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Build / Python-only (master, Python 3.13) #283

Build / Python-only (master, Python 3.13)

Build / Python-only (master, Python 3.13) #283

Triggered via schedule July 6, 2025 20:00
Status Cancelled
Total duration 2h 2m 6s
Artifacts 11

build_python_3.13.yml

on: schedule
Run  /  Check changes
38s
Run / Check changes
Run  /  Base image build
55s
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
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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~DY470W.dockerbuild
27.3 KB
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test-results-pyspark-connect--17-hadoop3-hive2.3-python3.13
203 KB
sha256:0eeea0a95ffa3afb137a9f96cdcd2069775c275033520e09894e31e7725edc91
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.13
41.1 KB
sha256:103bf4460aa3c189087b39cb38d1d4e4235db6185f05a4050eb419ce472c3f66
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.13
194 KB
sha256:053e77ce87491e3039cc61530d508f4e206563977b327725a6eaf8a42842ee05
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
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test-results-pyspark-pandas-connect-part2--17-hadoop3-hive2.3-python3.13
81.3 KB
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test-results-pyspark-pandas-connect-part3--17-hadoop3-hive2.3-python3.13
49.4 KB
sha256:0e76c04099c9f7aed6ea93af73f06066e80247c08c45739d43ebfdaf06339e9f
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.13
173 KB
sha256:1866cdf94215c5f60479aceb612894c87de9618e215d19b73cddf14e0e0913ed
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.13
218 KB
sha256:e3c004ab8d2830b9500a5bdee099a714c7a3f1fd99061821625b6a2e754bf794
unit-tests-log-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.13
621 KB
sha256:03e2263344f5c421b01dcd7c5778e41ed26d2c6d918a584b7f2b059717b718f1