See
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/2870/display/redirect?page=changes>
Changes:
[github] [BEAM-10250]: Update io_matrix with new SplunkIO (#11998)
[github] Remove a hack used to retrieve schematized data from HL7v2 messages, …
------------------------------------------
[...truncated 1.51 MB...]
| beam.Map(json.loads))
apache_beam/io/fileio_test.py:78
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FutureWarning: MatchFiles is experimental.
| beam.Map(lambda x: x.path))
apache_beam/io/parquetio_test.py:364
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FutureWarning: The parameter chunksize is deprecated for
pyarrow.Table.to_batches as of 0.15, please use the parameter max_chunksize
instead
count=12000).to_batches(chunksize=1000)
apache_beam/io/fileio_test.py:272
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py35/build/srcs/sdks/python/apache_beam/io/fileio_test.py>:272:
FutureWarning: ReadMatches is experimental.
| beam.Map(lambda x: x.read_utf8()))
apache_beam/io/parquetio_test.py:374
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py35/build/srcs/sdks/python/apache_beam/io/parquetio_test.py>:374:
FutureWarning: The parameter chunksize is deprecated for
pyarrow.Table.to_batches as of 0.15, please use the parameter max_chunksize
instead
count=12000).to_batches(chunksize=1000)
apache_beam/io/fileio_test.py:452
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py35/build/srcs/sdks/python/apache_beam/io/fileio_test.py>:452:
FutureWarning: WriteToFiles is experimental.
write_transform = beam.io.fileio.WriteToFiles(path=dir)
/usr/lib/python3.5/unittest/case.py:1116
/usr/lib/python3.5/unittest/case.py:1116
/usr/lib/python3.5/unittest/case.py:1116
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/usr/lib/python3.5/unittest/case.py:1116
/usr/lib/python3.5/unittest/case.py:1116: DeprecationWarning:
assertDictContainsSubset is deprecated
DeprecationWarning)
apache_beam/runners/interactive/interactive_beam.py:388
apache_beam/runners/interactive/interactive_beam.py:388
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py35/build/srcs/sdks/python/apache_beam/runners/interactive/interactive_beam.py>:388:
BeamDeprecationWarning: options is deprecated since First stable release.
References to <pipeline>.options will not be supported
runner, user_pipeline, user_pipeline.options)
apache_beam/runners/interactive/interactive_beam.py:411
apache_beam/runners/interactive/interactive_beam.py:411
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py35/build/srcs/sdks/python/apache_beam/runners/interactive/interactive_beam.py>:411:
BeamDeprecationWarning: options is deprecated since First stable release.
References to <pipeline>.options will not be supported
result = pf.PipelineFragment(list(pcolls), user_pipeline.options).run()
target/.tox-py35-cython/py35-cython/lib/python3.5/site-packages/hamcrest/library/collection/issequence_containinginorder.py:95
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DeprecationWarning: deprecated - use contains_exactly(*items)
warnings.warn("deprecated - use contains_exactly(*items)",
DeprecationWarning)
apache_beam/transforms/util_test.py:655
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py35/build/srcs/sdks/python/apache_beam/transforms/util_test.py>:655:
FutureWarning: GroupIntoBatches is experimental.
| util.GroupIntoBatches(GroupIntoBatchesTest.BATCH_SIZE)
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file:
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py35/build/srcs/sdks/python/pytest_py35-cython.xml>
-
=========== 2615 passed, 631 skipped, 181 warnings in 563.91 seconds ===========
============================= test session starts ==============================
platform linux -- Python 3.5.2, pytest-4.6.11, py-1.8.1, pluggy-0.13.1
cachedir: target/.tox-py35-cython/py35-cython/.pytest_cache
rootdir:
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py35/build/srcs/sdks/python,>
inifile: pytest.ini
plugins: requests-mock-1.8.0, xdist-1.32.0, forked-1.1.3, timeout-1.3.4
timeout: 600.0s
timeout method: signal
timeout func_only: False
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-06-12_18_41_55-9037726538716195405 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:41:55.498Z:
JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine.
Workers will scale between 1 and 100 unless maxNumWorkers is specified.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:41:55.498Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-06-12_18_41_55-9037726538716195405.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:41:55.498Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-06-12_18_41_55-9037726538716195405. The number of workers will be between
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.610Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:17.328Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:17.357Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:17.413Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:17.664Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:17.694Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:17.725Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:17.774Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:17.837Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:17.899Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:17.919Z:
JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:17.956Z:
JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:17.985Z:
JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:18.007Z:
JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into
pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:18.029Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into
WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:18.055Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:18.082Z:
JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:18.110Z:
JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:18.143Z:
JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:18.174Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into
encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:18.205Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:18.236Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:18.260Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:18.284Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:20.521Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:20.561Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:20.603Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
> Task :sdks:python:test-suites:tox:py35:testPy35Cython
collected 3303 items / 3245 deselected / 4 skipped / 54 selected
apache_beam/coders/fast_coders_test.py ............................ [ 48%]
apache_beam/coders/slow_coders_test.py ............................ [ 96%]
apache_beam/io/gcp/tests/bigquery_matcher_test.py s [ 98%]
apache_beam/runners/portability/stager_test.py . [100%]
=============================== warnings summary ===============================
apache_beam/io/vcfio.py:50
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py35/build/srcs/sdks/python/apache_beam/io/vcfio.py>:50:
UserWarning: VCF IO will support Python 3 after migration to Nucleus, see:
BEAM-5628.
"VCF IO will support Python 3 after migration to Nucleus, "
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file:
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py35/build/srcs/sdks/python/pytest_py35-cython_no_xdist.xml>
-
====== 57 passed, 5 skipped, 3245 deselected, 1 warnings in 9.29 seconds =======
py35-cython run-test-post: commands[0] |
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py35/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
___________________________________ summary ____________________________________
py35-cython: commands succeeded
congratulations :)
> Task :sdks:python:test-suites:tox:py35:preCommitPy35
> Task :sdks:python:test-suites:dataflow:py2:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:04.287Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-06-12_18_42_04-9777736495887547339. The number of workers will be between
1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:04.287Z:
JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine.
Workers will scale between 1 and 100 unless maxNumWorkers is specified.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:04.288Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-06-12_18_42_04-9777736495887547339.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:15.335Z:
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.105Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.141Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.201Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.231Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.271Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.303Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.347Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.412Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.471Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.507Z:
JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.544Z:
JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.578Z:
JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.608Z:
JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into
pair_with_one
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.632Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into
WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.713Z:
JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.736Z:
JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.758Z:
JOB_MESSAGE_DETAILED: Fusing consumer format into count
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.782Z:
JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.804Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into
encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.838Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.861Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.891Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:16.921Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:19.212Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:19.242Z:
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:19.271Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:49.315Z:
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.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:49.793Z:
JOB_MESSAGE_WARNING: Your project already contains 100 Dataflow-created metric
descriptors and Stackdriver will not create new Dataflow custom metrics for
this job. Each unique user-defined metric name (independent of the DoFn in
which it is defined) produces a new metric descriptor. To 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:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:39.435Z:
JOB_MESSAGE_WARNING: Your project already contains 100 Dataflow-created metric
descriptors and Stackdriver will not create new Dataflow custom metrics for
this job. Each unique user-defined metric name (independent of the DoFn in
which it is defined) produces a new metric descriptor. To 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
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:42:46.669Z:
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.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:43:23.642Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:43:23.669Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
> Task :sdks:python:test-suites:dataflow:py2:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:43:25.148Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-06-13T01:43:25.188Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for
job 2020-06-12_18_42_04-9777736495887547339 after 364 seconds
DEBUG:google.auth.transport._http_client:Making request: GET
http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET
http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1):
metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET
/computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1"
200 144
DEBUG:google.auth.transport.requests:Making request: GET
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/[email protected]/token
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET
/computeMetadata/v1/instance/service-accounts/[email protected]/token
HTTP/1.1" 200 192
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for
job 2020-06-12_18_41_55-9037726538716195405 after 364 seconds
DEBUG:google.auth.transport._http_client:Making request: GET
http://169.254.169.254
DEBUG:google.auth.transport._http_client:Making request: GET
http://metadata.google.internal/computeMetadata/v1/project/project-id
DEBUG:google.auth.transport.requests:Making request: GET
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
DEBUG:urllib3.connectionpool:Starting new HTTP connection (1):
metadata.google.internal:80
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET
/computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1"
200 144
DEBUG:google.auth.transport.requests:Making request: GET
http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/[email protected]/token
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET
/computeMetadata/v1/instance/service-accounts/[email protected]/token
HTTP/1.1" 200 192
> Task :sdks:python:test-suites:dataflow:py2:preCommitIT_streaming_V2
test_streaming_wordcount_it
(apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok
----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py27.xml
----------------------------------------------------------------------
XML:
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 561.391s
OK
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-06-12_18_42_04-9777736495887547339?project=apache-beam-testing
> Task :sdks:python:test-suites:dataflow:py2:preCommitIT_V2
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
Worker logs:
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-06-12_18_41_55-9037726538716195405?project=apache-beam-testing
test_streaming_wordcount_it
(apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok
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XML: nosetests-preCommitIT-df-py37.xml
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XML:
<https://builds.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
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Ran 1 test in 592.401s
OK
> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_V2
FAILURE: Build failed with an exception.
* What went wrong:
Execution failed for task ':sdks:python:test-suites:tox:py2:testPy2Cloud'.
> 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 6.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See
https://docs.gradle.org/5.2.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 39m 1s
89 actionable tasks: 71 executed, 18 from cache
Publishing build scan...
https://gradle.com/s/dzpkgselh7pyw
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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