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Build / Python-only (master, Python 3.10)

Build / Python-only (master, Python 3.10) #560

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Build / Python-only (master, Python 3.10)

Build / Python-only (master, Python 3.10) #560

Triggered via schedule November 17, 2025 17:01
@dongjoon-hyundongjoon-hyun
⁠ 1db267e
master
Status Success
Total duration 1h 45m 23s
Artifacts 9

build_python_3.10.yml

on: schedule
Run  /  Check changes
40s
Run / Check changes
Run  /  Base image build
54s
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
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Run / Java 17 build with Maven
Run  /  Java 25 build with Maven
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Run / Java 25 build with Maven
Run  /  Run TPC-DS queries with SF=1
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Run / Run TPC-DS queries with SF=1
Run  /  Run Docker integration tests
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Run / Run Docker integration tests
Run  /  Run Spark on Kubernetes Integration test
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Run / Run Spark on Kubernetes Integration test
Run  /  Run Spark UI tests
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Run / Run Spark UI tests
Matrix: Run / build
Run  /  Build modules: sparkr
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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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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~F90RQM.dockerbuild
27.3 KB
sha256:0338610f9707eddeb5ea6f8f0e21c7c6facf9452465a9d5245d2c527e6220a95
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.10
228 KB
sha256:3f821ec8679f9ba96073e0f7890aa1cbed6270ce410996925fcb2ad4b5e3ae76
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.10
181 KB
sha256:8b8ddae7a5e272f526c91fa6037412f5b6465082b73f0a9df782183508ce1326
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.10
196 KB
sha256:d6e314217040065f771c167e6b74764b47fd1a6f3f89a3caeceac9f7bacfdf37
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.10
206 KB
sha256:21d085790072e438c866ff63fccc05d50b596cd95f1e2d6984ed36a785a7af08
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.10
173 KB
sha256:02b7fc65fa8998010e0e109ebbee9e92810abe1cd664c76c75a2587bbaf7219d
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.10
183 KB
sha256:623435089315dd453b862a22d3d6d3ff8cb19edb606931f9d731ee34815585ca
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.10
251 KB
sha256:96b7fd497479efbcff4c69a96a125fa3ed816dc120bfec428d9b2dfe4f642e36
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.10
40.8 KB
sha256:082149ae304ddca8b1aaf78b0547b96e52d620c2157ad8bff51c59096ba316d2