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https://issues.apache.org/jira/browse/SPARK-8644?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Imran Rashid resolved SPARK-8644.
---------------------------------
Resolution: Fixed
> SparkException thrown due to Executor exceptions should include caller site
> in stack trace
> ------------------------------------------------------------------------------------------
>
> Key: SPARK-8644
> URL: https://issues.apache.org/jira/browse/SPARK-8644
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 1.4.1
> Reporter: Aaron Davidson
> Assignee: Aaron Davidson
> Fix For: 1.5.0
>
>
> Currently when a job fails due to executor (or other) issues, the exception
> thrown by Spark has a stack trace which stops at the DAGScheduler EventLoop,
> which makes it hard to trace back to the user code which submitted the job.
> It should try to include the user submission stack trace.
> Example exception today:
> {code}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in
> stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0
> (TID 0, localhost): java.lang.RuntimeException: uh-oh!
> at
> org.apache.spark.scheduler.DAGSchedulerSuite$$anonfun$33$$anonfun$34$$anonfun$apply$mcJ$sp$1.apply(DAGSchedulerSuite.scala:851)
> at
> org.apache.spark.scheduler.DAGSchedulerSuite$$anonfun$33$$anonfun$34$$anonfun$apply$mcJ$sp$1.apply(DAGSchedulerSuite.scala:851)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1637)
> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1095)
> at org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1095)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> at org.apache.spark.scheduler.Task.run(Task.scala:70)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:744)
> Driver stacktrace:
> at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1285)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1276)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1275)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1275)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:749)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:749)
> at scala.Option.foreach(Option.scala:236)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:749)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1486)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447)
> {code}
> Here is the part I want to include:
> {code}
> at org.apache.spark.rdd.RDD.count(RDD.scala:1095)
> at
> org.apache.spark.scheduler.DAGSchedulerSuite$$anonfun$33$$anonfun$34.apply$mcJ$sp(DAGSchedulerSuite.scala:851)
> at
> org.apache.spark.scheduler.DAGSchedulerSuite$$anonfun$33$$anonfun$34.apply(DAGSchedulerSuite.scala:851)
> at
> org.apache.spark.scheduler.DAGSchedulerSuite$$anonfun$33$$anonfun$34.apply(DAGSchedulerSuite.scala:851)
> at org.scalatest.Assertions$class.intercept(Assertions.scala:997)
> at org.scalatest.FunSuite.intercept(FunSuite.scala:1555)
> at
> org.apache.spark.scheduler.DAGSchedulerSuite$$anonfun$33.apply$mcV$sp(DAGSchedulerSuite.scala:850)
> at
> org.apache.spark.scheduler.DAGSchedulerSuite$$anonfun$33.apply(DAGSchedulerSuite.scala:849)
> at
> org.apache.spark.scheduler.DAGSchedulerSuite$$anonfun$33.apply(DAGSchedulerSuite.scala:849)
> at
> org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(Transformer.scala:22)
> at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
> at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
> at org.scalatest.Transformer.apply(Transformer.scala:22)
> at org.scalatest.Transformer.apply(Transformer.scala:20)
> at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:166)
> at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:42)
> at
> org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:163)
> at
> org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
> at
> org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
> at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
> {code}
> Observe how much more useful the second one is for knowing what started the
> job.
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