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https://issues.apache.org/jira/browse/CASSANDRA-1096?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joost Ouwerkerk updated CASSANDRA-1096:
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Attachment: CASSANDRA-1096.patch
I added Collections.shuffle(splits) before returning the splits in getSplits().
As a result, the load is much better distributed, throughput was increased
(about 3X in my case) and TimedOutExceptions were all but eliminated.
> Sequential splits causing unbalanced MapReduce load
> ---------------------------------------------------
>
> Key: CASSANDRA-1096
> URL: https://issues.apache.org/jira/browse/CASSANDRA-1096
> Project: Cassandra
> Issue Type: Bug
> Components: Hadoop
> Affects Versions: 0.6
> Reporter: Joost Ouwerkerk
> Attachments: CASSANDRA-1096.patch
>
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> Since CassandraInputFormat returns an ordered list of splits, when there are
> many splits (e.g. hundreds or more) the load on cassandra is horribly
> unbalanced. e.g. if I have 30 tasks processing 600 splits, then the rows for
> the first 30 splits are all located on the same one or two nodes.
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