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https://issues.apache.org/jira/browse/GIRAPH-234?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13406816#comment-13406816
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Jan van der Lugt commented on GIRAPH-234:
-----------------------------------------

I guess you could try to increase the maximum amount of memory used by 
mapreduce jobs in Hadoop. By default it is only 200 MB, I believe. Add this to 
your mapred-site.xml:

<property>
  <name>mapred.child.java.opts</name>
  <value>-Xmx4000m</value>
</property>

Since Giraph holds the whole graph in memory, you need a lot of it. Make sure 
you are not oversubscribing the amount of memory: If you run two mappers on a 
machine with 8GB of memory, set the maximum to about 3500 MB
                
> Error: GC overhead limit exceeded. Child Error 
> org.apache.hadoop.mapred.TaskRunner.run
> --------------------------------------------------------------------------------------
>
>                 Key: GIRAPH-234
>                 URL: https://issues.apache.org/jira/browse/GIRAPH-234
>             Project: Giraph
>          Issue Type: Bug
>          Components: bsp, examples, mapreduce
>    Affects Versions: 0.1.0
>            Reporter: Amani 
>              Labels: example, giraph
>
> Hello everyone, 
> I'm trying to run pregel style implementation of strongly connected 
> components algorithm on top of giraph. A user defined writable 
> (LongPairWritable) used as the type of the messages between the vertices. The 
> algorithm works well in single node. However, whenever I tested using large 
> graph (around 1 million vertices) in cluster, a GC overhead limit exceeded 
> caused by out of memory exception. The error comes after attempt=0 
> super-step=1 with 2 minutes pending. I'm wondering how to solve the problem 
> and what causes it? 
> Is it possible that LongPairWritable cause the problem? 
> I tried a simple test: 
> Succeeded job:
> Comput(Iterator<LongPairWritable> msgIterator){
> If(getSuperstep() >=20){
> voteToHalt();
> } else {
> //Do nothing
> }
> } 
> Failed job:
> Comput(Iterator<LongPairWritable> msgIterator){
> If(getSuperstep() >=20){
> voteToHalt();
> } else {
> sendToAll(new LongPairWritable(new LongWritable(0),new LongWritable(0));
> }
> }
> Thanks in advance. 
> Amani

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