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From "Robert Muir (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LUCENE-4780) MonotonicAppendingLongBuffer
Date Sat, 16 Feb 2013 00:17:12 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-4780?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13579620#comment-13579620
] 

Robert Muir commented on LUCENE-4780:
-------------------------------------

So this works even if its "mostly monotonic" but not always?

In LUCENE-4765, i refactored SortedBytes merging to use OrdinalMap, so if this works we can
also reduce RAM used during merging, which would be awesome. But using it in merge means that
when there are 
"deleted terms" its ordinal mappings are not always strictly monotonic, but probably mostly
so.

In this case we would just get some negative deviations right?

                
> MonotonicAppendingLongBuffer
> ----------------------------
>
>                 Key: LUCENE-4780
>                 URL: https://issues.apache.org/jira/browse/LUCENE-4780
>             Project: Lucene - Core
>          Issue Type: Improvement
>            Reporter: Adrien Grand
>            Assignee: Adrien Grand
>            Priority: Minor
>             Fix For: 4.2
>
>         Attachments: LUCENE-4780.patch
>
>
> IndexWriter uses AppendingLongBuffer in several places, and in a few of them the mapping
is monotonically increasing so we could save additional space by only encoding the delta from
a linear projection.

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