See 
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/4201/display/redirect?page=changes>

Changes:

[randomstep] [BEAM-8644] Bump freemarker to 2.3.31

[Kyle Weaver] [BEAM-12332] [zetasql] Support NUMERIC type in Java UDF.


------------------------------------------
[...truncated 1.62 MB...]
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
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INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
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INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-05-13_17_32_50-10576017378389131518?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-05-13_17_32_50-10576017378389131518 is in state JOB_STATE_RUNNING
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:54.578Z: 
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 
2021-05-13_17_32_50-10576017378389131518. The number of workers will be between 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:54.622Z: 
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:57.343Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:58.202Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:58.259Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:58.362Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:58.407Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step group: GroupByKey not 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:58.499Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:58.600Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:58.702Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:58.753Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:58.800Z: 
JOB_MESSAGE_DETAILED: Fusing consumer decode into ReadFromPubSub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:58.853Z: 
JOB_MESSAGE_DETAILED: Fusing consumer split into decode
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:58.908Z: 
JOB_MESSAGE_DETAILED: Fusing consumer pair_with_one into split
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:58.952Z: 
JOB_MESSAGE_DETAILED: Fusing consumer WindowInto(WindowIntoFn) into 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:59.003Z: 
JOB_MESSAGE_DETAILED: Fusing consumer group/WriteStream into 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:59.063Z: 
JOB_MESSAGE_DETAILED: Fusing consumer group/MergeBuckets into group/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:59.177Z: 
JOB_MESSAGE_DETAILED: Fusing consumer count into group/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:59.223Z: 
JOB_MESSAGE_DETAILED: Fusing consumer format into count
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JOB_MESSAGE_DETAILED: Fusing consumer encode into format
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:59.311Z: 
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/ToProtobuf into encode
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:59.362Z: 
JOB_MESSAGE_DETAILED: Fusing consumer WriteToPubSub/Write/NativeWrite into 
WriteToPubSub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:59.416Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:59.465Z: 
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JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:59.573Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:32:59.647Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:33:00.015Z: 
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:33:00.281Z: 
JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:33:11.013Z: 
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

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:33:19.744Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:33:19.771Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.

> Task :sdks:python:test-suites:tox:py38:testPy38pyarrow-3
..........................             [100%]

=============================== warnings summary ===============================
target/.tox-py38-pyarrow-3/py38-pyarrow-3/lib/python3.8/site-packages/tenacity/_asyncio.py:42
  
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 DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use 
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    def call(self, fn, *args, **kwargs):

apache_beam/dataframe/io_test.py::IOTest::test_read_write_parquet
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/dataframe/io.py>:529:
 FutureWarning: WriteToFiles is experimental.
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apache_beam/dataframe/io_test.py::IOTest::test_read_write_parquet
apache_beam/dataframe/io_test.py::IOTest::test_read_write_parquet
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/io/fileio.py>:478:
 BeamDeprecationWarning: options is deprecated since First stable release. 
References to <pipeline>.options will not be supported
    p.options.view_as(GoogleCloudOptions).temp_location or

apache_beam/io/parquetio_test.py::TestParquet::test_int96_type_conversion
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/io/parquetio_test.py>:416:
 FutureWarning: The parameter chunksize is deprecated for 
pyarrow.Table.to_batches as of 0.15, please use the parameter max_chunksize 
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    for batch in orig.to_batches(chunksize=20)

apache_beam/io/parquetio_test.py::TestParquet::test_read_with_splitting_multiple_row_group
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/io/parquetio_test.py>:377:
 FutureWarning: The parameter chunksize is deprecated for 
pyarrow.Table.to_batches as of 0.15, please use the parameter max_chunksize 
instead
    pa.Table.from_batches([batch]) for batch in self._records_as_arrow(

apache_beam/io/parquetio_test.py::TestParquet::test_read_without_splitting_multiple_row_group
  
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/apache_beam/io/parquetio_test.py>:367:
 FutureWarning: The parameter chunksize is deprecated for 
pyarrow.Table.to_batches as of 0.15, please use the parameter max_chunksize 
instead
    pa.Table.from_batches([batch]) for batch in self._records_as_arrow(

-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: 
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/pytest_py38-pyarrow-3_no_xdist.xml>
 -
====== 28 passed, 3 skipped, 4324 deselected, 7 warnings in 40.46 seconds ======
py38-pyarrow-3 run-test-post: commands[0] | bash 
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/test-suites/tox/py38/build/srcs/sdks/python/scripts/run_tox_cleanup.sh>
___________________________________ summary 
____________________________________
  py38-pyarrow-3: commands succeeded
  congratulations :)

> Task :sdks:python:test-suites:tox:py38:preCommitPy38

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:33:42.894Z: 
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:2021-05-14T00:34:19.299Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-14T00:34:19.427Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2021-05-13_17_31_50-13956832126697657521 after 360 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of 
auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth 
process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using 
them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth 
process...
DEBUG:google.auth._default:No App Engine library was found so cannot 
authentication via App Engine Identity Credentials.
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?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET 
/computeMetadata/v1/instance/service-accounts/[email protected]/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
 HTTP/1.1" 200 244

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2021-05-13_17_32_50-10576017378389131518 after 364 seconds
DEBUG:google.auth._default:Checking None for explicit credentials as part of 
auth process...
DEBUG:google.auth._default:Checking Cloud SDK credentials as part of auth 
process...
DEBUG:google.auth._default:Cloud SDK credentials not found on disk; not using 
them
DEBUG:google.auth._default:Checking for App Engine runtime as part of auth 
process...
DEBUG:google.auth._default:No App Engine library was found so cannot 
authentication via App Engine Identity Credentials.
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?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
DEBUG:urllib3.connectionpool:http://metadata.google.internal:80 "GET 
/computeMetadata/v1/instance/service-accounts/[email protected]/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpubsub
 HTTP/1.1" 200 244

> Task :sdks:python:test-suites:dataflow:py37:preCommitIT_streaming_V2
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-05-13_17_31_50-13956832126697657521?project=apache-beam-testing
test_streaming_wordcount_it 
(apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok

----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py37.xml
----------------------------------------------------------------------
XML: 
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 547.696s

OK

> Task :sdks:python:test-suites:dataflow:py36:preCommitIT_streaming_V2
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-05-13_17_32_50-10576017378389131518?project=apache-beam-testing
test_streaming_wordcount_it 
(apache_beam.examples.streaming_wordcount_it_test.StreamingWordCountIT) ... ok

----------------------------------------------------------------------
XML: nosetests-preCommitIT-df-py36.xml
----------------------------------------------------------------------
XML: 
<https://ci-beam.apache.org/job/beam_PreCommit_Python_Cron/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 1 test in 613.122s

OK

> Task :sdks:python:test-suites:dataflow:preCommitIT_V2

FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task ':sdks:python:test-suites:tox:py36:testPy36Cython'.
> 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 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See 
https://docs.gradle.org/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 40m 45s
102 actionable tasks: 73 executed, 29 from cache

Publishing build scan...
https://gradle.com/s/7fv5h47g5yngy

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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