-streaming-pardo-1-0224125553.1645707685.662402/pipeline.pb... INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-streaming-pardo-1-0224125553.1645707685.662402/pipeline.pb in 0 seconds. WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', 'shuffle_mode=appliance'] WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', 'shuffle_mode=appliance'] INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job clientRequestId: '20220224130125663363-6408' createTime: '2022-02-24T13:01:26.643890Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-02-24_05_01_26-8236587008322102546' location: 'us-central1' name: 'load-tests-python-dataflow-streaming-pardo-1-0224125553' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-02-24T13:01:26.643890Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-02-24_05_01_26-8236587008322102546] INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-02-24_05_01_26-8236587008322102546 INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-02-24_05_01_26-8236587008322102546?project=apache-beam-testing INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-02-24_05_01_26-8236587008322102546 is in state JOB_STATE_PENDING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:32.837Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:33.833Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:33.874Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:33.939Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:33.977Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.017Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.050Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.079Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.119Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.156Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:898>) into Read synthetic/Impulse INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.182Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:898>) INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.217Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.251Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.285Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 0 into Measure time: Start INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.316Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 1 into Step: 0 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.350Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 2 into Step: 1 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.372Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 3 into Step: 2 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.404Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 4 into Step: 3 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.435Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 5 into Step: 4 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.466Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 6 into Step: 5 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.498Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 7 into Step: 6 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.532Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 8 into Step: 7 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.571Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 9 into Step: 8 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.604Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End into Step: 9 INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.672Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.701Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.730Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.762Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.795Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.848Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.880Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.912Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-02-24_05_01_26-8236587008322102546 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:58.543Z: 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:2022-02-24T13:02:17.623Z: 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:2022-02-24T13:02:41.937Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:02:41.957Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.127Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.212Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.245Z: JOB_MESSAGE_BASIC: Stopping **** pool... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.293Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.317Z: JOB_MESSAGE_BASIC: Stopping **** pool... Terminated The message received from the daemon indicates that the daemon has disappeared. Build request sent: Build{id=2400aabc-36a8-4129-8686-85c858eea57d, currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Streaming/ws/src}> Attempting to read last messages from the daemon log... Daemon pid: 3529954 log file: /home/jenkins/.gradle/daemon/7.3.2/daemon-3529954.out.log ----- Last 20 lines from daemon log file - daemon-3529954.out.log ----- INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.672Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.701Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.730Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.762Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.795Z: JOB_MESSAGE_DEBUG: Assigning stage ids. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.848Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.880Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.912Z: JOB_MESSAGE_DEBUG: Starting **** pool setup. INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-02-24_05_01_26-8236587008322102546 is in state JOB_STATE_RUNNING INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:58.543Z: 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:2022-02-24T13:02:17.623Z: 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:2022-02-24T13:02:41.937Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:02:41.957Z: JOB_MESSAGE_DETAILED: Workers have started successfully. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.127Z: JOB_MESSAGE_DETAILED: Cleaning up. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.212Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.245Z: JOB_MESSAGE_BASIC: Stopping **** pool... INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.293Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown. INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.317Z: JOB_MESSAGE_BASIC: Stopping **** pool... 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]
