See
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/8159/display/redirect>
Changes:
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[32mINFO [0m root:environments.py:295 Using provided Python SDK container
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[32mINFO [0m root:environments.py:302 Python SDK container image set to
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[33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:309
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[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:798 Create job:
<Job
createTime: '2021-07-19T13:18:05.963836Z'
currentStateTime: '1970-01-01T00:00:00Z'
id:
'2021-07-19_06_18_05-5014174082264704790'
location: 'us-central1'
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tempFiles: []
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[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:800 Created job
with id: [2021-07-19_06_18_05-5014174082264704790]
[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:801 Submitted job:
2021-07-19_06_18_05-5014174082264704790
[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:802 To access the
Dataflow monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-07-19_06_18_05-5014174082264704790?project=apache-beam-testing
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:07.759Z: 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
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:17.479Z: 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.
> Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-07-19_06_18_05-5014174082264704790?project=apache-beam-testing
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:191 Job
2021-07-19_06_18_05-5014174082264704790 is in state JOB_STATE_RUNNING
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2021-07-19T13:18:10.854Z: JOB_MESSAGE_BASIC: Worker configuration:
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:11.517Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:11.549Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:11.613Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:11.658Z: JOB_MESSAGE_DETAILED: Expanding
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:11.695Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations
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[32mINFO [0m
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2021-07-19T13:18:11.729Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:11.771Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read,
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:11.802Z: JOB_MESSAGE_DETAILED: Fusing consumer
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:11.837Z: JOB_MESSAGE_DETAILED: Fusing consumer
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[32mINFO [0m
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2021-07-19T13:18:11.869Z: JOB_MESSAGE_DETAILED: Fusing consumer
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:11.911Z: JOB_MESSAGE_DEBUG: Workflow config is missing a
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:11.950Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and
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[32mINFO [0m
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2021-07-19T13:18:11.986Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:12.020Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:12.199Z: JOB_MESSAGE_DEBUG: Executing wait step start17
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:12.266Z: JOB_MESSAGE_BASIC: Executing operation
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:12.315Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:12.346Z: JOB_MESSAGE_BASIC: Starting 1 workers in
us-central1-a...
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:18:42.436Z: 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
> Task :sdks:python:test-suites:dataflow:py36:validatesRunnerStreamingTests
[gw7] [32mPASSED[0m
apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_reiterable_side_input
- generated xml file:
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py36-xdist.xml>
-
[32m[1m=================== 29 passed, 3 skipped in 2399.31 seconds
====================[0m
>>> RUNNING integration tests with pipeline options:
>>> --runner=TestDataflowRunner --project=apache-beam-testing
>>> --region=us-central1
>>> --staging_location=gs://temp-storage-for-end-to-end-tests/staging-it
>>> --temp_location=gs://temp-storage-for-end-to-end-tests/temp-it
>>> --output=gs://temp-storage-for-end-to-end-tests/py-it-cloud/output
>>> --sdk_location=<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/build/apache-beam.tar.gz>
>>> --requirements_file=postcommit_requirements.txt --num_workers=1
>>> --sleep_secs=20 --streaming
>>> --dataflow_worker_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/runners/google-cloud-dataflow-java/worker/build/libs/beam-runners-google-cloud-dataflow-java-fn-api-worker-2.32.0-SNAPSHOT.jar>
>>>
>>> --kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test
>>>
>>> --dataflow_kms_key=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test
>>> pytest options: --capture=no --timeout=4500 --color=yes
>>> --log-cli-level=INFO
>>> collect markers: -m=it_validatesrunner and not no_sickbay_streaming and
>>> no_xdist
[1m============================= test session starts
==============================[0m
platform linux -- Python 3.6.8, pytest-4.6.11, py-1.10.0, pluggy-0.13.1
rootdir:
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python,>
inifile: pytest.ini
plugins: xdist-1.34.0, timeout-1.4.2, forked-1.3.0, requests-mock-1.9.3
timeout: 4500.0s
timeout method: signal
timeout func_only: False
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
[33mWARNING [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:250 Timing out
on waiting for job 2021-07-19_06_17_25-13629941481488867133 after 60 seconds
> Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:02.909Z: 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.
[33mWARNING [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:247 Timing out
on waiting for job 2021-07-19_06_18_05-5014174082264704790 after 60 seconds
> Task :sdks:python:test-suites:dataflow:py36:validatesRunnerStreamingTests
[1m----------------------------- live log collection
------------------------------[0m
[33mWARNING [0m root:avroio_test.py:56 python-snappy is not installed; some
tests will be skipped.
[33mWARNING [0m root:tfrecordio_test.py:55 Tensorflow is not installed, so
skipping some tests.
[33mWARNING [0m
apache_beam.runners.interactive.interactive_environment:interactive_environment.py:181
Dependencies required for Interactive Beam PCollection visualization are not
available, please use: `pip install apache-beam[interactive]` to install
necessary dependencies to enable all data visualization features.
[33mWARNING [0m
apache_beam.runners.interactive.interactive_environment:interactive_environment.py:190
You cannot use Interactive Beam features when you are not in an interactive
environment such as a Jupyter notebook or ipython terminal.
[33mWARNING [0m root:environments.py:374 Make sure that locally built Python
SDK docker image has Python 3.6 interpreter.
[32mINFO [0m root:environments.py:380 Default Python SDK image for
environment is apache/beam_python3.6_sdk:2.32.0.dev
collected 4918 items / 4917 deselected / 1 selected
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
[1m-------------------------------- live log call
---------------------------------[0m
[32mINFO [0m 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/-1734967053/bin/python3.6',>
'-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r',
'postcommit_requirements.txt', '--exists-action', 'i', '--no-binary', ':all:']
[32mINFO [0m 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.
[33mWARNING [0m root:environments.py:374 Make sure that locally built Python
SDK docker image has Python 3.6 interpreter.
[32mINFO [0m root:environments.py:380 Default Python SDK image for
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[32mINFO [0m root:environments.py:296 Using provided Python SDK container
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[32mINFO [0m root:environments.py:304 Python SDK container image set to
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[32mINFO [0m apache_beam.internal.gcp.auth:auth.py:106 Setting socket
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[32mINFO [0m apache_beam.internal.gcp.auth:auth.py:109 socket default
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[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:632 Starting GCS
upload to
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[32mINFO [0m oauth2client.transport:transport.py:157 Attempting refresh to
obtain initial access_token
[32mINFO [0m oauth2client.transport:transport.py:157 Attempting refresh to
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[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:651 Completed GCS
upload to
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in 0 seconds.
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in 0 seconds.
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in 4 seconds.
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:632 Starting GCS
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:651 Completed GCS
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in 0 seconds.
[33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:309
Discarding unparseable args: ['--sleep_secs=20',
'--kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test']
[33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:309
Discarding unparseable args: ['--sleep_secs=20',
'--kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test']
[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:798 Create job:
<Job
createTime: '2021-07-19T13:19:14.054913Z'
currentStateTime: '1970-01-01T00:00:00Z'
id:
'2021-07-19_06_19_12-16488602871190244832'
location: 'us-central1'
name: 'beamapp-jenkins-0719131906-726365'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2021-07-19T13:19:14.054913Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:800 Created job
with id: [2021-07-19_06_19_12-16488602871190244832]
[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:801 Submitted job:
2021-07-19_06_19_12-16488602871190244832
[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:807 To access the
Dataflow monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-07-19_06_19_12-16488602871190244832?project=apache-beam-testing
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-07-19_06_19_12-16488602871190244832?project=apache-beam-testing
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:191 Job
2021-07-19_06_19_12-16488602871190244832 is in state JOB_STATE_RUNNING
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:18.641Z: JOB_MESSAGE_BASIC: Worker configuration:
e2-standard-4 in us-central1-a.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.352Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo
operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.383Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton
operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.430Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey
operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.470Z: JOB_MESSAGE_DETAILED: Expanding
SplittableProcessKeyed operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.501Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations
into streaming Read/Write steps
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.530Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner
information.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.569Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read,
Write, and Flatten operations
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.591Z: JOB_MESSAGE_DETAILED: Fusing consumer
generate_metrics into ReadFromPubSub/Read
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.616Z: JOB_MESSAGE_DETAILED: Fusing consumer
dump_to_pub/ToProtobuf into generate_metrics
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.650Z: JOB_MESSAGE_DETAILED: Fusing consumer
dump_to_pub/Write/NativeWrite into dump_to_pub/ToProtobuf
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.686Z: JOB_MESSAGE_DEBUG: Workflow config is missing a
default resource spec.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.707Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and
teardown to workflow graph.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.731Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop
steps.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.781Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.898Z: JOB_MESSAGE_DEBUG: Executing wait step start17
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:20.959Z: JOB_MESSAGE_BASIC: Executing operation
ReadFromPubSub/Read+generate_metrics+dump_to_pub/ToProtobuf+dump_to_pub/Write/NativeWrite
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:21.006Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:21.037Z: JOB_MESSAGE_BASIC: Starting 1 workers in
us-central1-a...
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:19:47.956Z: 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
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-07-19T13:20:05.919Z: 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.
[33mWARNING [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:250 Timing out
on waiting for job 2021-07-19_06_19_12-16488602871190244832 after 60 seconds
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
[32mPASSED[0m
- generated xml file:
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py37-noxdist.xml>
-
[32m[1m================= 1 passed, 4917 deselected in 563.89 seconds
==================[0m
> Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests
[32mPASSED[0m
[33m=============================== warnings summary
===============================[0m
<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>
-
[33m[1m=========== 1 passed, 4917 deselected, 1 warnings in 572.27 seconds
============[0m
> Task :sdks:python:test-suites:dataflow:py36:validatesRunnerStreamingTests
[32mPASSED[0m
- generated xml file:
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py36-noxdist.xml>
-
[32m[1m================= 1 passed, 4917 deselected in 558.90 seconds
==================[0m
> Task :sdks:python:test-suites:dataflow:validatesRunnerStreamingTests
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: 156
* What went wrong:
Execution failed for task
':sdks:python:test-suites:dataflow:py37: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/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 27m 47s
92 actionable tasks: 62 executed, 30 from cache
Publishing build scan...
https://gradle.com/s/6imsfz6ya2cx4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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