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Build / Python-only (master, Python 3.13) #416

Build / Python-only (master, Python 3.13)

Build / Python-only (master, Python 3.13) #416

Triggered via schedule November 16, 2025 20:00
Status Success
Total duration 1h 46m 47s
Artifacts 9

build_python_3.13.yml

on: schedule
Run  /  Check changes
41s
Run / Check changes
Run  /  Base image build
53s
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
0s
Run / Linters, licenses, and dependencies
Run  /  Documentation generation
0s
Run / Documentation generation
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~QKQYM6.dockerbuild
28.1 KB
sha256:a68b51ec8aaf13cebc21bf223fbc8a7407bfd50fec99a50792b6d7254b589d7b
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.13
228 KB
sha256:9f191180285c9b6cd888173b69b80a507c72e69733fa01d0540e7729644c5d9c
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.13
170 KB
sha256:af7264f0128de135d9db10da0a41188204228d7f1d9f239ed6de6100edd43a99
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.13
196 KB
sha256:a38b53e53210a4f0b361f9be1d3c27fd6d3359f0bc5b3f56f6bd80e1088cbe82
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.13
206 KB
sha256:aceb5fbebd555a9af31beefe707b29e7c0900b35b790906db3ecaf1d3fd7fcc1
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.13
173 KB
sha256:0c2e2373afc9705b9980fcd37c85e14f82460e751b708f69945973424cc058a2
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.13
183 KB
sha256:f9e7b666e53164afde72706a1cbe680fd763932e0aa306cdcd19391319b97584
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.13
251 KB
sha256:6964632cfeadca152cd3e36b19cdf8fdb46550b3dd02c5b591aaafa483a4d67c
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.13
40.8 KB
sha256:6ae9a85ce9340fb25ede6e75b924dfa93d539eac6bb901c1ce6f891325f2847c