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Build / Python-only (master, Python 3.10)

Build / Python-only (master, Python 3.10) #571

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Build / Python-only (master, Python 3.10)

Build / Python-only (master, Python 3.10) #571

Triggered via schedule November 27, 2025 17:01
@dongjoon-hyundongjoon-hyun
⁠ 154a270
master
Status Success
Total duration 1h 51m 50s
Artifacts 9

build_python_3.10.yml

on: schedule
Run  /  Check changes
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Run / Check changes
Run  /  Base image build
1m 0s
Run / Base image build
Run  /  Protobuf breaking change detection and Python CodeGen check
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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
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Run / Run Spark on Kubernetes Integration test
Run  /  Run Spark UI tests
Run / Run Spark UI tests
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~RYO6E7.dockerbuild
26.6 KB
sha256:e715ebd4bf1734c623191511b0068316540169eb9fd0659c0a3975c9e9df1a3b
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.10
229 KB
sha256:b223b3b9bcf4cefdc0d334ab3304da69dc69fc12e3f895d37388d62107f0a003
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.10
180 KB
sha256:111c75c69539ec3c1edff252136901b78c3f9ab259becb914f4314b6216203f2
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.10
197 KB
sha256:6952d2450c545758fdb8206ff130559999c3ec351bd63c74cdcbe876165e4732
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.10
206 KB
sha256:5952ef89e4fc6b261f08db70c6726e3382df5bfc7de409fa616bac051b657210
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.10
173 KB
sha256:b25aa76bc244c590df830c1674c03cdfc76b87c81460427ac6a4df29f5e7505b
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.10
183 KB
sha256:936b8b00b98c5550044b80e518bb53b688dd5db46037d3c04f9e7e11665b0c86
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.10
250 KB
sha256:bf08c113bcd79bc36dbb0baf3795e3b108f59631a2912329e6e49c87982594c5
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.10
41.6 KB
sha256:13e6723cbffa1c6e6140ab4b9fcc7ed5aae03eb4785517aba6b63d86e1a6b73d