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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2015/09/23 20:33:04 UTC
[jira] [Resolved] (SPARK-10403) UnsafeRowSerializer can't work with
UnsafeShuffleManager (tungsten-sort)
[ https://issues.apache.org/jira/browse/SPARK-10403?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Michael Armbrust resolved SPARK-10403.
--------------------------------------
Resolution: Fixed
Fix Version/s: 1.5.1
1.6.0
Issue resolved by pull request 8873
[https://github.com/apache/spark/pull/8873]
> UnsafeRowSerializer can't work with UnsafeShuffleManager (tungsten-sort)
> ------------------------------------------------------------------------
>
> Key: SPARK-10403
> URL: https://issues.apache.org/jira/browse/SPARK-10403
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Davies Liu
> Assignee: Josh Rosen
> Fix For: 1.6.0, 1.5.1
>
>
> UnsafeRowSerializer reply on EOF in the stream, but UnsafeRowWriter will not write EOF between partitions.
> {code}
> java.io.EOFException
> at java.io.DataInputStream.readInt(DataInputStream.java:392)
> at org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$3$$anon$1.next(UnsafeRowSerializer.scala:122)
> at org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$3$$anon$1.next(UnsafeRowSerializer.scala:110)
> at scala.collection.Iterator$$anon$13.next(Iterator.scala:372)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at org.apache.spark.util.CompletionIterator.next(CompletionIterator.scala:30)
> at org.apache.spark.InterruptibleIterator.next(InterruptibleIterator.scala:43)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:174)
> at org.apache.spark.sql.execution.TungstenSort.org$apache$spark$sql$execution$TungstenSort$$executePartition$1(sort.scala:160)
> at org.apache.spark.sql.execution.TungstenSort$$anonfun$doExecute$4.apply(sort.scala:169)
> at org.apache.spark.sql.execution.TungstenSort$$anonfun$doExecute$4.apply(sort.scala:169)
> at org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:64)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:99)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:88)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> {code}
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