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https://issues.apache.org/jira/browse/SPARK-8644?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14630645#comment-14630645
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Aaron Davidson commented on SPARK-8644:
---------------------------------------
These are actually complementary. SPARK-8625 makes sure the Executor exception
is properly preserved, but that exception may not include user code either (or
may not help indicate which driver code caused the job). Now we will properly
include all relevant stacks.
> 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
>
> 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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