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Robert Muir commented on LUCENE-1606: ------------------------------------- Yonik, maybe we can use this trick? UTF-8 in UTF-16 Order The following comparison function for UTF-8 yields the same results as UTF-16 binary comparison. In the code, notice that it is necessary to do extra work only once per string, not once per byte. That work can consist of simply remapping through a small array; there are no extra conditional branches that could slow down the processing. {code} int strcmp8like16(unsigned char* a, unsigned char* b) { while (true) { int ac = *a++; int bc = *b++; if (ac != bc) return rotate[ac] - rotate[bc]; if (ac == 0) return 0; } } static char rotate[256] = {0x00, ..., 0x0F, 0x10, ..., 0x1F, . . . . . . 0xD0, ..., 0xDF, 0xE0, ..., 0xED, 0xF0, 0xF1, 0xF2, 0xF3, 0xF4, 0xEE, 0xEF, 0xF5, ..., 0xFF}; {code} The rotate array is formed by taking an array of 256 bytes from 0x00 to 0xFF, and rotating 0xEE and 0xEF to a position after the bytes 0xF0..0xF4. These rotated values are shown in boldface. When this rotation is performed on the initial bytes of UTF-8, it has the effect of making code points U+10000..U+10FFFF sort below U+E000..U+FFFF, thus mimicking the ordering of UTF-16. > 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: Search > Reporter: Robert Muir > Assignee: Robert Muir > Priority: Minor > Fix For: 3.1 > > Attachments: automaton.patch, automatonMultiQuery.patch, > automatonmultiqueryfuzzy.patch, automatonMultiQuerySmart.patch, > automatonWithWildCard.patch, automatonWithWildCard2.patch, > BenchWildcard.java, LUCENE-1606-flex.patch, LUCENE-1606-flex.patch, > LUCENE-1606.patch, LUCENE-1606.patch, LUCENE-1606.patch, LUCENE-1606.patch, > LUCENE-1606.patch, LUCENE-1606.patch, LUCENE-1606.patch, LUCENE-1606.patch, > LUCENE-1606_nodep.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. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online. --------------------------------------------------------------------- To unsubscribe, e-mail: java-dev-unsubscr...@lucene.apache.org For additional commands, e-mail: java-dev-h...@lucene.apache.org