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https://issues.apache.org/jira/browse/SPARK-24307?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Saisai Shao updated SPARK-24307:
--------------------------------
    Fix Version/s: 2.4.0

> 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
>            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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