Re: Running Wordcount on large file stucks and throws OOM exception

[Zhan Zhang <zz...@hortonworks.com>]

In word count, you don’t need much driver memory, unless you do collect, but it is not recommended.

val file = sc.textFile("hdfs://sandbox.hortonworks.com:8020/tmp/data")
val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
counts.saveAsTextFile("hdfs://sandbox.hortonworks.com:8020/tmp/wordcount")

Thanks.

Zhan Zhang

On Aug 26, 2014, at 12:35 AM, motte1988 <wi...@studserv.uni-leipzig.de> wrote:

> Hello,
> it's me again.
> Now I've got an explanation for the behaviour. It seems that the driver
> memory is not large enough to hold the whole result set of saveAsTextFile
> In-Memory. And then OOM occures. I test it with a filter-step that removes
> KV-pairs with WordCount smaller 100,000. So now the job finished
> successfully.
> But is this the desired behaviour of Spark, that available driver memory
> limits the size of the result set?
> Or is my explanation wrong?
> 
> 
> 
> 
> 
> 
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