Say that someone came up to you and said we're going to cut down the amount of SQL that we write by replacing equals with IN
. The use would be both for single scalar values and lists of numbers.
SELECT * FROM table WHERE id = 1
OR
SELECT * FROM table WHERE id IN (1)
Are these statement equivalent to what the optimizer produces?
This looks really simple on the surface, but it leads to simplification for two reasons: 1. large blocks of SQL don't need to be duplicated, and 2. we don't overuse dynamic SQL.
This is a contrived example, but consider the following.
select a.* from tablea a join tableb b on a.id = b.id join tablec c on b.id2 = c.id2 left join tabled d on c.id3 = c.id3 where d.type = 1
... and the same again for the more than one case
select a.* from tablea a join tableb b on a.id = b.id join tablec c on b.id2 = c.id2 left join tabled d on c.id3 = c.id3 where d.type in (1,2,3,4)
(this isn't even a large statement)
conceivably you could do string concatenation, but this isn't desirable in light of ORM usage, and dynamic SQL string concatenation always starts off with good intentions (at least in these parts).
In SQL, you can use the >= operator to test for an expression greater than or equal to. Let's use the same customers table as the previous example. In this example, the SELECT statement would return all rows from the customers table where the customer_id is greater than or equal to 6000.
The sql equal operator is used to check whether two expressions are equal or not. If it's equal, the condition will be true and will return matched records. The sql not equal operator is used to check whether two expressions are equal or not.
Difference between SQL Not Equal Operator <> and != to do inequality test between two expressions. Both operators give the same output. The only difference is that '<>' is in line with the ISO standard while '!= ' does not follow ISO standard.
The two will produce the same execution plan - either a table scan
, index scan
, or index seek
, depending on if/how you have your table indexed.
You can see for yourself - Displaying Graphical Execution Plans (SQL Server Management Studio) - See the section called "Using the Execution Plan Options".
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