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From "Grant Ingersoll (Updated) (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SOLR-3154) SolrJ CloudServer should be leader and network aware when adding docs
Date Mon, 05 Mar 2012 11:31:57 GMT

     [ https://issues.apache.org/jira/browse/SOLR-3154?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Grant Ingersoll updated SOLR-3154:
----------------------------------

    Description: It would be good when indexing if the SolrJ CloudServer was leader aware
so that we could avoid doing an extra hop for the data.  It would also be good if one could
easily set things up based on data locality principles.  This might mean that CloudServer
is aware of where on the network it is and would pick leaders that are as close as possible
(i.e. local, perhaps.)  This would come in to play when working with tools like Hadoop or
other grid computing frameworks.  (was: It would be good when indexing if the SolrJ CloudServer
was leader aware so that we could avoid doing an extra hop for the data.)
        Summary: SolrJ CloudServer should be leader and network aware when adding docs  (was:
SolrJ CloudServer should be leader aware when adding docs)
    
> SolrJ CloudServer should be leader and network aware when adding docs
> ---------------------------------------------------------------------
>
>                 Key: SOLR-3154
>                 URL: https://issues.apache.org/jira/browse/SOLR-3154
>             Project: Solr
>          Issue Type: Improvement
>          Components: SolrCloud
>    Affects Versions: 4.0
>            Reporter: Grant Ingersoll
>            Priority: Minor
>             Fix For: 4.0
>
>
> It would be good when indexing if the SolrJ CloudServer was leader aware so that we could
avoid doing an extra hop for the data.  It would also be good if one could easily set things
up based on data locality principles.  This might mean that CloudServer is aware of where
on the network it is and would pick leaders that are as close as possible (i.e. local, perhaps.)
 This would come in to play when working with tools like Hadoop or other grid computing frameworks.

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