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29. <> 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.
In SQL, anything you evaluate / compute with NULL results into UNKNOWN. This is why SELECT * FROM MyTable WHERE MyColumn != NULL or SELECT * FROM MyTable WHERE MyColumn <> NULL gives you 0 results. To provide a check for NULL values, isNull function is provided. Moreover, you can use the IS operator as you used in the third query.
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.
46. 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.
Unfortunately, string concatenation is not completely portable across all sql dialects: ansi sql: || (infix operator) mysql: concat ( vararg function ). caution: || means 'logical or' (It's configurable, however; thanks to @hvd for pointing that out) oracle: || (infix operator), concat ( caution: function of arity 2 only !
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".
However, if a single record is matched by the inner subquery, the NOT EXISTS operator will return false, and the subquery execution can be stopped. To match all student records that have no associated student_grade with a value lower than 9, we can run the following SQL query: SELECT. id, first_name, last_name. FROM.
See working demo: if then without case in SQL Server. For start, you need to work out the value of true and false for selected conditions. Here comes two NULLIF: for true: ISNULL(NULLIF(p.[Instock], 'Y'), 1) for false: ISNULL(NULLIF(p.[Instock], 'N'), 0) combined together gives 1 or 0. Next use bitwise operators.
Option 4: Common Table Expression with ROW_NUMBER () In the Common Table Expression (CTE), select the ROW_NUMBER (), partitioned by the group column and ordered in the desired order. Then SELECT only the records that have ROW_NUMBER() = 1: WITH CTE AS (. SELECT *. ,row_number() OVER(PARTITION BY word, num ORDER BY id) AS row_num. FROM dupes.
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 ...