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 K-L

diff --git a/contrib/pg_trgm/README.pg_trgm b/contrib/pg_trgm/README.pg_trgm
index ac2eb012de5136ee56fe4cd5d62df3c535fad94b..608c30c455c529adaed5e1f428d794092f43b1a4 100644 (file)
--- a/contrib/pg_trgm/README.pg_trgm
+++ b/contrib/pg_trgm/README.pg_trgm
@@ -100,11 +100,15 @@ Tsearch2 Integration
    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'.
+   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: