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Build / Python-only (master, Minimum dependencies of Pandas API on Spark) #339

Build / Python-only (master, Minimum dependencies of Pandas API on Spark)

Build / Python-only (master, Minimum dependencies of Pandas API on Spark) #339

Triggered via schedule November 27, 2025 10:01
Status Success
Total duration 1h 49m 50s
Artifacts 9
Run  /  Check changes
40s
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 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
Run / Build modules: sparkr
Run  /  Linters, licenses, and dependencies
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~ODDV79.dockerbuild
25.3 KB
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test-results-pyspark-connect--17-hadoop3-hive2.3-python3.10
227 KB
sha256:a056884c987821551bc6e97b0b15b917cbfdbe76c660bf90782641436ad62cb9
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.10
156 KB
sha256:6cc57702209ae5d496ce7078bb7f3d73ff724ad1f820c949f652b6ae5d3550a0
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.10
194 KB
sha256:451ea895021f340374c0ef030b2b502523f5eca7a819cfd4ca406f7d5d011e92
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.10
204 KB
sha256:da0527b0b6ee01e82a2bfcb352539aa3bd212e81d0d86a2236ca2458676790c0
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.10
172 KB
sha256:03c9ff1303280863c4a633c06018cef680a9f6510484736abdc621cdc7181bb6
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.10
182 KB
sha256:a8f8cada17d93379be44492bb58a92c172a10c1818e1d79b5699321c4e6b51f8
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.10
250 KB
sha256:d2341100e80b01ff67cc9ba5e70b231df4f610ac4e7c31c985075cfcd25fe876
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.10
41.4 KB
sha256:56ebbe4226877176e14f20c4ea2dfab32bc2f0ecdf60fc939f6d95e55cea2c75