The following are the most widely used Sql statments in database testing:
1. Use Database
2. Select
3. Insert
4. Update
5. Delete
6. Drop
7. Alter
8. Modify Structure
9. Join(Inner and outer)
10. Views
11. Commit
12. Roll Back
13. Set Transition on/off
14. Envoke
15. Grant
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The most common command is SELECT, selecting the record based on various conditions using JOIN statements. Also DECODE an CASE statements are used.
Insert and update commands are also used followed by commit command.
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The Transact-SQL commands most often used by a tester are:
USE database_name SELECT column_names FROM table_name
SELECT DISTINCT column_name FROM table_name'
SELECT column_name FROM table_name WHERE condition
SELECT column_name FROM table_name WHERE condition1 AND condition2
SELECT column_name FROM table_name WHERE condition1 OR condition2
SELECT column_name FROM table_name WHERE column_name IN (value1, value2, ...)
SELECT column_name FROM table_name WHERE column_name BETWEEN value1 AND value2
SELECT column_name FROM table_name WHERE column_name LIKE pattern
SELECT column_name FROM table_name WHERE condition ORDER BY column_name [ASC, DESC]
SELECT AVG column_name FROM table_name
SELECT COUNT column_name FROM table_name
SELECT MAX column_name FROM table_name
SELECT MIN column_name FROM table_name
SELECT SUM column_name FROM table_name
SELECT column_name1 SUM column_name2 FROM table_name GROUP BY column_name1
SELECT column_name1 SUM column_name2 FROM table_name GROUP BY column_name1 HAVING arithmetic function condition
SELECT table_alias.column_name1 column_alias FROM table_name table_alias
SELECT table_alias.column_name1 AS column_alias FROM table_name AS table_alias
SELECT column_names FROM table_name1 JOIN table_name2 ON table_name1.join1 = table_name2.join2 WHERE conditionSELECT column_names FROM table_name1 INNER JOIN table_name2 ON table_name1.join1 = table_name2.join2 WHERE conditionSELECT column_names FROM table_name1 OUTER JOIN table_name2 ON table_name1.join1 = table_name2.join2 WHERE condition INSERT INTO table_name (column1, column2, …) VALUES (value1, value2, …) UPDATE table_name SET column1 = “new_value” WHERE conditionUPDATE table_name SET column1 = “new_value” WHERE condition1 AND condition2UPDATE table_name SET column1 = “new_value” WHERE condition1 OR condition2
DELETE FROM table_name WHERE condition
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dadhichi golla
Answered On : Feb 23rd, 2012
select ename,dept,sal from emp group by ename having dept order by sal
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