jiangxb1987 commented on a change in pull request #28476:
URL: https://github.com/apache/spark/pull/28476#discussion_r421973578
##########
File path:
core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala
##########
@@ -688,10 +688,11 @@ private[spark] class TaskSchedulerImpl(
val errorMsg =
s"Fail resource offers for barrier stage ${taskSet.stageId}
because only " +
s"${addressesWithDescs.size} out of a total number of
${taskSet.numTasks}" +
- s" tasks got resource offers. This happens because barrier
execution currently " +
- s"does not work gracefully with delay scheduling. We highly
recommend you to " +
- s"disable delay scheduling by setting spark.locality.wait=0 as
a workaround if " +
- s"you see this error frequently."
+ s" tasks got resource offers. This could happen if delay
scheduling or " +
+ s"blacklisting is enabled, as barrier execution currently does
not work " +
+ s"gracefully with them. We highly recommend you to disable
delay scheduling " +
+ s"by setting spark.locality.wait=0 or disable blacklisting by
setting " +
+ s"spark.blacklist.enabled=false as a workaround if you see
this error frequently."
Review comment:
You might also want to check whether blacklist is actually enabled here.
##########
File path:
core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala
##########
@@ -688,10 +688,11 @@ private[spark] class TaskSchedulerImpl(
val errorMsg =
s"Fail resource offers for barrier stage ${taskSet.stageId}
because only " +
s"${addressesWithDescs.size} out of a total number of
${taskSet.numTasks}" +
- s" tasks got resource offers. This happens because barrier
execution currently " +
- s"does not work gracefully with delay scheduling. We highly
recommend you to " +
- s"disable delay scheduling by setting spark.locality.wait=0 as
a workaround if " +
- s"you see this error frequently."
+ s" tasks got resource offers. This could happen if delay
scheduling or " +
+ s"blacklisting is enabled, as barrier execution currently does
not work " +
+ s"gracefully with them. We highly recommend you to disable
delay scheduling " +
+ s"by setting spark.locality.wait=0 or disable blacklisting by
setting " +
Review comment:
+1
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