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Build / Python-only (master, Python 3.13) #423

Build / Python-only (master, Python 3.13)

Build / Python-only (master, Python 3.13) #423

Triggered via schedule November 23, 2025 20:00
Status Success
Total duration 1h 45m 18s
Artifacts 9

build_python_3.13.yml

on: schedule
Run  /  Check changes
38s
Run / Check changes
Run  /  Base image build
1m 5s
Run / Base image build
Run  /  Protobuf breaking change detection and Python CodeGen check
Run / Protobuf breaking change detection and Python CodeGen check
Run  /  Java 17 build with Maven
Run / Java 17 build with Maven
Run  /  Java 25 build with Maven
Run / Java 25 build with Maven
Run  /  Run TPC-DS queries with SF=1
Run / Run TPC-DS queries with SF=1
Run  /  Run Docker integration tests
Run / Run Docker integration tests
Run  /  Run Spark on Kubernetes Integration test
Run / Run Spark on Kubernetes Integration test
Run  /  Run Spark UI tests
Run / Run Spark UI tests
Matrix: Run / build
Run  /  Build modules: sparkr
0s
Run / Build modules: sparkr
Run  /  Linters, licenses, and dependencies
0s
Run / Linters, licenses, and dependencies
Run  /  Documentation generation
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Run / Documentation generation
Matrix: Run / pyspark
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3 warnings
Run / Build modules: pyspark-core, pyspark-errors, pyspark-streaming, pyspark-logger
No files were found with the provided path: **/target/test-reports/*.xml **/target/surefire-reports/*.xml. No artifacts will be uploaded.
Run / Build modules: pyspark-core, pyspark-errors, pyspark-streaming, pyspark-logger
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter
Run / Build modules: pyspark-core, pyspark-errors, pyspark-streaming, pyspark-logger
The 'defaults' channel might have been added implicitly. If this is intentional, add 'defaults' to the 'channels' list. Otherwise, consider setting 'conda-remove-defaults' to 'true'.

Artifacts

Produced during runtime
Name Size Digest
apache~spark~4AVJFU.dockerbuild
27.5 KB
sha256:7d0f5f1c222471130572af92e02f0cab7e6c6810d002a0e9f5f306f686e6d795
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.13
228 KB
sha256:aee6cd09d4ca37f9274311ac9ce5915939acedfe1b311c80a128c1bdf4a88cc0
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.13
170 KB
sha256:b9297a1ddd30114d1e6894dd59d39c52fffc74a5f2aeca7de58599aa6ec2bf76
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.13
196 KB
sha256:e99478b0344389f15c3dce853512e61a175f24f820e91853036eee85f04f014a
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.13
206 KB
sha256:afbc8602ecd8a9188eec767d03e41701aa55970e8b9107f0e5bab2e1d3764d40
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.13
173 KB
sha256:5d505ca2f56f48bcf1f0e067551b06dee48642821f778d5bc9202afcd7b0cc21
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.13
183 KB
sha256:14c54c07f7f936aaa98adb0e3f521de92ddab31c92eab71f2414fb76a3fd1b51
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.13
250 KB
sha256:fff218e0d19be312ede823bb7df65a696e3ca551549c3386c3cd613ef1807380
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.13
40.5 KB
sha256:f693bb58bca109c769b3db5c9d4d566ea521154e384211f8bc709987b574cbe6