Github user sryza commented on a diff in the pull request:
https://github.com/apache/spark/pull/5292#discussion_r27589374
--- Diff:
yarn/src/main/scala/org/apache/spark/scheduler/cluster/YarnClientSchedulerBackend.scala
---
@@ -125,6 +125,7 @@ private[spark] class YarnClientSchedulerBackend(
*/
private def asyncMonitorApplication(): Unit = {
assert(client != null && appId != null, "Application has not been
submitted yet!")
+ val interval = conf.getLong("spark.yarn.client.progress.pollinterval",
1000)
--- End diff --
My main concern is that we don't really have a notion of "progress" in
Spark on YARN. In MapReduce, progress traditionally referred to how far along
the app was, but Spark doesn't provide a similar notion. YARN itself does have
a notion of app progress, which is not related to what's here.
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