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spark
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Complexity
Churn
Issues
A
core\src\test\scala\org\apache\spark\StreamingShuffleOutputTrackerSuite.scala
6 1 -
A
python\pyspark\pandas\tests\connect\io\test_parity_dataframe_conversion.py
 2 -
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R\pkg\R\catalog.R
 5 -
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python\pyspark\sql\connect\sql_formatter.py
8 2 -
A
sql\catalyst\src\test\scala\org\apache\spark\sql\connector\catalog\InMemoryEnhancedPartitionFilterTable.scala
19 3 -
A
python\pyspark\pandas\tests\connect\io\test_parity_feather.py
 2 -
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sql\catalyst\src\test\scala\org\apache\spark\sql\connector\catalog\InMemoryPartitionTable.scala
19 2 -
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core\src\test\scala\org\apache\spark\benchmark\Benchmark.scala
21 3 -
A
dev\structured_logging_style.py
12 4 -
A
python\pyspark\sql\connect\streaming\query.py
39 3 -
A
python\pyspark\sql\connect\streaming\worker\foreach_batch_worker.py
2 5 -
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python\pyspark\sql\connect\streaming\worker\listener_worker.py
10 4 -
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.github\workflows\build_java25.yml
 4 -
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.github\workflows\build_python_3.14_nogil.yml
 3 -
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R\pkg\R\mllib_tree.R
 1 -
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docs\Gemfile
 4 -
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python\pyspark\sql\connect\tvf.py
4 7 -
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common\network-shuffle\src\test\java\org\apache\spark\network\shuffle\OneForOneBlockPusherSuite.java
4 2 -
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core\src\main\resources\org\apache\spark\ui\static\initialize-tooltips.js
2 3 -
A
docs\Gemfile.lock
 5 -