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Postgresql full text search part of words

开发者 https://www.devze.com 2023-02-01 14:21 出处:网络
Is postresql capable of doing a full text search, based on \'half\' a word? For example I\'m trying to seach for \"tree\", but I tell postgres to search for \"tr\".

Is postresql capable of doing a full text search, based on 'half' a word? For example I'm trying to seach for "tree", but I tell postgres to search for "tr".

I can't find such a solution that is capable of doing this.

Currently I'm using

 select * from test, to_tsquery('tree') as q where vectors @@ q ;

But I'd l开发者_如何学Pythonike to do something like this:

 select * from test, to_tsquery('tr%') as q where vectors @@ q ;


You can use tsearch prefix matching, see http://www.postgresql.org/docs/9.0/interactive/textsearch-controls.html#TEXTSEARCH-PARSING-QUERIES

postgres=# select to_tsvector('tree') @@ to_tsquery('tr:*');
 ?column? 
----------
 t
(1 row)

It will only work for prefix search though, not if you want partial match at any position in the word.


Sounds like you simply want wildcard matching.

  • One option, as previously mentioned is trigrams. My (very) limited experience with it was that it was too slow on massive tables for my liking (some cases slower than a LIKE). As I said, my experience with trigrams is limited, so I might have just been using it wrong.

  • A second option you could use is the wildspeed module: http://www.sai.msu.su/~megera/wiki/wildspeed (you'll have to build & install this tho).

The 2nd option will work for suffix/middle matching as well. Which may or may not be more than you're looking for.

There are a couple of caveats (like size of the index), so read through that page thoroughly.


select * from test, to_tsquery('tree') as q 
where vectors @@ q OR xxxx LIKE ('%tree%')

':*' is to specify prefix matching.


It can be done with trigrams but it's not part of tsearch2.

You can view the manual here: http://www.postgresql.org/docs/9.0/interactive/pgtrgm.html

Basically what the pg_tgrm module does is split a word in all it's parts so it can search for those separate parts.

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