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From "Martin Grotzke (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SOLR-2583) Make external scoring more efficient (ExternalFileField, FileFloatSource)
Date Fri, 10 Jun 2011 00:51:59 GMT

    [ https://issues.apache.org/jira/browse/SOLR-2583?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13046943#comment-13046943
] 

Martin Grotzke commented on SOLR-2583:
--------------------------------------

bq. If the problem is sparsity, maybe use a two-stage table, still faster than a hashmap and
much better for the worst case.

What do you mean with a two-stage table, can you clarify this please?

> Make external scoring more efficient (ExternalFileField, FileFloatSource)
> -------------------------------------------------------------------------
>
>                 Key: SOLR-2583
>                 URL: https://issues.apache.org/jira/browse/SOLR-2583
>             Project: Solr
>          Issue Type: Improvement
>          Components: search
>            Reporter: Martin Grotzke
>            Priority: Minor
>         Attachments: FileFloatSource.java.patch
>
>
> External scoring eats much memory, depending on the number of documents in the index.
The ExternalFileField (used for external scoring) uses FileFloatSource, where one FileFloatSource
is created per external scoring file. FileFloatSource creates a float array with the size
of the number of docs (this is also done if the file to load is not found). If there are much
less entries in the scoring file than there are number of docs in total the big float array
wastes much memory.
> This could be optimized by using a map of doc -> score, so that the map contains as
many entries as there are scoring entries in the external file, but not more.

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