See
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/8644/display/redirect?page=changes>
Changes:
[samuelw] [BEAM-12818] Write windowed file output to a consistent subdirectory
[samuelw] [BEAM-13268] Change autosharding big query inserts to happen in
parallel
[noreply] [BEAM-3293] Add check for error on NewIterable call (#16006)
------------------------------------------
[...truncated 689.79 KB...]
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[33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:309
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[32mINFO [0m
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:830 Created job
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:831 Submitted job:
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[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:832 To access the
Dataflow monitoring console, please navigate to
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:02.151Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled.
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[32mINFO [0m
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:13.294Z: JOB_MESSAGE_BASIC: Worker configuration:
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.050Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.120Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton
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2021-11-17T19:01:15.260Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.287Z: JOB_MESSAGE_DETAILED: Lifting
ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.312Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner
information.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.351Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read,
Write, and Flatten operations
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.376Z: JOB_MESSAGE_DETAILED: Fusing consumer
generate_metrics into ReadFromPubSub/Read
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.400Z: JOB_MESSAGE_DETAILED: Fusing consumer
dump_to_pub/ToProtobuf into generate_metrics
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.434Z: JOB_MESSAGE_DETAILED: Fusing consumer
dump_to_pub/Write into dump_to_pub/ToProtobuf
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.474Z: JOB_MESSAGE_DEBUG: Workflow config is missing a
default resource spec.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.503Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and
teardown to workflow graph.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.539Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop
steps.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.574Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.635Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.657Z: JOB_MESSAGE_BASIC: Starting 1 workers in
us-central1-a...
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:15.685Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:41.804Z: 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
2021-11-17T19:02:04.137Z: 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:py36:validatesRunnerStreamingTests
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:56.909Z: 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:250 Timing out
on waiting for job 2021-11-17_11_01_05-122234781851885192 after 60 seconds
> Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-11-17_11_01_34-16785883091479099826?project=apache-beam-testing
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:191 Job
2021-11-17_11_01_34-16785883091479099826 is in state JOB_STATE_RUNNING
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:34.664Z: JOB_MESSAGE_BASIC: Streaming Engine auto-enabled. Use
--experiments=disable_streaming_engine to opt out.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:34.664Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled.
Use --experiments=disable_runner_v2 to opt out.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:38.501Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for
Dataflow Streaming Engine. Workers will scale between 1 and 100 unless
maxNumWorkers is specified.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:38.745Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2021-11-17_11_01_34-16785883091479099826. The number of workers will be between
1 and 100.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:38.775Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically
enabled for job 2021-11-17_11_01_34-16785883091479099826.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:48.966Z: JOB_MESSAGE_BASIC: Worker configuration:
e2-standard-2 in us-central1-a.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:50.978Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo
operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.024Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton
operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.093Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey
operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.136Z: JOB_MESSAGE_DETAILED: Expanding
SplittableProcessKeyed operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.169Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations
into streaming Read/Write steps
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.193Z: JOB_MESSAGE_DETAILED: Lifting
ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.226Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner
information.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.255Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read,
Write, and Flatten operations
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.284Z: JOB_MESSAGE_DETAILED: Fusing consumer
generate_metrics into ReadFromPubSub/Read
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.407Z: JOB_MESSAGE_DETAILED: Fusing consumer
dump_to_pub/ToProtobuf into generate_metrics
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.432Z: JOB_MESSAGE_DETAILED: Fusing consumer
dump_to_pub/Write into dump_to_pub/ToProtobuf
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.470Z: JOB_MESSAGE_DEBUG: Workflow config is missing a
default resource spec.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.500Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and
teardown to workflow graph.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.538Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop
steps.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.571Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.626Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.658Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:01:51.690Z: JOB_MESSAGE_BASIC: Starting 1 workers in
us-central1-a...
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:02:04.990Z: 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:py37:validatesRunnerStreamingTests
[33mWARNING [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:250 Timing out
on waiting for job 2021-11-17_11_01_02-10424594124438878369 after 60 seconds
> Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2021-11-17T19:02:37.202Z: 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 2021-11-17_11_01_34-16785883091479099826 after 60 seconds
> 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, 5108 deselected in 639.18 seconds
==================[0m
> 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, 5108 deselected in 657.55 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, 5108 deselected, 1 warnings in 650.20 seconds
============[0m
> Task :sdks:python:test-suites:dataflow:validatesRunnerStreamingTests
FAILURE: Build completed with 3 failures.
1: Task 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: 149
* 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.
==============================================================================
2: Task 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: 149
* 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.
==============================================================================
3: Task 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: 149
* What went wrong:
Execution failed for task
':sdks:python:test-suites:dataflow:py36: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/6.9.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 11m 19s
92 actionable tasks: 66 executed, 26 from cache
Publishing build scan...
https://gradle.com/s/nnq5jirn4ojv4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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