Re: [SQL] [SQL, regex, words] how to match word boundaries using regex's?
От | Gene Selkov Jr. |
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Тема | Re: [SQL] [SQL, regex, words] how to match word boundaries using regex's? |
Дата | |
Msg-id | 199810191432.JAA07847@antares.mcs.anl.gov обсуждение исходный текст |
Ответ на | [SQL, regex, words] how to match word boundaries using regex's? (Tony.Curtis@vcpc.univie.ac.at) |
Ответы |
Re: [SQL] [SQL, regex, words] how to match word boundaries using regex's?
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Список | pgsql-sql |
> I want to do a regex match limited to words. > > I tried this: > > where ... ~ '\Wword\W'; > where ... ~ '\W*word\W*'; > where ... ~ '\b\(word\)\b'; > > and other things with LIKE but no joy. Based on the comments in the source, regexp stuff used in postgres is something like this: http://tiger8.com/us/regexp-manpage.html I guess there are no backslash macros is POSIX expressions. No joy. By the way, I am wondering what determined the choiceof the regexp machine for postgres? Is it performance-related? Is it possible to have the same stuff as in perl? As to your question, how about a poor man's Altavista like this: Split the text into words before loading into a special index table. Words are numbered sequentially, so you can search for"phrases": Table = word +----------------------------------+----------------------------------+-------+ | Field | Type | Length| +----------------------------------+----------------------------------+-------+ | rec | char() | 12 | | seq | int4 | 4 | | word | text | var | +----------------------------------+----------------------------------+-------+ SELECT DISTINCT w1.rec FROM word w1, word w2 WHERE w1.word ~ '^a$' AND w2.word ~ '^phrase$' AND w1.rec = w2.rec AND w2.seq - w1.seq = 1; -- Distance between the words This way, you can control what represents the concept of a 'word' by an external program (perl script, etc.) Certainly, this method will show suboptimal performance with extra large tables and more than three or four words in a seachphrase. But it is possible to optimise by delegating set operations (joins) and position arithmetic to the client. Itworks very well for my ~500k tables and the most common queries. --Gene
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