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Build / Python-only (master, Python 3.14)

Build / Python-only (master, Python 3.14) #46

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Build / Python-only (master, Python 3.14)

Build / Python-only (master, Python 3.14) #46

Triggered via schedule November 12, 2025 21:05
@dongjoon-hyundongjoon-hyun
⁠ 05b0543
master
Status Success
Total duration 1h 46m 40s
Artifacts 9

build_python_3.14.yml

on: schedule
Run  /  Check changes
37s
Run / Check changes
Run  /  Base image build
58s
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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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~OQ6VWZ.dockerbuild
27.8 KB
sha256:884e1af2c7f044a5f579d949f81365ae527808caff280b9ca2b9eee136a15c3f
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.14
227 KB
sha256:184566ba8d4b9d41a5bb8435ff74f22fb5e42e6abac81933df4896a78da9c20d
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.14
174 KB
sha256:791103a51cb4c67574a33ac5f56d65d63936bb95cc67fa75e0eb66d0cf19f34f
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.14
196 KB
sha256:f89671228f7268b76a20747bef80e28b57c1bf6a247e0a5a795b03e7bb796baf
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.14
206 KB
sha256:f4278e79172da655fea47c8a232b9a83e2fb462dbcaa1a5952bce8fb3b646db9
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.14
173 KB
sha256:5199c9a29b47289e6e436690f4bc4714a2300a81273f8b4e76f48ad7453aa944
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.14
183 KB
sha256:a3c0bfc871804fa6fb24f72ac0a1a91ffd49625a9040d9b1e63d4e6be7a29ca8
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.14
251 KB
sha256:64eaa0136ddfd3b619cb5ec97886e7a98dbf75f41223ababd93231dd98237c74
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.14
40.9 KB
sha256:9163dcb91ad888145486b92901874e01c354d497dd634e029ec49538901a7d75