See 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/931/display/redirect>

Changes:


------------------------------------------
[...truncated 5.27 MB...]
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 createTime: u'2020-08-17T01:05:36.630644Z'
 currentStateTime: u'1970-01-01T00:00:00Z'
 id: u'2020-08-16_18_05_35-14160534900950674196'
 location: u'us-central1'
 name: u'beamapp-jenkins-0817010526-489885'
 projectId: u'apache-beam-testing'
 stageStates: []
 startTime: u'2020-08-17T01:05:36.630644Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2020-08-16_18_05_35-14160534900950674196]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2020-08-16_18_05_35-14160534900950674196
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_18_05_35-14160534900950674196?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 
2020-08-16_18_05_35-14160534900950674196 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:35.239Z: 
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:2020-08-17T01:05:35.239Z: 
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 
2020-08-16_18_05_35-14160534900950674196. The number of workers will be between 
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:35.239Z: 
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 
2020-08-16_18_05_35-14160534900950674196.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:39.882Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:40.635Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:40.673Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:40.759Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:40.787Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step 
assert_that/Group/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:40.819Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not 
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:40.865Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:40.895Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.012Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.098Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.153Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.188Z: 
JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.225Z: 
JOB_MESSAGE_DETAILED: Fusing unzipped copy of 
assert_that/Group/GroupByKey/WriteStream, through flatten 
assert_that/Group/Flatten, into producer assert_that/Group/pair_with_0
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.261Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream 
into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.305Z: 
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:2020-08-17T01:05:41.342Z: 
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:2020-08-17T01:05:41.387Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.426Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into 
Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.461Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.496Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into 
Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.579Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into 
assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.613Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into 
assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.647Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets 
into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.682Z: 
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:2020-08-17T01:05:41.717Z: 
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:2020-08-17T01:05:41.749Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.785Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2826>) 
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.819Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at 
core.py:2826>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.853Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into 
assert_that/Create/FlatMap(<lambda at core.py:2826>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.886Z: 
JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into 
assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.926Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at 
core.py:2826>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.962Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into 
Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:41.994Z: 
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:2020-08-17T01:05:42.052Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:42.088Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:42.124Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:42.160Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:44.393Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:44.437Z: 
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:05:44.563Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:06:03.733Z: 
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:2020-08-17T01:06:08.095Z: 
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:2020-08-17T01:06:46.755Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:06:46.786Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:11:50.789Z: 
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:11:50.858Z: 
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:11:50.887Z: 
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:11:50.928Z: 
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:11:50.963Z: 
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:12:35.908Z: 
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:2020-08-17T01:12:35.952Z: 
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-08-17T01:12:35.990Z: 
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2020-08-16_18_05_35-14160534900950674196 is in state JOB_STATE_DONE
test_element_param (apache_beam.pipeline_test.DoFnTest) ... ok
test_key_param (apache_beam.pipeline_test.DoFnTest) ... ok

======================================================================
ERROR: Runs streaming Dataflow job and verifies that user metrics are reported
----------------------------------------------------------------------
Traceback (most recent call last):
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py";,>
 line 76, in setUp
    self.input_topic.name)
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-194514014/local/lib/python2.7/site-packages/google/cloud/pubsub_v1/_gapic.py";,>
 line 40, in <lambda>
    fx = lambda self, *a, **kw: wrapped_fx(self.api, *a, **kw)  # noqa
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-194514014/local/lib/python2.7/site-packages/google/cloud/pubsub_v1/gapic/subscriber_client.py";,>
 line 439, in create_subscription
    request, retry=retry, timeout=timeout, metadata=metadata
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-194514014/local/lib/python2.7/site-packages/google/api_core/gapic_v1/method.py";,>
 line 145, in __call__
    return wrapped_func(*args, **kwargs)
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-194514014/local/lib/python2.7/site-packages/google/api_core/retry.py";,>
 line 286, in retry_wrapped_func
    on_error=on_error,
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-194514014/local/lib/python2.7/site-packages/google/api_core/retry.py";,>
 line 184, in retry_target
    return target()
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-194514014/local/lib/python2.7/site-packages/google/api_core/timeout.py";,>
 line 214, in func_with_timeout
    return func(*args, **kwargs)
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-194514014/local/lib/python2.7/site-packages/google/api_core/grpc_helpers.py";,>
 line 59, in error_remapped_callable
    six.raise_from(exceptions.from_grpc_error(exc), exc)
  File 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-194514014/local/lib/python2.7/site-packages/six.py";,>
 line 738, in raise_from
    raise value
ResourceExhausted: 429 Your project has exceeded a limit: 
(type="subscriptions-per-project", current=10000, maximum=10000).
-------------------- >> begin captured logging << --------------------
google.auth._default: DEBUG: Checking None for explicit credentials as part of 
auth process...
google.auth._default: DEBUG: Checking Cloud SDK credentials as part of auth 
process...
google.auth._default: DEBUG: Cloud SDK credentials not found on disk; not using 
them
google.auth._default: DEBUG: Checking for App Engine runtime as part of auth 
process...
google.auth._default: DEBUG: No App Engine library was found so cannot 
authentication via App Engine Identity Credentials.
google.auth.transport._http_client: DEBUG: Making request: GET 
http://169.254.169.254
google.auth.transport._http_client: DEBUG: Making request: GET 
http://metadata.google.internal/computeMetadata/v1/project/project-id
google.auth.transport.requests: DEBUG: Making request: GET 
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
urllib3.connectionpool: DEBUG: Starting new HTTP connection (1): 
metadata.google.internal:80
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET 
/computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 
200 144
google.auth.transport.requests: DEBUG: Making request: GET 
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/[email protected]/token
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET 
/computeMetadata/v1/instance/service-accounts/[email protected]/token
 HTTP/1.1" 200 221
google.auth._default: DEBUG: Checking None for explicit credentials as part of 
auth process...
google.auth._default: DEBUG: Checking Cloud SDK credentials as part of auth 
process...
google.auth._default: DEBUG: Cloud SDK credentials not found on disk; not using 
them
google.auth._default: DEBUG: Checking for App Engine runtime as part of auth 
process...
google.auth._default: DEBUG: No App Engine library was found so cannot 
authentication via App Engine Identity Credentials.
google.auth.transport._http_client: DEBUG: Making request: GET 
http://169.254.169.254
google.auth.transport._http_client: DEBUG: Making request: GET 
http://metadata.google.internal/computeMetadata/v1/project/project-id
google.auth.transport.requests: DEBUG: Making request: GET 
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
urllib3.connectionpool: DEBUG: Starting new HTTP connection (1): 
metadata.google.internal:80
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET 
/computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 
200 144
google.auth.transport.requests: DEBUG: Making request: GET 
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/[email protected]/token
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET 
/computeMetadata/v1/instance/service-accounts/[email protected]/token
 HTTP/1.1" 200 221
--------------------- >> end captured logging << ---------------------

----------------------------------------------------------------------
XML: nosetests-validatesRunnerStreamingTests-df-py27.xml
----------------------------------------------------------------------
XML: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 27 tests in 1992.437s

FAILED (errors=1)
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_40_09-8925388064826928917?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_48_39-16615382639843877542?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_57_05-7687021303308362180?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_18_05_35-14160534900950674196?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_40_09-12292424192924704450?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_48_34-5692813976270245373?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_57_01-7488581809795383697?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_40_07-5423281707886050446?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_47_35-3176086478916186009?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_55_05-11903521521697498262?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_40_13-10749870785007294650?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_48_38-12378472246412318071?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_57_06-16217819675912709609?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_40_07-1549742671080195278?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_47_34-74565874011384297?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_56_09-15366337536644463948?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_40_09-2351333118970885969?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_48_39-18261698132586219881?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_40_10-18400913828873789438?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_48_36-9283603674778190390?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_57_03-5641475238366892121?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_40_08-16276428212169110076?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-08-16_17_48_35-8857615886873162151?project=apache-beam-testing

> Task :sdks:python:test-suites:dataflow:py2:validatesRunnerStreamingTests 
> FAILED

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: 173

* What went wrong:
Execution failed for task 
':sdks:python:test-suites:dataflow:py2:validatesRunnerStreamingTests'.
> 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 12m 23s
65 actionable tasks: 47 executed, 18 from cache

Publishing build scan...
https://gradle.com/s/e6hwmlw3luwgq

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

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