[jira] Commented: (LUCENE-1260) Norm codec strategy in Similarity

["Michael McCandless (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/LUCENE-1260?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12775046#action_12775046 ] 

Michael McCandless commented on LUCENE-1260:
--------------------------------------------

Has anyone tested performance of this last patch?  One thing that concerns me is this change to TermScorer:

{code}
-    return norms == null ? raw : raw * SIM_NORM_DECODER[norms[doc] & 0xFF]; // normalize for field
+    return norms == null ? raw : raw * getSimilarity().decodeNorm(norms[doc]); // normalize for field
{code}

though it could easily be in practice that it doesn't matter.

> Norm codec strategy in Similarity
> ---------------------------------
>
>                 Key: LUCENE-1260
>                 URL: https://issues.apache.org/jira/browse/LUCENE-1260
>             Project: Lucene - Java
>          Issue Type: Improvement
>          Components: Search
>    Affects Versions: 2.3.1
>            Reporter: Karl Wettin
>         Attachments: Lucene-1260.patch, LUCENE-1260.txt, LUCENE-1260.txt, LUCENE-1260.txt
>
>
> The static span and resolution of the 8 bit norms codec might not fit with all applications. 
> My use case requires that 100f-250f is discretized in 60 bags instead of the default.. 10?

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