See
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/139/display/redirect?page=changes>
Changes:
[noreply] [BEAM-14072] [BEAM-13993] [BEAM-10039] Import beam plugins before
------------------------------------------
[...truncated 40.64 KB...]
[1m # and start pipeline job by calling pipeline main function.[0m
[1m> leader_board.run([0m
[1m self.test_pipeline.get_full_options_as_args(**extra_opts),[0m
[1m save_main_session=False)[0m
[1m[31mapache_beam/examples/complete/game/leader_board_it_test.py[0m:160:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
[1m[31mapache_beam/examples/complete/game/leader_board.py[0m:359: in run
[1m ( # pylint: disable=expression-not-assigned[0m
[1m[31mapache_beam/pipeline.py[0m:596: in __exit__
[1m self.result = self.run()[0m
[1m[31mapache_beam/pipeline.py[0m:546: in run
[1m return Pipeline.from_runner_api([0m
[1m[31mapache_beam/pipeline.py[0m:573: in run
[1m return self.runner.run_pipeline(self, self._options)[0m
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <apache_beam.runners.dataflow.test_dataflow_runner.TestDataflowRunner
object at 0x7f4f98e7f850>
pipeline = <apache_beam.pipeline.Pipeline object at 0x7f4f97e1dd00>
options = <apache_beam.options.pipeline_options.PipelineOptions object at
0x7f4f97e155b0>
[1m def run_pipeline(self, pipeline, options):[0m
[1m """Execute test pipeline and verify test matcher"""[0m
[1m test_options = options.view_as(TestOptions)[0m
[1m on_success_matcher = test_options.on_success_matcher[0m
[1m wait_duration = test_options.wait_until_finish_duration[0m
[1m is_streaming = options.view_as(StandardOptions).streaming[0m
[1m [0m
[1m # [BEAM-1889] Do not send this to remote workers also, there is no
need to[0m
[1m # send this option to remote executors.[0m
[1m test_options.on_success_matcher = None[0m
[1m [0m
[1m self.result = super().run_pipeline(pipeline, options)[0m
[1m if self.result.has_job:[0m
[1m # TODO(markflyhigh)(BEAM-1890): Use print since Nose dosen't show
logs[0m
[1m # in some cases.[0m
[1m print('Worker logs: %s' % self.build_console_url(options))[0m
[1m [0m
[1m try:[0m
[1m self.wait_until_in_state(PipelineState.RUNNING)[0m
[1m [0m
[1m if is_streaming and not wait_duration:[0m
[1m _LOGGER.warning('Waiting indefinitely for streaming job.')[0m
[1m self.result.wait_until_finish(duration=wait_duration)[0m
[1m [0m
[1m if on_success_matcher:[0m
[1m from hamcrest import assert_that as hc_assert_that[0m
[1m> hc_assert_that(self.result, pickler.loads(on_success_matcher))[0m
[1m[31mE AssertionError: [0m
[1m[31mE Expected: (Test pipeline expected terminated in state:
RUNNING and Expected checksum is de00231fe6730b972c0ff60a99988438911cda53 and
Expected checksum is de00231fe6730b972c0ff60a99988438911cda53)[0m
[1m[31mE but: Test pipeline expected terminated in state:
RUNNING Test pipeline job terminated in state: FAILED[0m
[1m[31mapache_beam/runners/dataflow/test_dataflow_runner.py[0m:68:
AssertionError
------------------------------ Captured log call -------------------------------
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:711 Starting GCS
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:711 Starting GCS
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:727 Completed GCS
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:727 Completed GCS
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[33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:335
Discarding unparseable args: ['--sleep_secs=20',
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[33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:335
Discarding unparseable args: ['--sleep_secs=20',
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[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:891 Create job:
<Job
clientRequestId: '20220313000444500049-7468'
createTime: '2022-03-13T00:04:50.855860Z'
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[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:893 Created job
with id: [2022-03-12_16_04_50-8449974161338423167]
[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:894 Submitted job:
2022-03-12_16_04_50-8449974161338423167
[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:895 To access the
Dataflow monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-03-12_16_04_50-8449974161338423167?project=apache-beam-testing
[33m=============================== warnings summary
===============================[0m
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DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use
"async def" instead
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apache_beam/io/filesystems_test.py:54
apache_beam/io/filesystems_test.py:54
apache_beam/io/filesystems_test.py:54
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apache_beam/io/filesystems_test.py:62
apache_beam/io/filesystems_test.py:62
apache_beam/io/filesystems_test.py:62
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DeprecationWarning: invalid escape sequence \d
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pylint: disable=anomalous-backslash-in-string
apache_beam/dataframe/io.py:629
apache_beam/dataframe/io.py:629
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apache_beam/io/fileio.py:550
apache_beam/io/fileio.py:550
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References to <pipeline>.options will not be supported
p.options.view_as(GoogleCloudOptions).temp_location or
apache_beam/io/gcp/tests/utils.py:63
apache_beam/io/gcp/tests/utils.py:63
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/apache_beam/io/gcp/tests/utils.py>:63:
PendingDeprecationWarning: Client.dataset is deprecated and will be removed in
a future version. Use a string like 'my_project.my_dataset' or a
cloud.google.bigquery.DatasetReference object, instead.
dataset_ref = client.dataset(unique_dataset_name, project=project)
apache_beam/io/gcp/bigquery.py:2141
apache_beam/io/gcp/bigquery.py:2141
apache_beam/io/gcp/bigquery.py:2141
apache_beam/io/gcp/bigquery.py:2141
apache_beam/io/gcp/bigquery.py:2141
apache_beam/io/gcp/bigquery.py:2141
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2141:
BeamDeprecationWarning: options is deprecated since First stable release.
References to <pipeline>.options will not be supported
is_streaming_pipeline = p.options.view_as(StandardOptions).streaming
apache_beam/io/gcp/bigquery.py:2147
apache_beam/io/gcp/bigquery.py:2147
apache_beam/io/gcp/bigquery.py:2147
apache_beam/io/gcp/bigquery.py:2147
apache_beam/io/gcp/bigquery.py:2147
apache_beam/io/gcp/bigquery.py:2147
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2147:
BeamDeprecationWarning: options is deprecated since First stable release.
References to <pipeline>.options will not be supported
experiments = p.options.view_as(DebugOptions).experiments or []
apache_beam/io/gcp/bigquery.py:2441
apache_beam/io/gcp/bigquery.py:2441
apache_beam/io/gcp/bigquery.py:2441
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2441:
BeamDeprecationWarning: options is deprecated since First stable release.
References to <pipeline>.options will not be supported
temp_location = pcoll.pipeline.options.view_as(
apache_beam/io/gcp/bigquery.py:2443
apache_beam/io/gcp/bigquery.py:2443
apache_beam/io/gcp/bigquery.py:2443
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2443:
BeamDeprecationWarning: options is deprecated since First stable release.
References to <pipeline>.options will not be supported
job_name = pcoll.pipeline.options.view_as(GoogleCloudOptions).job_name
apache_beam/io/gcp/bigquery.py:2467
apache_beam/io/gcp/bigquery.py:2467
apache_beam/io/gcp/bigquery.py:2467
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2467:
BeamDeprecationWarning: options is deprecated since First stable release.
References to <pipeline>.options will not be supported
pipeline_options=pcoll.pipeline.options,
apache_beam/io/gcp/bigquery.py:2137
apache_beam/io/gcp/bigquery.py:2137
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2137:
BeamDeprecationWarning: options is deprecated since First stable release.
References to <pipeline>.options will not be supported
self.table_reference.projectId = pcoll.pipeline.options.view_as(
apache_beam/io/gcp/bigquery_file_loads.py:1128
apache_beam/io/gcp/bigquery_file_loads.py:1128
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/apache_beam/io/gcp/bigquery_file_loads.py>:1128:
BeamDeprecationWarning: options is deprecated since First stable release.
References to <pipeline>.options will not be supported
temp_location = p.options.view_as(GoogleCloudOptions).temp_location
apache_beam/io/gcp/bigquery_file_loads.py:1130
apache_beam/io/gcp/bigquery_file_loads.py:1130
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/apache_beam/io/gcp/bigquery_file_loads.py>:1130:
BeamDeprecationWarning: options is deprecated since First stable release.
References to <pipeline>.options will not be supported
p.options.view_as(GoogleCloudOptions).job_name or 'AUTOMATIC_JOB_NAME')
apache_beam/io/gcp/tests/utils.py:100
apache_beam/io/gcp/tests/utils.py:100
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/apache_beam/io/gcp/tests/utils.py>:100:
PendingDeprecationWarning: Client.dataset is deprecated and will be removed in
a future version. Use a string like 'my_project.my_dataset' or a
cloud.google.bigquery.DatasetReference object, instead.
table_ref = client.dataset(dataset_id).table(table_id)
apache_beam/examples/dataframe/flight_delays.py:47
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/apache_beam/examples/dataframe/flight_delays.py>:47:
FutureWarning: Dropping of nuisance columns in DataFrame reductions (with
'numeric_only=None') is deprecated; in a future version this will raise
TypeError. Select only valid columns before calling the reduction.
return airline_df[at_top_airports].mean()
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file:
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/pytest_postCommitIT-df-py38-xdist.xml>
-
[31m[1m======== 1 failed, 16 passed, 1 skipped, 50 warnings in 983.20 seconds
=========[0m
> Task :sdks:python:test-suites:dataflow:py38:examples FAILED
FAILURE: Build failed with an exception.
* Where:
Script
'<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
line: 166
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py38:examples'.
> 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
BUILD FAILED in 19m 13s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/lkml2jtf6ml5c
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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