Efficient search with partial word match and relevancy score (FULLTEXT)
How can I do a MySQL search which will match partial words but also provide accurate relevancy sorting?
SELECT name, MATCH(name) AGAINST ('math*' IN BOOLEAN MODE) AS relevance
FROM subjects
WHERE MATCH(name) AGAINST ('math*' IN BOOLEAN MODE)
The problem with boolean mode is the relevancy always returns 1, so the sorting of results isn't very good. For example, if I put a limit of 5 on the search results the ones returned don't seem to be the most relevant sometimes.
If I search in natural language mode, my understanding is that the relevancy score is useful but I can't match partial words.
Is there a way to perform a query which fulfils all of these criteria:
The best I've got so far is:
SELECT name
FROM subjects
WHERE name LIKE 'mat%'
UNION ALL
SELECT name
FROM subjects
WHERE name LIKE '%mat%' AND name NOT LIKE 'mat%'
But I would prefer not to be using LIKE .
I obtained a good solution in this (somewhat) dupliate question a year later:
MySQL - How to get search results with accurate relevance
The new InnoDB full-text search feature in MySQL 5.6 helps in this case. I use the following query:
SELECT MATCH(column) AGAINST('(word1* word2*) ("word1 word1")' IN BOOLEAN MODE) score, id, column
FROM table
having score>0
ORDER BY score
DESC limit 10;
where ( ) groups words into a subexpression. The first group has like word% meaning; the second looks for exact phrase. The score is returned as float.