For the first query, the obvious index on score will give you optimal results.
The second query is founded on this phrase: "Like '%Red%' " and no index will help you there. This is an anti-pattern, I am afraid. The only way your database can satisfy that expression is to test each and every record in the that database (the test itself being expensive as infix finding is iterative). Perhaps you should consider this approach instead: http://dev.mysql.com/doc/refman/5.5/en/fulltext-natural-language.html On Thu, Oct 6, 2011 at 10:59 AM, Tompkins Neil <neil.tompk...@googlemail.com > wrote: > Hi, > > Can anyone help and offer some advice with regards MySQL indexes. > Basically > we have a number of different tables all of which have the obviously > primary > keys. We then have some queries using JOIN statements that run slowly than > we wanted. How many indexes are recommended per table ? For example > should > I have a index on all fields that will be used in a WHERE statement ? > Should the indexes be created with multiple fields ? A example of two > basic queries > > SELECT auto_id, name, score > FROM test_table > WHERE score > 10 > ORDER BY score DESC > > > SELECT auto_id, name, score > FROM test_table > WHERE score > 10 > AND name Like '%Red%' > ORDER BY score DESC > > How many indexes should be created for these two queries ? > > Thanks, > Neil > -- - michael dykman - mdyk...@gmail.com May the Source be with you.
