Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- 1. SELECT NAME, SALARY, CITY, JDATE FROM EMPLOYEE;
- +---------+--------+-------------+------------+
- | NAME | SALARY | CITY | JDATE |
- +---------+--------+-------------+------------+
- | MARY | 40000 | HOWARD | 1976-10-12 |
- | SARAH | 30000 | PARIS | 1974-09-14 |
- | HENRY | 20100 | NEW DELHI | 1980-01-25 |
- | PETER | 23000 | NEW YORK | 1982-09-22 |
- | ROBERT | 12000 | BOSTON | 1988-10-27 |
- | MANILA | 15000 | LOS ANGELES | 1973-09-26 |
- | SENAINA | 21000 | MUMBAI | 1990-02-28 |
- | SHABEER | 12000 | CHENNAI | 2006-12-16 |
- +---------+--------+-------------+------------+
- 2. SELECT * FROM EMPLOYEE ORDER BY NAME ASC;
- +-----+---------+-------------+--------+-----------+------+------------+-------+
- | ENO | NAME | CITY | SALARY | JOB | DNO | JDATE | MGRID |
- +-----+---------+-------------+--------+-----------+------+------------+-------+
- | 107 | HENRY | NEW DELHI | 20100 | DIRECTOR | 103 | 1980-01-25 | NULL |
- | 114 | MANILA | LOS ANGELES | 15000 | CLERK | 101 | 1973-09-26 | 3421 |
- | 10 | MARY | HOWARD | 40000 | CLERK | 100 | 1976-10-12 | 2345 |
- | 110 | PETER | NEW YORK | 23000 | SALESMAN | 101 | 1982-09-22 | 3421 |
- | 113 | ROBERT | BOSTON | 12000 | CLERK | 102 | 1988-10-27 | 2345 |
- | 105 | SARAH | PARIS | 30000 | ANALYST | 101 | 1974-09-14 | 5432 |
- | 118 | SENAINA | MUMBAI | 21000 | SALESMAN | 103 | 1990-02-28 | 5432 |
- | 120 | SHABEER | CHENNAI | 12000 | ASST. DIR | 104 | 2006-12-16 | 2345 |
- +-----+---------+-------------+--------+-----------+------+------------+-------+
- 3. SELECT NAME, DNAME FROM DEPT, EMPLOYEE WHERE EMPLOYEE.DNO = DEPT.DEPTNO;
- +---------+-----------+
- | NAME | DNAME |
- +---------+-----------+
- | MARY | SALES |
- | SARAH | MARKETING |
- | HENRY | IT |
- | PETER | MARKETING |
- | ROBERT | FINANCE |
- | MANILA | MARKETING |
- | SENAINA | IT |
- | SHABEER | ACCOUNTS |
- +---------+-----------+
- 4. SELECT NAME FROM EMPLOYEE WHERE MGRID IS NULL;
- +-------+
- | NAME |
- +-------+
- | HENRY |
- +-------+
- 5. SELECT MGRID, COUNT(*) FROM EMPLOYEE GROUP BY MGRID;
- +-------+----------+
- | MGRID | COUNT(*) |
- +-------+----------+
- | NULL | 1 |
- | 2345 | 3 |
- | 3421 | 2 |
- | 5432 | 2 |
- +-------+----------+
- 6. SELECT JOB, MIN(SALARY), MAX(SALARY) FROM EMPLOYEE, DEPT WHERE EMPLOYEE.DNO = DEPT.DEPTNO GROUP BY DNAME;
- +-----------+-------------+-------------+
- | JOB | MIN(SALARY) | MAX(SALARY) |
- +-----------+-------------+-------------+
- | ASST. DIR | 12000 | 12000 |
- | CLERK | 12000 | 12000 |
- | DIRECTOR | 20100 | 21000 |
- | ANALYST | 15000 | 30000 |
- | CLERK | 40000 | 40000 |
- +-----------+-------------+-------------+
- 7. SELECT MAX(SALARY) FROM EMPLOYEE WHERE JOB IN ('CLERK', 'ANALYST');
- +-------------+
- | MAX(SALARY) |
- +-------------+
- | 40000 |
- +-------------+
- 8. SELECT DNAME, COUNT(*) FROM DEPT, EMPLOYEE WHERE DEPT.DEPTNO = 100 AND EMPLOYEE.DNO = DEPT.DEPTNO;
- +-------+----------+
- | DNAME | COUNT(*) |
- +-------+----------+
- | SALES | 1 |
- +-------+----------+
- 9. SELECT DNAME FROM EMPLOYEE, DEPT WHERE JOB = 'CLERK' AND EMPLOYEE.DNO = DEPT.DEPTNO;
- +-----------+
- | DNAME |
- +-----------+
- | SALES |
- | FINANCE |
- | MARKETING |
- +-----------+
- 10. SELECT DNO FROM EMPLOYEE GROUP BY DNO HAVING COUNT(*) < 2;
- +------+
- | DNO |
- +------+
- | 100 |
- | 102 |
- | 104 |
- +------+
- 11. SELECT NAME, CITY, DNAME FROM EMPLOYEE, DEPT WHERE DEPT.DEPTNO = EMPLOYEE.DNO;
- +---------+-------------+-----------+
- | NAME | CITY | DNAME |
- +---------+-------------+-----------+
- | MARY | HOWARD | SALES |
- | SARAH | PARIS | MARKETING |
- | HENRY | NEW DELHI | IT |
- | PETER | NEW YORK | MARKETING |
- | ROBERT | BOSTON | FINANCE |
- | MANILA | LOS ANGELES | MARKETING |
- | SENAINA | MUMBAI | IT |
- | SHABEER | CHENNAI | ACCOUNTS |
- +---------+-------------+-----------+
- 12. SELECT NAME, ENO, JOB FROM EMPLOYEE WHERE JOB LIKE '_n%';
- +-------+------+---------+
- | NAME | ENO | JOB |
- +-------+------+---------+
- | SARAH | 105 | ANALYST |
- +-------+------+---------+
- 13. SELECT ENO, NAME, JOB FROM EMPLOYEE WHERE NAME LIKE 's%';
- +-----+---------+-----------+
- | ENO | NAME | JOB |
- +-----+---------+-----------+
- | 105 | SARAH | ANALYST |
- | 118 | SENAINA | SALESMAN |
- | 120 | SHABEER | ASST. DIR |
- +-----+---------+-----------+
- 14. SELECT NAME, DNAME, LOC FROM EMPLOYEE, DEPT WHERE EMPLOYEE.DNO = DEPT.DEPTNO;
- +---------+-----------+------------+
- | NAME | DNAME | LOC |
- +---------+-----------+------------+
- | MARY | SALES | PARIS |
- | SARAH | MARKETING | NEW YORK |
- | HENRY | IT | WASHINGTON |
- | PETER | MARKETING | NEW YORK |
- | ROBERT | FINANCE | BOSTON |
- | MANILA | MARKETING | NEW YORK |
- | SENAINA | IT | WASHINGTON |
- | SHABEER | ACCOUNTS | CANADA |
- +---------+-----------+------------+
- 15. SELECT COUNT(*) FROM EMPLOYEE;
- +----------+
- | COUNT(*) |
- +----------+
- | 8 |
- +----------+
- 16. SELECT DNAME, COUNT(*), EMPLOYEE.DNO FROM EMPLOYEE, DEPT WHERE EMPLOYEE.DNO = DEPT.DEPTNO GROUP BY DNAME;
- +-----------+----------+------+
- | DNAME | COUNT(*) | DNO |
- +-----------+----------+------+
- | ACCOUNTS | 1 | 104 |
- | FINANCE | 1 | 102 |
- | IT | 2 | 103 |
- | MARKETING | 3 | 101 |
- | SALES | 1 | 100 |
- +-----------+----------+------+
- 17. SELECT MGRID, DEPT.DEPTNO, DNAME FROM DEPT, EMPLOYEE WHERE DEPT.DEPTNO = EMPLOYEE.DNO;
- +-------+--------+-----------+
- | MGRID | DEPTNO | DNAME |
- +-------+--------+-----------+
- | 2345 | 100 | SALES |
- | 5432 | 101 | MARKETING |
- | NULL | 103 | IT |
- | 3421 | 101 | MARKETING |
- | 2345 | 102 | FINANCE |
- | 3421 | 101 | MARKETING |
- | 5432 | 103 | IT |
- | 2345 | 104 | ACCOUNTS |
- +-------+--------+-----------+
- 18. SELECT SUBSTRING(NAME, 2, 3) FROM EMPLOYEE;
- +-----------------------+
- | SUBSTRING(NAME, 2, 4) |
- +-----------------------+
- | ARY |
- | ARAH |
- | ENRY |
- | ETER |
- | OBER |
- | ANIL |
- | ENAI |
- | HABE |
- +-----------------------+
- 19. SELECT UCASE(NAME) FROM EMPLOYEE;
- +-------------+
- | UCASE(NAME) |
- +-------------+
- | MARY |
- | SARAH |
- | HENRY |
- | PETER |
- | ROBERT |
- | MANILA |
- | SENAINA |
- | SHABEER |
- +-------------+
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement