See
<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/735/display/redirect?page=changes>
Changes:
[bulat.safiullin] [BEAM-14428] change text, change styling of connectors and
contribute
[noreply] [BEAM-14474] Suppress 'Mean of empty slice' Runtime Warning in
dataframe
[noreply] [BEAM-10529] update KafkaIO Xlang integration test to publish and
[noreply] Fix a few small linting bugs (#17695)
[noreply] Bump github.com/lib/pq from 1.10.5 to 1.10.6 in /sdks (#17691)
[noreply] Update release-guide.md
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Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam:
filename=apache_beam-2.40.0.dev0-py3-none-any.whl size=2777174
sha256=35374a816bf3fb708d347f07520dfa00fa2757397059286e4b6aadc2e5af78c2
Stored in directory:
/home/jenkins/.cache/pip/wheels/bc/10/43/2e6f08d57c0f9fc9e1f1ee753673c40f9e03ed660bcae39b4a
Building wheel for docopt (setup.py): started
Building wheel for docopt (setup.py): finished with status 'done'
Created wheel for docopt: filename=docopt-0.6.2-py2.py3-none-any.whl
size=13721
sha256=55eaa190ea19057ad48f9c024d26526455cb30fad3e75cadd7150c05802151d8
Stored in directory:
/home/jenkins/.cache/pip/wheels/72/b0/3f/1d95f96ff986c7dfffe46ce2be4062f38ebd04b506c77c81b9
Successfully built crcmod dill google-apitools apache-beam docopt
Installing collected packages: wcwidth, pytz, pyasn1, parameterized, docopt,
crcmod, wrapt, websocket-client, urllib3, typing-utils, typing-extensions,
threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pymysql, pymongo,
pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr,
orjson, oauthlib, numpy, more-itertools, joblib, jmespath, isodate, idna,
httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners,
fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools,
attrs, atomicwrites, sqlalchemy, scipy, requests, pyarrow, pluggy, pandas,
overrides, oauth2client, mock, grpcio-status, grpcio-gcp,
google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore,
scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs,
grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core,
docker, cryptography, azure-core, testcontainers, pytest-timeout,
pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist,
google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner,
google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language,
google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable,
google-cloud-bigquery-storage, google-cloud-bigquery, azure-storage-blob,
google-cloud-pubsublite
Attempting uninstall: pluggy
Found existing installation: pluggy 1.0.0
Uninstalling pluggy-1.0.0:
Successfully uninstalled pluggy-1.0.0
Successfully installed apache-beam-2.40.0.dev0 atomicwrites-1.4.0 attrs-21.4.0
azure-core-1.24.0 azure-storage-blob-12.12.0 boto3-1.23.3 botocore-1.26.3
cachetools-4.2.4 certifi-2022.5.18 cffi-1.15.0 charset-normalizer-2.0.12
cloudpickle-2.0.0 crcmod-1.7 cryptography-37.0.2 deprecation-2.1.0 dill-0.3.1.1
docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.4.12 fasteners-0.17.3
freezegun-1.2.1 google-api-core-1.31.5 google-apitools-0.5.31
google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.3
google-cloud-bigquery-storage-2.13.1 google-cloud-bigtable-1.7.1
google-cloud-core-1.7.2 google-cloud-datastore-1.15.4 google-cloud-dlp-3.6.2
google-cloud-language-1.3.1 google-cloud-pubsub-2.12.1
google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0
google-cloud-spanner-1.19.2 google-cloud-videointelligence-1.16.2
google-cloud-vision-1.0.1 google-crc32c-1.3.0 google-resumable-media-2.3.2
googleapis-common-protos-1.56.1 greenlet-1.1.2 grpc-google-iam-v1-0.12.4
grpcio-gcp-0.2.2 grpcio-status-1.46.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3
isodate-0.6.1 jmespath-1.0.0 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0
msrest-0.6.21 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.6.8
overrides-6.1.0 pandas-1.3.5 parameterized-0.7.5 pbr-5.9.0 pluggy-0.13.1
proto-plus-1.20.3 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8
pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1
pymongo-3.12.3 pymysql-1.0.2 pytest-4.6.11 pytest-forked-1.4.0
pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1
pyyaml-6.0 requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8
s3transfer-0.5.2 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.36
tenacity-5.1.5 testcontainers-3.5.4 threadpoolctl-3.1.0 typing-extensions-4.2.0
typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 websocket-client-1.3.2
wrapt-1.14.1
> Task :sdks:python:apache_beam:testing:load_tests:run
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform
<ParDo(PTransform) label=[Step: 0]> with stateful DoFn may not be
deterministic. This may cause incorrect behavior for complex key types.
Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform
<ParDo(PTransform) label=[Step: 1]> with stateful DoFn may not be
deterministic. This may cause incorrect behavior for complex key types.
Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform
<ParDo(PTransform) label=[Step: 2]> with stateful DoFn may not be
deterministic. This may cause incorrect behavior for complex key types.
Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform
<ParDo(PTransform) label=[Step: 3]> with stateful DoFn may not be
deterministic. This may cause incorrect behavior for complex key types.
Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform
<ParDo(PTransform) label=[Step: 4]> with stateful DoFn may not be
deterministic. This may cause incorrect behavior for complex key types.
Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform
<ParDo(PTransform) label=[Step: 5]> with stateful DoFn may not be
deterministic. This may cause incorrect behavior for complex key types.
Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform
<ParDo(PTransform) label=[Step: 6]> with stateful DoFn may not be
deterministic. This may cause incorrect behavior for complex key types.
Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform
<ParDo(PTransform) label=[Step: 7]> with stateful DoFn may not be
deterministic. This may cause incorrect behavior for complex key types.
Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform
<ParDo(PTransform) label=[Step: 8]> with stateful DoFn may not be
deterministic. This may cause incorrect behavior for complex key types.
Consider adding an input type hint for this transform.
WARNING:apache_beam.transforms.core:Key coder FastPrimitivesCoder for transform
<ParDo(PTransform) label=[Step: 9]> with stateful DoFn may not be
deterministic. This may cause incorrect behavior for complex key types.
Consider adding an input type hint for this transform.
WARNING:root:Make sure that locally built Python SDK docker image has Python
3.7 interpreter.
INFO:root:Default Python SDK image for environment is
apache/beam_python3.7_sdk:2.40.0.dev
INFO:root:Using provided Python SDK container image:
gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest
INFO:root:Python SDK container image set to
"gcr.io/apache-beam-testing/beam_portability/beam_python3.7_sdk:latest" for
Docker environment
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args:
['--iterations=10', '--number_of_counter_operations=0',
'--number_of_counters=0', '--stateful', '--use_stateful_load_generator']
INFO:apache_beam.runners.portability.portable_runner:Job state changed to
STOPPED
INFO:apache_beam.runners.portability.portable_runner:Job state changed to
STARTING
INFO:apache_beam.runners.portability.portable_runner:Job state changed to
RUNNING
ERROR:root:java.lang.NoClassDefFoundError: Could not initialize class
org.apache.beam.runners.core.construction.SerializablePipelineOptions
INFO:apache_beam.runners.portability.portable_runner:Job state changed to FAILED
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/pardo_test.py";,>
line 167, in <module>
ParDoTest().run()
File
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,>
line 151, in run
self.result.wait_until_finish(duration=self.timeout_ms)
File
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/runners/portability/portable_runner.py";,>
line 606, in wait_until_finish
raise self._runtime_exception
RuntimeError: Pipeline
load-tests-python-flink-streaming-pardo-1-0518185637_b0c68b49-10b3-4508-b980-a90292c3e43e
failed in state FAILED: java.lang.NoClassDefFoundError: Could not initialize
class org.apache.beam.runners.core.construction.SerializablePipelineOptions
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file
'<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'>
line: 58
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* 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 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/7.4/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 2m 35s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/vc5lffspqyxwo
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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