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https://issues.apache.org/jira/browse/LUCENE-2329?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12848748#action_12848748
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Michael Busch commented on LUCENE-2329:
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{quote}
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?
{quote}
Yeah it seems a bit suspicious. I'll investigate. But, keep in mind that
TermVectors were enabled too. And the number of "unique terms" in the 2nd
TermsHash is higher, i.e. if you summed up numPostings from the 2nd TermsHash
in each round that sum should be higher than numPostings from the first
TermsHash.
> 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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