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spark
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Name
Complexity
Churn
Issues
A
sql\catalyst\src\test\scala\org\apache\spark\sql\connector\catalog\NullTableIdInMemoryTableCatalog.scala
1 2 -
A
python\pyspark\pandas\tests\connect\reshape\test_parity_get_dummies_prefix.py
 2 -
A
sql\catalyst\src\test\scala\org\apache\spark\sql\connector\catalog\SupportsAtomicPartitionManagementSuite.scala
2 3 -
A
core\src\test\scala\org\apache\spark\deploy\JsonProtocolSuite.scala
2 2 -
A
sql\catalyst\src\test\scala\org\apache\spark\sql\connector\catalog\TypeChangeResetsColIdTableCatalog.scala
4 3 -
A
python\pyspark\pandas\tests\connect\series\test_parity_all_any.py
 2 -
A
sql\catalyst\src\test\scala\org\apache\spark\sql\connector\catalog\txns.scala
42 7 -
A
connector\kafka-0-10-sql\src\test\scala\org\apache\spark\sql\kafka010\consumer\KafkaDataConsumerSuite.scala
17 1 -
A
sql\core\src\main\scala\org\apache\spark\sql\execution\streaming\state\package.scala
2 3 -
A
sql\core\src\main\scala\org\apache\spark\sql\execution\streaming\state\StateStoreRowChecksum.scala
43 4 -
A
sql\core\src\main\scala\org\apache\spark\sql\execution\datasources\v2\CreateV2ViewExec.scala
34 3 -
A
sql\core\src\main\scala\org\apache\spark\sql\execution\datasources\FileFormat.scala
27 4 -
A
sql\core\src\main\scala\org\apache\spark\sql\execution\command\CommandUtils.scala
81 7 -
A
sql\core\src\main\scala\org\apache\spark\sql\execution\aggregate\ObjectAggregationMap.scala
9 2 -
A
sql\core\src\main\scala\org\apache\spark\sql\execution\adaptive\PlanAdaptiveDynamicPruningFilters.scala
11 3 -
A
sql\connect\common\src\main\scala\org\apache\spark\sql\connect\client\GrpcRetryHandler.scala
28 5 -
A
common\network-common\src\main\java\org\apache\spark\network\protocol\ChunkFetchRequest.java
1 2 -
A
core\src\main\scala\org\apache\spark\TaskContext.scala
46 4 -
A
mllib\src\main\scala\org\apache\spark\ml\classification\Classifier.scala
22 2 -
A
python\pyspark\sql\tests\pandas\helper\helper_pandas_transform_with_state.py
190 15 -