See
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/3332/display/redirect>
Changes:
------------------------------------------
[...truncated 1.50 MB...]
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: '2020-10-06T12:28:46.774886Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2020-10-06_05_28_45-4455211983809011379'
location: 'us-central1'
name: 'beamapp-jenkins-1006122838-387810'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2020-10-06T12:28:46.774886Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2020-10-06_05_28_45-4455211983809011379]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2020-10-06_05_28_45-4455211983809011379
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-06_05_28_45-4455211983809011379?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-10-06_05_28_45-4455211983809011379 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:45.508Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-10-06_05_28_45-4455211983809011379.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:45.508Z:
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:2020-10-06T12:28:45.508Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-10-06_05_28_45-4455211983809011379. The number of workers will be between
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:49.421Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.157Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.184Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.255Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.292Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.326Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.370Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.429Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.475Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.504Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.540Z:
JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.573Z:
JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.603Z:
JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.632Z:
JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into
pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.663Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into
WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.698Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.734Z:
JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.757Z:
JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.789Z:
JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.824Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into
encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.864Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.891Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.913Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:50.938Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:52.050Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:52.081Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-c...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:28:52.110Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:29:04.511Z:
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:2020-10-06T12:29:17.337Z:
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:2020-10-06T12:29:19.636Z:
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:2020-10-06T12:29:23.033Z:
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:py37:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:30:00.099Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:30:00.131Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:30:10.669Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-06T12:30:10.701Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for
job 2020-10-06_05_28_43-5664023499490668203 after 364 seconds
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for
job 2020-10-06_05_28_45-4455211983809011379 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/[email protected]/token
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET
/computeMetadata/v1/instance/service-accounts/[email protected]/token
HTTP/1.1" 200 221
> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
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
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET
/computeMetadata/v1/instance/service-accounts/[email protected]/token
HTTP/1.1" 200 221
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-06_05_28_43-5664023499490668203?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 587.148s
OK
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-06_05_28_45-4455211983809011379?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 606.767s
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 38m 17s
82 actionable tasks: 60 executed, 22 from cache
Publishing build scan...
https://gradle.com/s/x65lrrez2xyew
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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