I have a MySQL query that joins two tables
- Voters
Households they join on voters.household_id and household.id
Now what i need to do is to modify it where the voter table is joined to a third table called elimination, along voter.id and elimination.voter_id, how ever the catch is that i want to exclude any records in the voter table that have a corresponding record in the elimination table. how do i craft a query to do this?
this is my current query
SELECT `voter`.`ID`, `voter`.`Last_Name`, `voter`.`First_Name`,
`voter`.`Middle_Name`, `voter`.`Age`, `voter`.`Sex`,
`voter`.`Party`, `voter`.`Demo`, `voter`.`PV`,
`household`.`Address`, `household`.`City`, `household`.`Zip`
FROM (`voter`)
JOIN `household` ON `voter`.`House_ID`=`household`.`id`
WHERE `CT` = '5'
AND `Precnum` = 'CTY3'
AND `Last_Name` LIKE '%Cumbee%'
AND `First_Name` LIKE '%John%'
ORDER BY `Last_Name` ASC
LIMIT 30
-
Try adding the following to your WHERE clause:
AND `voter`.`id` NOT IN (SELECT `voter_id` FROM (`elimination`))
-
I'd probably use a Left Join, which will return rows even if there's no match, and then you can select only the rows with no match by checking for NULLs.
So, something like:
SELECT V.* FROM voter V LEFT JOIN elimination E ON V.id = E.voter_id WHERE E.voter_id IS NULL
Whether that's more or less efficient than using a subquery depends on optimization, indexes, whether its possible to have more than one elimination per voter, etc.
-----sharks
-
I'd use a 'where not exists' -- exactly as you suggest in your title:
SELECT `voter`.`ID`, `voter`.`Last_Name`, `voter`.`First_Name`, `voter`.`Middle_Name`, `voter`.`Age`, `voter`.`Sex`, `voter`.`Party`, `voter`.`Demo`, `voter`.`PV`, `household`.`Address`, `household`.`City`, `household`.`Zip` FROM (`voter`) JOIN `household` ON `voter`.`House_ID`=`household`.`id` WHERE `CT` = '5' AND `Precnum` = 'CTY3' AND `Last_Name` LIKE '%Cumbee%' AND `First_Name` LIKE '%John%' AND NOT EXISTS ( SELECT * FROM `elimination` WHERE `elimination`.`voter_id` = `voter`.`ID` ) ORDER BY `Last_Name` ASC LIMIT 30
That may be marginally faster than doing a left join (of course, depending on your indexes, cardinality of your tables, etc), and is almost certainly much faster than using IN.
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