[jira] [Commented] (CASSANDRA-1473) Implement a Cassandra aware Hadoop mapreduce.Partitioner

["Patricio Echague (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/CASSANDRA-1473?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13051214#comment-13051214 ] 

Patricio Echague commented on CASSANDRA-1473:
---------------------------------------------

Stu, is this partitioner a different one that for instance BytesOrderedPartitioner ?

Where should it be plugged in at?

> Implement a Cassandra aware Hadoop mapreduce.Partitioner
> --------------------------------------------------------
>
>                 Key: CASSANDRA-1473
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-1473
>             Project: Cassandra
>          Issue Type: Improvement
>          Components: Hadoop
>            Reporter: Stu Hood
>            Assignee: Patricio Echague
>             Fix For: 1.0
>
>
> When using a IPartitioner that does not sort data in byte order (RandomPartitioner for example) with Cassandra's Hadoop integration, Hadoop is unaware of the output order of the data.
> We can make Hadoop aware of the proper order of the output data by implementing Hadoop's mapreduce.Partitioner interface: then Hadoop will handle sorting all of the data according to Cassandra's IPartitioner, and the writing clients will be able to connect to smaller numbers of Cassandra nodes.

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