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Build / Python-only (master, Python 3.14) #54

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Build / Python-only (master, Python 3.14)

Build / Python-only (master, Python 3.14) #54

Triggered via schedule November 20, 2025 21:05
@dongjoon-hyundongjoon-hyun
⁠ 98e3673
master
Status Success
Total duration 1h 46m 6s
Artifacts 9

build_python_3.14.yml

on: schedule
Run  /  Check changes
51s
Run / Check changes
Run  /  Base image build
1m 9s
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~J4OORY.dockerbuild
28.2 KB
sha256:44f70c34c95aa3df803df4c5f679b1537642e6b96ae680d335959546bb4c3721
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.14
228 KB
sha256:4f12e77dca6365a70a9a56669bca8b71736a952f73458e5d8e343bb1cc51d507
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.14
176 KB
sha256:3a6b74c0745ddbfb85646a4ce61ab60290f08fed88a82c35a4e1650941f398ed
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.14
196 KB
sha256:8e58289cd6cf699d802cb81a513c186a2b5c1894cd726cbaefe1593e36423893
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.14
206 KB
sha256:5d057007908cd6780bea541e0ffa1acb25cde510b079b46bebad02512fe0dd33
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.14
173 KB
sha256:0179cf7cc33b722aeee69178ef12005f17371cf135e2f601d2dd642c3220e115
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.14
183 KB
sha256:f17cd57f876c3611641e778d4c58bb6d76cb3e7c0c25fb0b29e8661760e37aba
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.14
251 KB
sha256:edc2a8d0d4e53ac6b36ba4e0eae4ba531cb65952788297efe814326a3a12c8ee
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.14
41 KB
sha256:c09af82b78c94f4e325c3bf6c96ca462e48cf535d4d1b7817f55aec766949175