While reading some SQL Tuning-related documentation, I found this:
SELECT COUNT(*) :
- Counts the number of rows.
- Often is improperly used to verify the existence of a record.
Is SELECT COUNT(*) really that bad?
What's the proper way to verify the existence of a record?
9 Answers
It's better to use either of the following:
-- Method 1.
SELECT 1
FROM table_name
WHERE unique_key = value;
-- Method 2.
SELECT COUNT(1)
FROM table_name
WHERE unique_key = value;The first alternative should give you no result or one result, the second count should be zero or one.
How old is the documentation you're using? Although you've read good advice, most query optimizers in recent RDBMS's optimize SELECT COUNT(*) anyway, so while there is a difference in theory (and older databases), you shouldn't notice any difference in practice.
I would prefer not use Count function at all:
IF [NOT] EXISTS ( SELECT 1 FROM MyTable WHERE ... ) <do smth>For example if you want to check if user exists before inserting it into the database the query can look like this:
IF NOT EXISTS ( SELECT 1 FROM Users WHERE FirstName = 'John' AND LastName = 'Smith' )
BEGIN INSERT INTO Users (FirstName, LastName) VALUES ('John', 'Smith')
ENDYou can use:
SELECT 1 FROM MyTable WHERE <MyCondition>If there is no record matching the condition, the resulted recordset is empty.
4The other answers are quite good, but it would also be useful to add LIMIT 1 (or the equivalent, to prevent the checking of unnecessary rows.
SELECT COUNT(1) FROM MyTable WHERE ...will loop thru all the records. This is the reason it is bad to use for record existence.
I would use
SELECT TOP 1 * FROM MyTable WHERE ...After finding 1 record, it will terminate the loop.
4You can use:
SELECT 1 FROM MyTable WHERE... LIMIT 1Use select 1 to prevent the checking of unnecessary fields.
Use LIMIT 1 to prevent the checking of unnecessary rows.
You can use:
SELECT COUNT(1) FROM MyTable WHERE ... or
WHERE [NOT] EXISTS
( SELECT 1 FROM MyTable WHERE ... )This will be more efficient than SELECT * since you're simply selecting the value 1 for each row, rather than all the fields.
There's also a subtle difference between COUNT(*) and COUNT(column name):
COUNT(*)will count all rows, including nullsCOUNT(column name)will only count non null occurrences of column name
Other option:
SELECT CASE WHEN EXISTS ( SELECT 1 FROM [MyTable] AS [MyRecord]) THEN CAST(1 AS BIT) ELSE CAST(0 AS BIT)
ENDI'm using this way:
IF (EXISTS (SELECT TOP 1 FROM Users WHERE FirstName = 'John'), 1, 0) AS DoesJohnExist
