See
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/3478/display/redirect?page=changes>
Changes:
[daniel.o.programmer] [BEAM-11074] Adjust release candidate email template to
encourage
[noreply] [BEAM-9561] Run pandas doctests in parallel. (#13286)
[noreply] [BEAM-11074] build_release_candidate usability improvements. (#13290)
------------------------------------------
[...truncated 1.15 MB...]
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
createTime: '2020-11-12T06:27:22.033831Z'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
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INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
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https://console.cloud.google.com/dataflow/jobs/us-central1/2020-11-11_22_27_20-6886965264947517735?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-11-11_22_27_20-6886965264947517735 is in state JOB_STATE_RUNNING
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:20.722Z:
JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:20.722Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:24.425Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.116Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.162Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.235Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.274Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.316Z:
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.347Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.414Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.493Z:
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.538Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.556Z:
JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.593Z:
JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.629Z:
JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.659Z:
JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into
pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.699Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into
WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.737Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.763Z:
JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.814Z:
JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.865Z:
JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.904Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/ToProtobuf into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.947Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into
WriteToPubSub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:25.980Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:26.018Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:26.044Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:26.074Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:27.203Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:27.231Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:27.268Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:40.858Z:
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:2020-11-12T06:28:02.098Z:
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:2020-11-12T06:27:34.841Z:
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:2020-11-12T06:27:34.841Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-11-11_22_27_34-9534373340737679531.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:34.841Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-11-11_22_27_34-9534373340737679531. The number of workers will be between
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:38.369Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:38.903Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:38.935Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.005Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.036Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.072Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.101Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.162Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.224Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.265Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.290Z:
JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.332Z:
JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.366Z:
JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.392Z:
JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into
pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.434Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into
WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.464Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.505Z:
JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.539Z:
JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.578Z:
JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.616Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/ToProtobuf into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.649Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into
WriteToPubSub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.695Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.726Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.763Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:39.795Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:40.923Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:40.952Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:40.987Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:27:57.481Z:
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:2020-11-12T06:28:09.505Z:
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:2020-11-12T06:28:43.143Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:28:43.179Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:28:45.232Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-12T06:28:45.264Z:
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 2020-11-11_22_27_20-6886965264947517735 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 2020-11-11_22_27_34-9534373340737679531 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
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-11-11_22_27_20-6886965264947517735?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 536.389s
OK
> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-11-11_22_27_34-9534373340737679531?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 531.490s
OK
> Task :sdks:python:test-suites:dataflow:preCommitIT_V2
FAILURE: Build completed with 3 failures.
1: Task 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.
==============================================================================
2: Task 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.
==============================================================================
3: Task 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/6.7/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 35m 42s
98 actionable tasks: 76 executed, 22 from cache
Publishing build scan...
https://gradle.com/s/2753wo7fj7flw
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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