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From "Stefan Seidel (JIRA)" <j...@apache.org>
Subject [jira] Commented: (SOLR-1316) Create autosuggest component
Date Tue, 22 Jun 2010 10:07:09 GMT

    [ https://issues.apache.org/jira/browse/SOLR-1316?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12881149#action_12881149
] 

Stefan Seidel commented on SOLR-1316:
-------------------------------------

@David, yes we'®e using Solr1.4. And of course, putting the facet query in firstSearcher
only alleviates the problem of several searches trashing the solr server, because they all
need to wait for the autowarming, but it still takes ~240 seconds to initialize faceting,
and this is not usable with commits every 60 seconds.

@Ankul, thanks for the analysis. It would be great if the commit changes could be merged on
the fly, but what about an option to not rebuild the tree at every commit? Like the spellchecker,
the autosuggest can usually drift from the main index until an optimize is done (e.g. during
night time). Then we wouldn't get the most up-to-date suggestions, but this is usually not
really needed.

> Create autosuggest component
> ----------------------------
>
>                 Key: SOLR-1316
>                 URL: https://issues.apache.org/jira/browse/SOLR-1316
>             Project: Solr
>          Issue Type: New Feature
>          Components: search
>    Affects Versions: 1.4
>            Reporter: Jason Rutherglen
>            Assignee: Shalin Shekhar Mangar
>            Priority: Minor
>             Fix For: Next
>
>         Attachments: SOLR-1316.patch, SOLR-1316.patch, SOLR-1316.patch, SOLR-1316.patch,
SOLR-1316.patch, SOLR-1316.patch, suggest.patch, suggest.patch, suggest.patch, TST.zip
>
>   Original Estimate: 96h
>  Remaining Estimate: 96h
>
> Autosuggest is a common search function that can be integrated
> into Solr as a SearchComponent. Our first implementation will
> use the TernaryTree found in Lucene contrib. 
> * Enable creation of the dictionary from the index or via Solr's
> RPC mechanism
> * What types of parameters and settings are desirable?
> * Hopefully in the future we can include user click through
> rates to boost those terms/phrases higher

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