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
