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] …
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 …
sql - Not equal <> != operator on NULL - Stack Overflow
Apr 14, 2011 · 11 In SQL, anything you evaluate / compute with NULL results into UNKNOWN This is why SELECT * FROM MyTable WHERE MyColumn != NULL or SELECT * FROM …
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 WITH clause example - Stack Overflow
Sep 23, 2012 · 353 The SQL WITH clause was introduced by Oracle in the Oracle 9i release 2 database. The SQL WITH clause allows you to give a sub-query block a name (a process also …
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:
sql - Concatenate text from multiple rows into a single text string ...
Consider a database table holding names, with three rows: Peter Paul Mary Is there an easy way to turn this into a single string of Peter, Paul, Mary?
sql - Copy data into another table - Stack Overflow
How to copy/append data from one table into another table with same schema in SQL Server? Edit: let's say there is a query select * into table1 from table2 where 1=1 which creates table1 …
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 to find the number of distinct values in a column
Apr 5, 2019 · I can select all the distinct values in a column in the following ways: SELECT DISTINCT column_name FROM table_name; SELECT column_name FROM table_name …