[SPARK-5928] Remote Shuffle Blocks cannot be more than 2 GB

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Duplicate
• Component/s: Spark Core
• Assignee: Unassigned
• Reporter: Imran Rashid
• Created: 20/Feb/15 20:53
• Updated: 16/May/18 18:46
• Resolved: 16/May/18 18:46

Description

If a shuffle block is over 2GB, the shuffle fails, with an uninformative exception. The tasks get retried a few times and then eventually the job fails.

Here is an example program which can cause the exception:

    val rdd = sc.parallelize(1 to 1e6.toInt, 1).map{ ignore =>
      val n = 3e3.toInt
      val arr = new Array[Byte](n)
      //need to make sure the array doesn't compress to something small
      scala.util.Random.nextBytes(arr)
      arr
    }
    rdd.map { x => (1, x)}.groupByKey().count()

Note that you can't trigger this exception in local mode, it only happens on remote fetches. I triggered these exceptions running with MASTER=yarn-client spark-shell --num-executors 2 --executor-memory 4000m

15/02/20 11:10:23 WARN TaskSetManager: Lost task 0.0 in stage 3.0 (TID 3, imran-3.ent.cloudera.com): FetchFailed(BlockManagerId(1, imran-2.ent.cloudera.com, 55028), shuffleId=1, mapId=0, reduceId=0, message=
org.apache.spark.shuffle.FetchFailedException: Adjusted frame length exceeds 2147483647: 3021252889 - discarded
	at org.apache.spark.shuffle.hash.BlockStoreShuffleFetcher$.org$apache$spark$shuffle$hash$BlockStoreShuffleFetcher$$unpackBlock$1(BlockStoreShuffleFetcher.scala:67)
	at org.apache.spark.shuffle.hash.BlockStoreShuffleFetcher$$anonfun$3.apply(BlockStoreShuffleFetcher.scala:83)
	at org.apache.spark.shuffle.hash.BlockStoreShuffleFetcher$$anonfun$3.apply(BlockStoreShuffleFetcher.scala:83)
	at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
	at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
	at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
	at org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:125)
	at org.apache.spark.Aggregator.combineValuesByKey(Aggregator.scala:58)
	at org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:46)
	at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:92)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
	at org.apache.spark.scheduler.Task.run(Task.scala:56)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
	at java.lang.Thread.run(Thread.java:745)
Caused by: io.netty.handler.codec.TooLongFrameException: Adjusted frame length exceeds 2147483647: 3021252889 - discarded
	at io.netty.handler.codec.LengthFieldBasedFrameDecoder.fail(LengthFieldBasedFrameDecoder.java:501)
	at io.netty.handler.codec.LengthFieldBasedFrameDecoder.failIfNecessary(LengthFieldBasedFrameDecoder.java:477)
	at io.netty.handler.codec.LengthFieldBasedFrameDecoder.decode(LengthFieldBasedFrameDecoder.java:403)
	at io.netty.handler.codec.LengthFieldBasedFrameDecoder.decode(LengthFieldBasedFrameDecoder.java:343)
	at io.netty.handler.codec.ByteToMessageDecoder.callDecode(ByteToMessageDecoder.java:249)
	at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:149)
	at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
	at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
	at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:787)
	at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:130)
	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:116)
	... 1 more

)

or if you use "spark.shuffle.blockTransferService=nio", then you get:

15/02/20 12:48:07 WARN TaskSetManager: Lost task 0.0 in stage 1.0 (TID 1, imran-2.ent.cloudera.com): FetchFailed(BlockManagerId(2, imran-3.ent.cloudera.com, 42827), shuffleId=0, mapId=0, reduceId=0, message=
org.apache.spark.shuffle.FetchFailedException: sendMessageReliably failed with ACK that signalled a remote error: java.lang.IllegalArgumentException: Size exceeds Integer.MAX_VALUE
	at sun.nio.ch.FileChannelImpl.map(FileChannelImpl.java:828)
	at org.apache.spark.network.buffer.FileSegmentManagedBuffer.nioByteBuffer(FileSegmentManagedBuffer.java:76)
	at org.apache.spark.network.nio.NioBlockTransferService.getBlock(NioBlockTransferService.scala:215)
	at org.apache.spark.network.nio.NioBlockTransferService.org$apache$spark$network$nio$NioBlockTransferService$$processBlockMessage(NioBlockTransferService.scala:191)
	at org.apache.spark.network.nio.NioBlockTransferService$$anonfun$2.apply(NioBlockTransferService.scala:165)
	at org.apache.spark.network.nio.NioBlockTransferService$$anonfun$2.apply(NioBlockTransferService.scala:165)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
	at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
	at org.apache.spark.network.nio.BlockMessageArray.foreach(BlockMessageArray.scala:28)
	at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
	at org.apache.spark.network.nio.BlockMessageArray.map(BlockMessageArray.scala:28)
	at org.apache.spark.network.nio.NioBlockTransferService.org$apache$spark$network$nio$NioBlockTransferService$$onBlockMessageReceive(NioBlockTransferService.scala:165)
	at org.apache.spark.network.nio.NioBlockTransferService$$anonfun$init$1.apply(NioBlockTransferService.scala:70)
	at org.apache.spark.network.nio.NioBlockTransferService$$anonfun$init$1.apply(NioBlockTransferService.scala:70)
	at org.apache.spark.network.nio.ConnectionManager.org$apache$spark$network$nio$ConnectionManager$$handleMessage(ConnectionManager.scala:750)
	at org.apache.spark.network.nio.ConnectionManager$$anon$12.run(ConnectionManager.scala:581)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
	at java.lang.Thread.run(Thread.java:745)

	at org.apache.spark.shuffle.hash.BlockStoreShuffleFetcher$.org$apache$spark$shuffle$hash$BlockStoreShuffleFetcher$$unpackBlock$1(BlockStoreShuffleFetcher.scala:67)
	at org.apache.spark.shuffle.hash.BlockStoreShuffleFetcher$$anonfun$3.apply(BlockStoreShuffleFetcher.scala:83)
	at org.apache.spark.shuffle.hash.BlockStoreShuffleFetcher$$anonfun$3.apply(BlockStoreShuffleFetcher.scala:83)
	at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
	at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
	at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
	at org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:125)
	at org.apache.spark.Aggregator.combineValuesByKey(Aggregator.scala:58)
	at org.apache.spark.shuffle.hash.HashShuffleReader.read(HashShuffleReader.scala:46)
	at org.apache.spark.rdd.ShuffledRDD.compute(ShuffledRDD.scala:92)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
	at org.apache.spark.scheduler.Task.run(Task.scala:56)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
	at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: sendMessageReliably failed with ACK that signalled a remote error: java.lang.IllegalArgumentException: Size exceeds Integer.MAX_VALUE
	at sun.nio.ch.FileChannelImpl.map(FileChannelImpl.java:828)
	at org.apache.spark.network.buffer.FileSegmentManagedBuffer.nioByteBuffer(FileSegmentManagedBuffer.java:76)
	at org.apache.spark.network.nio.NioBlockTransferService.getBlock(NioBlockTransferService.scala:215)
	at org.apache.spark.network.nio.NioBlockTransferService.org$apache$spark$network$nio$NioBlockTransferService$$processBlockMessage(NioBlockTransferService.scala:191)
	at org.apache.spark.network.nio.NioBlockTransferService$$anonfun$2.apply(NioBlockTransferService.scala:165)
	at org.apache.spark.network.nio.NioBlockTransferService$$anonfun$2.apply(NioBlockTransferService.scala:165)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
	at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
	at org.apache.spark.network.nio.BlockMessageArray.foreach(BlockMessageArray.scala:28)
	at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
	at org.apache.spark.network.nio.BlockMessageArray.map(BlockMessageArray.scala:28)
	at org.apache.spark.network.nio.NioBlockTransferService.org$apache$spark$network$nio$NioBlockTransferService$$onBlockMessageReceive(NioBlockTransferService.scala:165)
	at org.apache.spark.network.nio.NioBlockTransferService$$anonfun$init$1.apply(NioBlockTransferService.scala:70)
	at org.apache.spark.network.nio.NioBlockTransferService$$anonfun$init$1.apply(NioBlockTransferService.scala:70)
	at org.apache.spark.network.nio.ConnectionManager.org$apache$spark$network$nio$ConnectionManager$$handleMessage(ConnectionManager.scala:750)
	at org.apache.spark.network.nio.ConnectionManager$$anon$12.run(ConnectionManager.scala:581)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
	at java.lang.Thread.run(Thread.java:745)

	at org.apache.spark.network.nio.ConnectionManager$$anonfun$14.apply(ConnectionManager.scala:954)
	at org.apache.spark.network.nio.ConnectionManager$$anonfun$14.apply(ConnectionManager.scala:940)
	at org.apache.spark.network.nio.ConnectionManager$MessageStatus.success(ConnectionManager.scala:67)
	at org.apache.spark.network.nio.ConnectionManager.org$apache$spark$network$nio$ConnectionManager$$handleMessage(ConnectionManager.scala:728)
	at org.apache.spark.network.nio.ConnectionManager$$anon$12.run(ConnectionManager.scala:581)
	... 3 more

)

Issue Links

• duplicates: SPARK-6238 Support shuffle where individual blocks might be > 2G
• is duplicated by: SPARK-20308 org.apache.spark.shuffle.FetchFailedException: Too large frame
• is duplicated by: SPARK-5739 Size exceeds Integer.MAX_VALUE in File Map
• is required by: SPARK-1476 2GB limit in spark for blocks
• relates to: SPARK-6190 create LargeByteBuffer abstraction for eliminating 2GB limit on blocks
• links to: [Github] Pull Request #14658 (witgo)