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<> operator means not equal to in MS SQL. It compares two expressions (a comparison operator). When you compare nonnull expressions, the result is TRUE if the left operand is not equal to the right operand; otherwise, the result is FALSE. If either or both operands are NULL, see the topic SET ANSI_NULLS (Transact-SQL). See here : Not Equal To
<> is Standard SQL-92; != is its equivalent. Both evaluate for values, which NULL is not -- NULL is a placeholder to say there is the absence of a value. Which is why you can only use IS NULL/IS NOT NULL as predicates for such situations. This behavior is not specific to SQL Server. All standards-compliant SQL dialects work the same way.
The @CustID means it's a parameter that you will supply a value for later in your code. This is the best way of protecting against SQL injection. Create your query using parameters, rather than concatenating strings and variables. The database engine puts the parameter value into where the placeholder is, and there is zero chance for SQL injection.
Yes; Microsoft themselves recommend using <> over != specifically for ANSI compliance, e.g. in Microsoft Press training kit for 70-461 exam, "Querying Microsoft SQL Server", they say "As an example of when to choose the standard form, T-SQL supports two “not equal to” operators: <> and !=. The former is standard and the latter is not.
Using "=" is a tiny bit faster in this case (searching for an exact match) - you can check this yourself by having the same query twice in SQL Server Management Studio, once using "=", once using "LIKE", and then using the "Query" / "Include actual execution plan".
The CASE expression cannot be used to control the flow of execution of Transact-SQL statements, statement blocks, user-defined functions, and stored procedures. If your needs can not be satisfied by these limitations (for example, a need to return differently shaped result sets dependent on some condition) then SQL Server does also have a ...
SQL Server requires the + operator (thanks to HVD for setting me straight!). Share. Improve this answer ...
When I perform SELECT * FROM table I got results like below: 1 item1 data1 2 item1 data2 3 item2 data3 4 item3 data4 As you can see, there are dup records from column2 (item1 are dupped). So how
In order to filter the student records that have a 10 grade in Math, we can use the EXISTS SQL operator, like this: SELECT id, first_name, last_name FROM student WHERE EXISTS ( SELECT 1 FROM student_grade WHERE student_grade.student_id = student.id AND student_grade.grade = 10 AND student_grade.class_name = 'Math' ) ORDER BY id
It looks like you are missing one set of brackets: SELECT Store_Id , Paid_Out_Amount , Paid_Out_Comment , Paid_Out_Datetime , Update_UserName , Till_Number FROM Paid_Out_Tb WHERE Store_Id = 1929 AND Paid_Out_Datetime >= DATEADD(day, DATEDIFF(day, 0, GETDATE()) - 1, 0) AND Paid_Out_Datetime < DATEADD(day, DATEDIFF(day, 0, GETDATE()), 0) AND ( Paid_Out_Amount > 50 OR LOWER(Paid_Out_Comment) LIKE ...