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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2020/10/01 06:35:53 UTC
Build failed in Jenkins: beam_PreCommit_Python_Cron #3311
See <https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/3311/display/redirect>
Changes:
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[...truncated 1.43 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: [2020-09-30_23_27_41-2852747666188538567]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2020-09-30_23_27_41-2852747666188538567
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2020-09-30_23_27_41-2852747666188538567?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2020-09-30_23_27_41-2852747666188538567 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:41.359Z: 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:2020-10-01T06:27:41.359Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2020-09-30_23_27_41-2852747666188538567. The number of workers will be between 1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:41.359Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2020-09-30_23_27_41-2852747666188538567.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:46.404Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:47.093Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:47.132Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:47.237Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:47.299Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:47.373Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:47.402Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:47.480Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:47.577Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:47.781Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:47.862Z: JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:47.923Z: JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:47.984Z: JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:48.026Z: JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:48.071Z: JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:48.099Z: JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:48.138Z: JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:48.180Z: JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:48.231Z: JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:48.262Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:48.404Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:48.460Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:48.503Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:48.573Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:49.769Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:49.873Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:27:49.905Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:28:04.995Z: 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:2020-10-01T06:28:16.835Z: 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:2020-10-01T06:28:00.312Z: 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:2020-10-01T06:28:34.145Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:28:34.184Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:28:59.701Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-01T06:28:59.769Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2020-09-30_23_27_15-5757727616045119537 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:py36:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for job 2020-09-30_23_27_41-2852747666188538567 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
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2020-09-30_23_27_15-5757727616045119537?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 507.305s
OK
> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2020-09-30_23_27_41-2852747666188538567?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 503.134s
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:py37:testPy37Cloud'.
> 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 25s
82 actionable tasks: 61 executed, 21 from cache
Publishing build scan...
https://gradle.com/s/elhuxvybcioxy
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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