Welcome to OStack Knowledge Sharing Community for programmer and developer-Open, Learning and Share
Welcome To Ask or Share your Answers For Others

Categories

0 votes
452 views
in Technique[技术] by (71.8m points)

scala - Apache Spark: network errors between executors

I'm running Apache Spark 1.3.1 on Scala 2.11.2, and when running on an HPC cluster with large enough data, I get numerous errors like the ones at the bottom of my post (repeated multiple times per second, until the job gets killed for being over time). Based on the errors, the executor is attempting to get shuffle data from other nodes but is unable to do so.

This same program executes fine with either (a) a smaller amount of data, or (b) in local-only mode, so it has something to do with the data getting sent over the network (and isn't triggered with a very small amount of data).

The code that is being executed around the time this happens is as follows:

val partitioned_data = data  // data was read as sc.textFile(inputFile)
  .zipWithIndex.map(x => (x._2, x._1))
  .partitionBy(partitioner)  // A custom partitioner
  .map(_._2)

// Force previous lazy operations to be evaluated. Presumably adds some
// overhead, but hopefully the minimum possible...
// Suggested on Spark user list: http://apache-spark-user-list.1001560.n3.nabble.com/Forcing-RDD-computation-with-something-else-than-count-td707.html
sc.runJob(partitioned_data, (iter: Iterator[_]) => {})

Is this indicative of a bug, or is there something I'm doing wrong?

Here's a small snippet of the stderr log of one of the executors (full log is here):

15/04/21 14:59:28 ERROR TransportRequestHandler: Error sending result ChunkFetchSuccess{streamChunkId=StreamChunkId{streamId=1601401593000, chunkIndex=0}, buffer=FileSegmentManagedBuffer{file=/tmp/spark-0f8d0598-b137-4d14-993a-568b2ab3709a/spark-12d5ff0a-2793-4b76-8a0b-d977a5924925/spark-7ad9382d-05cf-49d4-9a52-d42e6ca7117d/blockmgr-b72d4068-d065-47e6-8a10-867f723000db/15/shuffle_0_1_0.data, offset=26501223, length=6227612}} to /10.0.0.5:41160; closing connection
java.io.IOException: Resource temporarily unavailable
    at sun.nio.ch.FileChannelImpl.transferTo0(Native Method)
    at sun.nio.ch.FileChannelImpl.transferToDirectly(FileChannelImpl.java:415)
    at sun.nio.ch.FileChannelImpl.transferTo(FileChannelImpl.java:516)
    at org.apache.spark.network.buffer.LazyFileRegion.transferTo(LazyFileRegion.java:96)
    at org.apache.spark.network.protocol.MessageWithHeader.transferTo(MessageWithHeader.java:89)
    at io.netty.channel.socket.nio.NioSocketChannel.doWriteFileRegion(NioSocketChannel.java:237)
    at io.netty.channel.nio.AbstractNioByteChannel.doWrite(AbstractNioByteChannel.java:233)
    at io.netty.channel.socket.nio.NioSocketChannel.doWrite(NioSocketChannel.java:264)
    at io.netty.channel.AbstractChannel$AbstractUnsafe.flush0(AbstractChannel.java:707)
    at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.flush0(AbstractNioChannel.java:315)
    at io.netty.channel.AbstractChannel$AbstractUnsafe.flush(AbstractChannel.java:676)
    at io.netty.channel.DefaultChannelPipeline$HeadContext.flush(DefaultChannelPipeline.java:1059)
    at io.netty.channel.AbstractChannelHandlerContext.invokeFlush(AbstractChannelHandlerContext.java:688)
    at io.netty.channel.AbstractChannelHandlerContext.flush(AbstractChannelHandlerContext.java:669)
    at io.netty.channel.ChannelOutboundHandlerAdapter.flush(ChannelOutboundHandlerAdapter.java:115)
    at io.netty.channel.AbstractChannelHandlerContext.invokeFlush(AbstractChannelHandlerContext.java:688)
    at io.netty.channel.AbstractChannelHandlerContext.write(AbstractChannelHandlerContext.java:718)
    at io.netty.channel.AbstractChannelHandlerContext.writeAndFlush(AbstractChannelHandlerContext.java:706)
    at io.netty.channel.AbstractChannelHandlerContext.writeAndFlush(AbstractChannelHandlerContext.java:741)
    at io.netty.channel.DefaultChannelPipeline.writeAndFlush(DefaultChannelPipeline.java:895)
    at io.netty.channel.AbstractChannel.writeAndFlush(AbstractChannel.java:240)
    at org.apache.spark.network.server.TransportRequestHandler.respond(TransportRequestHandler.java:147)
    at org.apache.spark.network.server.TransportRequestHandler.processFetchRequest(TransportRequestHandler.java:119)
    at org.apache.spark.network.server.TransportRequestHandler.handle(TransportRequestHandler.java:95)
    at org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:91)
    at org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:44)
    at io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
    at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
    at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
    at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
    at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:163)
    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$2.run(SingleThreadEventExecutor.java:116)
    at java.lang.Thread.run(Thread.java:619)
15/04/21 14:59:28 ERROR TransportRequestHandler: Error sending result ChunkFetchSuccess{streamChunkId=StreamChunkId{streamId=1601401593000, chunkIndex=1}, buffer=FileSegmentManagedBuffer{file=/tmp/spark-0f8d0598-b137-4d14-993a-568b2ab3709a/spark-12d5ff0a-2793-4b76-8a0b-d977a5924925/spark-7ad9382d-05cf-49d4-9a52-d42e6ca7117d/blockmgr-b72d4068-d065-47e6-8a10-867f723000db/27/shuffle_0_5_0.data, offset=3792987, length=2862285}} to /10.0.0.5:41160; closing connection
java.nio.channels.ClosedChannelException
15/04/21 14:59:28 ERROR TransportRequestHandler: Error sending result ChunkFetchSuccess{streamChunkId=StreamChunkId{streamId=1601401593002, chunkIndex=0}, buffer=FileSegmentManagedBuffer{file=/tmp/spark-0f8d0598-b137-4d14-993a-568b2ab3709a/spark-12d5ff0a-2793-4b76-8a0b-d977a5924925/spark-7ad9382d-05cf-49d4-9a52-d42e6ca7117d/blockmgr-b72d4068-d065-47e6-8a10-867f723000db/15/shuffle_0_1_0.data, offset=0, length=10993212}} to /10.0.0.6:42426; closing connection
java.io.IOException: Resource temporarily unavailable
    at sun.nio.ch.FileChannelImpl.transferTo0(Native Method)
    at sun.nio.ch.FileChannelImpl.transferToDirectly(FileChannelImpl.java:415)
    at sun.nio.ch.FileChannelImpl.transferTo(FileChannelImpl.java:516)
    at org.apache.spark.network.buffer.LazyFileRegion.transferTo(LazyFileRegion.java:96)
    at org.apache.spark.network.protocol.MessageWithHeader.transferTo(MessageWithHeader.java:89)
    at io.netty.channel.socket.nio.NioSocketChannel.doWriteFileRegion(NioSocketChannel.java:237)
    at io.netty.channel.nio.AbstractNioByteChannel.doWrite(AbstractNioByteChannel.java:233)
    at io.netty.channel.socket.nio.NioSocketChannel.doWrite(NioSocketChannel.java:264)
    at io.netty.channel.AbstractChannel$AbstractUnsafe.flush0(AbstractChannel.java:707)
    at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.flush0(AbstractNioChannel.java:315)
    at io.netty.channel.AbstractChannel$AbstractUnsafe.flush(AbstractChannel.java:676)
    at io.netty.channel.DefaultChannelPipeline$HeadContext.flush(DefaultChannelPipeline.java:1059)
    at io.netty.channel.AbstractChannelHandlerContext.invokeFlush(AbstractChannelHandlerContext.java:688)
    at io.netty.channel.AbstractChannelHandlerContext.flush(AbstractChannelHandlerContext.java:669)
    at io.netty.channel.ChannelOutboundHandlerAdapter.flush(ChannelOutboundHandlerAdapter.java:115)
    at io.netty.channel.AbstractChannelHandlerContext.invokeFlush(AbstractChannelHandlerContext.java:688)
    at io.netty.channel.AbstractChannelHandlerContext.write(AbstractChannelHandlerContext.java:718)
    at io.netty.channel.AbstractChannelHandlerContext.writeAndFlush(AbstractChannelHandlerContext.java:706)
    at io.netty.channel.AbstractChannelHandlerContext.writeAndFlush(AbstractChannelHandlerContext.java:741)
    at io.netty.channel.DefaultChannelPipeline.writeAndFlush(DefaultChannelPipeline.java:895)
    at io.netty.channel.AbstractChannel.writeAndFlush(AbstractChannel.java:240)
    at org.apache.spark.network.server.TransportRequestHandler.respond(TransportRequestHandler.java:147)
    at org.apache.spark.network.server.TransportRequestHandler.processFetchRequest(TransportRequestHandler.java:119)
    at org.apache.spark.network.server.TransportRequestHandler.handle(TransportRequestHandler.java:95)
    at org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:91)
    at org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:44)
    at io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
    at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
    at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103)
    at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333)
    at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319)
    at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:163)
    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)
    at java.lang.Thread.run(Thread.java:619)
15/04/21 14:59:28 WARN TransportChannelHandler: Exception in connection from node5.someuniversity.edu/10.0.0.5:60089
java.io.IOException: Connection reset by peer
    at sun.nio.ch.FileDispatcher.read0(Native Method)
    at sun.nio.ch.SocketDispatcher.read(SocketDispatcher.java:21)
    at sun.nio.ch.IOUtil.readIntoNativeBuffer(IOUtil.java:233)
    at sun.nio.ch.IOUtil.read(IOUtil.java:206)
    at sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:236)
    at io.netty.buffer.PooledHeapByteBuf.setBytes(PooledHeapByteBuf.java:234)
    at io.n

与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome To Ask or Share your Answers For Others

1 Answer

0 votes
by (71.8m points)

This appears to be a bug related to the Netty networking system (block transfer service), added in Spark 1.2. Adding .set("spark.shuffle.blockTransferService", "nio") to my SparkConf fixed the bug, so now everything works perfectly.

I found a post on the spark-user mailing list from someone that was running into similar errors, and they suggested trying nio instead of Netty.

SPARK-5085 is similar, in that changing from Netty to nio fixed their issue; however, they were also able to fix the issue by changing some networking settings. (I didn't try this yet myself, since I'm not sure I have the right access privileges to do so on the cluster.)


与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…
Welcome to OStack Knowledge Sharing Community for programmer and developer-Open, Learning and Share
Click Here to Ask a Question

...