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https://issues.apache.org/jira/browse/SPARK-23350?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wang Yanlin updated SPARK-23350:
--------------------------------
    Attachment:     (was: TaskScheduler_stop.png)

> [SS]Exception when stopping continuous processing application
> -------------------------------------------------------------
>
>                 Key: SPARK-23350
>                 URL: https://issues.apache.org/jira/browse/SPARK-23350
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.0
>            Reporter: Wang Yanlin
>            Priority: Major
>
> SparkException happends when stopping continuous processing application, 
> using Ctrl-C in stand-alone mode.
> 18/02/02 16:12:57 ERROR ContinuousExecution: Query yanlin-CP-job [id = 
> 007f1f44-771a-4097-aaa3-28ae35c16dd9, runId = 
> 3e1ab7c1-4d6f-475a-9d2c-45577643b0dd] terminated with error
> org.apache.spark.SparkException: Writing job failed.
>       at 
> org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec.doExecute(WriteToDataSourceV2.scala:105)
>       at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
>       at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
>       at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
>       at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>       at 
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
>       at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
>       at 
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
>       at 
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
>       at 
> org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$3$$anonfun$apply$1.apply(ContinuousExecution.scala:268)
>       at 
> org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$3$$anonfun$apply$1.apply(ContinuousExecution.scala:268)
>       at 
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
>       at 
> org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$3.apply(ContinuousExecution.scala:268)
>       at 
> org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution$$anonfun$runContinuous$3.apply(ContinuousExecution.scala:268)
>       at 
> org.apache.spark.sql.execution.streaming.ProgressReporter$class.reportTimeTaken(ProgressReporter.scala:271)
>       at 
> org.apache.spark.sql.execution.streaming.StreamExecution.reportTimeTaken(StreamExecution.scala:58)
>       at 
> org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runContinuous(ContinuousExecution.scala:266)
>       at 
> org.apache.spark.sql.execution.streaming.continuous.ContinuousExecution.runActivatedStream(ContinuousExecution.scala:90)
>       at 
> org.apache.spark.sql.execution.streaming.StreamExecution.org$apache$spark$sql$execution$streaming$StreamExecution$$runStream(StreamExecution.scala:279)
>       at 
> org.apache.spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:189)
> Caused by: org.apache.spark.SparkException: Job 0 cancelled because 
> SparkContext was shut down
>       at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$cleanUpAfterSchedulerStop$1.apply(DAGScheduler.scala:837)
>       at 
> org.apache.spark.scheduler.DAGScheduler$$anonfun$cleanUpAfterSchedulerStop$1.apply(DAGScheduler.scala:835)
>       at scala.collection.mutable.HashSet.foreach(HashSet.scala:78)
>       at 
> org.apache.spark.scheduler.DAGScheduler.cleanUpAfterSchedulerStop(DAGScheduler.scala:835)
>       at 
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onStop(DAGScheduler.scala:1831)
>       at org.apache.spark.util.EventLoop.stop(EventLoop.scala:83)
>       at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:1743)
>       at 
> org.apache.spark.SparkContext$$anonfun$stop$8.apply$mcV$sp(SparkContext.scala:1924)
>       at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:1357)
>       at org.apache.spark.SparkContext.stop(SparkContext.scala:1923)
>       at 
> org.apache.spark.SparkContext$$anonfun$2.apply$mcV$sp(SparkContext.scala:572)
>       at 
> org.apache.spark.util.SparkShutdownHook.run(ShutdownHookManager.scala:216)
>       at 
> org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ShutdownHookManager.scala:188)
>       at 
> org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(ShutdownHookManager.scala:188)
>       at 
> org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1$$anonfun$apply$mcV$sp$1.apply(ShutdownHookManager.scala:188)
>       at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1988)
>       at 
> org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply$mcV$sp(ShutdownHookManager.scala:188)
>       at 
> org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(ShutdownHookManager.scala:188)
>       at 
> org.apache.spark.util.SparkShutdownHookManager$$anonfun$runAll$1.apply(ShutdownHookManager.scala:188)
>       at scala.util.Try$.apply(Try.scala:192)
>       at 
> org.apache.spark.util.SparkShutdownHookManager.runAll(ShutdownHookManager.scala:188)
>       at 
> org.apache.spark.util.SparkShutdownHookManager$$anon$2.run(ShutdownHookManager.scala:178)
>       at 
> org.apache.hadoop.util.ShutdownHookManager$1.run(ShutdownHookManager.java:54)
>       at 
> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
>       at org.apache.spark.SparkContext.runJob(SparkContext.scala:2027)
>       at 
> org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec.doExecute(WriteToDataSourceV2.scala:79)
>       ... 19 more
>       Suppressed: java.lang.UnsupportedOperationException: Abort without 
> epoch should not be called with StreamWriter
>               at 
> org.apache.spark.sql.sources.v2.streaming.writer.StreamWriter.abort(StreamWriter.java:69)
>               at 
> org.apache.spark.sql.execution.datasources.v2.WriteToDataSourceV2Exec.doExecute(WriteToDataSourceV2.scala:100)
>               ... 19 more
> 18/02/02 16:12:57 INFO MapOutputTrackerMasterEndpoint: 
> MapOutputTrackerMasterEndpoint stopped!



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