pgandhi999 commented on a change in pull request #23677:
[SPARK-26755][SCHEDULER] : Optimize Spark Scheduler to dequeue speculative
tasks…
URL: https://github.com/apache/spark/pull/23677#discussion_r301180833
##########
File path: core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala
##########
@@ -246,85 +236,86 @@ private[spark] class TaskSetManager(
/** Add a task to all the pending-task lists that it should be on. */
private[spark] def addPendingTask(
index: Int,
- resolveRacks: Boolean = true): Unit = {
- for (loc <- tasks(index).preferredLocations) {
- loc match {
- case e: ExecutorCacheTaskLocation =>
- pendingTasksForExecutor.getOrElseUpdate(e.executorId, new
ArrayBuffer) += index
- case e: HDFSCacheTaskLocation =>
- val exe = sched.getExecutorsAliveOnHost(loc.host)
- exe match {
- case Some(set) =>
- for (e <- set) {
- pendingTasksForExecutor.getOrElseUpdate(e, new ArrayBuffer) +=
index
- }
- logInfo(s"Pending task $index has a cached location at ${e.host}
" +
- ", where there are executors " + set.mkString(","))
- case None => logDebug(s"Pending task $index has a cached location
at ${e.host} " +
- ", but there are no executors alive there.")
- }
- case _ =>
+ resolveRacks: Boolean = true,
+ speculative: Boolean = false): Unit = {
+ if (speculative) {
Review comment:
Done
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