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https://issues.apache.org/jira/browse/LUCENE-4609?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13560014#comment-13560014
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Michael McCandless commented on LUCENE-4609:
--------------------------------------------

{quote}
That's right. But if we'll see net gains, it doesn't mean anything about how it 
will perform on small set of integers.
That's why I think this test has nothing to do w/ the Encoder/Decoder.
{quote}

Ahh, I see: you're right.

If this prototype collector is faster it's not clear how we'd "productize" it.  
Maybe as multi-valued DV (int[] per doc), which could then use big packed ints 
array under the hood or something ...
                
> Write a PackedIntsEncoder/Decoder for facets
> --------------------------------------------
>
>                 Key: LUCENE-4609
>                 URL: https://issues.apache.org/jira/browse/LUCENE-4609
>             Project: Lucene - Core
>          Issue Type: New Feature
>          Components: modules/facet
>            Reporter: Shai Erera
>            Priority: Minor
>         Attachments: LUCENE-4609.patch, LUCENE-4609.patch, LUCENE-4609.patch, 
> LUCENE-4609.patch
>
>
> Today the facets API lets you write IntEncoder/Decoder to encode/decode the 
> category ordinals. We have several such encoders, including VInt (default), 
> and block encoders.
> It would be interesting to implement and benchmark a 
> PackedIntsEncoder/Decoder, with potentially two variants: (1) receives 
> bitsPerValue up front, when you e.g. know that you have a small taxonomy and 
> the max value you can see and (2) one that decides for each doc on the 
> optimal bitsPerValue, writes it as a header in the byte[] or something.

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