squito commented on a change in pull request #24817: [SPARK-27963][core] Allow
dynamic allocation without a shuffle service.
URL: https://github.com/apache/spark/pull/24817#discussion_r298260839
##########
File path:
core/src/main/scala/org/apache/spark/scheduler/dynalloc/ExecutorMonitor.scala
##########
@@ -124,6 +149,98 @@ private[spark] class ExecutorMonitor(
def pendingRemovalCount: Int = executors.asScala.count { case (_, exec) =>
exec.pendingRemoval }
+ override def onJobStart(event: SparkListenerJobStart): Unit = {
+ if (!shuffleTrackingEnabled) {
+ return
+ }
+
+ val shuffleStages = event.stageInfos.flatMap { s =>
+ s.shuffleDepId.toSeq.map { shuffleId =>
+ s.stageId -> shuffleId
+ }
+ }
+
+ var updateExecutors = false
+ shuffleStages.foreach { case (stageId, shuffle) =>
+ val jobIDs = shuffleToActiveJobs.get(shuffle) match {
+ case Some(jobs) =>
+ // If a shuffle is being re-used, we need to re-scan the executors
and update their
+ // tracker with the information that the shuffle data they're
storing is in use.
+ logDebug(s"Reusing shuffle $shuffle in job ${event.jobId}.")
+ updateExecutors = true
+ jobs
+
+ case _ =>
+ logDebug(s"Registered new shuffle $shuffle (from stage $stageId).")
+ val jobs = new mutable.ArrayBuffer[Int]()
+ shuffleToActiveJobs(shuffle) = jobs
+ jobs
+ }
+ jobIDs += event.jobId
+ }
+
+ if (updateExecutors) {
+ val activeShuffleIds = shuffleStages.map(_._2).toSeq
+ var needTimeoutUpdate = false
+ executors.asScala.foreach { case (id, exec) =>
+ if (!exec.hasActiveShuffle) {
+ exec.updateActiveShuffles(activeShuffleIds)
+ if (exec.hasActiveShuffle) {
+ logDebug(s"Executor $id has data needed by new active job.")
Review comment:
Just a thought: I'm imagining dealing with debugging this down the road, and
I might be hesitant to turn on debug logging b/c of how many times this will
get logged. You could build up the list of execs, and then combine it into one
log line after going through the log line with all the exec ids.
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