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https://issues.apache.org/jira/browse/LUCENE-5159?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Robert Muir updated LUCENE-5159:
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    Attachment: LUCENE-5159.patch

fixes a OB1 bug. ill beef up the DV base test case to really exercise this 
termsenum...
                
> compressed diskdv sorted/sortedset termdictionaries
> ---------------------------------------------------
>
>                 Key: LUCENE-5159
>                 URL: https://issues.apache.org/jira/browse/LUCENE-5159
>             Project: Lucene - Core
>          Issue Type: Improvement
>          Components: core/index
>            Reporter: Robert Muir
>         Attachments: LUCENE-5159.patch, LUCENE-5159.patch
>
>
> Sorted/SortedSet give you ordinal(s) per document, but them separately have a 
> "term dictionary" of all the values.
> You can do a few operations on these:
> * ord -> term lookup (e.g. retrieving facet labels)
> * term -> ord lookup (reverse lookup: e.g. fieldcacherangefilter)
> * get a term enumerator (e.g. merging, ordinalmap construction)
> The current implementation for diskdv was the simplest thing that can 
> possibly work: under the hood it just makes a binary DV for these (treating 
> ordinals as document ids). When the terms are fixed length, you can address a 
> term directly with multiplication. When they are variable length though, we 
> have to store a packed ints structure in RAM.
> This variable length case is overkill and chews up a lot of RAM if you have 
> many unique values. It also chews up a lot of disk since all the values are 
> just concatenated (no sharing).

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