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Kaushal Prajapati commented on SPARK-19908: ------------------------------------------- [~bojanbabic] This error comes when your kryobuffer memory exceed default limit (64m). Increase your buffer memory using this property {noformat} spark.kryoserializer.buffer.max=64m {noformat} > 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 > > 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 -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org