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Build / Python Coverage (master, Python 3.11) #1258

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Build / Python Coverage (master, Python 3.11)

Build / Python Coverage (master, Python 3.11) #1258

Triggered via schedule November 21, 2025 10:06
@HyukjinKwonHyukjinKwon
⁠ 00dda2c
master
Status Success
Total duration 1h 56m 15s
Artifacts 10

build_coverage.yml

on: schedule
Run  /  Check changes
37s
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 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~KBF9WI.dockerbuild
26.7 KB
sha256:be3b05df0518a627a25037ca8c5b582426caf440d620938bfb62a5e974a2ff43
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.11
228 KB
sha256:9590cdcb432e7723de0aee808e66720350c270ef6b319e0492ca300a6101c868
test-results-pyspark-install--17-hadoop3-hive2.3-python3.11
4.17 KB
sha256:90e12d635655a96c07901752d27f80d767ad8ef999580151ae2b81715026a3a6
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.11
173 KB
sha256:0f6832d909fb43d29f5e47a2df3d310b6c37f49988954f41cf1e3f35b2153f00
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.11
196 KB
sha256:fc0d9dcc98757b37d665618db9b077011116d0519ad77d2ab100b345de8c9dab
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.11
206 KB
sha256:559c0d8b129fc4740a14807c2e668a7bcdde65938988f7bc0500eaf15d5ac6e9
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.11
173 KB
sha256:c437dc7116ebca3f53f86463cf3e150717e7d8d4693d6b1dee08800459151b13
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.11
183 KB
sha256:8137f57a8a13e867e269b759182be6be7865d63318387364b082032ab643af39
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.11
252 KB
sha256:70fab94ba680b387bee5310f131709993b7ea6b45ed5758bde5c6cb9351d3ae2
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.11
41.8 KB
sha256:6e0afd165b65b2b135b15150250d447e7f20fa7ecb6242062a6997b6f3138be4