See
<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Flink_Streaming/754/display/redirect?page=changes>
Changes:
[yathu] [BEAM-14471] Fix PytestUnknownMarkingWarning
[Robert Bradshaw] Populate missing display data for remotely expanded
transforms.
[Robert Bradshaw] Add an option to run Python operations in-line when invoked
as a remote
[Robert Bradshaw] Pass options underlying runner in remote job service.
[noreply] Update Jira -> Issues in the Readme
[noreply] [Fixes #18679] Ensure that usage of metrics on a template job reports
an
[noreply] Clean up uses of == instead of === in ts sdk (#17732)
[Robert Bradshaw] Comment, lint fixes.
[noreply] Mount GCP credentials in local docker environments. (#19265)
[noreply] [BEAM-14068]Add Pytorch inference IT test and example (#17462)
[noreply] [Playground] [Hotfix] Remove autoscrolling from embedded editor
(#21717)
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> 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.
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-1-0607100454_0d32099e-0153-40d8-a197-b42535ba128d
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 1m 42s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/izeornxqupluu
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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