See 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/8005/display/redirect?page=changes>

Changes:

[Kyle Weaver] [BEAM-12439] Reuse Java job servers in spark_runner.py.


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WARNING  apache_beam.options.pipeline_options:pipeline_options.py:309 
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:794 Create job: 
<Job
                                                                           
createTime: '2021-06-09T07:15:32.850212Z'
                                                                           
currentStateTime: '1970-01-01T00:00:00Z'
                                                                           id: 
'2021-06-09_00_15_31-1369194646761763814'
                                                                           
location: 'us-central1'
                                                                           
name: 'beamapp-jenkins-0609071523-734414'
                                                                           
projectId: 'apache-beam-testing'
                                                                           
stageStates: []
                                                                           
startTime: '2021-06-09T07:15:32.850212Z'
                                                                           
steps: []
                                                                           
tempFiles: []
                                                                           
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO     
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:797 Submitted job: 
2021-06-09_00_15_31-1369194646761763814
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:803 To access the 
Dataflow monitoring console, please navigate to 
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
2021-06-09T07:15:36.891Z: JOB_MESSAGE_BASIC: Worker configuration: 
n1-standard-4 in us-central1-f.
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
2021-06-09T07:15:38.909Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo 
operations into optimizable parts.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
2021-06-09T07:15:38.946Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton 
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
2021-06-09T07:15:39.293Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, 
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INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
2021-06-09T07:15:39.364Z: JOB_MESSAGE_DETAILED: Fusing consumer 
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INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
2021-06-09T07:15:39.397Z: JOB_MESSAGE_DETAILED: Fusing consumer 
dump_to_pub/Write/NativeWrite into dump_to_pub/ToProtobuf
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
2021-06-09T07:15:39.455Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and 
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
2021-06-09T07:15:39.503Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
2021-06-09T07:15:39.868Z: JOB_MESSAGE_BASIC: Executing operation 
ReadFromPubSub/Read+generate_metrics+dump_to_pub/ToProtobuf+dump_to_pub/Write/NativeWrite
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
2021-06-09T07:15:39.902Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
2021-06-09T07:15:39.926Z: JOB_MESSAGE_BASIC: Starting 1 workers in 
us-central1-f...
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 
2021-06-09T07:15:59.557Z: 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:dataflow_runner.py:236 
2021-06-09T07:16:35.106Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number 
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WARNING  
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:250 Timing out 
on waiting for job 2021-06-09_00_15_31-1369194646761763814 after 61 seconds

> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
FAILED

=================================== FAILURES ===================================
_ 
ExerciseStreamingMetricsPipelineTest.test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
 _

self = 
<apache_beam.runners.dataflow.dataflow_exercise_streaming_metrics_pipeline_test.ExerciseStreamingMetricsPipelineTest
 testMethod=test_streaming_pipeline_returns_expected_user_metrics_fnapi_it>

    @pytest.mark.it_validatesrunner
    @pytest.mark.no_sickbay_batch
    @pytest.mark.no_xdist
    def 
test_streaming_pipeline_returns_expected_user_metrics_fnapi_it(self):
      """
      Runs streaming Dataflow job and verifies that user metrics are 
reported
      correctly.
      """
      self._inject_words(self.input_topic, MESSAGES_TO_PUBLISH)
>     result = self.run_pipeline()

apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py:125:
 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py:113:
 in run_pipeline
    return dataflow_exercise_streaming_metrics_pipeline.run(argv)
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline.py:99:
 in run
    result = pipeline.run()
apache_beam/pipeline.py:564: in run
    return self.runner.run_pipeline(self, self._options)
apache_beam/runners/dataflow/test_dataflow_runner.py:54: in 
run_pipeline
    self).run_pipeline(pipeline, options)
apache_beam/runners/dataflow/dataflow_runner.py:582: in 
run_pipeline
    self.dataflow_client.create_job(self.job), self)
apache_beam/utils/retry.py:253: in wrapper
    return fun(*args, **kwargs)
apache_beam/runners/dataflow/internal/apiclient.py:657: in 
create_job
    self.create_job_description(job)
apache_beam/runners/dataflow/internal/apiclient.py:743: in 
create_job_description
    resources = self._stage_resources(job.proto_pipeline, job.options)
apache_beam/runners/dataflow/internal/apiclient.py:610: in 
_stage_resources
    resources, staging_location=google_cloud_options.staging_location)
apache_beam/runners/portability/stager.py:383: in 
stage_job_resources
    file_path, FileSystems.join(staging_location, staged_path))
apache_beam/runners/dataflow/internal/apiclient.py:1014: in 
stage_artifact
    local_path_to_artifact, artifact_name)
apache_beam/utils/retry.py:253: in wrapper
    return fun(*args, **kwargs)
apache_beam/runners/dataflow/internal/apiclient.py:559: in 
_gcs_file_copy
    self.stage_file(to_folder, to_name, f, total_size=total_size)
apache_beam/runners/dataflow/internal/apiclient.py:635: in 
stage_file
    response = self._storage_client.objects.Insert(request, 
upload=upload)
apache_beam/io/gcp/internal/clients/storage/storage_v1_client.py:1154:
 in Insert
    upload=upload, upload_config=upload_config)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/apitools/base/py/base_api.py:715:
 in _RunMethod
    http_request, client=self.client)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/apitools/base/py/transfer.py:908:
 in InitializeUpload
    return self.StreamInChunks()
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/apitools/base/py/transfer.py:1020:
 in StreamInChunks
    additional_headers=additional_headers)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/apitools/base/py/transfer.py:957:
 in __StreamMedia
    response = send_func(self.stream.tell())
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/apitools/base/py/transfer.py:943:
 in CallSendChunk
    start, additional_headers=additional_headers)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/apitools/base/py/transfer.py:1120:
 in __SendChunk
    return self.__SendMediaRequest(request, end)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/apitools/base/py/transfer.py:1033:
 in __SendMediaRequest
    retries=self.num_retries, check_response_func=CheckResponse)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/apitools/base/py/http_wrapper.py:350:
 in MakeRequest
    check_response_func=check_response_func)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/apitools/base/py/http_wrapper.py:400:
 in _MakeRequestNoRetry
    redirections=redirections, connection_type=connection_type)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/oauth2client/transport.py:175:
 in new_request
    redirections, connection_type)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/oauth2client/transport.py:282:
 in request
    connection_type=connection_type)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/oauth2client/transport.py:175:
 in new_request
    redirections, connection_type)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/oauth2client/transport.py:282:
 in request
    connection_type=connection_type)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/httplib2/__init__.py:1709:
 in request
    conn, authority, uri, request_uri, method, body, headers, redirections, 
cachekey,
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/httplib2/__init__.py:1424:
 in _request
    (response, content) = self._conn_request(conn, request_uri, method, 
body, headers)
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/httplib2/__init__.py:1376:
 in _conn_request
    response = conn.getresponse()
/usr/lib/python3.7/http/client.py:1321: in getresponse
    response.begin()
/usr/lib/python3.7/http/client.py:296: in begin
    version, status, reason = self._read_status()
/usr/lib/python3.7/http/client.py:257: in _read_status
    line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
/usr/lib/python3.7/socket.py:589: in readinto
    return self._sock.recv_into(b)
/usr/lib/python3.7/ssl.py:1052: in recv_into
    return self.read(nbytes, buffer)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <ssl.SSLSocket [closed] fd=-1, family=AddressFamily.AF_INET, 
type=SocketKind.SOCK_STREAM, proto=6>
len = 8192, buffer = <memory at 0x7f307bfd3f48>

    def read(self, len=1024, buffer=None):
        """Read up to LEN bytes and return them.
        Return zero-length string on EOF."""
    
        self._checkClosed()
        if self._sslobj is None:
            raise ValueError("Read on closed or unwrapped SSL socket.")
        try:
            if buffer is not None:
>               return self._sslobj.read(len, buffer)
E               socket.timeout: The read operation timed out

/usr/lib/python3.7/ssl.py:911: timeout
------------------------------ Captured log call -------------------------------
INFO     apache_beam.runners.portability.stager:stager.py:644 
Executing command: 
['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967052/bin/python3.7',>
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'postcommit_requirements.txt', '--exists-action', 'i', '--no-binary', ':all:']
INFO     apache_beam.runners.portability.stager:stager.py:300 Copying 
Beam SDK 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/build/apache-beam.tar.gz";>
 to staging location.
WARNING  root:environments.py:374 Make sure that locally built Python 
SDK docker image has Python 3.7 interpreter.
INFO     root:environments.py:380 Default Python SDK image for 
environment is apache/beam_python3.7_sdk:2.32.0.dev
INFO     root:environments.py:296 Using provided Python SDK container 
image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20210526
INFO     root:environments.py:304 Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20210526" for Docker 
environment
INFO     apache_beam.internal.gcp.auth:auth.py:106 Setting socket 
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INFO     apache_beam.internal.gcp.auth:auth.py:109 socket default 
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:632 Starting GCS 
upload to 
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INFO     oauth2client.transport:transport.py:157 Attempting refresh to 
obtain initial access_token
INFO     oauth2client.transport:transport.py:157 Attempting refresh to 
obtain initial access_token
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:651 Completed GCS 
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:632 Starting GCS 
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gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0609071228-860409.1623222748.860561/six-1.16.0.tar.gz...
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:651 Completed GCS 
upload to 
gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0609071228-860409.1623222748.860561/six-1.16.0.tar.gz
 in 0 seconds.
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:632 Starting GCS 
upload to 
gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0609071228-860409.1623222748.860561/PyHamcrest-1.10.1.tar.gz...
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:651 Completed GCS 
upload to 
gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0609071228-860409.1623222748.860561/PyHamcrest-1.10.1.tar.gz
 in 0 seconds.
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:632 Starting GCS 
upload to 
gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0609071228-860409.1623222748.860561/parameterized-0.7.5.tar.gz...
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:651 Completed GCS 
upload to 
gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0609071228-860409.1623222748.860561/parameterized-0.7.5.tar.gz
 in 0 seconds.
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:632 Starting GCS 
upload to 
gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0609071228-860409.1623222748.860561/dataflow_python_sdk.tar...
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:651 Completed GCS 
upload to 
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:632 Starting GCS 
upload to 
gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0609071228-860409.1623222748.860561/dataflow-worker.jar...
- generated xml file: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py37-noxdist.xml>
 -
================= 1 failed, 4601 deselected in 351.25 seconds 
==================

> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests 
> FAILED

> Task :sdks:python:test-suites:dataflow:py36:validatesRunnerStreamingTests
PASSED

- generated xml file: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py36-noxdist.xml>
 -
================= 1 passed, 4601 deselected in 458.72 seconds 
==================

> Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests
PASSED

=============================== warnings summary 
===============================
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/tenacity/_asyncio.py>:42
  
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/tenacity/_asyncio.py>:42:
 DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use 
"async def" instead
    def call(self, fn, *args, **kwargs):

-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py38-noxdist.xml>
 -
=========== 1 passed, 4601 deselected, 1 warnings in 576.28 seconds 
============

FAILURE: Build failed with an exception.

* Where:
Script 
'<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
 line: 213

* What went wrong:
Execution failed for task 
':sdks:python:test-suites:dataflow:py37: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 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See 
https://docs.gradle.org/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1h 22m 43s
89 actionable tasks: 60 executed, 29 from cache

Publishing build scan...
https://gradle.com/s/wtmd3qp3y2si2

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

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