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Posted to dev@lucene.apache.org by "Uwe Schindler (JIRA)" <ji...@apache.org> on 2010/07/08 09:19:50 UTC

[jira] Commented: (SOLR-1961) Use Lucene's Field Cache To Retrieve Stored Fields From Memory

    [ https://issues.apache.org/jira/browse/SOLR-1961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12886265#action_12886265 ] 

Uwe Schindler commented on SOLR-1961:
-------------------------------------

Can you remove the useless Exception catch blocks printing ex.printStackTrace() and bubble them up? Also simply printing stack traces to anywhere (stdout) is the wong thing to do. If you catch the Exceptions, pass them to log.error, so the logging framework logs them correct.

> Use Lucene's Field Cache To Retrieve Stored Fields From Memory
> --------------------------------------------------------------
>
>                 Key: SOLR-1961
>                 URL: https://issues.apache.org/jira/browse/SOLR-1961
>             Project: Solr
>          Issue Type: New Feature
>          Components: search
>    Affects Versions: 1.4
>            Reporter: Stephen Bochinski
>         Attachments: field_cache.patch, patch.txt
>
>   Original Estimate: 101.5h
>  Remaining Estimate: 101.5h
>
> This allows the user to configure which fields should be field cached in the schema.xml file by adding the following attribute:
> fieldCached="true"
> Enabling this on a field greatly decreases the time needed to retrieve stored fields. This works on fields containing Bytes, Strings, Integers, Longs, and Floats. Enabling field cache is applicable in many scenarios. For instance, if you have a bunch of text that is indexed and not stored and you only need to retrieve a string or number associated with a document. Its applicable in any case where there are many indexed fields and not too many stored fields being retrieved. The memory consumption is not very high compared to the performance gains field cache brings.
> Memory consumption is governed by: Number of fields cached * Number of documents *  8 bytes per reference +
> 	SUM(Number of unique values of the field  * average length of term)  * 2 (chars use 2 bytes) * String overhead (40 bytes)

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