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From "Jason Rutherglen (JIRA)" <j...@apache.org>
Subject [jira] Closed: (SOLR-1614) Search in Hadoop
Date Mon, 24 Jan 2011 21:14:13 GMT

     [ https://issues.apache.org/jira/browse/SOLR-1614?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Jason Rutherglen closed SOLR-1614.
----------------------------------

    Resolution: Won't Fix

Sorry if this spam's things, however it's unlikely that I'll work on these.

> Search in Hadoop
> ----------------
>
>                 Key: SOLR-1614
>                 URL: https://issues.apache.org/jira/browse/SOLR-1614
>             Project: Solr
>          Issue Type: New Feature
>          Components: search
>    Affects Versions: 1.4
>            Reporter: Jason Rutherglen
>            Priority: Minor
>             Fix For: Next
>
>
> What's the use case? Sometimes queries are expensive (such as
> regex) or one has indexes located in HDFS, that then need to be
> searched on. By leveraging Hadoop, these non-time sensitive
> queries may be executed without dynamically deploying the
> indexes to new Solr servers. 
> We'll download the index out of HDFS (assuming they're zipped),
> perform the queries in a batch on the index shard, then merge
> the results either using a Solr query results priority queue, or
> simply using Hadoop's built in merge sorting. 
> The query file will be encoded in JSON format, (ID, query,
> numresults,fields). The shards file will simply contain newline
> delimited paths (HDFS or otherwise). The output can be a Solr
> encoded results file per query.
> I'm hoping to add an actual Hadoop unit test.

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