This adds mention of my latest tweak to the tsearch2/pg_trgm
integration. It is much better to create a word list of unstemmed words
than stemmed ones.
Chris
Index: contrib/pg_trgm/README.pg_trgm
===================================================================
RCS file: /projects/cvsroot/pgsql/contrib/pg_trgm/README.pg_trgm,v
retrieving revision 1.1
diff -c -r1.1 README.pg_trgm
*** contrib/pg_trgm/README.pg_trgm 31 May 2004 17:18:11 -0000 1.1
--- contrib/pg_trgm/README.pg_trgm 26 Nov 2004 01:31:39 -0000
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*** 100,110 ****
The first step is to generate an auxiliary table containing all
the unique words in the Tsearch2 index:
! CREATE TABLE words AS
! SELECT word FROM stat('SELECT vector FROM documents');
! Where 'documents' is the table that contains the Tsearch2 index
! column 'vector', of type 'tsvector'.
Next, create a trigram index on the word column:
--- 100,114 ----
The first step is to generate an auxiliary table containing all
the unique words in the Tsearch2 index:
! CREATE TABLE words AS SELECT word FROM
! stat('SELECT to_tsvector(''simple'', bodytext) FROM documents');
! Where 'documents' is a table that has a text field 'bodytext'
! that TSearch2 is used to search. The use of the 'simple' dictionary
! with the to_tsvector function, instead of just using the already
! existing vector is to avoid creating a list of already stemmed
! words. This way, only the original, unstemmed words are added
! to the word list.
Next, create a trigram index on the word column:
