Your database contains a table named Purchases. The table includes a DATETIME column named PurchaseTime that stores the date and time each purchase is
made. There is a non- clustered index on the PurchaseTime column.
The business team wants a report that displays the total number of purchases made on the current day.
You need to write a query that will return the correct results in the most efficient manner.
Which Transact-SQL query should you use?
A.
SELECT COUNT(*)
FROM Purchases
WHERE PurchaseTime = CONVERT(DATE, GETDATE())
B.
SELECT COUNT(*)
FROM Purchases
WHERE PurchaseTime = GETDATE()
C.
SELECT COUNT(*)
FROM Purchases
WHERE CONVERT(VARCHAR, PurchaseTime, 112) = CONVERT(VARCHAR, GETDATE(), 112)
D.
SELECT COUNT(*)
FROM Purchases
WHERE PurchaseTime >= CONVERT(DATE, GETDATE())
AND PurchaseTime <DATEADD(DAY, 1, CONVERT(DATE, GETDATE()))
Explanation:
Two answers will return the correct results (the “WHERE CONVERT…” and “WHERE … AND … ” answers).
The correct answer for Microsoft would be the answer that is most “efficient”. Anybody have a clue as to which is most efficient? In the execution plan, the one that
I’ve selected as the correct answer is the query with the shortest duration. Also, the query answer with “WHERE CONVERT…” threw warnings in the execution
plan…something about affecting CardinalityEstimate and SeekPlan.
I also found this article, which leads me to believe that I have the correct answer:
http://technet.microsoft.com/en-us/library/ms181034.aspx