See 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/1548/display/redirect>

Changes:


------------------------------------------
[...truncated 7.09 MB...]
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 createTime: '2021-01-18T13:17:47.363188Z'
 currentStateTime: '1970-01-01T00:00:00Z'
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 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2021-01-18_05_17_45-7495237819585354563]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2021-01-18_05_17_45-7495237819585354563
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-18_05_17_45-7495237819585354563?project=apache-beam-testing
WARNING:apache_beam.runners.dataflow.test_dataflow_runner:Waiting indefinitely 
for streaming job.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-01-18_05_17_45-7495237819585354563 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:45.654Z: 
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 
2021-01-18_05_17_45-7495237819585354563.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:45.654Z: 
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 
2021-01-18_05_17_45-7495237819585354563. The number of workers will be between 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:45.654Z: 
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:2021-01-18T13:17:51.387Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.212Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.248Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.328Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.361Z: 
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assert_that/Group/GroupByKey: GroupByKey not followed by a combiner.
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JOB_MESSAGE_DEBUG: Combiner lifting skipped for step 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.454Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.481Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.579Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.677Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.714Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.749Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.781Z: 
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assert_that/Group/GroupByKey/WriteStream, through flatten 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.816Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream 
into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.848Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2957>) 
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.881Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at 
core.py:2957>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.915Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into 
assert_that/Create/FlatMap(<lambda at core.py:2957>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.937Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into 
assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.971Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at 
core.py:2957>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:52.993Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.037Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.076Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
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Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.131Z: 
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:2021-01-18T13:17:53.156Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.189Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.246Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.279Z: 
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Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.316Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into 
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.352Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into 
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.397Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets 
into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.432Z: 
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:2021-01-18T13:17:53.464Z: 
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:2021-01-18T13:17:53.495Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.548Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.583Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.616Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:53.650Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:54.778Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:54.805Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:17:54.838Z: 
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:18:17.533Z: 
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:2021-01-18T13:18:21.893Z: 
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:2021-01-18T13:19:04.606Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:25:56.501Z: 
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:25:56.708Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:25:56.745Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:25:56.791Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:25:56.824Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:26:46.420Z: 
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:2021-01-18T13:26:46.470Z: 
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-18T13:26:46.509Z: 
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-01-18_05_17_45-7495237819585354563 is in state JOB_STATE_DONE
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-18_04_43_31-5925162078563912784?project=apache-beam-testing
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test_gbk_many_values 
(apache_beam.runners.portability.fn_api_runner.fn_runner_test.FnApiBasedStateBackedCoderTest)
 ... ok
Test TimestampCombiner with EARLIEST. ... ok
Test TimestampCombiner with LATEST. ... ok
Runs streaming Dataflow job and verifies that user metrics are reported ... ok
test_dofn_lifecycle 
(apache_beam.transforms.dofn_lifecycle_test.DoFnLifecycleTest) ... ok
test_flatten_one_single_pcollection 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_user_counter_using_pardo (apache_beam.metrics.metric_test.MetricsTest) ... 
ok
test_flatten_multiple_pcollections_having_multiple_consumers 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_a_flattened_pcollection 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_pcollections 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_impulse (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_undeclared_outputs (apache_beam.transforms.ptransform_test.PTransformTest) 
... ok
test_multiple_empty_outputs 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_as_dict_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ... 
ok
test_par_do_with_multiple_outputs_and_using_return 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_par_do_with_multiple_outputs_and_using_yield 
(apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_as_list_and_as_dict_side_inputs 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_singleton_with_different_defaults 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_empty_singleton_side_input 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_list_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ... 
ok
test_as_singleton_without_unique_labels 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_default_value_singleton_side_input 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_flattened_side_input 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_combine 
(apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest) ... ok
test_combining_value_state 
(apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest) ... ok
test_non_liftable_combine 
(apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest) ... ok
test_iterable_side_input 
(apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_reshuffle_preserves_timestamps 
(apache_beam.transforms.util_test.ReshuffleTest) ... ok
test_element_param (apache_beam.pipeline_test.DoFnTest) ... ok
test_key_param (apache_beam.pipeline_test.DoFnTest) ... ok

----------------------------------------------------------------------
XML: nosetests-validatesRunnerStreamingTests-df-py38.xml
----------------------------------------------------------------------
XML: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 30 tests in 2625.145s

OK

> Task :sdks:python:test-suites:dataflow:validatesRunnerStreamingTestsV2

FAILURE: Build failed with an exception.

* Where:
Script 
'<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
 line: 146

* What went wrong:
Execution failed for task 
':sdks:python:test-suites:dataflow:py38: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 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 26m 32s
81 actionable tasks: 51 executed, 30 from cache

Publishing build scan...
https://gradle.com/s/4dtyiwfajttfi

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

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