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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:15:27 UTC

[jira] [Resolved] (SPARK-19908) Direct buffer memory OOM should not cause stage retries.

     [ https://issues.apache.org/jira/browse/SPARK-19908?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-19908.
----------------------------------
    Resolution: Incomplete

> Direct buffer memory OOM should not cause stage retries.
> --------------------------------------------------------
>
>                 Key: SPARK-19908
>                 URL: https://issues.apache.org/jira/browse/SPARK-19908
>             Project: Spark
>          Issue Type: Bug
>          Components: Shuffle
>    Affects Versions: 2.1.0
>            Reporter: Zhan Zhang
>            Priority: Minor
>              Labels: bulk-closed
>
> Currently if there is  java.lang.OutOfMemoryError: Direct buffer memory, the exception will be changed to FetchFailedException, causing stage retries.
> org.apache.spark.shuffle.FetchFailedException: Direct buffer memory
> 	at org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:357)
> 	at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:332)
> 	at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:54)
> 	at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
> 	at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
> 	at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
> 	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> 	at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
> 	at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:40)
> 	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> 	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.sort_addToSorter$(Unknown Source)
> 	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
> 	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> 	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
> 	at org.apache.spark.sql.execution.RowIteratorFromScala.advanceNext(RowIterator.scala:83)
> 	at org.apache.spark.sql.execution.joins.SortMergeJoinScanner.advancedStreamed(SortMergeJoinExec.scala:731)
> 	at org.apache.spark.sql.execution.joins.SortMergeJoinScanner.findNextOuterJoinRows(SortMergeJoinExec.scala:692)
> 	at org.apache.spark.sql.execution.joins.OneSideOuterIterator.advanceStream(SortMergeJoinExec.scala:854)
> 	at org.apache.spark.sql.execution.joins.OneSideOuterIterator.advanceNext(SortMergeJoinExec.scala:887)
> 	at org.apache.spark.sql.execution.RowIteratorToScala.hasNext(RowIterator.scala:68)
> 	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
> 	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> 	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
> 	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> 	at org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:161)
> 	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
> 	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:86)
> 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:278)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> 	at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.OutOfMemoryError: Direct buffer memory
> 	at java.nio.Bits.reserveMemory(Bits.java:658)
> 	at java.nio.DirectByteBuffer.<init>(DirectByteBuffer.java:123)
> 	at java.nio.ByteBuffer.allocateDirect(ByteBuffer.java:311)
> 	at io.netty.buffer.PoolArena$DirectArena.newChunk(PoolArena.java:645)
> 	at io.netty.buffer.PoolArena.allocateNormal(PoolArena.java:228)
> 	at io.netty.buffer.PoolArena.allocate(PoolArena.java:212)
> 	at io.netty.buffer.PoolArena.allocate(PoolArena.java:132)
> 	at io.netty.buffer.PooledByteBufAllocator.newDirectBuffer(PooledByteBufAllocator.java:271)
> 	at io.netty.buffer.AbstractByteBufAllocator.directBuffer(AbstractByteBufAllocator.java:155)
> 	at io.netty.buffer.AbstractByteBufAllocator.directBuffer(AbstractByteBufAllocator.java:146)
> 	at io.netty.buffer.AbstractByteBufAllocator.ioBuffer(AbstractByteBufAllocator.java:107)
> 	at io.netty.channel.AdaptiveRecvByteBufAllocator$HandleImpl.allocate(AdaptiveRecvByteBufAllocator.java:104)
> 	at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:117)
> 	at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511)
> 	at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
> 	at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
> 	at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
> 	at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
> 	... 1 more



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