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Posted to issues@spark.apache.org by "Saisai Shao (JIRA)" <ji...@apache.org> on 2018/07/20 03:19:00 UTC
[jira] [Resolved] (SPARK-24307) Support sending messages over 2GB
from memory
[ https://issues.apache.org/jira/browse/SPARK-24307?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Saisai Shao resolved SPARK-24307.
---------------------------------
Resolution: Fixed
Assignee: Imran Rashid
> Support sending messages over 2GB from memory
> ---------------------------------------------
>
> Key: SPARK-24307
> URL: https://issues.apache.org/jira/browse/SPARK-24307
> Project: Spark
> Issue Type: Sub-task
> Components: Block Manager, Spark Core
> Affects Versions: 2.3.0
> Reporter: Imran Rashid
> Assignee: Imran Rashid
> Priority: Major
> Fix For: 2.4.0
>
>
> Spark's networking layer supports sending messages backed by a {{FileRegion}} or a {{ByteBuf}}. Sending large FileRegion's works, as netty supports large FileRegions. However, {{ByteBuf}} is limited to 2GB. This is particularly a problem for sending large datasets that are already in memory, eg. cached RDD blocks.
> eg. if you try to replicate a block stored in memory that is over 2 GB, you will see an exception like:
> {noformat}
> 18/05/16 12:40:57 ERROR client.TransportClient: Failed to send RPC 7420542363232096629 to xyz.com/172.31.113.213:44358: io.netty.handler.codec.EncoderException: java.lang.IndexOutOfBoundsException: readerIndex: 0, writerIndex: -1294617291 (expected: 0 <= readerIndex <= writerIndex <= capacity(-1294617291))
> io.netty.handler.codec.EncoderException: java.lang.IndexOutOfBoundsException: readerIndex: 0, writerIndex: -1294617291 (expected: 0 <= readerIndex <= writerIndex <= capacity(-1294617291))
> at io.netty.handler.codec.MessageToMessageEncoder.write(MessageToMessageEncoder.java:106)
> at io.netty.channel.AbstractChannelHandlerContext.invokeWrite0(AbstractChannelHandlerContext.java:738)
> at io.netty.channel.AbstractChannelHandlerContext.invokeWrite(AbstractChannelHandlerContext.java:730)
> at io.netty.channel.AbstractChannelHandlerContext.write(AbstractChannelHandlerContext.java:816)
> at io.netty.channel.AbstractChannelHandlerContext.write(AbstractChannelHandlerContext.java:723)
> at io.netty.handler.timeout.IdleStateHandler.write(IdleStateHandler.java:302)
> at io.netty.channel.AbstractChannelHandlerContext.invokeWrite0(AbstractChannelHandlerContext.java:738)
> at io.netty.channel.AbstractChannelHandlerContext.invokeWrite(AbstractChannelHandlerContext.java:730)
> at io.netty.channel.AbstractChannelHandlerContext.access$1900(AbstractChannelHandlerContext.java:38)
> at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.write(AbstractChannelHandlerContext.java:1081)
> at io.netty.channel.AbstractChannelHandlerContext$WriteAndFlushTask.write(AbstractChannelHandlerContext.java:1128)
> at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.run(AbstractChannelHandlerContext.java:1070)
> 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)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.lang.IndexOutOfBoundsException: readerIndex: 0, writerIndex: -1294617291 (expected: 0 <= readerIndex <= writerIndex <= capacity(-1294617291))
> at io.netty.buffer.AbstractByteBuf.setIndex(AbstractByteBuf.java:129)
> at io.netty.buffer.CompositeByteBuf.setIndex(CompositeByteBuf.java:1688)
> at io.netty.buffer.CompositeByteBuf.<init>(CompositeByteBuf.java:110)
> at io.netty.buffer.Unpooled.wrappedBuffer(Unpooled.java:359)
> at org.apache.spark.util.io.ChunkedByteBuffer.toNetty(ChunkedByteBuffer.scala:87)
> at org.apache.spark.storage.ByteBufferBlockData.toNetty(BlockManager.scala:95)
> at org.apache.spark.storage.BlockManagerManagedBuffer.convertToNetty(BlockManagerManagedBuffer.scala:52)
> at org.apache.spark.network.protocol.MessageEncoder.encode(MessageEncoder.java:58)
> at org.apache.spark.network.protocol.MessageEncoder.encode(MessageEncoder.java:33)
> at io.netty.handler.codec.MessageToMessageEncoder.write(MessageToMessageEncoder.java:88)
> ... 17 more
> {noformat}
> A simple solution to this is to create a "FileRegion" which is backed by a {{ChunkedByteBuffer}} (spark's existing datastructure to support blocks > 2GB in memory).
> A drawback to this approach is that blocks that are cached in memory as deserialized values would need to have the *entire* block serialized into memory before it can be pushed. However, that would involve a larger change to the block manager as well, and is not strictly necessary, so can be handled separately as a performance improvement.
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