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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/09/07 02:50:45 UTC

[jira] [Commented] (SPARK-10466) UnsafeRow exception in Sort-Based Shuffle with data spill

    [ https://issues.apache.org/jira/browse/SPARK-10466?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14733178#comment-14733178 ] 

Apache Spark commented on SPARK-10466:
--------------------------------------

User 'chenghao-intel' has created a pull request for this issue:
https://github.com/apache/spark/pull/8635

> UnsafeRow exception in Sort-Based Shuffle with data spill 
> ----------------------------------------------------------
>
>                 Key: SPARK-10466
>                 URL: https://issues.apache.org/jira/browse/SPARK-10466
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>            Reporter: Cheng Hao
>            Priority: Blocker
>
> In sort-based shuffle, if we have data spill, it will cause assert exception, the follow code can reproduce that
> {code}
> withSparkConf(("spark.shuffle.sort.bypassMergeThreshold", "2")) {
>       withSQLConf(("spark.sql.autoBroadcastJoinThreshold", "0")) {
>         withTempTable("mytemp") {
>           sparkContext.parallelize(1 to 10000000, 3).map(i => (i, i)).toDF("key", "value").registerTempTable("mytemp")
>           sql("select key, value as v1 from mytemp where key > 1").registerTempTable("l")
>           sql("select key, value as v2 from mytemp where key > 3").registerTempTable("r")
>           val df3 = sql("select v1, v2 from l left join r on l.key=r.key")
>           df3.count()
>         }
>       }
>     }
> {code}
> {code}
> java.lang.AssertionError: assertion failed
> 	at scala.Predef$.assert(Predef.scala:165)
> 	at org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$2.writeKey(UnsafeRowSerializer.scala:75)
> 	at org.apache.spark.storage.DiskBlockObjectWriter.write(DiskBlockObjectWriter.scala:180)
> 	at org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$2$$anonfun$apply$1.apply(ExternalSorter.scala:688)
> 	at org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$2$$anonfun$apply$1.apply(ExternalSorter.scala:687)
> 	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> 	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> 	at org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$2.apply(ExternalSorter.scala:687)
> 	at org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$2.apply(ExternalSorter.scala:683)
> 	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> 	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> 	at org.apache.spark.util.collection.ExternalSorter.writePartitionedFile(ExternalSorter.scala:683)
> 	at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:80)
> 	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
> 	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:88)
> 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> 	at java.lang.Thread.run(Thread.java:722)
> 17:32:06.172 WARN org.apache.spark.scheduler.TaskSetManager: Lost task 1.0 in stage 1.0 (TID 4, localhost): java.lang.AssertionError: assertion failed
> 	at scala.Predef$.assert(Predef.scala:165)
> 	at org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$2.writeKey(UnsafeRowSerializer.scala:75)
> 	at org.apache.spark.storage.DiskBlockObjectWriter.write(DiskBlockObjectWriter.scala:180)
> 	at org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$2$$anonfun$apply$1.apply(ExternalSorter.scala:688)
> 	at org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$2$$anonfun$apply$1.apply(ExternalSorter.scala:687)
> 	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> 	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> 	at org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$2.apply(ExternalSorter.scala:687)
> 	at org.apache.spark.util.collection.ExternalSorter$$anonfun$writePartitionedFile$2.apply(ExternalSorter.scala:683)
> 	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> 	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> 	at org.apache.spark.util.collection.ExternalSorter.writePartitionedFile(ExternalSorter.scala:683)
> 	at org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:80)
> 	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
> 	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:88)
> 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
> 	at java.lang.Thread.run(Thread.java:722)
> {code}



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