See
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/4379/display/redirect?page=changes>
Changes:
[samuelw] Add thread prefix for StreamingDataflowWorker work executor
[noreply] Sync script for grafana dashboard - github actions postcommit
[noreply] Integration test to load the default example of the default SDK and
[noreply] issue23923 emulated data indicator (#24708)
[noreply] Bump github.com/aws/aws-sdk-go-v2/service/s3 in /sdks (#24917)
[noreply] issue23918 extract java symbols (#24588)
[noreply] Attempt deserialize all non-standard portable logical types from proto
[noreply] TFT Criteo benchmarks (#24382)
------------------------------------------
[...truncated 144.96 KB...]
distro.update(element)
yield element
pipeline = TestPipeline()
nums = pipeline | 'Input' >> beam.Create([1, 2, 3, 4])
results = nums | 'ApplyPardo' >> beam.ParDo(SomeDoFn())
assert_that(results, equal_to([1, 2, 3, 4]))
res = pipeline.run()
res.wait_until_finish()
# Verify static counter.
metric_results = (
res.metrics().query(
MetricsFilter().with_metric(SomeDoFn.static_counter_elements)))
outputs_static_counter = metric_results['counters'][0]
self.assertEqual(
outputs_static_counter.key.metric.name,
'metrics_static_counter_element')
> self.assertEqual(outputs_static_counter.committed, 8)
[1m[31mE AssertionError: 10 != 8[0m
[1m[31mapache_beam/metrics/metric_test.py[0m:200: AssertionError
------------------------------ Captured log call -------------------------------
[32mINFO [0m apache_beam.runners.portability.stager:stager.py:772
Executing command:
['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/bin/python3.7',>
'-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r',
'/tmp/tmpctnt_bbg/tmp_requirements.txt', '--exists-action', 'i', '--no-deps',
'--implementation', 'cp', '--abi', 'cp37m', '--platform',
'manylinux2014_x86_64']
[32mINFO [0m apache_beam.runners.portability.stager:stager.py:330 Copying
Beam SDK
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/build/apache-beam.tar.gz";>
to staging location.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:444 Pipeline
has additional dependencies to be installed in SDK worker container, consider
using the SDK container image pre-building workflow to avoid repetitive
installations. Learn more on
https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
[32mINFO [0m root:environments.py:376 Default Python SDK image for
environment is apache/beam_python3.7_sdk:2.45.0.dev
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image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221205
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:06.531Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton
operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:06.587Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey
operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:06.621Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
assert_that/Group/CoGroupByKeyImpl/GroupByKey: GroupByKey not followed by a
combiner.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:06.654Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not
followed by a combiner.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:06.679Z: JOB_MESSAGE_DETAILED: Expanding
SplittableProcessKeyed operations into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:06.707Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations
into streaming Read/Write steps
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:06.786Z: JOB_MESSAGE_DETAILED: Lifting
ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:06.863Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner
information.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:06.902Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read,
Write, and Flatten operations
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:06.936Z: JOB_MESSAGE_DEBUG: Inserted coder converter before
flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_27
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:06.969Z: JOB_MESSAGE_DEBUG: Inserted coder converter before
flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_27
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:06.997Z: JOB_MESSAGE_DETAILED: Unzipping flatten
ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_27 for input
ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Tag-0-_25.None-post12
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.032Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of
assert_that/Group/CoGroupByKeyImpl/GroupByKey/WriteStream, through flatten
assert_that/Group/CoGroupByKeyImpl/Flatten, into producer
assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.057Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Group/CoGroupByKeyImpl/GroupByKey/WriteStream into
assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.084Z: JOB_MESSAGE_DETAILED: Fusing consumer
Input/FlatMap(<lambda at core.py:3507>) into Input/Impulse
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.118Z: JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/AddRandomKeys into Input/FlatMap(<lambda at
core.py:3507>)
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.148Z: JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into
Input/MaybeReshuffle/Reshuffle/AddRandomKeys
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.170Z: JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.200Z: JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.236Z: JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.267Z: JOB_MESSAGE_DETAILED: Fusing consumer
Input/MaybeReshuffle/Reshuffle/RemoveRandomKeys into
Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.290Z: JOB_MESSAGE_DETAILED: Fusing consumer
Input/Map(decode) into Input/MaybeReshuffle/Reshuffle/RemoveRandomKeys
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.322Z: JOB_MESSAGE_DETAILED: Fusing consumer ApplyPardo into
Input/Map(decode)
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.345Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/WindowInto(WindowIntoFn) into ApplyPardo
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.378Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Create/FlatMap(<lambda at core.py:3507>) into
assert_that/Create/Impulse
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.411Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Create/Map(decode) into assert_that/Create/FlatMap(<lambda at
core.py:3507>)
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.447Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Group/CoGroupByKeyImpl/Tag[0] into assert_that/Create/Map(decode)
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.478Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity into
assert_that/Group/CoGroupByKeyImpl/Tag[0]
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.503Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/ToVoidKey into assert_that/WindowInto(WindowIntoFn)
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.524Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Group/CoGroupByKeyImpl/Tag[1] into assert_that/ToVoidKey
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.552Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity into
assert_that/Group/CoGroupByKeyImpl/Tag[1]
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.576Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Group/CoGroupByKeyImpl/GroupByKey/MergeBuckets into
assert_that/Group/CoGroupByKeyImpl/GroupByKey/ReadStream
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.605Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values) into
assert_that/Group/CoGroupByKeyImpl/GroupByKey/MergeBuckets
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.629Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Group/RestoreTags into
assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values)
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.657Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Unkey into assert_that/Group/RestoreTags
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.694Z: JOB_MESSAGE_DETAILED: Fusing consumer
assert_that/Match into assert_that/Unkey
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.727Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.758Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect
persistent state.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.858Z: JOB_MESSAGE_DEBUG: Workflow config is missing a
default resource spec.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.893Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and
teardown to workflow graph.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.957Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop
steps.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:07.992Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:09.050Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:09.086Z: JOB_MESSAGE_BASIC: Starting 1 workers in
us-central1-b...
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:09.116Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:13:39.268Z: 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:238
2023-01-06T22:14:05.709Z: 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:238
2023-01-06T22:14:41.538Z: JOB_MESSAGE_DETAILED: Workers have started
successfully.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:14:52.848Z: JOB_MESSAGE_DETAILED: All workers have finished the
startup processes and began to receive work requests.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:25:33.292Z: JOB_MESSAGE_DETAILED: Cleaning up.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:25:33.392Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:25:33.420Z: JOB_MESSAGE_BASIC: Stopping worker pool...
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:25:33.457Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:25:33.484Z: JOB_MESSAGE_BASIC: Stopping worker pool...
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:27:43.988Z: JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number
of workers to 0 based on low average worker CPU utilization, and the pipeline
having sufficiently low backlog and keeping up with input rate.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:27:44.031Z: JOB_MESSAGE_BASIC: Worker pool stopped.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T22:27:44.059Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:193 Job
2023-01-06_14_12_54-9431207517460671135 is in state JOB_STATE_DONE
[33m=============================== warnings summary
===============================[0m
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py>:15:
DeprecationWarning: the imp module is deprecated in favour of importlib; see
the module's documentation for alternative uses
from imp import load_source
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file:
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py37-xdist.xml>
-
[36m[1m=========================== short test summary info
============================[0m
[31mFAILED[0m
apache_beam/metrics/metric_test.py::[1mMetricsTest::test_user_counter_using_pardo[0m
- AssertionError: 10 != 8
[31m======= [31m[1m1 failed[0m, [32m31 passed[0m, [33m7 skipped[0m,
[33m9 warnings[0m[31m in 3956.02s (1:05:56)[0m[31m =======[0m
> Task :sdks:python:test-suites:dataflow:py310:validatesRunnerStreamingTests
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238
2023-01-06T23:16:59.543Z: 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:249 Timing out
on waiting for job 2023-01-06_15_15_50-874193578698931871 after 60 seconds
[32mPASSED[0m
[33m=============================== warnings summary
===============================[0m
../../build/gradleenv/2050596098/lib/python3.10/site-packages/hdfs/config.py:15
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/hdfs/config.py>:15:
DeprecationWarning: the imp module is deprecated in favour of importlib and
slated for removal in Python 3.12; see the module's documentation for
alternative uses
from imp import load_source
../../build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/operations_v1/abstract_operations_client.py:17
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/operations_v1/abstract_operations_client.py>:17:
DeprecationWarning: The distutils package is deprecated and slated for removal
in Python 3.12. Use setuptools or check PEP 632 for potential alternatives
from distutils import util
../../build/gradleenv/2050596098/lib/python3.10/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/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):
apache_beam/typehints/pandas_type_compatibility_test.py:67
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:67:
FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas
in a future version. Use pandas.Index with the appropriate dtype instead.
}).set_index(pd.Int64Index(range(123, 223), name='an_index')),
apache_beam/typehints/pandas_type_compatibility_test.py:90
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:90:
FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas
in a future version. Use pandas.Index with the appropriate dtype instead.
pd.Int64Index(range(123, 223), name='an_index'),
apache_beam/typehints/pandas_type_compatibility_test.py:91
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:91:
FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas
in a future version. Use pandas.Index with the appropriate dtype instead.
pd.Int64Index(range(475, 575), name='another_index'),
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
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DeprecationWarning: ssl.PROTOCOL_TLS is deprecated
context = ssl.SSLContext(DEFAULT_TLS_VERSION)
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file:
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py310-noxdist.xml>
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[33m==== [32m1 passed[0m, [33m[1m6 skipped[0m, [33m[1m6796
deselected[0m, [33m[1m8 warnings[0m[33m in 903.88s (0:15:03)[0m[33m
=====[0m
FAILURE: Build failed with an exception.
* Where:
Script
'<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
line: 241
* 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.
* 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/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 2h 20m 4s
20 actionable tasks: 14 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/5uljpkq66iog6
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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