sql - NOT IN vs NOT EXISTS - Stack Overflow
Which of these queries is the faster? NOT EXISTS: SELECT ProductID, ProductName FROM Northwind..Products p WHERE NOT EXISTS ( SELECT 1 FROM Northwind..[Order Details] …
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 …
How do I perform an IF...THEN in an SQL SELECT?
Sep 15, 2008 · The CASE statement is the closest to IF in SQL and is supported on all versions of SQL Server.
sql - Find all tables containing column with specified name - Stack ...
@Revious INFORMATION_SCHEMA views included in SQL Server comply with the ISO standard definition for the INFORMATION_SCHEMA., sys.columns, sys.tables is Microsoft Sql Server …
sql - Incorrect syntax near '' - Stack Overflow
SELECT TOP 1000 * FROM master.sys.procedures as procs left join master.sys.parameters as params on procs.object_id = params.object_id This seems totally correct, but I keep getting …
sql server - Database stuck in "Restoring" state - Stack Overflow
Ran into a similar issue while restoring the database using SQL server management studio and it got stuck into restoring mode. After several hours of issue tracking, the following query worked …
sql - Exclude a column using SELECT * [except columnA] FROM …
We all know that to select all columns from a table, we can use SELECT * FROM tableA Is there a way to exclude column(s) from a table without specifying all the columns? SELECT * [except …
SQL SELECT WHERE field contains words - Stack Overflow
Jan 12, 2013 · SQL SELECT WHERE field contains words Asked 12 years, 10 months ago Modified 7 months ago Viewed 4.9m times
How to select unique records by SQL - Stack Overflow
How to select unique records by SQL Asked 16 years, 1 month ago Modified 1 year, 11 months ago Viewed 747k times
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 …