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https://issues.apache.org/jira/browse/LUCENE-5646?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Robert Muir resolved LUCENE-5646.
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Resolution: Fixed
Thanks Adrien!
> stored fields bulk merging doesn't quite work right
> ---------------------------------------------------
>
> Key: LUCENE-5646
> URL: https://issues.apache.org/jira/browse/LUCENE-5646
> Project: Lucene - Core
> Issue Type: Bug
> Reporter: Robert Muir
> Fix For: 4.9, 5.0
>
> Attachments: LUCENE-5646.patch
>
>
> from doing some profiling of merging:
> CompressingStoredFieldsWriter has 3 codepaths (as i see it):
> 1. optimized bulk copy (no deletions in chunk). In this case compressed data
> is copied over.
> 2. semi-optimized copy: in this case its optimized for an existing
> storedfieldswriter, and it decompresses and recompresses doc-at-a-time around
> any deleted docs in the chunk.
> 3. ordinary merging
> In my dataset, i only see #2 happening, never #1. The logic for determining
> if we can do #1 seems to be:
> {code}
> onChunkBoundary && chunkSmallEnough && chunkLargeEnough && noDeletions
> {code}
> I think the logic for "chunkLargeEnough" is out of sync with the
> MAX_DOCS_PER_CHUNK limit? e.g. instead of:
> {code}
> startOffsets[it.chunkDocs - 1] + it.lengths[it.chunkDocs - 1] >= chunkSize //
> chunk is large enough
> {code}
> it should be something like:
> {code}
> (it.chunkDocs >= MAX_DOCUMENTS_PER_CHUNK || startOffsets[it.chunkDocs - 1] +
> it.lengths[it.chunkDocs - 1] >= chunkSize) // chunk is large enough
> {code}
> But this only works "at first" then falls out of sync in my tests. Once this
> happens, it never reverts back to #1 algorithm and sticks with #2. So its
> still not quite right.
> Maybe [~jpountz] knows off the top of his head...
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