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https://issues.apache.org/jira/browse/LUCENE-2357?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13287521#comment-13287521
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Adrien Grand commented on LUCENE-2357:
--------------------------------------
While working on LUCENE-4062, I had in mind that {{FAST}} (50%) would be ok for
transient data structures while {{COMPACT}} (0%) and {{DEFAULT}} (20%) would be
better for big and long-living structures depending on the performance
requirements. However, it is true that the DocMap might not be the bottleneck
for merging (especially since this operation involves disk accesses). I can try
to run some benchmarks next week to find out whether {{COMPACT}} (or maybe
{{DEFAULT}}) could be a better tradeoff.
> Reduce transient RAM usage while merging by using packed ints array for docID
> re-mapping
> ----------------------------------------------------------------------------------------
>
> Key: LUCENE-2357
> URL: https://issues.apache.org/jira/browse/LUCENE-2357
> Project: Lucene - Java
> Issue Type: Improvement
> Components: core/index
> Reporter: Michael McCandless
> Assignee: Michael McCandless
> Priority: Minor
> Fix For: 4.0
>
> Attachments: LUCENE-2357.patch, LUCENE-2357.patch, LUCENE-2357.patch,
> LUCENE-2357.patch, LUCENE-2357.patch
>
>
> We allocate this int[] to remap docIDs due to compaction of deleted ones.
> This uses alot of RAM for large segment merges, and can fail to allocate due
> to fragmentation on 32 bit JREs.
> Now that we have packed ints, a simple fix would be to use a packed int
> array... and maybe instead of storing abs docID in the mapping, we could
> store the number of del docs seen so far (so the remap would do a lookup then
> a subtract). This may add some CPU cost to merging but should bring down
> transient RAM usage quite a bit.
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