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- SPARK-46884
Spark Connect add property in ExecutePlanRequest for job description - SPARK-45286
Add back Matomo analytics to release docs - SPARK-47213
Proposal about moving on from the Shepherd terminology in SPIPs to "Mentor" - SPARK-47717
Support Hive tables as a streaming source and sink - SPARK-45943
DataSourceV2Relation.computeStats throws IllegalStateException in test mode - SPARK-45866
Reuse of exchange in AQE does not happen when run time filters are pushed down to the underlying Scan ( like iceberg ) - SPARK-45926
The InMemoryV2FilterBatchScan and InMemoryBatchScan are not implementing equals and hashCode correctly - SPARK-45925
SubqueryBroadcastExec is not equivalent with SubqueryAdaptiveBroadcastExec causing re-use of exchange not happening in AQE - SPARK-45924
Canonicalization of SubqueryAdaptiveBroadcastExec is broken and is not equivalent with SubqueryBroadcastExec - SPARK-45373
Minimizing calls to HiveMetaStore layer for getting partitions, when tables are repeated - SPARK-45396
Add doc entry for `pyspark.ml.connect` module - SPARK-45397
Add vector assembler feature transformer - SPARK-48685
PySpark MinHashLSH when used with CountVectorizer doesn't meet requirements - SPARK-47978
Decouple Spark Go Connect Library versioning from Spark versioning - SPARK-45959
SPIP: Abusing DataSet.withColumn can cause huge tree with severe perf degradation - SPARK-46343
Spark cannot support Docker bridge network in YARN - SPARK-45282
Join loses records for cached datasets - SPARK-46466
vectorized parquet reader should never do rebase for timestamp ntz
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