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Build / Python-only (master, Python 3.10)

Build / Python-only (master, Python 3.10) #563

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Build / Python-only (master, Python 3.10)

Build / Python-only (master, Python 3.10) #563

Triggered via schedule November 20, 2025 17:01
@dongjoon-hyundongjoon-hyun
⁠ 3dcb661
master
Status Success
Total duration 1h 49m 15s
Artifacts 9

build_python_3.10.yml

on: schedule
Run  /  Check changes
37s
Run / Check changes
Run  /  Base image build
57s
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
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
Run / Build modules: sparkr
Run  /  Linters, licenses, and dependencies
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~6PGENG.dockerbuild
26 KB
sha256:f9ce476f348d0f76b2b6dcf764af23a4728c664203367d79a880a0828dbccdbb
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.10
228 KB
sha256:65e34f34c4629052ef4777959dbeabdda3d94fe29bb90b8751f17dc4e743dede
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.10
183 KB
sha256:531a86f382816bec4cd282bed8822bbf44639417c9f13db5bd9018ddde3a909a
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.10
196 KB
sha256:289de6da95d9e64bd975729e917df5eddd09ad2d08fe6f863af2e2a8c7014160
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.10
206 KB
sha256:2f4864fefb4d224a003efa0ffd8099cb747b47d0cb74e78256aa8ebe11b173b5
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.10
173 KB
sha256:c2bc1d0a4c3ef27e748da580866ae050bba6021821d09936925c81f455b2af58
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.10
183 KB
sha256:e4764ffe1a82fbdf2895350baef9ac37cadd3c1f43cd668c74d5e26903bf319f
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.10
251 KB
sha256:150f46937e38dabd7528a584d1b0ec66c9d75c7a157e8aec401e1b1b2f8ebbfe
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.10
40.7 KB
sha256:4ba82f8d3c78c9006a41c5afa9205dd02dfc6eb73f2a98e0afdb954f4e2bbbb1