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https://issues.apache.org/jira/browse/LUCENE-3714?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13193637#comment-13193637
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Dawid Weiss commented on LUCENE-3714:
-------------------------------------
Didn't look at the patch yet but this looks surprising:
{noformat}
FSTCompletionLookup queries: 50001, time[ms]: 163 [+- 13.04], ~qps: 307
WFSTCompletionLookup queries: 50001, time[ms]: 55 [+- 1.50], ~qps: 910
{noformat}
Why would the previous version be so much slower? With onlyMorePopular=true
this should be a single pass. Unless it's setup to bring exact match to the top
and then there's a need to check multiple buckets with lower scores -- would
that be it?
> add suggester that uses shortest path/wFST instead of buckets
> -------------------------------------------------------------
>
> Key: LUCENE-3714
> URL: https://issues.apache.org/jira/browse/LUCENE-3714
> Project: Lucene - Java
> Issue Type: New Feature
> Components: modules/spellchecker
> Reporter: Robert Muir
> Attachments: LUCENE-3714.patch, LUCENE-3714.patch, LUCENE-3714.patch,
> TestMe.java, out.png
>
>
> Currently the FST suggester (really an FSA) quantizes weights into buckets
> (e.g. single byte) and puts them in front of the word.
> This makes it fast, but you lose granularity in your suggestions.
> Lately the question was raised, if you build lucene's FST with
> positiveintoutputs, does it behave the same as a tropical semiring wFST?
> In other words, after completing the word, we instead traverse min(output) at
> each node to find the 'shortest path' to the
> best suggestion (with the highest score).
> This means we wouldnt need to quantize weights at all and it might make some
> operations (e.g. adding fuzzy matching etc) a lot easier.
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