Developers Cloud

First Part :  http://www.developerscloud.org/2013/09/tips-to-increase-your-transact-sql.html 11. Use 'BETWEEN' operator instead of >= and <= operators to select data in range. 12. Wisely use the EXISTS, IN clauses in sub query select statement. - IN has the slowest performance as data is filtered between the range. - IN is efficient when most of the filter criteria is in the sub-query. - EXISTS is efficient when most of the filter criteria is in the main query. 13. Avoid 'NOT IN' in select clause. Because when we use “NOT IN” in SQL queries, the query optimizer uses 'Nested table scan' technique  to perform the activity 14. Use Stored Procedure, functions(UDF) and views instead of heavy-duty queries. - The application must first convert the binary value into a character string (which doubles its size, thus increasing network traffic and taking more time) before it can be sent to the server. And when the  server receives the charac...

Given below are little known tips that you can use to ensure your Transact-SQL queries are performing in the  most efficient manner possible. 1. Avoid '*' in select query.      Restrict the queries result set by returning only the particular columns from the table and not all the  table's columns. The sql query becomes faster if you use the actual column names in SELECT  statement instead of than '*'. 2. Avoid COUNT(*) in select statement to check the existence of records in table.       Instead use IF EXISTS() to check records. - Write the query as: IF EXISTS (SELECT * FROM table_name WHERE column_name = ‘xxx’) - Instead of : SELECT COUNT(*) FROM table_name WHERE column_name = ‘xxx’ 3. Use alternate of SELECT COUNT(*).      Use an alternative way instead of the SELECT COUNT(*) statement to count the number     of records in  table.         - SELECT CO...