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- SPARK-42357
Log `exitCode` when `SparkContext.stop` starts - SPARK-42343
Ignore `IOException` in `handleBlockRemovalFailure` if SparkContext is stopped - SPARK-42190
Support `local[*]` in `spark-submit` in K8s environment - SPARK-41543
Add `TOTAL_SHUFFLE_WRITE` executor roll policy - SPARK-41540
Add `DISK_USED` executor roll policy - SPARK-41536
Remove `Dynamic Resource Allocation` from K8s Future Work - SPARK-40979
Keep removed executor info in decommission state - SPARK-40636
Fix wrong remained shuffles log in BlockManagerDecommissioner - SPARK-40596
Populate ExecutorDecommission with more informative messages - SPARK-40481
Ignore stage fetch failure caused by decommissioned executor - SPARK-40379
Propagate decommission executor loss reason during onDisconnect in K8s - SPARK-40304
Add decomTestTag to K8s Integration Test - SPARK-40269
Randomize the orders of peer in BlockManagerDecommissioner - SPARK-40198
Enable spark.storage.decommission.(rdd|shuffle)Blocks.enabled by default - SPARK-40060
Add numberDecommissioningExecutors metric - SPARK-39987
Support PEAK_JVM_(ON|OFF)HEAP_MEMORY executor rolling policy - SPARK-39846
Enable spark.dynamicAllocation.shuffleTracking.enabled by default - SPARK-39450
Reuse PVCs by default - SPARK-39324
Log ExecutorDecommission as INFO level in TaskSchedulerImpl - SPARK-39322
Remove `Experimental` from `spark.dynamicAllocation.shuffleTracking.enabled` - SPARK-38418
Add PySpark cleanShuffleDependencies API - SPARK-38417
Remove `Experimental` from `RDD.cleanShuffleDependencies` API - SPARK-38062
FallbackStorage shouldn't attempt to resolve arbitrary "remote" hostname - SPARK-38023
ExecutorMonitor.onExecutorRemoved should handle ExecutorDecommission as finished - SPARK-38019
ExecutorMonitor.timedOutExecutors should be deterministic - SPARK-33870
Enable spark.storage.replication.proactive by default
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