See
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/9290/display/redirect?page=changes>
Changes:
[noreply] Revert "Improvement to Seed job configuration to launch against PRs
------------------------------------------
[...truncated 255.87 KB...]
[1m request,[0m
[1m timeout=None,[0m
[1m metadata=None,[0m
[1m credentials=None,[0m
[1m wait_for_ready=None,[0m
[1m compression=None):[0m
[1m state, call, = self._blocking(request, timeout, metadata,
credentials,[0m
[1m wait_for_ready, compression)[0m
[1m> return _end_unary_response_blocking(state, call, False, None)[0m
[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/grpc/_channel.py[0m:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7f6576621910>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7f65765d4540>
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[1m[31mE grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC
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[1m[31mE >[0m
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[1m[31mapache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py[0m:124:
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[1m response = sub_client.pull([0m
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in pull
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[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/gapic_v1/method.py[0m:145:
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[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/retry.py[0m:286:
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[1m return target()[0m
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[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/grpc_helpers.py[0m:69:
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_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
value = None
from_value = <_InactiveRpcError of RPC that terminated with:
status = StatusCode.DEADLINE_EXCEEDED
details = "Deadline Exceeded"
...92.95:443","file":"src/core/lib/surface/call.cc","file_line":903,"grpc_message":"Deadline
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>
[1m> ???[0m
[1m[31mE google.api_core.exceptions.DeadlineExceeded: 504 Deadline
Exceeded[0m
[1m[31m<string>[0m:3: DeadlineExceeded
------------------------------ Captured log call -------------------------------
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:730 Completed GCS
upload to
gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0501033208-494092-nthvafm2.1651375928.494365/pipeline.pb
in 0 seconds.
[33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:335
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:335
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:893 Create job:
<Job
clientRequestId: '20220501033208495966-2535'
createTime: '2022-05-01T03:32:23.647717Z'
currentStateTime: '1970-01-01T00:00:00Z'
id:
'2022-04-30_20_32_23-2481920159514775366'
location: 'us-central1'
name: 'beamapp-jenkins-0501033208-494092-nthvafm2'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-05-01T03:32:23.647717Z'
steps: []
tempFiles: []
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[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:895 Created job
with id: [2022-04-30_20_32_23-2481920159514775366]
[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:896 Submitted job:
2022-04-30_20_32_23-2481920159514775366
[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:897 To access the
Dataflow monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-04-30_20_32_23-2481920159514775366?project=apache-beam-testing
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:197 Job
2022-04-30_20_32_23-2481920159514775366 is in state JOB_STATE_RUNNING
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:23.268Z: 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:242
2022-05-01T03:32:23.268Z: 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:242
2022-05-01T03:32:24.244Z: 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:242
2022-05-01T03:32:25.407Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2022-04-30_20_32_23-2481920159514775366. The number of workers will be between
1 and 100.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:25.433Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically
enabled for job 2022-04-30_20_32_23-2481920159514775366.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:32.980Z: JOB_MESSAGE_BASIC: Worker configuration:
e2-standard-2 in us-central1-f.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:34.937Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo
operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:34.982Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton
operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.046Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey
operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.069Z: JOB_MESSAGE_DETAILED: Expanding
SplittableProcessKeyed operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.104Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations
into streaming Read/Write steps
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.126Z: JOB_MESSAGE_DETAILED: Lifting
ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.149Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner
information.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.188Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read,
Write, and Flatten operations
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.213Z: JOB_MESSAGE_DETAILED: Fusing consumer
generate_metrics into ReadFromPubSub/Read
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.248Z: JOB_MESSAGE_DETAILED: Fusing consumer
dump_to_pub/ToProtobuf into generate_metrics
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.271Z: 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:242
2022-05-01T03:32:35.306Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.334Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect
persistent state.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.392Z: JOB_MESSAGE_DEBUG: Workflow config is missing a
default resource spec.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.422Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and
teardown to workflow graph.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.459Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop
steps.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.485Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.538Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.586Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:35.613Z: JOB_MESSAGE_BASIC: Starting 1 workers in
us-central1-f...
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:32:57.585Z: 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.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-01T03:33:06.426Z: 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:242
2022-05-01T03:33:34.486Z: JOB_MESSAGE_DETAILED: Workers have started
successfully.
[33mWARNING [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:253 Timing out
on waiting for job 2022-04-30_20_32_23-2481920159514775366 after 60 seconds
[33m=============================== warnings summary
===============================[0m
<unknown>:54
<unknown>:54: DeprecationWarning: invalid escape sequence \c
<unknown>:62
<unknown>:62: DeprecationWarning: invalid escape sequence \d
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py>:42
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967050/lib/python3.9/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-py39-noxdist.xml>
-
[31m[1m====== 1 failed, 1 skipped, 5377 deselected, 3 warnings in 403.45
seconds ======[0m
> Task :sdks:python:test-suites:dataflow:py39:validatesRunnerStreamingTests
> FAILED
> 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, 1 skipped, 5377 deselected in 468.04 seconds
============[0m
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: 287
* What went wrong:
Execution failed for task
':sdks:python:test-suites:dataflow:py39: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 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings
and determine if they come from your own scripts or plugins.
See
https://docs.gradle.org/7.4/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 19m 4s
100 actionable tasks: 65 executed, 33 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/5alcpshlknmc2
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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