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https://issues.apache.org/jira/browse/LUCENE-7863?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mikhail Khludnev updated LUCENE-7863:
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Attachment: LUCENE-7863.patch
[^LUCENE-7863.patch] replaces TreeMap<String> to BytesRefArray see
{{ByteArrayDerivativeWriter.java}}. Here are results for 5M docs
|round|indexing, mins|search req/sec|ram total, GB |index size, GB|
| EdgeNGramm |85|27.82|2.3|23|
|derived edges|51|7.22|5.5|9.1|
We have index size and even index time gain that costs some ram as it's
expected.
EdgeNGramm cache can be made a little bit more compact. The trick is to append
something to edgegramm to make it unique.
The interesting thing is the 3 times slower search time, I suppose that posting
offsets obtained during term expansion could be sorted before reading postings.
> Don't repeat postings (and perhaps positions) on ReverseWF, EdgeNGram, etc
> ----------------------------------------------------------------------------
>
> Key: LUCENE-7863
> URL: https://issues.apache.org/jira/browse/LUCENE-7863
> Project: Lucene - Core
> Issue Type: Improvement
> Components: core/index
> Reporter: Mikhail Khludnev
> Attachments: benchmark-1m.out, LUCENE-7863.hazard, LUCENE-7863.patch,
> LUCENE-7863.patch, LUCENE-7863.patch, LUCENE-7863.patch, LUCENE-7863.patch,
> LUCENE-7863.patch, LUCENE-7863.patch, LUCENE-7863.patch, LUCENE-7863.patch
>
>
> h2. Context
> \*suffix and \*infix\* searches on large indexes.
> h2. Problem
> Obviously applying {{ReversedWildcardFilter}} doubles an index size, and I'm
> shuddering to think about EdgeNGrams...
> h2. Proposal
> _DRY_
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