See 
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/118/display/redirect?page=changes>

Changes:

[github] Update default value in Java snippet

[github] [BEAM-9477] RowCoder should be hashable and picklable (#11088)


------------------------------------------
[...truncated 5.45 MB...]
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:04.704Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:04.813Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:04.909Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.004Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2643>) 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.041Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at 
core.py:2643>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.077Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.113Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.147Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.177Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.211Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.249Z: 
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Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.287Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) 
into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.322Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
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Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.356Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into 
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.390Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.415Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into 
Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.452Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into 
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.486Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into 
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.525Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets 
into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.568Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
assert_that/Group/Map(_merge_tagged_vals_under_key) into 
assert_that/Group/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.607Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Unkey into 
assert_that/Group/Map(_merge_tagged_vals_under_key)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.641Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.691Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.727Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.762Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:05.794Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:08.022Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:08.065Z: 
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:08.108Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:11:12.759Z: 
JOB_MESSAGE_WARNING: Your project already contains 100 Dataflow-created metric 
descriptors and Stackdriver will not create new Dataflow custom metrics for 
this job. Each unique user-defined metric name (independent of the DoFn in 
which it is defined) produces a new metric descriptor. To 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:2020-03-14T00:11:36.331Z: 
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:2020-03-14T00:12:06.941Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:12:07.036Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:17:06.972Z: 
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service 
Account.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:18:09.780Z: 
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:18:09.989Z: 
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:18:10.040Z: 
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:18:10.129Z: 
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:18:10.178Z: 
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:19:09.666Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 0 based on 
low average worker CPU utilization, and the pipeline having sufficiently low 
backlog and keeping up with input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:19:09.709Z: 
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-14T00:19:09.749Z: 
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2020-03-13_17_10_57-1907708509268727757 is in state JOB_STATE_DONE
test_element_param (apache_beam.pipeline_test.DoFnTest) ... ok
test_key_param (apache_beam.pipeline_test.DoFnTest) ... ok

----------------------------------------------------------------------
XML: nosetests-validatesRunnerStreamingTests-df.xml
----------------------------------------------------------------------
XML: 
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 27 tests in 2115.255s

OK
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_16_44_24-4254005971960119662?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_16_52_23-12146893911034271483?project=apache-beam-testing
Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
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Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_17_01_38-18015928301315676317?project=apache-beam-testing

FAILURE: Build failed with an exception.

* Where:
Build file 
'<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/py2/build.gradle'>
 line: 113

* What went wrong:
Execution failed for task 
':sdks:python:test-suites:dataflow:py2:validatesRunnerBatchTests'.
> 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 6.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See 
https://docs.gradle.org/5.2.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1h 17m 14s
64 actionable tasks: 46 executed, 18 from cache

Publishing build scan...
https://gradle.com/s/jvs64ns3bzgms

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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