See
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/3739/display/redirect?page=changes>
Changes:
[randomstep] [BEAM-11594] Upgrade gradle to version 6.8
------------------------------------------
[...truncated 1.60 MB...]
}
],
"non_parallel_inputs": {},
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}
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: '2021-01-16T13:04:21.897968Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2021-01-16_05_04_20-681422332324610809'
location: 'us-central1'
name: 'beamapp-jenkins-0116130412-923651'
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steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2021-01-16_05_04_20-681422332324610809]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2021-01-16_05_04_20-681422332324610809
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-16_05_04_20-681422332324610809?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2021-01-16_05_04_20-681422332324610809 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:20.176Z:
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:2021-01-16T13:04:20.176Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2021-01-16_05_04_20-681422332324610809.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:20.176Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2021-01-16_05_04_20-681422332324610809. The number of workers will be between 1
and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:24.211Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:24.887Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:24.907Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:24.958Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:24.981Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.007Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.040Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.086Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.131Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.164Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.192Z:
JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.217Z:
JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.243Z:
JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.276Z:
JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into
pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.300Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into
WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.322Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.349Z:
JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.372Z:
JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.394Z:
JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.419Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/ToProtobuf into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.445Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into
WriteToPubSub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.468Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.487Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.509Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:25.534Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:26.643Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:26.674Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:26.701Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:53.108Z:
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:2021-01-16T13:04:56.699Z:
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:2021-01-16T13:05:03.563Z:
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:py36:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:04:59.320Z:
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:2021-01-16T13:05:35.369Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:05:35.421Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:05:37.035Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-16T13:05:37.090Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for
job 2021-01-16_05_04_16-7991141118832236818 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/[email protected]/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET
/computeMetadata/v1/instance/service-accounts/[email protected]/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
HTTP/1.1" 200 241
> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for
job 2021-01-16_05_04_20-681422332324610809 after 364 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/[email protected]/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET
/computeMetadata/v1/instance/service-accounts/[email protected]/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
HTTP/1.1" 200 241
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-16_05_04_20-681422332324610809?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 533.549s
OK
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-16_05_04_16-7991141118832236818?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 545.579s
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:py38:testPy38CloudCoverage'.
> 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/6.8/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 10m 31s
101 actionable tasks: 89 executed, 12 from cache
Publishing build scan...
https://gradle.com/s/u3cqwlqgg47m4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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