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Build / Python-only (master, Python 3.13) #271

Build / Python-only (master, Python 3.13)

Build / Python-only (master, Python 3.13) #271

Triggered via schedule June 24, 2025 20:00
Status Cancelled
Total duration 2h 2m 8s
Artifacts 11

build_python_3.13.yml

on: schedule
Run  /  Check changes
37s
Run / Check changes
Run  /  Base image build
53s
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 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
0s
Run / Run Spark UI tests
Matrix: Run / build
Run  /  Build modules: sparkr
0s
Run / Build modules: sparkr
Run  /  Linters, licenses, and dependencies
0s
Run / Linters, licenses, and dependencies
Run  /  Documentation generation
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Run / Documentation generation
Matrix: Run / pyspark
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2 errors and 2 warnings
Run / Build modules: pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines
The job has exceeded the maximum execution time of 2h0m0s
Run / Build modules: pyspark-core, pyspark-errors, pyspark-streaming, pyspark-logger
No files were found with the provided path: **/target/test-reports/*.xml. No artifacts will be uploaded.
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~EWOZGQ.dockerbuild
25.5 KB
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test-results-pyspark-connect--17-hadoop3-hive2.3-python3.13
203 KB
sha256:6090f8e67f83ecf5170e5ebc5afccf3ea2e031620cd53da038be16dcf99ae855
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.13
39.5 KB
sha256:b15064dd74d357a4e775a40dd1e7f9c29e9e163d9666c7e028b9143da8f8ce8d
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.13
194 KB
sha256:b351b44937afe75f42ba639240d271ee574b50dad1ae74a1f3d6aa5f8d326d2f
test-results-pyspark-pandas-connect-part0--17-hadoop3-hive2.3-python3.13
146 KB
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test-results-pyspark-pandas-connect-part1--17-hadoop3-hive2.3-python3.13
110 KB
sha256:291cd682386cf91eff9c6ed655b5139dfb88f119ce4be21dbe14fd77f4156f1b
test-results-pyspark-pandas-connect-part2--17-hadoop3-hive2.3-python3.13
81.3 KB
sha256:d8371bcbea131b42bfafcad8d58320802b84daf48e1d71c49e648cc8eeb9924a
test-results-pyspark-pandas-connect-part3--17-hadoop3-hive2.3-python3.13
49.4 KB
sha256:29cbbbd5108fe3c579cfc435188ac4a3cc6eef35065e26d386b794055913ef37
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.13
173 KB
sha256:ec7348c577b216daf9ca85376788a8bc9d51c15733b03f05f17cecbe310e0968
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.13
218 KB
sha256:c55565cea3ca5eaa580b579cfd6fe820e525172a2497e370d6c2b07f884655c3
unit-tests-log-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.13
442 KB
sha256:79048e2576f21298e95c2704730df37281a84089df78b5ff5dc0ee1c9b3d706b