squito commented on a change in pull request #19194: [SPARK-20589] Allow 
limiting task concurrency per stage
URL: https://github.com/apache/spark/pull/19194#discussion_r248838222
 
 

 ##########
 File path: core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala
 ##########
 @@ -284,10 +285,20 @@ private[spark] class ExecutorAllocationManager(
    * and pending tasks, rounded up.
    */
   private def maxNumExecutorsNeeded(): Int = {
-    val numRunningOrPendingTasks = listener.totalPendingTasks + 
listener.totalRunningTasks
-    math.ceil(numRunningOrPendingTasks * executorAllocationRatio /
+    logInfo("maxConcurrentTasks: " + maxConcurrentTasks)
+    logInfo("listener.totalPendingTasks: " + listener.totalPendingTasks)
+    logInfo("listener.totalRunningTasks: " + listener.totalRunningTasks)
+    logInfo("executorAllocationRatio: " + executorAllocationRatio)
+    logInfo("tasksPerExecutorForFullParallelism" + 
tasksPerExecutorForFullParallelism)
+    val numRunningOrPendingTasks = Math.min(listener.totalPendingTasks + 
listener.totalRunningTasks,
+      maxConcurrentTasks)
+
+    // (numRunningOrPendingTasks + tasksPerExecutor - 1) / tasksPerExecutor
+    val x = math.ceil(numRunningOrPendingTasks * executorAllocationRatio /
               tasksPerExecutorForFullParallelism)
       .toInt
+    logInfo("maxNumExecutorsNeeded: " + x)
 
 Review comment:
   this gets called somewhat frequently, can they be logDebug?

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