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https://issues.apache.org/jira/browse/LUCENE-1606?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12700500#action_12700500
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Uwe Schindler commented on LUCENE-1606:
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Yes, it should be normally be left to the user. And the slower filter on large
indexes with only sparingly filled bitsets is related to LUCENE-1536.
E.g. I did some comparisions for TrieRangeQuery on a 5 mio doc index, integer
field, 8 bit precision step (so about 400 terms per query), the filter is about
double as fast. But the ranges were random and hit about 1/3 of all documents
in average per query, so the bitset is not so sparse.
TrieRangeQuery is a typical example of a MultiTermQuery, that also works well
with Boolean rewrite, because the upper term count is limited by the precision
step (for ints and 8 bit the theoretical, but never reached, maximum is about
1700 terms, for lower precisionSteps even less).
> Automaton Query/Filter (scalable regex)
> ---------------------------------------
>
> Key: LUCENE-1606
> URL: https://issues.apache.org/jira/browse/LUCENE-1606
> Project: Lucene - Java
> Issue Type: New Feature
> Components: contrib/*
> Reporter: Robert Muir
> Priority: Minor
> Fix For: 2.9
>
> Attachments: automaton.patch, automatonMultiQuery.patch,
> automatonWithWildCard.patch, automatonWithWildCard2.patch
>
>
> Attached is a patch for an AutomatonQuery/Filter (name can change if its not
> suitable).
> Whereas the out-of-box contrib RegexQuery is nice, I have some very large
> indexes (100M+ unique tokens) where queries are quite slow, 2 minutes, etc.
> Additionally all of the existing RegexQuery implementations in Lucene are
> really slow if there is no constant prefix. This implementation does not
> depend upon constant prefix, and runs the same query in 640ms.
> Some use cases I envision:
> 1. lexicography/etc on large text corpora
> 2. looking for things such as urls where the prefix is not constant (http://
> or ftp://)
> The Filter uses the BRICS package (http://www.brics.dk/automaton/) to convert
> regular expressions into a DFA. Then, the filter "enumerates" terms in a
> special way, by using the underlying state machine. Here is my short
> description from the comments:
> The algorithm here is pretty basic. Enumerate terms but instead of a
> binary accept/reject do:
>
> 1. Look at the portion that is OK (did not enter a reject state in the
> DFA)
> 2. Generate the next possible String and seek to that.
> the Query simply wraps the filter with ConstantScoreQuery.
> I did not include the automaton.jar inside the patch but it can be downloaded
> from http://www.brics.dk/automaton/ and is BSD-licensed.
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