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Build / Python-only (master, Python 3.13) #419

Build / Python-only (master, Python 3.13)

Build / Python-only (master, Python 3.13) #419

Triggered via schedule November 19, 2025 20:00
Status Success
Total duration 1h 46m 33s
Artifacts 9

build_python_3.13.yml

on: schedule
Run  /  Check changes
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Run / Check changes
Run  /  Base image build
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Run / Base image build
Run  /  Protobuf breaking change detection and Python CodeGen check
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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  /  Run TPC-DS queries with SF=1
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Run / Run TPC-DS queries with SF=1
Run  /  Run Docker integration tests
Run / Run Docker integration tests
Run  /  Run Spark on Kubernetes Integration test
Run / Run Spark on Kubernetes Integration test
Run  /  Run Spark UI tests
Run / Run Spark UI tests
Matrix: Run / build
Run  /  Build modules: sparkr
Run / Build modules: sparkr
Run  /  Linters, licenses, and dependencies
Run / Linters, licenses, and dependencies
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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~Q0MXIA.dockerbuild
27.5 KB
sha256:9d2afc872e150489f49ac69c3e341e3ed829a99f2de73c42911e2935ba4d3ee3
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.13
228 KB
sha256:7c3d6cc2ea8931603fa1938b9e22856d0f0797271ee099f96089ad6e548cdee8
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.13
171 KB
sha256:b07785363959d5db5fc6dc2573c41ca686dc3b8739aa828bb708ec3abb84bbe8
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.13
196 KB
sha256:9a2123b339dcbd46c44b4e9027d9cfd9505603461a9a46f3a6ce470c7444466b
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.13
206 KB
sha256:25bae3317c5e56973c4ebcb6c281b116996402d323b97e5fcdb723bf000c79bd
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.13
173 KB
sha256:0db0fc03cfb3df2f84d6e706a874d977e07263dc8086469735537ee91e3b2520
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.13
183 KB
sha256:c9a8b0a27dfab0a9e26f60cb2f2a127fbe65590eb590c737a3a74aec8e5eb538
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.13
250 KB
sha256:e06d5e20f4cc9a768337b28d6d96cc6bbd651d33fd0f11e9682139400e91fb8e
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.13
40.8 KB
sha256:75d340140b4997cad131eaf5295dc0eb087b09dba80aa9cfb8ada3b8ed112cb5