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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2024/01/23 23:32:03 UTC
Build failed in Jenkins: beam_PostCommit_Python_Xlang_IO_Dataflow #613
See <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/613/display/redirect>
Changes:
------------------------------------------
[...truncated 458.61 KB...]
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:860 Created job with id: [2024-01-23_12_55_57-11400971046939635074]
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:861 Submitted job: 2024-01-23_12_55_57-11400971046939635074
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:862 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2024-01-23_12_55_57-11400971046939635074?project=apache-beam-testing
[32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:58 Console log:
[32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:59 https://console.cloud.google.com/dataflow/jobs/us-central1/2024-01-23_12_55_57-11400971046939635074?project=apache-beam-testing
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:151 Job 2024-01-23_12_55_57-11400971046939635074 is in state JOB_STATE_RUNNING
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T20:56:00.898Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T20:56:03.473Z: JOB_MESSAGE_BASIC: Executing operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T20:56:03.532Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T20:56:03.904Z: JOB_MESSAGE_BASIC: Finished operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T20:56:12.672Z: JOB_MESSAGE_BASIC: Executing operation Generate/Impulse+Generate/FlatMap(<lambda at core.py:3774>)+Generate/MaybeReshuffle/Reshuffle/AddRandomKeys+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T20:56:22.388Z: 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:201 2024-01-23T22:10:52.237Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2024-01-23_12_55_57-11400971046939635074.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:10:52.258Z: JOB_MESSAGE_BASIC: Finished operation Generate/Impulse+Generate/FlatMap(<lambda at core.py:3774>)+Generate/MaybeReshuffle/Reshuffle/AddRandomKeys+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:10:52.492Z: JOB_MESSAGE_BASIC: Stopping worker pool...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:151 Job 2024-01-23_12_55_57-11400971046939635074 is in state JOB_STATE_CANCELLING
[31m[1m__________ CrossLanguageKafkaIOTest.test_hosted_kafkaio_populated_key __________[0m
self = <apache_beam.io.external.xlang_kafkaio_it_test.CrossLanguageKafkaIOTest testMethod=test_hosted_kafkaio_populated_key>
@pytest.mark.uses_io_java_expansion_service
@unittest.skipUnless(
os.environ.get('EXPANSION_PORT'),
"EXPANSION_PORT environment var is not provided.")
@unittest.skipUnless(
os.environ.get('KAFKA_BOOTSTRAP_SERVER'),
"KAFKA_BOOTSTRAP_SERVER environment var is not provided.")
def test_hosted_kafkaio_populated_key(self):
kafka_topic = 'xlang_kafkaio_test_populated_key_{}'.format(uuid.uuid4())
bootstrap_servers = os.environ.get('KAFKA_BOOTSTRAP_SERVER')
pipeline_creator = CrossLanguageKafkaIO(
bootstrap_servers,
kafka_topic,
False,
'localhost:%s' % os.environ.get('EXPANSION_PORT'))
> self.run_kafka_write(pipeline_creator)
[1m[31mapache_beam/io/external/xlang_kafkaio_it_test.py[0m:162:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
[1m[31mapache_beam/io/external/xlang_kafkaio_it_test.py[0m:187: in run_kafka_write
pipeline_creator.build_write_pipeline(pipeline)
[1m[31mapache_beam/pipeline.py[0m:612: in __exit__
self.result = self.run()
[1m[31mapache_beam/testing/test_pipeline.py[0m:112: in run
result = super().run(
[1m[31mapache_beam/pipeline.py[0m:586: in run
return self.runner.run_pipeline(self, self._options)
[1m[31mapache_beam/runners/dataflow/test_dataflow_runner.py[0m:66: in run_pipeline
self.result.wait_until_finish(duration=wait_duration)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <DataflowPipelineResult <Job
clientRequestId: '20240123221335907403-6044'
createTime: '2024-01-23T22:13:37.983101Z'
...024-01-23T22:13:37.983101Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)> at 0x7fa2d039b7c0>
duration = None
def wait_until_finish(self, duration=None):
if not self.is_in_terminal_state():
if not self.has_job:
raise IOError('Failed to get the Dataflow job id.')
consoleUrl = (
"Console URL: https://console.cloud.google.com/"
f"dataflow/jobs/<RegionId>/{self.job_id()}"
"?project=<ProjectId>")
thread = threading.Thread(
target=DataflowRunner.poll_for_job_completion,
args=(self._runner, self, duration))
# Mark the thread as a daemon thread so a keyboard interrupt on the main
# thread will terminate everything. This is also the reason we will not
# use thread.join() to wait for the polling thread.
thread.daemon = True
thread.start()
while thread.is_alive():
> time.sleep(5.0)
[1m[31mE Failed: Timeout >4500.0s[0m
[1m[31mapache_beam/runners/dataflow/dataflow_runner.py[0m:765: Failed
------------------------------ Captured log call -------------------------------
[32mINFO [0m apache_beam.runners.portability.stager:stager.py:322 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/build/apache_beam-2.54.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"> to staging location.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:395 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:314 Using provided Python SDK container image: gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest
[32mINFO [0m root:environments.py:321 Python SDK container image set to "gcr.io/apache-beam-testing/beam-sdk/beam_python3.8_sdk:latest" for Docker environment
[32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function pack_combiners at 0x7fa2a01ec9d0> ====================
[32mINFO [0m apache_beam.runners.portability.fn_api_runner.translations:translations.py:712 ==================== <function sort_stages at 0x7fa2a01f31f0> ====================
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:677 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0123221335-906352-fvm9ee07.1706048015.906517/beam-sdks-java-io-expansion-service-2.54.0-SNAPSHOT-YSoXcc4-uUKsiJNOxeWC8_0WbKOWyGs9WAep2ZkEmM8.jar...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:687 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0123221335-906352-fvm9ee07.1706048015.906517/beam-sdks-java-io-expansion-service-2.54.0-SNAPSHOT-YSoXcc4-uUKsiJNOxeWC8_0WbKOWyGs9WAep2ZkEmM8.jar in 1 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:677 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0123221335-906352-fvm9ee07.1706048015.906517/apache_beam-2.54.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:687 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0123221335-906352-fvm9ee07.1706048015.906517/apache_beam-2.54.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:677 Starting GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0123221335-906352-fvm9ee07.1706048015.906517/pipeline.pb...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:687 Completed GCS upload to gs://dataflow-staging-us-central1-77b801c0838aee13391c0d1885860494/beamapp-jenkins-0123221335-906352-fvm9ee07.1706048015.906517/pipeline.pb in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:858 Create job: <Job
clientRequestId: '20240123221335907403-6044'
createTime: '2024-01-23T22:13:37.983101Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2024-01-23_14_13_37-12592457088122517646'
location: 'us-central1'
name: 'beamapp-jenkins-0123221335-906352-fvm9ee07'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2024-01-23T22:13:37.983101Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:860 Created job with id: [2024-01-23_14_13_37-12592457088122517646]
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:861 Submitted job: 2024-01-23_14_13_37-12592457088122517646
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:862 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2024-01-23_14_13_37-12592457088122517646?project=apache-beam-testing
[32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:58 Console log:
[32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:59 https://console.cloud.google.com/dataflow/jobs/us-central1/2024-01-23_14_13_37-12592457088122517646?project=apache-beam-testing
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:151 Job 2024-01-23_14_13_37-12592457088122517646 is in state JOB_STATE_RUNNING
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:13:43.741Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:13:45.897Z: JOB_MESSAGE_BASIC: Executing operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:13:45.957Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:13:46.505Z: JOB_MESSAGE_BASIC: Finished operation Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:13:55.100Z: JOB_MESSAGE_BASIC: Executing operation Generate/Impulse+Generate/FlatMap(<lambda at core.py:3774>)+Generate/MaybeReshuffle/Reshuffle/AddRandomKeys+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T22:13:57.708Z: 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:201 2024-01-23T23:28:33.972Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2024-01-23_14_13_37-12592457088122517646.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T23:28:33.995Z: JOB_MESSAGE_BASIC: Finished operation Generate/Impulse+Generate/FlatMap(<lambda at core.py:3774>)+Generate/MaybeReshuffle/Reshuffle/AddRandomKeys+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Generate/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:201 2024-01-23T23:28:34.135Z: JOB_MESSAGE_BASIC: Stopping worker pool...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:151 Job 2024-01-23_14_13_37-12592457088122517646 is in state JOB_STATE_CANCELLING
[33m=============================== warnings summary ===============================[0m
apache_beam/io/gcp/bigquery.py:2603
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/apache_beam/io/gcp/bigquery.py>:2603: DeprecationWarning: invalid escape sequence \#
"""Read data from BigQuery.
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/pytest_ioCrossLanguage.xml> -
[36m[1m=========================== short test summary info ============================[0m
[31mFAILED[0m apache_beam/io/external/xlang_kafkaio_it_test.py::[1mCrossLanguageKafkaIOTest::test_hosted_kafkaio_null_key[0m - Failed: Timeout >4500.0s
[31mFAILED[0m apache_beam/io/external/xlang_kafkaio_it_test.py::[1mCrossLanguageKafkaIOTest::test_hosted_kafkaio_populated_key[0m - Failed: Timeout >4500.0s
[31m= [31m[1m2 failed[0m, [32m2 passed[0m, [33m17 skipped[0m, [33m7309 deselected[0m, [33m1 warning[0m[31m in 9376.83s (2:36:16)[0m[31m =[0m
+++++++++++++++++++++++++++++++++++ Timeout ++++++++++++++++++++++++++++++++++++
~~~~~~~~~~~~~~~~~~~~~ Stack of Thread-2 (140336877094656) ~~~~~~~~~~~~~~~~~~~~~~
File "/usr/lib/python3.8/threading.py", line 890, in _bootstrap
self._bootstrap_inner()
File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/usr/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 144, in poll_for_job_completion
response = runner.dataflow_client.get_job(job_id)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/apache_beam/utils/retry.py",> line 298, in wrapper
return fun(*args, **kwargs)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/apache_beam/runners/dataflow/internal/apiclient.py",> line 929, in get_job
response = self._client.projects_locations_jobs.Get(request)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/apache_beam/runners/dataflow/internal/clients/dataflow/dataflow_v1b3_client.py",> line 747, in Get
return self._RunMethod(config, request, global_params=global_params)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/apitools/base/py/base_api.py",> line 728, in _RunMethod
http_response = http_wrapper.MakeRequest(
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/apitools/base/py/http_wrapper.py",> line 348, in MakeRequest
return _MakeRequestNoRetry(
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/apitools/base/py/http_wrapper.py",> line 397, in _MakeRequestNoRetry
info, content = http.request(
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/google_auth_httplib2.py",> line 218, in request
response, content = self.http.request(
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/httplib2/__init__.py",> line 1724, in request
(response, content) = self._request(
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/httplib2/__init__.py",> line 1444, in _request
(response, content) = self._conn_request(conn, request_uri, method, body, headers)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/httplib2/__init__.py",> line 1396, in _conn_request
response = conn.getresponse()
File "/usr/lib/python3.8/http/client.py", line 1348, in getresponse
response.begin()
File "/usr/lib/python3.8/http/client.py", line 316, in begin
version, status, reason = self._read_status()
File "/usr/lib/python3.8/http/client.py", line 277, in _read_status
line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1")
File "/usr/lib/python3.8/socket.py", line 669, in readinto
return self._sock.recv_into(b)
File "/usr/lib/python3.8/ssl.py", line 1270, in recv_into
return self.read(nbytes, buffer)
File "/usr/lib/python3.8/ssl.py", line 1128, in read
return self._sslobj.read(len, buffer)
+++++++++++++++++++++++++++++++++++ Timeout ++++++++++++++++++++++++++++++++++++
+++++++++++++++++++++++++++++++++++ Timeout ++++++++++++++++++++++++++++++++++++
~~~~~~~~~~~~~~~~~~~~~ Stack of Thread-4 (140337011328768) ~~~~~~~~~~~~~~~~~~~~~~
File "/usr/lib/python3.8/threading.py", line 890, in _bootstrap
self._bootstrap_inner()
File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner
self.run()
File "/usr/lib/python3.8/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "<https://ci-beam.apache.org/job/beam_PostCommit_Python_Xlang_IO_Dataflow/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 172, in poll_for_job_completion
time.sleep(sleep_secs)
+++++++++++++++++++++++++++++++++++ Timeout ++++++++++++++++++++++++++++++++++++
> Task :sdks:python:test-suites:dataflow:py38:ioCrossLanguagePythonUsingJava FAILED
> Task :sdks:python:test-suites:dataflow:py38:ioCrossLanguageCleanup
Stopping expansion service pid: 992130.
Skipping invalid pid: 992131.
> Task :sdks:python:test-suites:xlang:fnApiJobServerCleanup
Killing process at 989313
FAILURE: Build completed with 2 failures.
1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py311:ioCrossLanguagePythonUsingJava'.
> 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.
==============================================================================
2: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py38:ioCrossLanguagePythonUsingJava'.
> 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 9.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
For more on this, please refer to https://docs.gradle.org/8.4/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.
BUILD FAILED in 2h 53m 17s
108 actionable tasks: 95 executed, 11 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/5xv4pptfyxjj4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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