Ngone51 commented on a change in pull request #24497: [SPARK-27630][CORE] 
Properly handle task end events from completed stages
URL: https://github.com/apache/spark/pull/24497#discussion_r289607965
 
 

 ##########
 File path: core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala
 ##########
 @@ -645,30 +649,30 @@ private[spark] class ExecutorAllocationManager(
    */
   private[spark] class ExecutorAllocationListener extends SparkListener {
 
-    private val stageIdToNumTasks = new mutable.HashMap[Int, Int]
-    // Number of running tasks per stage including speculative tasks.
-    // Should be 0 when no stages are active.
-    private val stageIdToNumRunningTask = new mutable.HashMap[Int, Int]
-    private val stageIdToTaskIndices = new mutable.HashMap[Int, 
mutable.HashSet[Int]]
+    private val stageAttemptToNumTasks = new mutable.HashMap[StageAttempt, Int]
+    private val stageAttemptToTaskIndices = new mutable.HashMap[StageAttempt, 
mutable.HashSet[Int]]
     private val executorIdToTaskIds = new mutable.HashMap[String, 
mutable.HashSet[Long]]
     // Number of speculative tasks to be scheduled in each stage
-    private val stageIdToNumSpeculativeTasks = new mutable.HashMap[Int, Int]
+    private val stageAttemptToNumSpeculativeTasks = new 
mutable.HashMap[StageAttempt, Int]
     // The speculative tasks started in each stage
 
 Review comment:
   ditto.

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