Looking to improve this mysql select statement for a search query:
Select * from table WHERE ( user = '$search_query'
OR user LIKE '$search_query %'
OR keyword LIKE '$search_query'
OR tag LIKE '$search_query'
OR tag LIKE '% $search_query'
OR tag LIKE '% $search_query%'
OR tag LIKE '$search_开发者_C百科query%'
OR REPLACE(question, ',' ,'') LIKE '$search_query %'
OR REPLACE(question, ',' ,'') LIKE '% $search_query'
OR REPLACE(question, ',' ,'') LIKE '% $search_query %'
OR REPLACE( REPLACE( REPLACE( REPLACE( REPLACE( REPLACE( REPLACE(question, '\'', ''), ',', ''), '.',''), ':',''), ';',''), '!',''), '?','') LIKE '%$search_query%'
)
The reason it's broke down the way it is, is because say if someone searches for "art", I don't want it showing results for "heart" as well.
I really need to have of these same functions but running fewer resources.
If your table is MyISAM
, you can create a FULLTEXT
index on it:
CREATE FULLTEXT INDEX fx_mytable_user_tag_question ON mytable (user, tag, question)
SELECT *
FROM mytable
WHERE MATCH(user, tag, question) AGAINST ('+some*' IN BOOLEAN MODE)
This query will return some
and something
but not awesome
.
Actually, the first step (creating the index) is not required, however, it will speed up the queries and allow more complex searches (not limited to BOOLEAN MODE
) and relevance ranging.
By default, minimal length of a search query is 4
characters, so art
mentioned in your example would not be found.
To work around this, you will have to change parameter ft_min_word_len
in server settings.
It looks like
OR tag LIKE '$search_query'
OR tag LIKE '$search_query%'
would return identical results to only running
OR tag LIKE '$search_query%'
Same with
OR tag LIKE '% $search_query'
OR tag LIKE '% $search_query%'
Searching around for this question, I learned that MySQL supports regular expression searches. Using these, if you are able to specify what pattern the %
should match. This would help with all those pesky spaces, because you could just use \s?
.
Restructure your database such that tags are stored in a separate table, with one row for each tag on a question, so that you can run a query like:
SELECT * FROM question
WHERE question_id IN (
SELECT question_id FROM question_tags WHERE tag = '$search_query'
) OR <...>
Depending on how you want search keywords to work, you may be able to use a similar solution there.
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