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From "Eldon Stegall (JIRA)" <j...@apache.org>
Subject [jira] Updated: (CASSANDRA-2331) Allow a Job Configuration to control the consistency level with which reads and writes occur for mapreduce jobs.
Date Tue, 15 Mar 2011 16:49:29 GMT

     [ https://issues.apache.org/jira/browse/CASSANDRA-2331?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Eldon Stegall updated CASSANDRA-2331:
-------------------------------------

    Attachment: consistencylevelpatch.txt

> Allow a Job Configuration to control the consistency level with which reads and writes
occur for mapreduce jobs.
> ----------------------------------------------------------------------------------------------------------------
>
>                 Key: CASSANDRA-2331
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-2331
>             Project: Cassandra
>          Issue Type: Improvement
>          Components: Hadoop
>            Reporter: Eldon Stegall
>            Priority: Minor
>         Attachments: consistencylevelpatch.txt
>
>
> Allow a Job Configuration to control the consistency level with which reads and writes
occur for mapreduce jobs. This would be useful if we were doing statistical rollups and wanted
to fail if consistency isn't met (W + R <= N  as described by http://wiki.apache.org/cassandra/ArchitectureOverview).
An example of a situation where this might happen would be if a set of cassandra nodes became
partitioned from the other nodes, but were still accepting some writes with ConsistencyLevel
1/2 (in the case that writes were local to the partition). Then statistical rollup jobs might
succeed without those accepted writes being included, and this would not be desirable.

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