Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/4147#discussion_r23978147
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/local/LocalBackend.scala ---
@@ -74,10 +77,20 @@ private[spark] class LocalActor(
def reviveOffers() {
val offers = Seq(new WorkerOffer(localExecutorId,
localExecutorHostname, freeCores))
- for (task <- scheduler.resourceOffers(offers).flatten) {
- freeCores -= scheduler.CPUS_PER_TASK
- executor.launchTask(executorBackend, taskId = task.taskId,
attemptNumber = task.attemptNumber,
- task.name, task.serializedTask)
+ val tasks = scheduler.resourceOffers(offers).flatten
+ if (tasks.nonEmpty) {
+ for (task <- tasks) {
+ freeCores -= scheduler.CPUS_PER_TASK
+ executor.launchTask(executorBackend, taskId = task.taskId,
+ attemptNumber = task.attemptNumber, task.name,
task.serializedTask)
+ }
+ } else if (scheduler.activeTaskSets.nonEmpty) {
+ // Try to reviveOffer after 1 second, because scheduler may wait for
locality timeout
+ timer.schedule(new TimerTask {
+ override def run(): Unit = {
+ reviveOffers()
--- End diff --
For thread-safety reasons, I think we should have this send a
`ReviveOffers` message to the actor rather than calling `reviveOffers`
directly. Akka actually has a pretty nice way to handle this type of pattern
by scheduling messages to be sent after a delay; this uses the ActorSystem's
scheduler, so we wouldn't have to create our own timer. Here's an example
usage of `scheduleOnce` for this, from `Master.scala`:
https://github.com/apache/spark/blob/v1.2.1-rc3/core/src/main/scala/org/apache/spark/deploy/master/Master.scala#L186
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