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Build / Python Coverage (master, Python 3.11) #1254

Build / Python Coverage (master, Python 3.11)

Build / Python Coverage (master, Python 3.11) #1254

Triggered via schedule November 17, 2025 10:07
Status Success
Total duration 1h 59m 45s
Artifacts 9

build_coverage.yml

on: schedule
Run  /  Check changes
38s
Run / Check changes
Run  /  Base image build
51s
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~SSYE0L.dockerbuild
27.4 KB
sha256:1732855b61ce01711421b970acd743a45b6b03e0396564a33a3db7062cde84da
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.11
228 KB
sha256:59910c6af057f2f84482f9d70c258f2c277f97b6a149086e38ffb70c5ea45980
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.11
172 KB
sha256:8b19b83eca41503e34c08ccf6115d2360e010fc87447dac0d01720270711bc84
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.11
196 KB
sha256:32b173feeaf8548845eebb993245daa5bc3f051e2be0c1d244fbf88791e279c6
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.11
206 KB
sha256:756a17ac5fbf9e44885301d9affbb2624b5561b53e132cea453e62cb1526c550
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.11
173 KB
sha256:3f8eb5c37314d40b50c954e38cfd16af5d627229c739fbc1e075eee853254468
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.11
183 KB
sha256:b8b6b8bdac996ee3d0a601b2fdcf7388c90bc6dce66533818b3d149fde2028fd
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.11
252 KB
sha256:245c4e789e9da0a5628ed83bea23da9f7403ac1b909c0e232d63613114fcbb50
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.11
41.6 KB
sha256:0448e8d3cd1772a1bae86729cc07a77b3e996f82e32f4829c5211dff312e63b1