See 
<https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/117/display/redirect?page=changes>

Changes:

[robertwb] Supporting infrastructure for dataframes on beam.

[robertwb] Basic deferred data frame implementation.

[robertwb] yapf, py2

[github] typings and docs for expressions.py

[robertwb] Minor cleanup, lint.

[github] Update Dataflow py container version (#11120)

[github] [BEAM-7923] Streaming support and pipeline pruning when instrumenting a


------------------------------------------
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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:To access the Dataflow 
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2020-03-13_15_08_43-15832829594642741164 is in state JOB_STATE_DONE
test_reshuffle_preserves_timestamps 
(apache_beam.transforms.util_test.ReshuffleTest) ... ok
WARNING:apache_beam.runners.dataflow.test_dataflow_runner:Waiting indefinitely 
for streaming job.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2020-03-13_15_17_23-12529163397607741582 is in state JOB_STATE_RUNNING
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:29.995Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.099Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.130Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.213Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.301Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.359Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.391Z: 
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.419Z: 
JOB_MESSAGE_DETAILED: Fusing unzipped copy of 
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assert_that/Group/Flatten, into producer assert_that/Group/pair_with_0
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.456Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream 
into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.492Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2643>) 
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.527Z: 
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:2020-03-13T22:17:30.559Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into 
assert_that/Create/FlatMap(<lambda at core.py:2643>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.595Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.620Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.652Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into 
Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.689Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.712Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.747Z: 
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:2020-03-13T22:17:30.780Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.814Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into 
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.847Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.880Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into 
Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.911Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into 
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.944Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into 
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:30.978Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets 
into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:31.006Z: 
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:2020-03-13T22:17:31.084Z: 
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:2020-03-13T22:17:31.120Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:31.165Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:31.192Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:31.225Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:31.257Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:34.018Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:34.053Z: 
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:34.091Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:17:58.509Z: 
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:2020-03-13T22:18:05.413Z: 
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:2020-03-13T22:18:37.800Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:18:37.842Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:23:32.441Z: 
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service 
Account.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:24:35.505Z: 
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:24:35.582Z: 
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:24:35.628Z: 
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:24:35.673Z: 
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:24:35.711Z: 
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:26:01.737Z: 
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:2020-03-13T22:26:01.809Z: 
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-03-13T22:26:01.845Z: 
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2020-03-13_15_17_23-12529163397607741582 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 2153.865s

OK
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_14_50_38-16209817018660483915?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_15_00_00-3919483331268212802?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: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-03-13_15_08_43-15832829594642741164?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 16m 53s
64 actionable tasks: 46 executed, 18 from cache

Publishing build scan...
https://gradle.com/s/vqr77ioz7co5w

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

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