MySQL Join Where Not Exists
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
. However 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
Solution 1:
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 NULL
s.
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.
Solution 2:
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.
Solution 3:
There are three possible ways to do that.
-
Option
SELECT lt.* FROM table_left lt LEFT JOIN table_right rt ON rt.value = lt.value WHERE rt.value IS NULL
-
Option
SELECT lt.* FROM table_left lt WHERE lt.value NOT IN ( SELECT value FROM table_right rt )
-
Option
SELECT lt.* FROM table_left lt WHERE NOT EXISTS ( SELECT NULL FROM table_right rt WHERE rt.value = lt.value )