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From "austin collins (Commented) (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SOLR-2889) Implement Adaptive Replacement Cache
Date Mon, 16 Apr 2012 22:00:17 GMT

    [ https://issues.apache.org/jira/browse/SOLR-2889?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13255108#comment-13255108
] 

austin collins commented on SOLR-2889:
--------------------------------------

@Shawn I have been reading though your comments. Well done for taking on this project, it
sounds like a good achievement and addition to the open-s-c. 

You set out with a goal, and I guess this was to make performance gains. However you don't
sound confident you have achieved this when you ask for someone to provide some speed optimization.


Would you mind posting some information about the results of your work and how much performance
gain you made. If you have benchmark results this would be ideal. Did you notice any increase/decrease
in memory and CPU demand?
                
> Implement Adaptive Replacement Cache
> ------------------------------------
>
>                 Key: SOLR-2889
>                 URL: https://issues.apache.org/jira/browse/SOLR-2889
>             Project: Solr
>          Issue Type: New Feature
>          Components: search
>    Affects Versions: 3.4
>            Reporter: Shawn Heisey
>            Priority: Minor
>
> Currently Solr's caches are LRU, which doesn't look at hitcount to decide which entries
are most important.  There is a method that takes both frequency and time of cache hits into
account:
> http://en.wikipedia.org/wiki/Adaptive_Replacement_Cache
> If it's feasible, this could be a good addition to Solr/Lucene.

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