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Build / Python-only (master, Python 3.11, Numpy 2.1.3) #30

Build / Python-only (master, Python 3.11, Numpy 2.1.3)

Build / Python-only (master, Python 3.11, Numpy 2.1.3) #30

Triggered via schedule June 19, 2025 03:27
Status Success
Total duration 1h 28m 50s
Artifacts 10
Run  /  Check changes
36s
Run / Check changes
Run  /  Base image build
52s
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 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
Run / Build modules: sparkr
Run  /  Linters, licenses, and dependencies
Run / Linters, licenses, and dependencies
Run  /  Documentation generation
Run / Documentation generation
Matrix: Run / pyspark
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2 warnings
Run / Build modules: pyspark-core, pyspark-errors, pyspark-streaming, pyspark-logger
No files were found with the provided path: **/target/test-reports/*.xml. No artifacts will be uploaded.
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~Z93M1O.dockerbuild
26.5 KB
sha256:034dd237ebc65c4dd75cb7d03c83cf03a01a67a487e85299224a6902316b2b40
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.11
204 KB
sha256:81ec02b2da86f0f0db0efe1c125f1610bfc0a71d3a8622ef983a232da270f6cc
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.11
156 KB
sha256:685d54d1019ad020a3a8072480c8885a0c2696c839768e4b4f07998108ead5ef
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.11
194 KB
sha256:c884b9f542baf61b463a38ac7d1ff8c655622afa3b1e0b5b05c686275520554b
test-results-pyspark-pandas-connect-part0--17-hadoop3-hive2.3-python3.11
146 KB
sha256:481c1060a4391d41022e45b48d155440fc3884c61054b412a9821182be932343
test-results-pyspark-pandas-connect-part1--17-hadoop3-hive2.3-python3.11
110 KB
sha256:f45171b5f28ed1c0f0fa550a8d25ddc014cfc36144c0d8a3f37c2f93206390e0
test-results-pyspark-pandas-connect-part2--17-hadoop3-hive2.3-python3.11
81.4 KB
sha256:4b5bc228e03483f8daa479d79c5bf73d51a6fc6b50b58d3857264c36cbc816dd
test-results-pyspark-pandas-connect-part3--17-hadoop3-hive2.3-python3.11
49.2 KB
sha256:21d81d474f266685a295b0ff02586305266248edeabfa77117832055de9c31c4
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.11
172 KB
sha256:a303e5c95af9323040385b0dd74457a432f9ea47a1fd2506322f73b1e97b4a24
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.11
218 KB
sha256:b682520691863961e338086b762ca4eaddddbfdd9ec0e41e8e8c8d6cba35e004