Hello All,
I dug a little deeper and found this error :
15/04/27 16:05:39 WARN TransportChannelHandler: Exception in
connection from /10.1.0.90:40590
java.io.IOException: Connection reset by peer
at sun.nio.ch.FileDispatcherImpl.read0(Native Method)
at sun.nio.ch.SocketDispatcher.read(SocketDispatcher.java:39)
at sun.nio.ch.IOUtil.readIntoNativeBuffer(IOUtil.java:223)
at sun.nio.ch.IOUtil.read(IOUtil.java:192)
at sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:379)
at
io.netty.buffer.PooledUnsafeDirectByteBuf.setBytes(PooledUnsafeDirectByteBuf.java:311)
at io.netty.buffer.AbstractByteBuf.writeBytes(AbstractByteBuf.java:881)
at
io.netty.channel.socket.nio.NioSocketChannel.doReadBytes(NioSocketChannel.java:225)
at
io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:119)
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:745)
15/04/27 16:05:39 ERROR TransportRequestHandler: Error sending result
ChunkFetchSuccess{streamChunkId=StreamChunkId{streamId=45314884029,
chunkIndex=0}, buffer=NioManagedBuffer{buf=java.nio.HeapByteBuffer[pos=0
lim=26227673 cap=26227673]}} to /10.1.0.90:40590; closing connection
java.nio.channels.ClosedChannelException
15/04/27 16:05:39 ERROR TransportRequestHandler: Error sending result
RpcResponse{requestId=8439869725098873668, response=[B@1bdcdf63} to
/10.1.0.90:40590; closing connection
java.nio.channels.ClosedChannelException
15/04/27 16:05:39 ERROR CoarseGrainedExecutorBackend: Driver
Disassociated [akka.tcp://sparkexecu...@master.spark.com:60802] ->
[akka.tcp://sparkdri...@master.spark.com:37195] disassociated!
Shutting down.
15/04/27 16:05:39 WARN ReliableDeliverySupervisor: Association with
remote system [akka.tcp://sparkdri...@master.spark.com:37195] has
failed, address is now gated for [5000] ms. Reason is:
[Disassociated].
On Mon, Apr 27, 2015 at 8:35 AM, Shixiong Zhu <zsxw...@gmail.com> wrote:
> The configuration key should be "spark.akka.askTimeout" for this timeout.
> The time unit is seconds.
>
> Best Regards,
> Shixiong(Ryan) Zhu
>
> 2015-04-26 15:15 GMT-07:00 Deepak Gopalakrishnan <dgk...@gmail.com>:
>
> Hello,
>>
>>
>> Just to add a bit more context :
>>
>> I have done that in the code, but I cannot see it change from 30 seconds
>> in the log.
>>
>> .set("spark.executor.memory", "10g")
>>
>> .set("spark.driver.memory", "20g")
>>
>> .set("spark.akka.timeout","6000")
>>
>> PS : I understand that 6000 is quite large, but I'm just trying to see if
>> it actually changes
>>
>>
>> Here is the command that I'm running
>>
>> sudo MASTER=spark://master.spark.com:7077
>> /opt/spark/spark-1.3.0-bin-hadoop2.4/bin/spark-submit --class
>> "<class-name>" --executor-memory 20G --driver-memory 10G --deploy-mode
>> client --conf spark.akka.timeout=6000 --conf spark.akka.askTimeout=6000
>> <jar file path>
>>
>>
>> and here is how I load the file JavaPairRDD<String, String>
>> learningRdd=sc.wholeTextFiles(filePath,10);
>> Thanks
>>
>> On Mon, Apr 27, 2015 at 3:36 AM, Bryan Cutler <cutl...@gmail.com> wrote:
>>
>>> I'm not sure what the expected performance should be for this amount of
>>> data, but you could try to increase the timeout with the property
>>> "spark.akka.timeout" to see if that helps.
>>>
>>> Bryan
>>>
>>> On Sun, Apr 26, 2015 at 6:57 AM, Deepak Gopalakrishnan <dgk...@gmail.com
>>> > wrote:
>>>
>>>> Hello All,
>>>>
>>>> I'm trying to process a 3.5GB file on standalone mode using spark. I
>>>> could run my spark job succesfully on a 100MB file and it works as
>>>> expected. But, when I try to run it on the 3.5GB file, I run into the below
>>>> error :
>>>>
>>>>
>>>> 15/04/26 12:45:50 INFO BlockManagerMaster: Updated info of block
>>>> taskresult_83
>>>> 15/04/26 12:46:46 WARN AkkaUtils: Error sending message [message =
>>>> Heartbeat(2,[Lscala.Tuple2;@790223d3,BlockManagerId(2, master.spark.com,
>>>> 39143))] in 1 attempts
>>>> java.util.concurrent.TimeoutException: Futures timed out after [30 seconds]
>>>> at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
>>>> at
>>>> scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
>>>> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107)
>>>> at
>>>> scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
>>>> at scala.concurrent.Await$.result(package.scala:107)
>>>> at org.apache.spark.util.AkkaUtils$.askWithReply(AkkaUtils.scala:195)
>>>> at org.apache.spark.executor.Executor$$anon$1.run(Executor.scala:427)
>>>> 15/04/26 12:47:15 INFO MemoryStore: ensureFreeSpace(26227673) called with
>>>> curMem=265897, maxMem=5556991426
>>>> 15/04/26 12:47:15 INFO MemoryStore: Block taskresult_92 stored as bytes in
>>>> memory (estimated size 25.0 MB, free 5.2 GB)
>>>> 15/04/26 12:47:16 INFO MemoryStore: ensureFreeSpace(26272879) called with
>>>> curMem=26493570, maxMem=5556991426
>>>> 15/04/26 12:47:16 INFO MemoryStore: Block taskresult_94 stored as bytes in
>>>> memory (estimated size 25.1 MB, free 5.1 GB)
>>>> 15/04/26 12:47:18 INFO MemoryStore: ensureFreeSpace(26285327) called with
>>>> curMem=52766449, maxMem=5556991426
>>>>
>>>>
>>>> and the job fails.
>>>>
>>>>
>>>> I'm on AWS and have opened all ports. Also, since the 100MB file works,
>>>> it should not be a connection issue. I've a r3 xlarge and 2 m3 large.
>>>>
>>>> Can anyone suggest a way to fix this?
>>>>
>>>> --
>>>> Regards,
>>>> *Deepak Gopalakrishnan*
>>>> *Mobile*:+918891509774
>>>> *Skype* : deepakgk87
>>>> http://myexps.blogspot.com
>>>>
>>>>
>>>
>>
>>
>> --
>> Regards,
>> *Deepak Gopalakrishnan*
>> *Mobile*:+918891509774
>> *Skype* : deepakgk87
>> http://myexps.blogspot.com
>>
>>
>
--
Regards,
*Deepak Gopalakrishnan*
*Mobile*:+918891509774
*Skype* : deepakgk87
http://myexps.blogspot.com
