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Build failed in Jenkins: beam_PreCommit_Python_Cron #3319
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Changes:
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[...truncated 1.44 MB...]
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2020-10-02_23_27_52-9165277199966145147]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2020-10-02_23_27_52-9165277199966145147
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-02_23_27_52-9165277199966145147?project=apache-beam-testing
> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2020-10-02_23_27_28-2937938311624882132 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:28.664Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2020-10-02_23_27_28-2937938311624882132. The number of workers will be between 1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:28.664Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2020-10-02_23_27_28-2937938311624882132.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:28.664Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine. Workers will scale between 1 and 100 unless maxNumWorkers is specified.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:33.565Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.390Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.419Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.509Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.546Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.578Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.629Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.692Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.765Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.795Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.833Z: JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.873Z: JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.904Z: JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.938Z: JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:34.978Z: JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:35.006Z: JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:35.041Z: JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:35.075Z: JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:35.107Z: JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:35.147Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:35.186Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:35.221Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:35.244Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:35.278Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:36.389Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:36.420Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:36.458Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:45.551Z: 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:2020-10-03T06:27:58.772Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 so that the pipeline can catch up with its backlog and keep up with its input rate.
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2020-10-02_23_27_52-9165277199966145147 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:52.696Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2020-10-02_23_27_52-9165277199966145147.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:52.696Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2020-10-02_23_27_52-9165277199966145147. The number of workers will be between 1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:52.696Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine. Workers will scale between 1 and 100 unless maxNumWorkers is specified.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:58.450Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.272Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.305Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.384Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.426Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.473Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.516Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.601Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.664Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.780Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.825Z: JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.855Z: JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.885Z: JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.912Z: JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.944Z: JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:27:59.980Z: JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:00.010Z: JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:00.044Z: JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:00.079Z: JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:00.114Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:00.155Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:00.214Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:00.245Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:00.286Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:01.418Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:01.457Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:01.491Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:26.597Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers 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:2020-10-03T06:28:34.463Z: 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
> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:32.484Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:28:32.517Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:29:06.444Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-03T06:29:06.496Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2020-10-02_23_27_28-2937938311624882132 after 360 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth process...
DEBUG:google.auth._default:No App Engine library was found so cannot authentication via App Engine Identity Credentials.
DEBUG:google.auth.transport._http_client:Making request: GET http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token HTTP/1.1" 200 221
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2020-10-02_23_27_52-9165277199966145147 after 365 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth process...
DEBUG:google.auth._default:No App Engine library was found so cannot authentication via App Engine Identity Credentials.
DEBUG:google.auth.transport._http_client:Making request: GET http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1): metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
DEBUG:google.auth.transport.requests:Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token HTTP/1.1" 200 221
> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-02_23_27_28-2937938311624882132?project=apache-beam-testing
test_streaming_wordcount_it (apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok
----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py36.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 490.251s
OK
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-02_23_27_52-9165277199966145147?project=apache-beam-testing
test_streaming_wordcount_it (apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok
----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py37.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 498.792s
OK
> Task :sdks:python:test-suites:dataflow:preCommitIT_V2
FAILURE: Build failed with an exception.
* What went wrong:
Execution failed for task ':sdks:python:test-suites:tox:py36:testPy36Cloud'.
> Process 'command 'sh'' finished with non-zero exit value 1
* 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 35m 33s
82 actionable tasks: 60 executed, 22 from cache
Publishing build scan...
https://gradle.com/s/tsdkd3j6qkhs2
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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