spark-reviews mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From GitBox <...@apache.org>
Subject [GitHub] [spark] jiangxb1987 commented on a change in pull request #27002: [SPARK-30346][CORE]Improve logging when events dropped
Date Fri, 14 Feb 2020 01:13:49 GMT
jiangxb1987 commented on a change in pull request #27002: [SPARK-30346][CORE]Improve logging
when events dropped
URL: https://github.com/apache/spark/pull/27002#discussion_r379206377
 
 

 ##########
 File path: core/src/main/scala/org/apache/spark/scheduler/AsyncEventQueue.scala
 ##########
 @@ -167,20 +170,29 @@ private class AsyncEventQueue(
     }
     logTrace(s"Dropping event $event")
 
-    val droppedCount = droppedEventsCounter.get
+    val droppedCount = droppedEventsCounter.get - lastDroppedEventsCounter
+    val lastReportTime = lastReportTimestamp.get
+    val curTime = System.currentTimeMillis()
     if (droppedCount > 0) {
       // Don't log too frequently
-      if (System.currentTimeMillis() - lastReportTimestamp >= 60 * 1000) {
-        // There may be multiple threads trying to decrease droppedEventsCounter.
-        // Use "compareAndSet" to make sure only one thread can win.
-        // And if another thread is increasing droppedEventsCounter, "compareAndSet" will
fail and
-        // then that thread will update it.
-        if (droppedEventsCounter.compareAndSet(droppedCount, 0)) {
 
 Review comment:
   Can we just remove this check and use `droppedEventsCounter.getAndSet()` instead?

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services

---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org


Mime
View raw message