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Build / Python Coverage (master, Python 3.11) #1252

Build / Python Coverage (master, Python 3.11)

Build / Python Coverage (master, Python 3.11) #1252

Triggered via schedule November 15, 2025 10:05
Status Success
Total duration 1h 56m 25s
Artifacts 9

build_coverage.yml

on: schedule
Run  /  Check changes
37s
Run / Check changes
Run  /  Base image build
55s
Run / Base image build
Run  /  Protobuf breaking change detection and Python CodeGen check
Run / Protobuf breaking change detection and Python CodeGen check
Run  /  Java 17 build with Maven
Run / Java 17 build with Maven
Run  /  Java 25 build with Maven
Run / Java 25 build with Maven
Run  /  Run TPC-DS queries with SF=1
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
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~XWPFU3.dockerbuild
28.1 KB
sha256:2fb33a4d31204de5f4eea16fb0053b7ecf5c5115778c0f872f0e6714b402fc12
test-results-pyspark-connect--17-hadoop3-hive2.3-python3.11
228 KB
sha256:d98dc733d6a10c1468c4d6dd8dbf97a392da0222ce23c7cc614b0558f7a050d9
test-results-pyspark-mllib, pyspark-ml, pyspark-ml-connect, pyspark-pipelines--17-hadoop3-hive2.3-python3.11
172 KB
sha256:6644b62fa6281ccc55c76d97a607a05f70c3e74e161eda9da11b1221656c0f45
test-results-pyspark-pandas--17-hadoop3-hive2.3-python3.11
196 KB
sha256:39f4a229c88f4af285b2aaa5aed4f2e0159804bcfb56a461a229b3aaa9936ec8
test-results-pyspark-pandas-connect--17-hadoop3-hive2.3-python3.11
206 KB
sha256:8a80d43292a0834ed56ff0c4c7243128cf2c9050c93c67854683110e3b85c3de
test-results-pyspark-pandas-slow--17-hadoop3-hive2.3-python3.11
173 KB
sha256:f5f9ff8fb556e5f230887fce5a45511a7966d4095e7e2fa0e16e8fdc8a45c71a
test-results-pyspark-pandas-slow-connect--17-hadoop3-hive2.3-python3.11
183 KB
sha256:3a2b682fe0c3a90e98a7e277e2abf431541f9c704aca3bdef61373ccac6d726e
test-results-pyspark-sql, pyspark-resource, pyspark-testing--17-hadoop3-hive2.3-python3.11
252 KB
sha256:c1cf4d99968d95903e2f41c03a6c3ad599bc0f64c04dece90cd70af0da443d9f
test-results-pyspark-structured-streaming, pyspark-structured-streaming-connect--17-hadoop3-hive2.3-python3.11
42.6 KB
sha256:15635dba30ab20e2308cadc959d4625667b88bdc0682e7726838b52832e64642