# Size exceed s Integer.MAX\_VALUE
**URL:** https://discuss.elastic.co/t/size-exceed-s-integer-max-value/31481
**Category:** Elasticsearch
**Tags:** es-hadoop
**Created:** [October 1, 2015, 2:08pm UTC](https://discuss.elastic.co/t/size-exceed-s-integer-max-value/31481 "2015-10-01T14:08:21Z")
**Posts on this page:** 7
**Page:** 1
### Author:  [@Philip\_K\_Adetiloye](https://discuss.elastic.co/u/Philip_K_Adetiloye)
#### Post date: [October 1, 2015, 2:08pm UTC](https://discuss.elastic.co/t/size-exceed-s-integer-max-value/31481/1 "2015-10-01T14:08:22Z")
@costin
I'm running Spark on yarn and hitting this error every time when I run against a big Elasticsearch index
```auto
15/09/30 17:57:21 ERROR shuffle.OneForOneBlockFetcher: Failed while starting block fetches
java.lang.RuntimeException: java.lang.IllegalArgumentException: Size exceeds Integer.MAX_VALUE
at sun.nio.ch.FileChannelImpl.map(FileChannelImpl.java:836)
at org.apache.spark.storage.DiskStore$$anonfun$getBytes$2.apply(DiskStore.scala:125)
at org.apache.spark.storage.DiskStore$$anonfun$getBytes$2.apply(DiskStore.scala:113)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1206)
at org.apache.spark.storage.DiskStore.getBytes(DiskStore.scala:127)
at org.apache.spark.storage.DiskStore.getBytes(DiskStore.scala:134)
at org.apache.spark.storage.BlockManager.doGetLocal(BlockManager.scala:512)
at org.apache.spark.storage.BlockManager.getBlockData(BlockManager.scala:302)
at org.apache.spark.network.netty.NettyBlockRpcServer$$anonfun$2.apply(NettyBlockRpcServer.scala:57)
at org.apache.spark.network.netty.NettyBlockRpcServer$$anonfun$2.apply(NettyBlockRpcServer.scala:57)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
at scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.mutable.ArrayOps$ofRef.map(ArrayOps.scala:108)
at org.apache.spark.network.netty.NettyBlockRpcServer.receive(NettyBlockRpcServer.scala:57)
at org.apache.spark.network.server.TransportRequestHandler.processRpcRequest(TransportRequestHandler.java:114)
at org.apache.spark.network.server.TransportRequestHandler.handle(TransportRequestHandler.java:87)
at org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:101)
at org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:51)
at io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294)
at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:266)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294)
at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294)
at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:244)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294)
at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:846)
at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131)
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:111)
at java.lang.Thread.run(Thread.java:745)
at org.apache.spark.network.client.TransportResponseHandler.handle(TransportResponseHandler.java:162)
at org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:103)
at org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:51)
at io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
```
Someone mentioned on stackoverflow that by increase the number of partitions fixes the problem. Question is how do I increase the number of partition to fix this?
See also [https://www.mail-archive.com/user@spark.apache.org/msg32370.html](https://www.mail-archive.com/user@spark.apache.org/msg32370.html)
Thanks,
---
### Author:  [@costin](https://discuss.elastic.co/u/costin)
#### Post date: [October 5, 2015, 7:33pm UTC](https://discuss.elastic.co/t/size-exceed-s-integer-max-value/31481/2 "2015-10-05T19:33:54Z")
Currently we don't offer a way to increase the partitions beyond the number of shards. There might be a way to achieve this reliably; see this issue: [https://github.com/elastic/elasticsearch-hadoop/issues/528](https://github.com/elastic/elasticsearch-hadoop/issues/528)
It's likely though this will be addressed in 2.2.
---
### Author:  [@Philip\_K\_Adetiloye](https://discuss.elastic.co/u/Philip_K_Adetiloye)
#### Post date: [October 6, 2015, 2:42pm UTC](https://discuss.elastic.co/t/size-exceed-s-integer-max-value/31481/3 "2015-10-06T14:42:03Z")
@costin
Quick question, does it take the number of replica shards into consideration or just the primary shards ?
e.g.
number of primary shards(8) + replica shards (8) = 16 partitions or
just primary shards = 8 partitions
```auto
Currently we don't offer a way to increase the partitions beyond the number of shards.
```
Can we include that in the documentation ? I've been trying to figure out how to set partition but I just found out is the number of shards.
---
### Author:  [@costin](https://discuss.elastic.co/u/costin)
#### Post date: [October 6, 2015, 3:25pm UTC](https://discuss.elastic.co/t/size-exceed-s-integer-max-value/31481/4 "2015-10-06T15:25:43Z")
Replicas are copies of data. If both a primary and its replicas are considered one would have duplicate data consumed. Further more it would not help your case since the issue is that a shard (replica or not) is higher than 2GB.
As for the doc improvement sure, sounds like a good idea. Can you please create an issue to not forget about it?
Thanks,
---
### Author:  [@Philip\_K\_Adetiloye](https://discuss.elastic.co/u/Philip_K_Adetiloye)
#### Post date: [October 6, 2015, 3:49pm UTC](https://discuss.elastic.co/t/size-exceed-s-integer-max-value/31481/5 "2015-10-06T15:49:03Z")
Got you, thanks!
> [@costin](#):
>
> As for the doc improvement sure, sounds like a good idea. Can you please create an issue to not forget about it?
Done - [Number of partitions in RDD · Issue #564 · elastic/elasticsearch-hadoop · GitHub](https://github.com/elastic/elasticsearch-hadoop/issues/564)
---
### Author:  [@costin](https://discuss.elastic.co/u/costin)
#### Post date: [October 10, 2015, 11:53am UTC](https://discuss.elastic.co/t/size-exceed-s-integer-max-value/31481/6 "2015-10-10T11:53:25Z")
Cheers!
---
### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [July 6, 2017, 1:27pm UTC](https://discuss.elastic.co/t/size-exceed-s-integer-max-value/31481/7 "2017-07-06T13:27:24Z")