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https://issues.apache.org/jira/browse/LUCENE-2329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12848626#action_12848626
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Michael McCandless commented on LUCENE-2329:
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Sweet, this looks great Michael! Less RAM used and faster indexing (much less
GC load) -- win/win.
It's a little surprising that the segment count dropped from 41 -> 32? Ie, how
much less RAM do the parallel arrays take? They save the object header
per-unique-term, and 4 bytes on 64bit JREs since the "pointer" is now an int
and not a real pointer? But, other things use RAM (the docIDs in the postings
themselves, norms, etc.) so it's surprising the savings was so much that you
get 22% fewer segments... are you sure there isn't a bug in the RAM usage
accounting?
> Use parallel arrays instead of PostingList objects
> --------------------------------------------------
>
> Key: LUCENE-2329
> URL: https://issues.apache.org/jira/browse/LUCENE-2329
> Project: Lucene - Java
> Issue Type: Improvement
> Components: Index
> Reporter: Michael Busch
> Assignee: Michael Busch
> Priority: Minor
> Fix For: 3.1
>
> Attachments: lucene-2329.patch, lucene-2329.patch, lucene-2329.patch
>
>
> This is Mike's idea that was discussed in LUCENE-2293 and LUCENE-2324.
> In order to avoid having very many long-living PostingList objects in
> TermsHashPerField we want to switch to parallel arrays. The termsHash will
> simply be a int[] which maps each term to dense termIDs.
> All data that the PostingList classes currently hold will then we placed in
> parallel arrays, where the termID is the index into the arrays. This will
> avoid the need for object pooling, will remove the overhead of object
> initialization and garbage collection. Especially garbage collection should
> benefit significantly when the JVM runs out of memory, because in such a
> situation the gc mark times can get very long if there is a big number of
> long-living objects in memory.
> Another benefit could be to build more efficient TermVectors. We could avoid
> the need of having to store the term string per document in the TermVector.
> Instead we could just store the segment-wide termIDs. This would reduce the
> size and also make it easier to implement efficient algorithms that use
> TermVectors, because no term mapping across documents in a segment would be
> necessary. Though this improvement we can make with a separate jira issue.
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