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 wir12...@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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