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Build / Python-only (master, Python 3.10)

Build / Python-only (master, Python 3.10) #564

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Build / Python-only (master, Python 3.10)

Build / Python-only (master, Python 3.10) #564

Triggered via schedule November 21, 2025 17:01
@dongjoon-hyundongjoon-hyun
⁠ ac69d93
master
Status Success
Total duration 1h 49m 47s
Artifacts 9

build_python_3.10.yml

on: schedule
Run  /  Check changes
39s
Run / Check changes
Run  /  Base image build
1m 1s
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
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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
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
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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
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~ECB7QX.dockerbuild
27.6 KB
sha256:c852eabc750d3a3f23db7179cfb36a76ea02b3ec61f5fbe24092029ad941f819
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.10
228 KB
sha256:4670ae89a6f075f45f309d84b431e6b2fc83b589087d33a5230de212441fa02e
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.10
181 KB
sha256:851bde54d1606373a3e457b72759da1b959e46431882489a36f9511fe3a29d8b
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.10
196 KB
sha256:9c1fe8211e042257fb20631c92867dfca4ab46cbea06db68fe829116e71f164c
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.10
206 KB
sha256:f659129f5d205069419fcf2d76dd611465c27817e2d6be5d17c5e7cb773766c0
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.10
173 KB
sha256:2cfd45c15fe7a1e03a55dc18c29d5c84a8301bddfdf1729cb2e8cdbceb744d60
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.10
183 KB
sha256:27b1a844ac08343420c304bb1daaf275e53d3b31d53faa5f250d6bcbdd6148dc
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.10
251 KB
sha256:6f96e2d5c8ea339817475b13d885cacf0654ba52129e0d7273daa87774541e4a
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.10
42.2 KB
sha256:908a4f3bf3e02648e68aace968b4778aca302cb124e6c2856745957918986fec