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Date: Fri, 3 Mar 2017 11:35:45 +0000 (UTC)
From: "Genmao Yu (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.13047942.1488530344000.53812.1488540945412@Atlassian.JIRA>
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Subject: [jira] [Comment Edited] (SPARK-19807) Add reason for cancellation
 when a stage is killed using web UI
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archived-at: Fri, 03 Mar 2017 11:36:09 -0000


    [ https://issues.apache.org/jira/browse/SPARK-19807?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15894185#comment-15894185 ] 

Genmao Yu edited comment on SPARK-19807 at 3/3/17 11:35 AM:
------------------------------------------------------------

!https://cloud.githubusercontent.com/assets/7402327/23549702/6a0c93f6-0048-11e7-8a3f-bf58befb887b.png!

Do you mean the "Job 0 cancelled" in picture?


was (Author: unclegen):
!https://cloud.githubusercontent.com/assets/7402327/23549478/70888646-0047-11e7-8e2c-e64a3db43711.png!

Do you mean the "Job 0 cancelled" in picture?

> Add reason for cancellation when a stage is killed using web UI
> ---------------------------------------------------------------
>
>                 Key: SPARK-19807
>                 URL: https://issues.apache.org/jira/browse/SPARK-19807
>             Project: Spark
>          Issue Type: Improvement
>          Components: Web UI
>    Affects Versions: 2.1.0
>            Reporter: Jacek Laskowski
>            Priority: Trivial
>
> When a user kills a stage using web UI (in Stages page), {{StagesTab.handleKillRequest}} requests {{SparkContext}} to cancel the stage without giving a reason. {{SparkContext}} has {{cancelStage(stageId: Int, reason: String)}} that Spark could use to pass the information for monitoring/debugging purposes.
> {code}
> scala> sc.range(0, 5, 1, 1).mapPartitions { nums => { Thread.sleep(60 * 1000); nums } }.count
> {code}
> Use http://localhost:4040/stages/ and click Kill.
> {code}
> org.apache.spark.SparkException: Job 0 cancelled because Stage 0 was cancelled
>   at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1486)
>   at org.apache.spark.scheduler.DAGScheduler.handleJobCancellation(DAGScheduler.scala:1426)
>   at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleStageCancellation$1.apply$mcVI$sp(DAGScheduler.scala:1415)
>   at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleStageCancellation$1.apply(DAGScheduler.scala:1408)
>   at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleStageCancellation$1.apply(DAGScheduler.scala:1408)
>   at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
>   at scala.collection.mutable.ArrayOps$ofInt.foreach(ArrayOps.scala:234)
>   at org.apache.spark.scheduler.DAGScheduler.handleStageCancellation(DAGScheduler.scala:1408)
>   at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1670)
>   at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1656)
>   at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1645)
>   at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
>   at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
>   at org.apache.spark.SparkContext.runJob(SparkContext.scala:2019)
>   at org.apache.spark.SparkContext.runJob(SparkContext.scala:2040)
>   at org.apache.spark.SparkContext.runJob(SparkContext.scala:2059)
>   at org.apache.spark.SparkContext.runJob(SparkContext.scala:2084)
>   at org.apache.spark.rdd.RDD.count(RDD.scala:1158)
>   ... 48 elided
> {code}


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