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Build / Python-only (master, Python 3.13) #428

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Build / Python-only (master, Python 3.13)

Build / Python-only (master, Python 3.13) #428

Triggered via schedule November 28, 2025 20:00
@dongjoon-hyundongjoon-hyun
⁠ a90b615
master
Status Success
Total duration 1h 47m 46s
Artifacts 9

build_python_3.13.yml

on: schedule
Run  /  Check changes
1m 24s
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Run  /  Base image build
59s
Run / Base image build
Run  /  Protobuf breaking change detection and Python CodeGen check
0s
Run / Protobuf breaking change detection and Python CodeGen check
Run  /  Java 17 build with Maven
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Run / Java 17 build with Maven
Run  /  Java 25 build with Maven
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Run / Java 25 build with Maven
Run  /  Run TPC-DS queries with SF=1
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Run / Run TPC-DS queries with SF=1
Run  /  Run Docker integration tests
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Run / Run Docker integration tests
Run  /  Run Spark on Kubernetes Integration test
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Run / Run Spark on Kubernetes Integration test
Run  /  Run Spark UI tests
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Matrix: Run / build
Run  /  Build modules: sparkr
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Run / Build modules: sparkr
Run  /  Linters, licenses, and dependencies
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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~DPRWWG.dockerbuild
28.1 KB
sha256:a30cf42d285d5a6aeeef0621f9f4e24db529b89ad61c7c691d12416f4799e3f3
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.13
228 KB
sha256:616d518ca772164abb75a603ba5e4ccd6a09e0fe0735ece509065bbefef87f8c
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.13
172 KB
sha256:75791f667eb2a4c77ca0384be65d31910c21b70a8eeef87450ee76de629985ac
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.13
196 KB
sha256:4bd34d70af211f907f2fe109c13f2bc27e6876bdce3adc72a5c980e4cab2dce5
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.13
206 KB
sha256:ed67126d63e3f0ce55c9ddeb1ae8ea3e7248173c1cac8878269b64b935c3c9b6
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.13
173 KB
sha256:27f639ae04e4e33b090d310f82ca3cc762f5414afdd6fd6e03d080565f07d49d
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.13
183 KB
sha256:afa0714e0f84d6439d400bb73fec06fc158722a493020603998aee5c9129ac00
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.13
249 KB
sha256:9ff086015709422a4acb3799ff4ae1ad50366673768b7ccdbcd28b94e7fbac5e
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.13
41 KB
sha256:a26c9484057da732a8cea9991034023b7d7c23689e30cc4b2e00f4a1d42ab5c0