What does <> (angle brackets) mean in MS-SQL Server?
Nov 8, 2013 · What does <> (angle brackets) mean in MS-SQL Server? Asked 11 years, 11 months ago Modified 4 years, 2 months ago Viewed 81k times
Should I use != or <> for not equal in T-SQL? - Stack Overflow
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 …
SQL: IF clause within WHERE clause - Stack Overflow
Sep 18, 2008 · Is it possible to use an IF clause within a WHERE clause in MS SQL? Example: WHERE IF IsNumeric(@OrderNumber) = 1 OrderNumber = @OrderNumber ELSE OrderNumber LIKE '%' + @
sql - Incorrect syntax near '' - Stack Overflow
I'm trying to run the following fairly simple query in SQL Server Management Studio: SELECT TOP 1000 * FROM master.sys.procedures as procs left join master.sys.parameters as params on p...
sql - Efficiently convert rows to columns - Stack Overflow
I'm looking for an efficient way to convert rows to columns in SQL Server, I heard that PIVOT is not very fast, and I need to deal with lot of records. This is my example: Id Value ColumnName 1 John
Combining "LIKE" and "IN" for SQL Server - Stack Overflow
Combining "LIKE" and "IN" for SQL Server [duplicate] Asked 15 years, 11 months ago Modified 1 year, 8 months ago Viewed 1.4m times
How to select unique records by SQL - Stack Overflow
How to select unique records by SQL Asked 16 years ago Modified 1 year, 9 months ago Viewed 745k times
SQL - STDEVP or STDEV and how to use it? - Stack Overflow
SQL - STDEVP or STDEV and how to use it? Asked 12 years, 8 months ago Modified 3 years, 1 month ago Viewed 128k times
SQL WHERE.. IN clause multiple columns - Stack Overflow
I need to implement the following query in SQL Server: SELECT * FROM table1 WHERE (CM_PLAN_ID, Individual_ID) IN ( SELECT CM_PLAN_ID, Individual_ID FROM …
sql - Delete duplicate rows keeping the first row - Stack Overflow
10 To delete the duplicate rows from the table in SQL Server, you follow these steps: Find duplicate rows using GROUP BY clause or ROW_NUMBER () function. Use DELETE statement to remove the …