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https://issues.apache.org/jira/browse/SPARK-23350?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-23350:
------------------------------------
Assignee: Apache Spark
> [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
> Assignee: Apache Spark
> 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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