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Build / Python-only (master, Python 3.10) #566

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Build / Python-only (master, Python 3.10)

Build / Python-only (master, Python 3.10) #566

Triggered via schedule November 23, 2025 17:01
@dongjoon-hyundongjoon-hyun
⁠ cda5121
master
Status Success
Total duration 1h 48m 31s
Artifacts 9

build_python_3.10.yml

on: schedule
Run  /  Check changes
39s
Run / Check changes
Run  /  Base image build
52s
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
0s
Run / Java 17 build with Maven
Run  /  Java 25 build with Maven
0s
Run / Java 25 build with Maven
Run  /  Run TPC-DS queries with SF=1
0s
Run / Run TPC-DS queries with SF=1
Run  /  Run Docker integration tests
0s
Run / Run Docker integration tests
Run  /  Run Spark on Kubernetes Integration test
0s
Run / Run Spark on Kubernetes Integration test
Run  /  Run Spark UI tests
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Run / Run Spark UI tests
Matrix: Run / build
Run  /  Build modules: sparkr
0s
Run / Build modules: sparkr
Run  /  Linters, licenses, and dependencies
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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~QMI0FL.dockerbuild
27.1 KB
sha256:6b3a2d66b24dc76b2bca00a8fcf6991563a086bbff9444a46e022f285ba80415
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.10
228 KB
sha256:e6aee516cedfe08edf39cb7750298cbf8156efe8642e61f17fc14d18a076c1bc
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.10
184 KB
sha256:2614a91d385eba7dbf4a8f40590145730b9e8e11828472e312d7f1dbc5c1bee0
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.10
196 KB
sha256:6cae87339c3fed51360c1554d53f252999d20412dc0d29835d265821e783c56a
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.10
207 KB
sha256:31e0b803fb848624ac380e96c7240f5f9fd876eee41cf71791c1367b944e7116
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.10
173 KB
sha256:27100c514bf4ed5f58a8b83937e85cc8d485301a4df28cba92875c4ad3a2b380
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.10
183 KB
sha256:2918b68cd331cb4164476751e0ca568a64aa855863cac7d938e8551296cea451
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.10
251 KB
sha256:30f91b55bde9f7f847ea1af16e27eabab85815eaf6dc5ae1132370756725c240
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.10
41.3 KB
sha256:9299f26977bd095ca93a155bd3a1f5baf1bc1321b5fc1e10ef257f3bf885ce90