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प्रश्न
Write a SQL statement to create a table for employees having any five fields and create a table constraint for the employee table.
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उत्तर
Table: emp
CREATE TABLE emp
(
empno integer NOTNULL,
empfname char(20),
emplname char(20),
Designation char(20),
Basicpay integer,
PRIMARY KEY (empfname,emplname) → Table constraint
);
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संबंधित प्रश्न
Differentiate Unique and Primary Key constraint.
Write the difference between table constraint and column constraint?
Which component of SQL lets inserts values in tables and which lets to create a table?
Write a SQL statement to modify the student table structure by adding a new field.
Write the use of the Savepoint command with an example.
Consider the following employee table. Write SQL commands for the question.
| EMP CODE | NAME | DESIG | PAY | ALLO WANCE |
| S1001 | Hariharan | Supervisor | 29000 | 12000 |
| P1002 | Shaji | Operator | 10000 | 5500 |
| P1003 | Prasad | Operator | 12000 | 6500 |
| C1004 | Manjima | Clerk | 8000 | 4500 |
| M1005 | Ratheesh | Mechanic | 20000 | 7000 |
To display the details of all employees in descending order of pay.
Consider the following employee table. Write SQL commands for the question.
| EMP CODE | NAME | DESIG | PAY | ALLO WANCE |
| S1001 | Hariharan | Supervisor | 29000 | 12000 |
| P1002 | Shaji | Operator | 10000 | 5500 |
| P1003 | Prasad | Operator | 12000 | 6500 |
| C1004 | Manjima | Clerk | 8000 | 4500 |
| M1005 | Ratheesh | Mechanic | 20000 | 7000 |
To remove the employees who are mechanics.
Consider the following employee table. Write SQL commands for the question.
| EMP CODE | NAME | DESIG | PAY | ALLO WANCE |
| S1001 | Hariharan | Supervisor | 29000 | 12000 |
| P1002 | Shaji | Operator | 10000 | 5500 |
| P1003 | Prasad | Operator | 12000 | 6500 |
| C1004 | Manjima | Clerk | 8000 | 4500 |
| M1005 | Ratheesh | Mechanic | 20000 | 7000 |
To display the details of all employees who are operators.
What are the components of SQL? Write the commands in each.
Construct the following SQL statement in the student table-
SELECT statement using GROUP BY clause.
