VIEWPOINT #1 : You many need to take a look at column value population
SELECT COUNT(1) rowount,type FROM games GROUP BY type WITH ROLLUP;
SELECT COUNT(1) rowcount,leaguelevel FROM games GROUP BY leaguelevel WITH ROLLUP;
From your question, I gather two things:
- The number of rows in games with type='R' must be a low number against the number of rows in the games table.
- The number of rows in games with leaguelevel='mlb' must be a high number (greater than 5% of the table) against the number of rows in the games table. (5% is a rule-of-thumb number in the eyes of Query Optimizers)
VIEWPOINT #2 : You may need to refactor this query
Notice that query will perform the WHERE portion after all JOINs are complete. If the WHERE portion could be performed earlier that could help reduce the time. Try reorganizing the query like this:
SELECT * FROM hits
JOIN stadiums ON stadiums.gameName = hits.gameName
JOIN players ON (players.gameName = hits.gameName AND players.id = hits.batter)
JOIN (SELECT * FROM games WHERE leagueLevel = 'mlb') games
ON games.gameName = hits.gameName
LIMIT 50;
VIEWPOINT #3 : Retrieve only the columns you really need
I see you have SELECT * and you have four tables (hits, stadiums, players, games). You will have a lot of duplicate data to drag into the query, particularly when dragging the gameName column from all four tables.
You should reorganize the query to bring only one gameName column:
SELECT hits.gameName,hits.*,players.*,staduims.*,games.* FROM hits
JOIN stadiums ON stadiums.gameName = hits.gameName
JOIN players ON (players.gameName = hits.gameName AND players.id = hits.batter)
JOIN (SELECT * FROM games WHERE leagueLevel = 'mlb') games
ON games.gameName = hits.gameName
LIMIT 50;
Additionally, if you do not need every column from the hits tables, then only include the column you know you will access. The same goes for players, stadiums, and games.
In other words, as an example, if you only need the playerName from the player table, then you do not need player.* in the SELECT. You will need just player.playerName.
VIEWPOINT #4 : You may need to index the leagueLevel column
You will need to do the following to make the needed index:
ALTER TABLE games ADD INDEX (leagueLevel);
Before doing so, run this
SELECT COUNT(1) rowcount,leaguelevel FROM games GROUP BY leaguelevel WITH ROLLUP;
Any value for leagueLevel whose count is greater than 5% of the table will cause the MySQL Query Optimizer not to use the index.
Best Answer
There are several semantic issues with the structure of the query.
OR
with conditions from various different tables, in combination with the Cartesian product of these 4 tables looks very weird. I find unlikely that this is what you actually want.DISTINCT
. That's probably needed only because of the weird structure mentioned above.So, I suggest a few things:
DISTINCT
JOIN .. ON
syntax or - probably makes more sense in this case - rewrite usingEXISTS
subqueries which can be combined withOR
.The query becomes:
If the above query returns the wanted results, then add an index on
(Offices_OfficeID, User_ID)
on each of the 3 tables.I assume you already have an index on
Users (UserID)
.