What's the best in performance to determined if an item exist or not specially if the table contain more than 700,000 row
if (Select count(id) from Registeration where email='[email protected]') > 0
print 'Exist'
else
print 'Not Exist'
OR
if Exists(Select id from Registeration where email='[email protected]')
print 'Exist'
else
print 'Not Exist'
Answer: Using the T-SQL EXISTS keyword to perform an existence check is almost always faster than using COUNT(*). EXISTS can stop as soon as the logical test proves true, but COUNT(*) must count every row, even after it knows one row has passed the test.
To test whether a row exists in a MySQL table or not, use exists condition. The exists condition can be used with subquery. It returns true when row exists in the table, otherwise false is returned. True is represented in the form of 1 and false is represented as 0.
In this case, COUNT(id) counts the number of rows in which id is not NULL .
EXISTS, always
Edit, to be clear
Of course, in this case if the email column is unique and indexed it will be close.
Generally, EXISTS will use less resources and is more correct too. You are looking for existence of a row, not "more than zero" even if they are the same
Edit2: In the EXISTS, you can use NULL, 1, ID, or even 1/0: it isn't checked...
21 May 2011 edit:
It looks like this was optimised in SQL Server 2005+ so COUNT is now the same as EXISTS in this case
also take in consideration that Count() only return int in which if you count some data that exceed int it will generate error
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