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Build failed in Jenkins: beam_PostCommit_Python39 #623
See <https://ci-beam.apache.org/job/beam_PostCommit_Python39/623/display/redirect>
Changes:
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FAILURE: Build failed with an exception.
* What went wrong:
Execution failed for task ':sdks:java:container:pullLicenses'.
> Process 'command './license_scripts/license_script.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 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
Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness.
Please consult deprecation warnings for more details.
BUILD FAILED in 2h 4m 37s
218 actionable tasks: 155 executed, 57 from cache, 6 up-to-date
Publishing build scan...
https://gradle.com/s/nryyz6rmeesm6
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_PostCommit_Python39 #624
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_PostCommit_Python39/624/display/redirect?page=changes>
Changes:
[noreply] Add links to the new RunInference content to Learning Resources (#22325)
[noreply] Unskip RunInference IT tests (#22324)
[noreply] cleaned up types in standard_coders.ts (#22316)
[noreply] JMH module for sdks:java:core with benchmarks for
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temp_location = p.options.view_as(GoogleCloudOptions).temp_location
apache_beam/io/gcp/bigquery_file_loads.py:1131
apache_beam/io/gcp/bigquery_file_loads.py:1131
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apache_beam/io/gcp/bigquery_file_loads.py:1131
apache_beam/io/gcp/bigquery_file_loads.py:1131
apache_beam/io/gcp/bigquery_file_loads.py:1131
apache_beam/io/gcp/bigquery_file_loads.py:1131
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apache_beam/io/gcp/bigquery_file_loads.py:1131
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apache_beam/io/gcp/bigquery_file_loads.py:1131
apache_beam/io/gcp/bigquery_file_loads.py:1131
apache_beam/io/gcp/bigquery_file_loads.py:1131
apache_beam/io/gcp/bigquery_file_loads.py:1131
apache_beam/io/gcp/bigquery_file_loads.py:1131
apache_beam/io/gcp/bigquery_file_loads.py:1131
apache_beam/io/gcp/bigquery_file_loads.py:1131
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p.options.view_as(GoogleCloudOptions).job_name or 'AUTOMATIC_JOB_NAME')
apache_beam/io/gcp/tests/utils.py:100
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table_ref = client.dataset(dataset_id).table(table_id)
apache_beam/dataframe/io.py:629
apache_beam/dataframe/io.py:629
apache_beam/dataframe/io.py:629
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return pcoll | fileio.WriteToFiles(
apache_beam/io/fileio.py:581
apache_beam/io/fileio.py:581
apache_beam/io/fileio.py:581
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p.options.view_as(GoogleCloudOptions).temp_location or
apache_beam/io/gcp/bigquery.py:2783
apache_beam/io/gcp/bigquery.py:2783
apache_beam/io/gcp/bigquery.py:2783
apache_beam/io/gcp/bigquery.py:2783
apache_beam/io/gcp/bigquery.py:2783
apache_beam/io/gcp/bigquery.py:2783
apache_beam/io/gcp/bigquery.py:2783
apache_beam/io/gcp/bigquery.py:2783
apache_beam/io/gcp/bigquery.py:2783
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project_id = pcoll.pipeline.options.view_as(GoogleCloudOptions).project
apache_beam/io/gcp/bigquery.py:2804
apache_beam/io/gcp/bigquery.py:2804
apache_beam/io/gcp/bigquery.py:2804
apache_beam/io/gcp/bigquery.py:2804
apache_beam/io/gcp/bigquery.py:2804
apache_beam/io/gcp/bigquery.py:2804
apache_beam/io/gcp/bigquery.py:2804
apache_beam/io/gcp/bigquery.py:2804
apache_beam/io/gcp/bigquery.py:2804
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pipeline_options=pcoll.pipeline.options,
apache_beam/examples/dataframe/flight_delays.py:47
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return airline_df[at_top_airports].mean()
apache_beam/io/gcp/bigquery_test.py:1846
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streaming = self.test_pipeline.options.view_as(StandardOptions).streaming
apache_beam/io/gcp/bigquery_read_it_test.py:169
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beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
apache_beam/io/gcp/big_query_query_to_table_pipeline.py:81
apache_beam/io/gcp/big_query_query_to_table_pipeline.py:81
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beam.io.BigQuerySource(
apache_beam/runners/dataflow/ptransform_overrides.py:316
apache_beam/runners/dataflow/ptransform_overrides.py:316
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io.BigQuerySink(
apache_beam/ml/gcp/cloud_dlp_it_test.py:74
<https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/sdks/python/apache_beam/ml/gcp/cloud_dlp_it_test.py>:74: FutureWarning: MaskDetectedDetails is experimental.
| MaskDetectedDetails(
apache_beam/ml/gcp/cloud_dlp_it_test.py:85
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| InspectForDetails(
apache_beam/io/gcp/bigquery_read_it_test.py:566
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beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))
apache_beam/io/gcp/bigquery_read_it_test.py:681
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| beam.io.ReadAllFromBigQuery())
apache_beam/io/gcp/bigquery.py:2914
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job_name = pcoll.pipeline.options.view_as(GoogleCloudOptions).job_name
apache_beam/io/gcp/bigquery.py:2915
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project = pcoll.pipeline.options.view_as(GoogleCloudOptions).project
apache_beam/io/gcp/bigquery.py:2928
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options=pcoll.pipeline.options,
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python39/ws/src/sdks/python/pytest_postCommitIT-df-py39.xml> -
[33m[1m============ 80 passed, 11 skipped, 207 warnings in 7571.68 seconds ============[0m
FAILURE: Build failed with an exception.
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> Process 'command './license_scripts/license_script.sh'' finished with non-zero exit value 1
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BUILD FAILED in 2h 8m 29s
218 actionable tasks: 148 executed, 64 from cache, 6 up-to-date
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