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Build / Python-only (master, Python 3.10) #556

Build / Python-only (master, Python 3.10)

Build / Python-only (master, Python 3.10) #556

Triggered via schedule November 13, 2025 17:01
Status Success
Total duration 1h 57m 34s
Artifacts 9

build_python_3.10.yml

on: schedule
Run  /  Check changes
51s
Run / Check changes
Run  /  Base image build
1m 5s
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
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
0s
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~UNFL3N.dockerbuild
27 KB
sha256:3b78e87ffe91922954581b3bd19e7102ed8717a8afcbc42cd967a0e9f4a29246
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.10
228 KB
sha256:0d308d6f39edc9ea411be63065641924aeb9d9f8965d66ce311b3b211da9aafa
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.10
180 KB
sha256:24efa524dc93e49b3176961eb44cc149a495213ce07a02a1e4769bae46e7759f
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.10
196 KB
sha256:3d7e24227a014ec974b5adf49d035574aa7bc59bc98f27a2e946340a3c8f07ed
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.10
206 KB
sha256:b5cac25caf6e8ed57f4ae5f998315c9ead3fb4eaa03885abd13893df4044aafa
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.10
173 KB
sha256:6e6be6b7bd10a11142f57dd38c8f8e2f1b9d3b59909d7899f4ffab265b408edb
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.10
183 KB
sha256:2ecd2b7d149e9ce31e4f8f810b57c5f43fc4c510e6e0dc0461a85e88b0793c8a
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.10
251 KB
sha256:1b8a5c5132af5c37a857c4a99a3ddb7ed1519f64f1663521341615cb6c1ec55c
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.10
41.4 KB
sha256:f14c71f49d7a340c13c8b80e685f315111038d9d705ef65412ca80fe42d06780