[
https://issues.apache.org/jira/browse/CASSANDRA-1473?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13083852#comment-13083852
]
Jonathan Ellis commented on CASSANDRA-1473:
-------------------------------------------
Actually even for RP I don't see how to make this useful.
I was thinking md5(key) % partitions but that's not actually going to group the
keys by node at all. It's _a_ partitioning but not a _useful_ one. :)
> 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.
--
This message is automatically generated by JIRA.
For more information on JIRA, see: http://www.atlassian.com/software/jira
