copy and paste this google map to your website or blog!
Press copy button and paste into your blog or website.
(Please switch to 'HTML' mode when posting into your blog. Examples: WordPress Example, Blogger Example)
Input Form:Deal with this potential dealer,buyer,seller,supplier,manufacturer,exporter,importer
(Any information to deal,buy, sell, quote for products or service)
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] od WHERE p
Should I use != or lt; gt; 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 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
SQL: IF clause within WHERE clause - Stack Overflow 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 '%' + @
How to calculate percentage with a SQL statement Due to precedence of SQL statements it will be the same however, due to data types if using 100 you can still get the result rounded to 0 decimals you desire for the % where as if you put it after the division operation you would have to make sure that you cast to a data type that can handle the decimal places otherwise you will end up with
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 the following error: Msg 102, Level 15, State 1, Line 6 Incorrect syntax near '' It works if I take out the join and only do a simple select:
Convert Rows to columns using Pivot in SQL Server Pivot is one of the SQL operator which is used to turn the unique data from one column into multiple column in the output This is also mean by transforming the rows into columns (rotating table) Let us consider this table, If I want to filter this data based on the types of product (Speaker, Glass, Headset) by each customer, then use Pivot