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Build / Python-only, Classic-only (master, Python 3.11)

Build / Python-only, Classic-only (master, Python 3.11) #34

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Build / Python-only, Classic-only (master, Python 3.11)

Build / Python-only, Classic-only (master, Python 3.11) #34

Triggered via schedule July 28, 2025 00:39
@zhengruifengzhengruifeng
⁠ cdc89ae
master
Status Failure
Total duration 1h 24m 40s
Artifacts 11

build_python_3.11_classic_only.yml

on: schedule
Run  /  Check changes
37s
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
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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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1 error and 2 warnings
Run / Build modules: pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines
Process completed with exit code 19.
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~VMQQAU.dockerbuild
26.9 KB
sha256:ab14878b5dabe152b3b54620afaf5eafd3aa12e788d741ca1934b32ae3b4b5ef
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.11
114 KB
sha256:4716463a55844d86e5e7ec8c822989f3b43f76cd2297d821421bd71152966836
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.11
147 KB
sha256:17e84384f2da1a1ecc4ef645721cc026f9fa4c56fdf56ed86b0db3c63aeabb70
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.11
196 KB
sha256:e3effe1cdf5d3b45df1bfc1e129d883e63b00fafe029090cb9a110df623b1ec3
test-results-pyspark-pandas-connect-part0--17-hadoop3-hive2.3-python3.11
106 KB
sha256:e02597428b46aaf72f6f07ac804e31cd275cc45132d164e58628e94b3582ac3d
test-results-pyspark-pandas-connect-part1--17-hadoop3-hive2.3-python3.11
74.2 KB
sha256:817500588b6df249c6843b114fa7d82b579a41f8cdf8a3044fe64ab20ea3bb67
test-results-pyspark-pandas-connect-part2--17-hadoop3-hive2.3-python3.11
61.8 KB
sha256:0484a3bb551b7869eab6177fecbe93490f584b5a847774b71df7a09bb84974b5
test-results-pyspark-pandas-connect-part3--17-hadoop3-hive2.3-python3.11
38.9 KB
sha256:06b54e14250c9e86992699af846472ee718f630f7d716d61cd4a1e256e591187
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.11
173 KB
sha256:5d2fe7e64cb150dc466b9601e3961a0c0bc94052dc33f3922c41a3ce297aba45
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.11
243 KB
sha256:f28638a5f0051a804792afef52c750b40f957794f19b1d0d639b08e41b433846
unit-tests-log-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.11
6.53 MB
sha256:f1b92a77fca5235d5baec3cadbde582c1111b6bce80809b933898834d338ea25