[jira] [Comment Edited] (SPARK-24578) Reading remote cache block behavior changes and causes timeout issue
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https://issues.apache.org/jira/browse/SPARK-24578?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16517532#comment-16517532
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Wenbo Zhao edited comment on SPARK-24578 at 6/19/18 8:55 PM:
-
woop, [~attilapiros], sorry, I didn't know you have created a PR.
was (Author: wbzhao):
woop, [~attilapiros], sorry, I didn't you have created a PR.
> Reading remote cache block behavior changes and causes timeout issue
>
>
> Key: SPARK-24578
> URL: https://issues.apache.org/jira/browse/SPARK-24578
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 2.3.0, 2.3.1
>Reporter: Wenbo Zhao
>Priority: Major
>
> After Spark 2.3, we observed lots of errors like the following in some of our
> production job
> {code:java}
> 18/06/15 20:59:42 ERROR TransportRequestHandler: Error sending result
> ChunkFetchSuccess{streamChunkId=StreamChunkId{streamId=91672904003,
> chunkIndex=0},
> buffer=org.apache.spark.storage.BlockManagerManagedBuffer@783a9324} to
> /172.22.18.7:60865; closing connection
> java.io.IOException: Broken pipe
> at sun.nio.ch.FileDispatcherImpl.write0(Native Method)
> at sun.nio.ch.SocketDispatcher.write(SocketDispatcher.java:47)
> at sun.nio.ch.IOUtil.writeFromNativeBuffer(IOUtil.java:93)
> at sun.nio.ch.IOUtil.write(IOUtil.java:65)
> at sun.nio.ch.SocketChannelImpl.write(SocketChannelImpl.java:471)
> at
> org.apache.spark.network.protocol.MessageWithHeader.writeNioBuffer(MessageWithHeader.java:156)
> at
> org.apache.spark.network.protocol.MessageWithHeader.copyByteBuf(MessageWithHeader.java:142)
> at
> org.apache.spark.network.protocol.MessageWithHeader.transferTo(MessageWithHeader.java:123)
> at
> io.netty.channel.socket.nio.NioSocketChannel.doWriteFileRegion(NioSocketChannel.java:355)
> at
> io.netty.channel.nio.AbstractNioByteChannel.doWrite(AbstractNioByteChannel.java:224)
> at
> io.netty.channel.socket.nio.NioSocketChannel.doWrite(NioSocketChannel.java:382)
> at
> io.netty.channel.AbstractChannel$AbstractUnsafe.flush0(AbstractChannel.java:934)
> at
> io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.flush0(AbstractNioChannel.java:362)
> at
> io.netty.channel.AbstractChannel$AbstractUnsafe.flush(AbstractChannel.java:901)
> at
> io.netty.channel.DefaultChannelPipeline$HeadContext.flush(DefaultChannelPipeline.java:1321)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeFlush0(AbstractChannelHandlerContext.java:776)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeFlush(AbstractChannelHandlerContext.java:768)
> at
> io.netty.channel.AbstractChannelHandlerContext.flush(AbstractChannelHandlerContext.java:749)
> at
> io.netty.channel.ChannelOutboundHandlerAdapter.flush(ChannelOutboundHandlerAdapter.java:115)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeFlush0(AbstractChannelHandlerContext.java:776)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeFlush(AbstractChannelHandlerContext.java:768)
> at
> io.netty.channel.AbstractChannelHandlerContext.flush(AbstractChannelHandlerContext.java:749)
> at io.netty.channel.ChannelDuplexHandler.flush(ChannelDuplexHandler.java:117)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeFlush0(AbstractChannelHandlerContext.java:776)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeFlush(AbstractChannelHandlerContext.java:768)
> at
> io.netty.channel.AbstractChannelHandlerContext.flush(AbstractChannelHandlerContext.java:749)
> at
> io.netty.channel.DefaultChannelPipeline.flush(DefaultChannelPipeline.java:983)
> at io.netty.channel.AbstractChannel.flush(AbstractChannel.java:248)
> at
> io.netty.channel.nio.AbstractNioByteChannel$1.run(AbstractNioByteChannel.java:284)
> at
> io.netty.util.concurrent.AbstractEventExecutor.safeExecute(AbstractEventExecutor.java:163)
> at
> io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:403)
> at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:463)
> at
> io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
> at
> io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
> {code}
>
> Here is a small reproducible for a small cluster of 2 executors (say host-1
> and host-2) each with 8 cores. Here, the memory of driver and executors are
> not an import factor here as long as it is big enough, say 20G.
> {code:java}
> val n = 1
> val df0 = sc.parallelize(1 to n).toDF
> val df = df0.withColumn("x0", rand()).withColumn("x0", rand()
> ).withColumn("x1", rand()
> ).withColumn("x2", rand()
> ).withColumn("x3", rand()
> ).withColumn("x4", rand()
> ).withColumn("x5", rand()
> ).withColumn("x6", rand()
> ).withColumn("x7", rand()
>
[jira] [Comment Edited] (SPARK-24578) Reading remote cache block behavior changes and causes timeout issue
[
https://issues.apache.org/jira/browse/SPARK-24578?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16515879#comment-16515879
]
Li Jin edited comment on SPARK-24578 at 6/18/18 3:24 PM:
-
cc @gatorsmile [~cloud_fan]
We found this when switching from 2.2.1 to 2.3.0 in one of our applications.
The implication is pretty bad - the time outs significantly hurt the
performance (20s to several minutes for some jobs). This could affect other
Spark 2.3 users too because it's pretty easy to reproduce.
was (Author: icexelloss):
cc @gatorsmile
We found this when switching from 2.2.1 to 2.3.0 in one of our applications.
The implication is pretty bad - the time outs significantly hurt the
performance (20s to several minutes for some jobs). This could affect other
Spark 2.3 users too because it's pretty easy to reproduce.
> Reading remote cache block behavior changes and causes timeout issue
>
>
> Key: SPARK-24578
> URL: https://issues.apache.org/jira/browse/SPARK-24578
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Affects Versions: 2.3.0, 2.3.1
>Reporter: Wenbo Zhao
>Priority: Major
>
> After Spark 2.3, we observed lots of errors like the following in some of our
> production job
> {code:java}
> 18/06/15 20:59:42 ERROR TransportRequestHandler: Error sending result
> ChunkFetchSuccess{streamChunkId=StreamChunkId{streamId=91672904003,
> chunkIndex=0},
> buffer=org.apache.spark.storage.BlockManagerManagedBuffer@783a9324} to
> /172.22.18.7:60865; closing connection
> java.io.IOException: Broken pipe
> at sun.nio.ch.FileDispatcherImpl.write0(Native Method)
> at sun.nio.ch.SocketDispatcher.write(SocketDispatcher.java:47)
> at sun.nio.ch.IOUtil.writeFromNativeBuffer(IOUtil.java:93)
> at sun.nio.ch.IOUtil.write(IOUtil.java:65)
> at sun.nio.ch.SocketChannelImpl.write(SocketChannelImpl.java:471)
> at
> org.apache.spark.network.protocol.MessageWithHeader.writeNioBuffer(MessageWithHeader.java:156)
> at
> org.apache.spark.network.protocol.MessageWithHeader.copyByteBuf(MessageWithHeader.java:142)
> at
> org.apache.spark.network.protocol.MessageWithHeader.transferTo(MessageWithHeader.java:123)
> at
> io.netty.channel.socket.nio.NioSocketChannel.doWriteFileRegion(NioSocketChannel.java:355)
> at
> io.netty.channel.nio.AbstractNioByteChannel.doWrite(AbstractNioByteChannel.java:224)
> at
> io.netty.channel.socket.nio.NioSocketChannel.doWrite(NioSocketChannel.java:382)
> at
> io.netty.channel.AbstractChannel$AbstractUnsafe.flush0(AbstractChannel.java:934)
> at
> io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.flush0(AbstractNioChannel.java:362)
> at
> io.netty.channel.AbstractChannel$AbstractUnsafe.flush(AbstractChannel.java:901)
> at
> io.netty.channel.DefaultChannelPipeline$HeadContext.flush(DefaultChannelPipeline.java:1321)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeFlush0(AbstractChannelHandlerContext.java:776)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeFlush(AbstractChannelHandlerContext.java:768)
> at
> io.netty.channel.AbstractChannelHandlerContext.flush(AbstractChannelHandlerContext.java:749)
> at
> io.netty.channel.ChannelOutboundHandlerAdapter.flush(ChannelOutboundHandlerAdapter.java:115)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeFlush0(AbstractChannelHandlerContext.java:776)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeFlush(AbstractChannelHandlerContext.java:768)
> at
> io.netty.channel.AbstractChannelHandlerContext.flush(AbstractChannelHandlerContext.java:749)
> at io.netty.channel.ChannelDuplexHandler.flush(ChannelDuplexHandler.java:117)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeFlush0(AbstractChannelHandlerContext.java:776)
> at
> io.netty.channel.AbstractChannelHandlerContext.invokeFlush(AbstractChannelHandlerContext.java:768)
> at
> io.netty.channel.AbstractChannelHandlerContext.flush(AbstractChannelHandlerContext.java:749)
> at
> io.netty.channel.DefaultChannelPipeline.flush(DefaultChannelPipeline.java:983)
> at io.netty.channel.AbstractChannel.flush(AbstractChannel.java:248)
> at
> io.netty.channel.nio.AbstractNioByteChannel$1.run(AbstractNioByteChannel.java:284)
> at
> io.netty.util.concurrent.AbstractEventExecutor.safeExecute(AbstractEventExecutor.java:163)
> at
> io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:403)
> at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:463)
> at
> io.netty.util.concurrent.SingleThreadEventExecutor$5.run(SingleThreadEventExecutor.java:858)
> at
> io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:138)
> {code}
>
> Here is a small reproducible for a small cluster of 2 executors (say host-1
>
