SlideShare ist ein Scribd-Unternehmen logo
1 von 24
DBMS CYCLE II

CREATE TABLE JOB
(
  CODE NUMBER(3) NOT NULL,
  NAME VARCHAR2(10) NOT NULL
);

ALTER TABLE JOB ADD PRIMARY KEY (CODE);

CREATE TABLE LOCATION
(
  CODE NUMBER(3) NOT NULL,
  NAME VARCHAR2(10) NOT NULL
);

ALTER TABLE LOCATION ADD PRIMARY KEY (CODE);

CREATE TABLE DEPT
(
  DEPTNO NUMBER(2) NOT NULL,
  NAME VARCHAR2(10),
  LOCATION NUMBER(3) NOT NULL
);

ALTER TABLE DEPT ADD PRIMARY KEY (DEPTNO);

ALTER TABLE DEPT ADD FOREIGN KEY (LOCATION)
 REFERENCES LOCATION (CODE);

CREATE TABLE EMPLOYEE
(
  EMPNO NUMBER(4) NOT NULL,
  ENAME VARCHAR2(10),
  JOB  NUMBER(3),
  MGR   NUMBER(3),
  HIREDATE DATE,
  SAL NUMBER(8,2),
  COMM NUMBER(8,2),
  DEPTNO NUMBER(2) NOT NULL
);


ALTER TABLE EMPLOYEE ADD PRIMARY KEY (EMPNO);

ALTER TABLE EMPLOYEE ADD FOREIGN KEY (JOB)
 REFERENCES JOB (CODE);
ALTER TABLE EMPLOYEE ADD FOREIGN KEY (MGR)
 REFERENCES EMPLOYEE (EMPNO);

ALTER TABLE EMPLOYEE ADD FOREIGN KEY (DEPTNO)
 REFERENCES DEPT (DEPTNO);

SQL> DESC EMPLOYEE;
Name                Type             Nullable Default Comments
-------- ------------ -------- ------- --------
EMPNO             NUMBER(4)
ENAME             VARCHAR2(10) Y
JOB                NUMBER(3)             Y
MGR               NUMBER(3)              Y
HIREDATE DATE                            Y
SAL               NUMBER(8,2) Y
COMM              NUMBER(8,2) Y
DEPTNO            NUMBER(2)

SQL> DESC DEPT;
Name              Type               Nullable Default Comments
-------- ------------ -------- ------- --------
DEPTNO            NUMBER(2)
NAME              VARCHAR2(10) Y
LOCATION NUMBER(3)

SQL> DESC JOB;
Name               Type         Nullable Default Comments
---- ------------ -------- ------- --------
CODE               NUMBER(3)
NAME               VARCHAR2(10)

SQL> DESC LOCATION;
Name               Type         Nullable Default Comments
---- ------------ -------- ------- --------
CODE               NUMBER(3)
NAME               VARCHAR2(10)
SQL> DESC JOB_GRADES;
Name              Type                Nullable Default Comments
-------- --------- -------- ------- --------
GRADE             CHAR(1)            Y
LOW_SAL NUMBER(6) Y
HIGH_SAL NUMBER(6) Y
SQL> SELECT * FROM EMPLOYEE ORDER BY EMPNO;

EMPNO ENAME                 JOB MGR HIREDATE                          SAL        COMM DEPTNO
----- ---------- ---- ---- ----------- ---------- ---------- -----------------------------------------
  101 ASHISH                  1     105       4/10/1998 220000.00                              10
  102 SAGAR                   1     106       4/10/1998 280000.00                              20
  103 WILLIAMS                2               10/1/1996 480000.00                              40
  104 GEORGE                  3               10/1/1996 520000.00                              40
  105 PRADEEP                3        101     11/5/1999 250000.00                   00.00 30
  106 SRINIVAS               3      105       12/6/1999 300000.00                2000.00 30
  107 KEERTHI                 1     106       6/15/1998        1500.00           2000.00 10
  108 CHAWLA                 1      107       6/16/1998        1800.00           4000.00 10
  109 SATIBABU                4     106       6/17/1998 12000.00                 4000.00 20
  110 SRINIVAS               4      106       6/18/1998 14000.00                 4000.00 20
  111 SURYA                  3      122       4/10/1998 33000.00                   600.00 10
  112 SHYAM                  3      122       4/14/1998 28000.00                   700.00 20
  113 DENNIS                 3      121       6/22/1999 20000.00                 1000.00 10
  114 SUNIL                  3      125       6/21/1999 16000.00                               10
  115 ANIL                   4      103       4/22/1998 22000.00                28000.00 10
  116 SUHAS                   3      126      3/20/1999 18000.00                22000.00 20
  117 SURAJ                   3      127      1/21/1995 25000.00                               30
  118 LAKSHMI                 3      128      2/22/1996 36000.00                               30
  119 KARTHIK                 3      122      2/23/1996 16000.00                               40
  120 PULLARAO 3                     122      2/24/1996 35000.00                               40
  121 SUSHMA                 4       122      2/25/1996 36000.00                               30
  122 ASHA                   4       122      2/26/1996 37000.00                               30
  123 SUNNELA                4       122      2/27/1996 29000.00                               40
  124 SPOORTHY 4                      103 3/12/1998 17000.00                                   40
  125 SUNAINA                3        103     3/13/1998 16000.00                               10
  126 DURGARAO 3                     105      3/14/1998 38000.00                 2000.00 40
  127 PAVAN                  3       122      3/15/1998 19000.00                 3000.00 40
  128 HEMANTH                 4       103     3/16/1998 28000.00                 4000.00 40
  129 NARESH                  4       103     3/17/1998 30000.00                 5000.00 40

29 rows selected

SQL> SELECT * FROM DEPT ORDER BY DEPTNO;

DEPTNO NAME                LOCATION
------ ---------- -------------------------
   10 SALES                           1
   20 RESEARCH                        3
   30 ACCOUNTING                      4
   40 ADMIN                           2
SQL> SELECT * FROM JOB ORDER BY CODE;

CODE NAME
---- --------------
  1 TRAINEE
  2 PRESIDENT
  3 ANALYST
  4 CLERK

SQL> SELECT * FROM LOCATION ORDER BY CODE;

CODE NAME
---- ---------------
  1 VIJAYAWADA
  2 KAKINADA
  3 TIRUPATHI
  4 CHICAGO


SQL> SELECT * FROM JOB_GRADES ORDER BY 1;

GRADE LOW_SAL HIGH_SAL
----- ------- ----------------------------
A        1000 10000
B       10001 60000
C       60001 150000
D      150001 600000
EXCERCISE - VI
1. List of departments with at least one ANALYST
SELECT DEPTNO, COUNT(EMPNO) "NO OF ANALYSTS"
 FROM EMPLOYEE
WHERE JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) = 'ANALYST')
GROUP BY DEPTNO HAVING COUNT(EMPNO) >= 1 ORDER BY DEPTNO;

DEPTNO NO OF ANALYSTS
------ -------------------------------
   10            4
   20            2
   30            4
   40            5
4 rows selected
2. Locations that have the SALES department
SELECT * FROM LOCATION
 WHERE CODE IN (SELECT LOCATION FROM DEPT WHERE UPPER(NAME) =
'SALES');


CODE NAME
---- ---------------
  1 VIJAYAWADA
3. Locations that have at least one ANALYST
SELECT L.NAME, COUNT(E.EMPNO) "NO OF ANALYSTS" FROM EMPLOYEE E,
DEPT D, JOB J, LOCATION L WHERE E.DEPTNO = D.DEPTNO
AND D.LOCATION = L.CODE AND E.JOB = J.CODE
GROUP BY L.NAME HAVING COUNT(E.EMPNO) >= 1;


NAME          NO OF ANALYSTS
---------- -------------------------------
TIRUPATHI                      5
VIJAYAWADA                     8
KAKINADA                       10
CHICAGO                        6
4 rows selected
4. Employees and their department names
SELECT E.EMPNO, E.ENAME, D.DEPTNO, D.NAME
 FROM EMPLOYEE E, DEPT D WHERE E.DEPTNO = D.DEPTNO
ORDER BY E.EMPNO;
EMPNO ENAME DEPTNO NAME
----- ---------- ------ -----------------------------
  101 ASHISH                 10      SALES
  102 SAGAR                  20      RESEARCH
  103 WILLIAMS               40      ADMIN
  104 GEORGE                 40 ADMIN
  105 PRADEEP                30      ACCOUNTING
  106 SRINIVAS               30      ACCOUNTING
  107 KEERTHI                10 SALES
  108 CHAWLA                  10 SALES
  109 SATIBABU               20      RESEARCH
  110 SRINIVAS                20 RESEARCH
  111 SURYA                   10 SALES
  112 SHYAM                   20 RESEARCH
  113 DENNIS                  10 SALES
  114 SUNIL                   10 SALES
  115 ANIL                    10 SALES
  116 SUHAS                   20 RESEARCH
  117 SURAJ                  30 ACCOUNTING
  118 LAKSHMI                30 ACCOUNTING
  119 KARTHIK                40      ADMIN
  120 PULLARAO 40 ADMIN
  121 SUSHMA                 30      ACCOUNTING
  122 ASHA                   30      ACCOUNTING
  123 SUNNELA                40      ADMIN
  124 SPOORTHY 40 ADMIN
  125 SUNAINA                10      SALES
  126 DURGARAO 40 ADMIN
  127 PAVAN                   40 ADMIN
  128 HEMANTH                 40 ADMIN
  129 NARESH                  40 ADMIN


29 rows selected
5. List the employees who draw more than ‘DENNIS’ (using joins)

SELECT E1.EMPNO, E1.ENAME, E1.SAL FROM EMPLOYEE E1, EMPLOYEE E2
 WHERE UPPER(E2.ENAME) = 'DENNIS' AND E1.SAL > E2.SAL;
EMPNO ENAME                     SAL
----- ---------- ---------------------------
  101 ASHISH                220000.00
  102 SAGAR                 280000.00
  103 WILLIAMS 480000.00
  104 GEORGE                520000.00
  105 PRADEEP               250000.00
  106 SRINIVAS              300000.00
  111 SURYA                 33000.00
  112 SHYAM                 28000.00
  115 ANIL                  22000.00
117     SURAJ              25000.00
 118     LAKSHMI            36000.00
 120     PULLARAO           35000.00
 121     SUSHMA             36000.00
 122     ASHA               37000.00
 123     SUNNELA            29000.00
 126     DURGARAO           38000.00
 128     HEMANTH            28000.00
 129     NARESH             30000.00

18 rows selected
6. Employees and their job functions
SELECT E.EMPNO, E.ENAME, J.CODE, J.NAME FROM EMPLOYEE E, JOB J
WHERE E.JOB = J.CODE ORDER BY E.EMPNO;

EMPNO ENAME CODE NAME
----- ---------- ---- ---------------------------------
  101 ASHISH                 1        TRAINEE
  102 SAGAR                  1       TRAINEE
  103 WILLIAMS 2                     PRESIDENT
  104 GEORGE                 3       ANALYST
  105 PRADEEP                3       ANALYST
  106 SRINIVAS               3       ANALYST
  107 KEERTHI                1       TRAINEE
  108 CHAWLA                 1       TRAINEE
  109 SATIBABU               4       CLERK
  110 SRINIVAS               4       CLERK
  111 SURYA                  3       ANALYST
  112 SHYAM                  3       ANALYST
  113 DENNIS                 3       ANALYST
  114 SUNIL                  3       ANALYST
  115 ANIL                   4       CLERK
  116 SUHAS                  3       ANALYST
  117 SURAJ                  3       ANALYST
  118 LAKSHMI                3       ANALYST
  119 KARTHIK                3       ANALYST
  120 PULLARAO 3                     ANALYST
  121 SUSHMA                4        CLERK
  122 ASHA                  4        CLERK
  123 SUNNELA               4        CLERK
  124 SPOORTHY 4                     CLERK
  125 SUNAINA                3       ANALYST
  126 DURGARAO 3                     ANALYST
  127 PAVAN                  3       ANALYST
  128 HEMANTH 4                      CLERK
  129 NARESH                 4       CLERK

29 rows selected
7. Department name of DENNIS.
SELECT E.ENAME, D.NAME FROM EMPLOYEE E, DEPT D
WHERE E.DEPTNO = D.DEPTNO AND UPPER(E.ENAME) = 'DENNIS';

ENAME NAME
---------- ----------------
DENNIS SALES


8. Department name,Job name, and Location name of DENNIS
SELECT E.EMPNO, E.ENAME, D.NAME, L.NAME, J.NAME
 FROM EMPLOYEE E, DEPT D, LOCATION L, JOB J
WHERE E.DEPTNO = D.DEPTNO AND E.JOB = J.CODE
 AND D.LOCATION = L.CODE AND UPPER(E.ENAME) = 'DENNIS';

EMPNO ENAME NAME                         NAME                       NAME
----- ---------- ----------------------------------------------- ---------- ----------
  113       DENNIS SALES                 VIJAYAWADA ANALYST
EXCERCISE - VII
1. Employees working in SALES department (using Subquery or joins)
SELECT E.EMPNO, E.ENAME, D.NAME FROM EMPLOYEE E, DEPT D
WHERE E.DEPTNO = D.DEPTNO AND UPPER(D.NAME) = 'SALES'
ORDER BY 1;

EMPNO ENAME NAME
----- ---------- ---------------------
  101 ASHISH              SALES
  107 KEERTHI SALES
  108 CHAWLA SALES
  111 SURYA               SALES
  113 DENNIS              SALES
  114 SUNIL                SALES
  115 ANIL                 SALES
  125 SUNAINA SALES

8 rows selected
2. List the department names and employees who draw commission less than 1000.
Also display the departments even if no employee exists with the said condition.
SELECT D.NAME, E.ENAME, E.COMM
 FROM (SELECT * FROM EMPLOYEE WHERE COMM < 1000) E, DEPT D
WHERE E.DEPTNO(+) = D.DEPTNO


NAME                        ENAME              COMM
---------- ---------- ----------------------------------------
RESEARCH                    SHYAM             700.00
SALES                       SURYA            600.00
ACCOUNTING
ADMIN


3. Employees and their locations
SELECT E.EMPNO, E.ENAME, L.CODE, L.NAME
 FROM EMPLOYEE E, DEPT D, LOCATION L WHERE E.DEPTNO = D.DEPTNO
 AND D.LOCATION = L.CODE ORDER BY 1;

EMPNO ENAME                 CODE              NAME
----- ---------- ---- ----------------------------------------
  101 ASHISH                 1       VIJAYAWADA
  102 SAGAR                  3        TIRUPATHI
  103 WILLIAMS 2                      KAKINADA
  104 GEORGE                 2        KAKINADA
  105 PRADEEP                4        CHICAGO
106    SRINIVAS         4       CHICAGO
 107    KEERTHI          1       VIJAYAWADA
 108    CHAWLA            1      VIJAYAWADA
 109    SATIBABU          3      TIRUPATHI
 110    SRINIVAS           3     TIRUPATHI
 111    SURYA              1     VIJAYAWADA
 112    SHYAM              3     TIRUPATHI
 113    DENNIS             1     VIJAYAWADA
 114    SUNIL              1     VIJAYAWADA
 115    ANIL               1     VIJAYAWADA
 116    SUHAS              3     TIRUPATHI
 117    SURAJ              4     CHICAGO
 118    LAKSHMI            4     CHICAGO
 119    KARTHIK             2    KAKINADA
 120    PULLARAO           2     KAKINADA
 121    SUSHMA             4     CHICAGO
 122    ASHA               4     CHICAGO
 123    SUNNELA             2    KAKINADA
 124    SPOORTHY           2     KAKINADA
 125    SUNAINA             1    VIJAYAWADA
 126    DURGARAO            2    KAKINADA
 127    PAVAN               2    KAKINADA
 128    HEMANTH             2    KAKINADA
 129    NARESH              2    KAKINADA

29 rows selected
4. All the analysts and their locations
SELECT E.EMPNO, E.ENAME, J.NAME, L.NAME
 FROM EMPLOYEE E, DEPT D, LOCATION L, JOB J
WHERE E.DEPTNO = D.DEPTNO AND D.LOCATION = L.CODE
 AND E.JOB = J.CODE AND UPPER(J.NAME) = 'ANALYST'
ORDER BY 1;


EMPNO ENAME NAME                         NAME
----- ---------- ---------- ------------------------------
  104 GEORGE ANALYST KAKINADA
  105 PRADEEP ANALYST CHICAGO
  106 SRINIVAS ANALYST CHICAGO
  111 SURYA               ANALYST VIJAYAWADA
  112 SHYAM               ANALYST TIRUPATHI
  113 DENNIS               ANALYST VIJAYAWADA
  114 SUNIL                ANALYST VIJAYAWADA
  116 SUHAS                ANALYST TIRUPATHI
  117 SURAJ                ANALYST CHICAGO
  118 LAKSHMI ANALYST CHICAGO
  119 KARTHIK                ANALYST KAKINADA
  120 PULLARAO ANALYST KAKINADA
125     SUNAINA  ANALYST VIJAYAWADA
 126     DURGARAO ANALYST KAKINADA
 127     PAVAN    ANALYST KAKINADA

15 rows selected
5. List the employees who are earning maximum salary in their respective
departments
SELECT EMPNO, ENAME, SAL, DEPTNO FROM EMPLOYEE
WHERE (DEPTNO, SAL) IN
   (SELECT DEPTNO, MAX(SAL) FROM EMPLOYEE GROUP BY DEPTNO);

EMPNO ENAME                     SAL DEPTNO
----- ---------- ---------- -----------------------------
  106 SRINIVAS 300000.00 30
  104 GEORGE 520000.00 40
  102 SAGAR                 280000.00 20
  101 ASHISH                220000.00 10


6. List employees whose salary exceeds their managers
SELECT OUTER.EMPNO, OUTER.ENAME, OUTER.SAL, OUTER.MGR
 FROM EMPLOYEE OUTER WHERE EXISTS
(SELECT 1 FROM EMPLOYEE INNER WHERE INNER.EMPNO = OUTER.MGR
          AND INNER.SAL < OUTER.SAL);


EMPNO ENAME                     SAL            MGR
----- ---------- ---------- --------------------------------
  108 CHAWLA                      1800.00       107
  106 SRINIVAS                 300000.00 105
  105 PRADEEP                  250000.00 101
  117 SURAJ                     25000.00 127
  118 LAKSHMI                   36000.00        128


7. Employees and their salary grades
SELECT E.EMPNO, E.ENAME, J.GRADE FROM EMPLOYEE E, JOB_GRADES J
WHERE E.SAL BETWEEN J.LOW_SAL AND J.HIGH_SAL;


EMPNO ENAME GRADE
----- ---------- ---------------------------
  107 KEERTHI                  A
  108 CHAWLA                   A
  109 SATIBABU                B
  110 SRINIVAS B
  125 SUNAINA               B
  119 KARTHIK               B
114   SUNIL    B
 124   SPOORTHY B
 116   SUHAS    B
 127   PAVAN    B
 113   DENNIS   B
 115   ANIL      B
 117   SURAJ    B
 112   SHYAM    B
 128   HEMANTH B
 123   SUNNELA   B
 129   NARESH   B
 111   SURYA    B
 120   PULLARAO B
 121   SUSHMA    B
 118   LAKSHMI  B
 122   ASHA      B
 126   DURGARAO B
 101   ASHISH    D
 105   PRADEEP   D
 102   SAGAR     D
 106   SRINIVAS  D
 103   WILLIAMS   D
 104   GEORGE     D

29 rows selected
EXCERCISE - VIII
1. List the average annual salary for all the employees

SELECT AVG(SAL) FROM EMPLOYEE;

AVG(SAL)
----------
88906.8965


2. The maximum salary of clerks in the company

SELECT J.NAME, MAX(SAL) "MAXIMUM_SALARY"
 FROM EMPLOYEE E, JOB J WHERE E.JOB = J.CODE
 AND UPPER(J.NAME) = 'CLERK' GROUP BY J.NAME;

NAME          MAXIMUM_SALARY
---------- ---------------------------------
CLERK                37000


3. How many employees are drawing commission?

SELECT COUNT(EMPNO) FROM EMPLOYEE WHERE COMM IS NOT NULL;

COUNT(EMPNO)
--------------------------
        15


4. Find all the ANALYSTS with the minimum salary among ANALYSTS

SELECT EMPNO,ENAME,JOB,SAL FROM EMPLOYEE
WHERE (JOB, SAL) = (SELECT JOB, MIN(SAL) FROM EMPLOYEE
    WHERE JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) =
                  'ANALYST')    GROUP BY JOB);

EMPNO ENAME                 JOB        SAL
----- ---------- ---- ----------------------------
  125 SUNAINA                3 16000.00
  119 KARTHIK                3 16000.00
  114 SUNIL                  3 16000.00
5. Find the total salary and commission for all the employees

SELECT EMPNO, ENAME, (SAL + NVL(COMM, 0)) "TOTAL_SALARY",
NVL(COMM, 0) FROM EMPLOYEE;

EMPNO ENAME TOTAL_SALARY NVL(COMM,0)
----- ---------- ------------ --------------------------------------------
  125 SUNAINA                   16000               0
  124 SPOORTHY                   17000              0
  123 SUNNELA                    29000              0
  122 ASHA                       37000              0
  121 SUSHMA                     36000              0
  120 PULLARAO                    35000             0
  119 KARTHIK                    16000              0
  118 LAKSHMI                     36000             0
  117 SURAJ                       25000             0
  116 SUHAS                       40000       22000
  115 ANIL                       50000       28000
  114 SUNIL                      16000              0
  113 DENNIS                     21000        1000
  112 SHYAM                      28700          700
  111 SURYA                      33600         600
  110 SRINIVAS                   18000        4000
  109 SATIBABU                  16000         4000
  108 CHAWLA                       5800       4000
  107 KEERTHI                      3500       2000
  106 SRINIVAS                 302000         2000
  105 PRADEEP                  252000         2000
  104 GEORGE                   520000             0
  103 WILLIAMS                  480000            0
  102 SAGAR                    280000             0
  101 ASHISH                   220000             0
  126 DURGARAO                   40000        2000
  127 PAVAN                      22000        3000
  128 HEMANTH                    32000         4000
  129 NARESH                     35000         5000

29 rows selected
6. Find all the employees who earn more than the average salary of their respective
departments

SELECT OUTER.EMPNO, OUTER.ENAME, OUTER.SAL, OUTER.DEPTNO
 FROM EMPLOYEE
OUTER WHERE OUTER.SAL >
     (SELECT AVG(INNER.SAL) FROM EMPLOYEE
      INNER WHERE INNER.DEPTNO = OUTER.DEPTNO)
ORDER BY 1;

EMPNO ENAME                      SAL DEPTNO
----- ---------- ---------- -------------------------
  101 ASHISH                     220000.00 10
  102 SAGAR                      280000.00 20
  103 WILLIAMS                  480000.00 40
  104 GEORGE                    520000.00 40
  105 PRADEEP                   250000.00 30
  106 SRINIVAS                  300000.00 30


7. Find average salary, number of employees and total salary department wise

SELECT DEPTNO, AVG(SAL), COUNT(EMPNO), SUM(SAL)
 FROM EMPLOYEE GROUP BY DEPTNO ORDER BY 1;

DEPTNO AVG(SAL) COUNT(EMPNO) SUM(SAL)
------ ---------- ------------ --------------------------------------
   10              41287.5            8           330300
   20              70400              5          352000
   30              114000            6           684000
   40              121200           10          1212000


8. Average salary of all analysts, department wise

SELECT DEPTNO, AVG(SAL) FROM EMPLOYEE
WHERE JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) = 'ANALYST')
GROUP BY DEPTNO ORDER BY 1;

DEPTNO AVG(SAL)
------ ----------
   10      21250
   20      23000
   30 152750
   40 125600
9. List the departments with at least two clerks

SELECT DEPTNO, COUNT(EMPNO) "TOTAL_NO_OF_EMPLOYEES"
 FROM EMPLOYEE
WHERE JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) = 'CLERK')
GROUP BY DEPTNO HAVING COUNT(EMPNO) >= 2 ORDER BY 1;

DEPTNO TOTAL_NO_OF_EMPLOYEES
------ ---------------------
   20                 2
   30                 2
   40                 4


10.Number of employees and average salary for each department in each location

SELECT D.DEPTNO, D.NAME, L.CODE, L.NAME, COUNT(E.EMPNO), AVG(E.SAL)
 FROM EMPLOYEE E, DEPT D, LOCATION L
WHERE E.DEPTNO = D.DEPTNO
  AND D.LOCATION = L.CODE GROUP BY D.DEPTNO, D.NAME, L.CODE,
L.NAME ORDER BY 1;


DEPTNO NAME                     CODE NAME                COUNT(E.EMPNO) AVG(E.SAL)
------ ---------- ---- ---------- -------------- -------------------------------------------------
   10        SALES                  1 VIJAYAWADA                     8               41287.5
   20        RESEARCH                3 TIRUPATHI                     5               70400
   30        ACCOUNTING 4 CHICAGO                                    6              114000
   40        ADMIN                   2 KAKINADA                      10             121200
EXCERCISE - IX
1. Find the number of employees and average salary for each job group in each
department having more than 3 employees in each job group.
SELECT DEPTNO, JOB, COUNT(EMPNO), AVG(SAL) FROM EMPLOYEE
GROUP BY DEPTNO, JOB HAVING COUNT(EMPNO) > 3
ORDER BY 1;


DEPTNO JOB COUNT(EMPNO) AVG(SAL)
------ ---- ------------ ----------------------------------------
   10           3         4                       21250
   30           3         4                       152750
   40           3         5                       125600
   40           4         4                       26000


2. Find the number of analysts in each department having more than one employee
SELECT DEPTNO, COUNT(EMPNO) "NO_OF_EMPLOYEES" FROM EMPLOYEE
WHERE JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) = 'ANALYST')
GROUP BY DEPTNO HAVING COUNT(EMPNO) > 0
ORDER BY 1;

DEPTNO NO_OF_EMPLOYEES
------ ---------------
   10             4
   20             2
   30             4
   40             5


3. Display the names of employees along with their department names from the
departments having at least three employees
SELECT E.EMPNO, E.ENAME, D.DEPTNO, D.NAME FROM EMPLOYEE E, DEPT D
WHERE E.DEPTNO = D.DEPTNO AND E.DEPTNO IN
   (SELECT DEPTNO FROM EMPLOYEE GROUP BY DEPTNO HAVING
COUNT(EMPNO)     > 3) ORDER BY 1;

EMPNO ENAME DEPTNO NAME
----- ---------- ------ ------------------------------
  101 ASHISH                  10         SALES
  102 SAGAR                   20        RESEARCH
  103 WILLIAMS                 40       ADMIN
  104 GEORGE                   40       ADMIN
  105 PRADEEP                  30       ACCOUNTING
  106 SRINIVAS                 30       ACCOUNTING
  107 KEERTHI                   10       SALES
  108 CHAWLA                   10        SALES
109    SATIBABU         20         RESEARCH
 110    SRINIVAS         20         RESEARCH
 111    SURYA            10         SALES
 112    SHYAM            20         RESEARCH
 113    DENNIS           10         SALES
 114    SUNIL            10          SALES
 115    ANIL             10         SALES
 116    SUHAS             20         RESEARCH
 117    SURAJ            30         ACCOUNTING
 118    LAKSHMI          30         ACCOUNTING
 119    KARTHIK          40         ADMIN
 120    PULLARAO         40         ADMIN
 121    SUSHMA           30         ACCOUNTING
 122    ASHA             30          ACCOUNTING
 123    SUNNELA          40         ADMIN
 124    SPOORTHY          40        ADMIN
 125    SUNAINA           10        SALES
 126    DURGARAO         40         ADMIN
 127    PAVAN            40         ADMIN
 128    HEMANTH           40        ADMIN
 129    NARESH            40        ADMIN

29 rows selected


4. Name the departments where in you have atleast one employee drawing more than
the average salary of their respective department.
SELECT DEPTNO, NAME FROM DEPT
WHERE DEPTNO IN (SELECT OUTER.DEPTNO FROM EMPLOYEE
    OUTER WHERE OUTER.SAL > (SELECT AVG(INNER.SAL)
           FROM EMPLOYEE
          INNER WHERE INNER.DEPTNO = OUTER.DEPTNO));

DEPTNO NAME
------ --------------------------
   10              SALES
   20              RESEARCH
   30              ACCOUNTING
   40             ADMIN




5. Find out all departments with at least one employee
SELECT DEPTNO, NAME FROM DEPT
WHERE DEPTNO IN (SELECT DISTINCT DEPTNO FROM EMPLOYEE);

DEPTNO NAME
------ -----------------------
   10         SALES
   20         RESEARCH
   30         ACCOUNTING
   40         ADMIN
6. List of departments with at least one ANALYST
SELECT DEPTNO, NAME FROM DEPT
 WHERE DEPTNO IN (SELECT DISTINCT DEPTNO
     FROM EMPLOYEE WHERE
JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) = 'ANALYST'));

DEPTNO NAME
------ ---------------------
   10 SALES
   20 RESEARCH
   30 ACCOUNTING
   40 ADMIN
7. Locations that have SALES department
SELECT L.CODE, L.NAME FROM DEPT D, LOCATION L
WHERE D.LOCATION = L.CODE AND UPPER(D.NAME) = 'SALES';

CODE NAME
---- ----------
  1       VIJAYAWADA


8.Locations that have at least one ANALYST
SELECT DISTINCT L.CODE, L.NAME
 FROM EMPLOYEE E, DEPT D, LOCATION L, JOB J
WHERE E.DEPTNO = D.DEPTNO AND E.JOB = J.CODE
 AND D.LOCATION = L.CODE AND UPPER(J.NAME) = 'ANALYST';

CODE NAME
---- ----------
  1       VIJAYAWADA
  2       KAKINADA
  3       TIRUPATHI
  4       CHICAGO
EXCERCISE – X
1.Employes with department names
SELECT E.EMPNO, E.ENAME, D.DEPTNO, D.NAME FROM EMPLOYEE E, DEPT D
WHERE E.DEPTNO = D.DEPTNO ORDER BY 1;

EMPNO ENAME DEPTNO NAME
----- ---------- ------ ----------------------------
  101 ASHISH                    10 SALES
  102 SAGAR                    20 RESEARCH
  103 WILLIAMS                 40 ADMIN
  104 GEORGE                   40 ADMIN
  105 PRADEEP                  30 ACCOUNTING
  106 SRINIVAS                 30 ACCOUNTING
  107 KEERTHI                  10 SALES
  108 CHAWLA                  10 SALES
  109 SATIBABU                 20 RESEARCH
  110 SRINIVAS                20 RESEARCH
  111 SURYA                   10 SALES
  112 SHYAM                   20 RESEARCH
  113 DENNIS                  10      SALES
  114 SUNIL                   10      SALES
  115 ANIL                   10       SALES
  116 SUHAS                  20       RESEARCH
  117 SURAJ                  30       ACCOUNTING
  118 LAKSHMI                30       ACCOUNTING
  119 KARTHIK                40       ADMIN
  120 PULLARAO 40                     ADMIN
  121 SUSHMA                 30       ACCOUNTING
  122 ASHA                   30       ACCOUNTING
  123 SUNNELA                 40      ADMIN
  124 SPOORTHY 40                     ADMIN
  125 SUNAINA                 10      SALES
  126 DURGARAO 40                     ADMIN
  127 PAVAN                   40      ADMIN
  128 HEMANTH                 40      ADMIN
  129 NARESH                  40      ADMIN

29 rows selected


2.Employees and their job function
SELECT E.EMPNO, E.ENAME, E.JOB, J.NAME
 FROM EMPLOYEE E, JOB J WHERE E.JOB = J.CODE ORDER BY 1;

EMPNO ENAME                 JOB NAME
----- ---------- ---- --------------------------------
  101 ASHISH                  1 TRAINEE
  102 SAGAR                   1 TRAINEE
103     WILLIAMS           2 PRESIDENT
 104     GEORGE             3 ANALYST
 105     PRADEEP            3 ANALYST
 106     SRINIVAS           3 ANALYST
 107     KEERTHI            1 TRAINEE
 108     CHAWLA             1 TRAINEE
 109     SATIBABU           4 CLERK
 110     SRINIVAS           4 CLERK
 111     SURYA              3 ANALYST
 112     SHYAM              3 ANALYST
 113     DENNIS             3 ANALYST
 114     SUNIL               3 ANALYST
 115     ANIL                4 CLERK
 116     SUHAS               3 ANALYST
 117     SURAJ               3 ANALYST
 118     LAKSHMI             3 ANALYST
 119     KARTHIK            3 ANALYST
 120     PULLARAO            3 ANALYST
 121     SUSHMA             4 CLERK
 122     ASHA               4 CLERK
 123     SUNNELA             4 CLERK
 124     SPOORTHY            4 CLERK
 125     SUNAINA             3 ANALYST
 126     DURGARAO            3 ANALYST
 127     PAVAN               3 ANALYST
 128     HEMANTH             4 CLERK
 129     NARESH              4 CLERK

29 rows selected


3.Deparment name of the Dennis
SELECT DEPTNO, NAME FROM DEPT
WHERE DEPTNO = (SELECT DEPTNO FROM EMPLOYEE WHERE
UPPER(ENAME) = 'DENNIS');


DEPTNO NAME
------ --------------------------
   10             SALES


4.Location,Department name,job name of Dennis
SELECT E.ENAME, D.NAME, L.NAME, J.NAME
 FROM EMPLOYEE E, DEPT D, JOB J, LOCATION L
WHERE E.DEPTNO = D.DEPTNO AND D.LOCATION = L.CODE
 AND E.JOB = J.CODE AND UPPER(E.ENAME) = 'DENNIS';
ENAME NAME                    NAME                NAME
---------- ---------- ---------- -------------------------------
DENNIS SALES                 VIJAYAWADA ANALYST
5.Employees working in sales department
SELECT E.EMPNO,E.ENAME,D.NAME FROM EMPLOYEE E,DEPT D
WHERE E.DEPTNO=D.DEPTNO AND D.NAME='SALES' ORDER BY 1;
EMPNO ENAME NAME
----- ---------- --------------------------
  101 ASHISH                SALES
  107 KEERTHI SALES
  108 CHAWLA SALES
  111 SURYA                 SALES
  113 DENNIS                SALES
  114 SUNIL                 SALES
  115 ANIL                  SALES
  125 SUNAINA SALES
6.Employees and their locations
SELECT E.EMPNO, E.ENAME, L.CODE, L.NAME
 FROM EMPLOYEE E, DEPT D, LOCATION L
WHERE E.DEPTNO = D.DEPTNO AND D.LOCATION = L.CODE
ORDER BY 1;


EMPNO ENAME CODE NAME
----- ---------- ---- ---------------------------------------
  101 ASHISH                    1 VIJAYAWADA
  102 SAGAR                    3 TIRUPATHI
  103 WILLIAMS                  2 KAKINADA
  104 GEORGE                    2 KAKINADA
  105 PRADEEP                   4 CHICAGO
  106 SRINIVAS                  4 CHICAGO
  107 KEERTHI                    1 VIJAYAWADA
  108 CHAWLA                     1 VIJAYAWADA
  109 SATIBABU                   3 TIRUPATHI
  110 SRINIVAS                   3 TIRUPATHI
  111 SURYA                      1 VIJAYAWADA
  112 SHYAM                      3 TIRUPATHI
  113 DENNIS                    1 VIJAYAWADA
  114 SUNIL                     1 VIJAYAWADA
  115 ANIL                      1 VIJAYAWADA
  116 SUHAS                      3 TIRUPATHI
  117 SURAJ                     4 CHICAGO
  118 LAKSHMI                   4 CHICAGO
  119 KARTHIK                   2 KAKINADA
  120 PULLARAO                 2 KAKINADA
  121 SUSHMA                   4 CHICAGO
122     ASHA                4 CHICAGO
 123     SUNNELA             2 KAKINADA
 124     SPOORTHY            2 KAKINADA
 125     SUNAINA             1 VIJAYAWADA
 126     DURGARAO            2 KAKINADA
 127     PAVAN                2 KAKINADA
 128     HEMANTH             2 KAKINADA
 129     NARESH              2 KAKINADA

29 rows selected
7.All the ANALYSTS and their locations
SELECT E.EMPNO, E.ENAME, L.CODE, L.NAME
 FROM EMPLOYEE E, DEPT D, LOCATION L
WHERE E.DEPTNO = D.DEPTNO AND D.LOCATION = L.CODE
 AND E.JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) = 'ANALYST')
ORDER BY 1;

EMPNO ENAME CODE NAME
----- ---------- ---- --------------------------------
  104 GEORGE                   2 KAKINADA
  105 PRADEEP                  4 CHICAGO
  106 SRINIVAS                 4 CHICAGO
  111 SURYA                    1 VIJAYAWADA
  112 SHYAM                    3 TIRUPATHI
  113 DENNIS                   1 VIJAYAWADA
  114 SUNIL                     1 VIJAYAWADA
  116 SUHAS                     3 TIRUPATHI
  117 SURAJ                     4 CHICAGO
  118 LAKSHMI                   4 CHICAGO
  119 KARTHIK                   2 KAKINADA
  120 PULLARAO                  2 KAKINADA
  125 SUNAINA                   1 VIJAYAWADA
  126 DURGARAO 2 KAKINADA
  127 PAVAN                     2 KAKINADA

15 rows selected




8.List of all employees earn maximum salary in thier respective departments
SELECT D.DEPTNO,D.NAME,E.EMPNO, E.ENAME, E.SAL
 FROM EMPLOYEE E,DEPT D
WHERE (D.DEPTNO, E.SAL) IN
(SELECT DEPTNO, MAX(SAL) FROM EMPLOYEE GROUP BY DEPTNO);

DEPTNO NAME                EMPNO ENAME                     SAL
------ ---------- ----- ---------- -----------------------------------------
   10 SALES                     101      ASHISH             220000.00
   20 RESEARCH                 102 SAGAR                    280000.00
   30 ACCOUNTING 106                     SRINIVAS           300000.00
   40 ADMIN                     104 GEORGE                 520000.00


9.List of employees who's salary exceeds their managers.
SELECT OUTER.EMPNO, OUTER.ENAME, OUTER.SAL
 FROM EMPLOYEE
OUTER WHERE EXISTS (SELECT 1
       FROM EMPLOYEE
      INNER WHERE INNER.EMPNO = OUTER.MGR
          AND INNER.SAL < OUTER.SAL) ORDER BY 1;

EMPNO ENAME                     SAL
----- ---------- --------------------------------
  105 PRADEEP                250000.00
  106 SRINIVAS               300000.00
  108 CHAWLA                    1800.00
  117 SURAJ                   25000.00
  118 LAKSHMI                 36000.00

Weitere ähnliche Inhalte

Was ist angesagt?

Was ist angesagt? (20)

Fe 501 2018 chassis
Fe 501 2018 chassisFe 501 2018 chassis
Fe 501 2018 chassis
 
Fe 450 2016 chassis
Fe 450 2016 chassisFe 450 2016 chassis
Fe 450 2016 chassis
 
Fe 350 2018 chassis
Fe 350 2018 chassisFe 350 2018 chassis
Fe 350 2018 chassis
 
Eaton 25HP 2 Stage Compressor with 4 Valves - Exploded View and Assembled Par...
Eaton 25HP 2 Stage Compressor with 4 Valves - Exploded View and Assembled Par...Eaton 25HP 2 Stage Compressor with 4 Valves - Exploded View and Assembled Par...
Eaton 25HP 2 Stage Compressor with 4 Valves - Exploded View and Assembled Par...
 
Fe 501 2014 chassis
Fe 501 2014 chassisFe 501 2014 chassis
Fe 501 2014 chassis
 
Fe 450 2014 chassis
Fe 450 2014 chassisFe 450 2014 chassis
Fe 450 2014 chassis
 
Te 300 2017 chassis
Te 300 2017 chassisTe 300 2017 chassis
Te 300 2017 chassis
 
Colbert 4.26.12
Colbert 4.26.12Colbert 4.26.12
Colbert 4.26.12
 
Fe 250 2018 chassis
Fe 250 2018 chassisFe 250 2018 chassis
Fe 250 2018 chassis
 
Fe 501 2016 chassis
Fe 501 2016 chassisFe 501 2016 chassis
Fe 501 2016 chassis
 
Fc 450 2015 chassis
Fc 450 2015 chassisFc 450 2015 chassis
Fc 450 2015 chassis
 
Te 125 2014 chassis
Te 125 2014 chassisTe 125 2014 chassis
Te 125 2014 chassis
 
Fe 350 2016 chassis
Fe 350 2016 chassisFe 350 2016 chassis
Fe 350 2016 chassis
 
Te 250i 2018 chassis
Te 250i 2018 chassisTe 250i 2018 chassis
Te 250i 2018 chassis
 
Fe 450 2015 chassis
Fe 450 2015 chassisFe 450 2015 chassis
Fe 450 2015 chassis
 
Te 250 2017 chassis
Te 250 2017 chassisTe 250 2017 chassis
Te 250 2017 chassis
 
Fe 501 2015 chassis
Fe 501 2015 chassisFe 501 2015 chassis
Fe 501 2015 chassis
 
Fe 250 2017 chassis
Fe 250 2017 chassisFe 250 2017 chassis
Fe 250 2017 chassis
 
390duke
390duke390duke
390duke
 
Tc 125 2020 chassis
Tc 125 2020 chassisTc 125 2020 chassis
Tc 125 2020 chassis
 

Andere mochten auch

Andere mochten auch (10)

Ds program-print
Ds program-printDs program-print
Ds program-print
 
Ds 2 cycle
Ds 2 cycleDs 2 cycle
Ds 2 cycle
 
South park middle school
South park middle schoolSouth park middle school
South park middle school
 
Neil Armstrong Hall of Engineering
Neil Armstrong Hall of EngineeringNeil Armstrong Hall of Engineering
Neil Armstrong Hall of Engineering
 
Week 4 - Technology Action Plan
Week 4 - Technology Action PlanWeek 4 - Technology Action Plan
Week 4 - Technology Action Plan
 
Presentation1
Presentation1Presentation1
Presentation1
 
Texas STaR Chart Powerpoint
Texas STaR Chart PowerpointTexas STaR Chart Powerpoint
Texas STaR Chart Powerpoint
 
South park middle school
South park middle schoolSouth park middle school
South park middle school
 
Dbms print
Dbms printDbms print
Dbms print
 
Fantastic trip by nasa
Fantastic trip by nasaFantastic trip by nasa
Fantastic trip by nasa
 

Ähnlich wie Dbms 2

MITSUBISHI FD160AN FORKLIFT TRUCKS Service Repair Manual SN:F39-60011-UP
MITSUBISHI FD160AN FORKLIFT TRUCKS Service Repair Manual SN:F39-60011-UPMITSUBISHI FD160AN FORKLIFT TRUCKS Service Repair Manual SN:F39-60011-UP
MITSUBISHI FD160AN FORKLIFT TRUCKS Service Repair Manual SN:F39-60011-UP
fudjjjsekkemmd
 
MITSUBISHI FD100N FORKLIFT TRUCKS Service Repair Manual SN:F15D-60011-UP
MITSUBISHI FD100N FORKLIFT TRUCKS Service Repair Manual SN:F15D-60011-UPMITSUBISHI FD100N FORKLIFT TRUCKS Service Repair Manual SN:F15D-60011-UP
MITSUBISHI FD100N FORKLIFT TRUCKS Service Repair Manual SN:F15D-60011-UP
fusfjsjekemd
 
M-ANM-3E4DS0-CBPC-SDR-12_IT_301-Model
M-ANM-3E4DS0-CBPC-SDR-12_IT_301-ModelM-ANM-3E4DS0-CBPC-SDR-12_IT_301-Model
M-ANM-3E4DS0-CBPC-SDR-12_IT_301-Model
Stefano Zambelli
 
SQL WORKSHOP::Lecture 4
SQL WORKSHOP::Lecture 4SQL WORKSHOP::Lecture 4
SQL WORKSHOP::Lecture 4
Umair Amjad
 

Ähnlich wie Dbms 2 (20)

Sangam 19 - Analytic SQL
Sangam 19 - Analytic SQLSangam 19 - Analytic SQL
Sangam 19 - Analytic SQL
 
Xs400 PARTS.pdf
Xs400 PARTS.pdfXs400 PARTS.pdf
Xs400 PARTS.pdf
 
DBMS Lab
DBMS LabDBMS Lab
DBMS Lab
 
Yamaha XT 600 E 3UYC.pdf
Yamaha XT 600 E 3UYC.pdfYamaha XT 600 E 3UYC.pdf
Yamaha XT 600 E 3UYC.pdf
 
2004 polaris 800 pro xr snowmobile service repair manual
2004 polaris 800 pro xr snowmobile service repair manual2004 polaris 800 pro xr snowmobile service repair manual
2004 polaris 800 pro xr snowmobile service repair manual
 
2004 polaris 800 pro x snowmobile service repair manual
2004 polaris 800 pro x snowmobile service repair manual2004 polaris 800 pro x snowmobile service repair manual
2004 polaris 800 pro x snowmobile service repair manual
 
Analytic SQL Sep 2013
Analytic SQL Sep 2013Analytic SQL Sep 2013
Analytic SQL Sep 2013
 
COIS 420 - Practice04
COIS 420 - Practice04COIS 420 - Practice04
COIS 420 - Practice04
 
80 different SQL Queries with output
80 different SQL Queries with output80 different SQL Queries with output
80 different SQL Queries with output
 
MITSUBISHI FD160AN FORKLIFT TRUCKS Service Repair Manual SN:F39-60011-UP
MITSUBISHI FD160AN FORKLIFT TRUCKS Service Repair Manual SN:F39-60011-UPMITSUBISHI FD160AN FORKLIFT TRUCKS Service Repair Manual SN:F39-60011-UP
MITSUBISHI FD160AN FORKLIFT TRUCKS Service Repair Manual SN:F39-60011-UP
 
Les04 Displaying Data From Multiple Table
Les04 Displaying Data From Multiple TableLes04 Displaying Data From Multiple Table
Les04 Displaying Data From Multiple Table
 
MITSUBISHI FD100N FORKLIFT TRUCKS Service Repair Manual SN:F15D-60011-UP
MITSUBISHI FD100N FORKLIFT TRUCKS Service Repair Manual SN:F15D-60011-UPMITSUBISHI FD100N FORKLIFT TRUCKS Service Repair Manual SN:F15D-60011-UP
MITSUBISHI FD100N FORKLIFT TRUCKS Service Repair Manual SN:F15D-60011-UP
 
M-ANM-3E4DS0-CBPC-SDR-12_IT_301-Model
M-ANM-3E4DS0-CBPC-SDR-12_IT_301-ModelM-ANM-3E4DS0-CBPC-SDR-12_IT_301-Model
M-ANM-3E4DS0-CBPC-SDR-12_IT_301-Model
 
SQL WORKSHOP::Lecture 4
SQL WORKSHOP::Lecture 4SQL WORKSHOP::Lecture 4
SQL WORKSHOP::Lecture 4
 
Cooling Tower Modular Design Crossflow Type
Cooling Tower Modular Design Crossflow TypeCooling Tower Modular Design Crossflow Type
Cooling Tower Modular Design Crossflow Type
 
Scoopy catalog
Scoopy catalogScoopy catalog
Scoopy catalog
 
Diseño de zapata aislada
Diseño de zapata aisladaDiseño de zapata aislada
Diseño de zapata aislada
 
Diseño de zapata aislada
Diseño de zapata aisladaDiseño de zapata aislada
Diseño de zapata aislada
 
Overview of achievements on pre-basic seed production in 2017
 Overview of achievements on pre-basic seed production in 2017  Overview of achievements on pre-basic seed production in 2017
Overview of achievements on pre-basic seed production in 2017
 
Park script
Park scriptPark script
Park script
 

Mehr von Chaitanya Kn

Mehr von Chaitanya Kn (11)

Black box-software-testing-douglas-hoffman2483
Black box-software-testing-douglas-hoffman2483Black box-software-testing-douglas-hoffman2483
Black box-software-testing-douglas-hoffman2483
 
Nano tech
Nano techNano tech
Nano tech
 
Jpdcs1 data leakage detection
Jpdcs1 data leakage detectionJpdcs1 data leakage detection
Jpdcs1 data leakage detection
 
Jpdcs1(data lekage detection)
Jpdcs1(data lekage detection)Jpdcs1(data lekage detection)
Jpdcs1(data lekage detection)
 
(Cse cs) ads programs list
(Cse  cs) ads programs list(Cse  cs) ads programs list
(Cse cs) ads programs list
 
Testing primer
Testing primerTesting primer
Testing primer
 
Stm unit1
Stm unit1Stm unit1
Stm unit1
 
Unix lab manual
Unix lab manualUnix lab manual
Unix lab manual
 
Stop complaining
Stop complainingStop complaining
Stop complaining
 
God doesn
God doesnGod doesn
God doesn
 
Os 2 cycle
Os 2 cycleOs 2 cycle
Os 2 cycle
 

Kürzlich hochgeladen

Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
ZurliaSoop
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
AnaAcapella
 

Kürzlich hochgeladen (20)

Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
2024-NATIONAL-LEARNING-CAMP-AND-OTHER.pptx
 
Key note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdfKey note speaker Neum_Admir Softic_ENG.pdf
Key note speaker Neum_Admir Softic_ENG.pdf
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptx
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
 
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
 
Spellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please PractiseSpellings Wk 3 English CAPS CARES Please Practise
Spellings Wk 3 English CAPS CARES Please Practise
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
TỔNG ÔN TẬP THI VÀO LỚP 10 MÔN TIẾNG ANH NĂM HỌC 2023 - 2024 CÓ ĐÁP ÁN (NGỮ Â...
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the Classroom
 
Single or Multiple melodic lines structure
Single or Multiple melodic lines structureSingle or Multiple melodic lines structure
Single or Multiple melodic lines structure
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
 

Dbms 2

  • 1. DBMS CYCLE II CREATE TABLE JOB ( CODE NUMBER(3) NOT NULL, NAME VARCHAR2(10) NOT NULL ); ALTER TABLE JOB ADD PRIMARY KEY (CODE); CREATE TABLE LOCATION ( CODE NUMBER(3) NOT NULL, NAME VARCHAR2(10) NOT NULL ); ALTER TABLE LOCATION ADD PRIMARY KEY (CODE); CREATE TABLE DEPT ( DEPTNO NUMBER(2) NOT NULL, NAME VARCHAR2(10), LOCATION NUMBER(3) NOT NULL ); ALTER TABLE DEPT ADD PRIMARY KEY (DEPTNO); ALTER TABLE DEPT ADD FOREIGN KEY (LOCATION) REFERENCES LOCATION (CODE); CREATE TABLE EMPLOYEE ( EMPNO NUMBER(4) NOT NULL, ENAME VARCHAR2(10), JOB NUMBER(3), MGR NUMBER(3), HIREDATE DATE, SAL NUMBER(8,2), COMM NUMBER(8,2), DEPTNO NUMBER(2) NOT NULL ); ALTER TABLE EMPLOYEE ADD PRIMARY KEY (EMPNO); ALTER TABLE EMPLOYEE ADD FOREIGN KEY (JOB) REFERENCES JOB (CODE);
  • 2. ALTER TABLE EMPLOYEE ADD FOREIGN KEY (MGR) REFERENCES EMPLOYEE (EMPNO); ALTER TABLE EMPLOYEE ADD FOREIGN KEY (DEPTNO) REFERENCES DEPT (DEPTNO); SQL> DESC EMPLOYEE; Name Type Nullable Default Comments -------- ------------ -------- ------- -------- EMPNO NUMBER(4) ENAME VARCHAR2(10) Y JOB NUMBER(3) Y MGR NUMBER(3) Y HIREDATE DATE Y SAL NUMBER(8,2) Y COMM NUMBER(8,2) Y DEPTNO NUMBER(2) SQL> DESC DEPT; Name Type Nullable Default Comments -------- ------------ -------- ------- -------- DEPTNO NUMBER(2) NAME VARCHAR2(10) Y LOCATION NUMBER(3) SQL> DESC JOB; Name Type Nullable Default Comments ---- ------------ -------- ------- -------- CODE NUMBER(3) NAME VARCHAR2(10) SQL> DESC LOCATION; Name Type Nullable Default Comments ---- ------------ -------- ------- -------- CODE NUMBER(3) NAME VARCHAR2(10) SQL> DESC JOB_GRADES; Name Type Nullable Default Comments -------- --------- -------- ------- -------- GRADE CHAR(1) Y LOW_SAL NUMBER(6) Y HIGH_SAL NUMBER(6) Y
  • 3. SQL> SELECT * FROM EMPLOYEE ORDER BY EMPNO; EMPNO ENAME JOB MGR HIREDATE SAL COMM DEPTNO ----- ---------- ---- ---- ----------- ---------- ---------- ----------------------------------------- 101 ASHISH 1 105 4/10/1998 220000.00 10 102 SAGAR 1 106 4/10/1998 280000.00 20 103 WILLIAMS 2 10/1/1996 480000.00 40 104 GEORGE 3 10/1/1996 520000.00 40 105 PRADEEP 3 101 11/5/1999 250000.00 00.00 30 106 SRINIVAS 3 105 12/6/1999 300000.00 2000.00 30 107 KEERTHI 1 106 6/15/1998 1500.00 2000.00 10 108 CHAWLA 1 107 6/16/1998 1800.00 4000.00 10 109 SATIBABU 4 106 6/17/1998 12000.00 4000.00 20 110 SRINIVAS 4 106 6/18/1998 14000.00 4000.00 20 111 SURYA 3 122 4/10/1998 33000.00 600.00 10 112 SHYAM 3 122 4/14/1998 28000.00 700.00 20 113 DENNIS 3 121 6/22/1999 20000.00 1000.00 10 114 SUNIL 3 125 6/21/1999 16000.00 10 115 ANIL 4 103 4/22/1998 22000.00 28000.00 10 116 SUHAS 3 126 3/20/1999 18000.00 22000.00 20 117 SURAJ 3 127 1/21/1995 25000.00 30 118 LAKSHMI 3 128 2/22/1996 36000.00 30 119 KARTHIK 3 122 2/23/1996 16000.00 40 120 PULLARAO 3 122 2/24/1996 35000.00 40 121 SUSHMA 4 122 2/25/1996 36000.00 30 122 ASHA 4 122 2/26/1996 37000.00 30 123 SUNNELA 4 122 2/27/1996 29000.00 40 124 SPOORTHY 4 103 3/12/1998 17000.00 40 125 SUNAINA 3 103 3/13/1998 16000.00 10 126 DURGARAO 3 105 3/14/1998 38000.00 2000.00 40 127 PAVAN 3 122 3/15/1998 19000.00 3000.00 40 128 HEMANTH 4 103 3/16/1998 28000.00 4000.00 40 129 NARESH 4 103 3/17/1998 30000.00 5000.00 40 29 rows selected SQL> SELECT * FROM DEPT ORDER BY DEPTNO; DEPTNO NAME LOCATION ------ ---------- ------------------------- 10 SALES 1 20 RESEARCH 3 30 ACCOUNTING 4 40 ADMIN 2
  • 4. SQL> SELECT * FROM JOB ORDER BY CODE; CODE NAME ---- -------------- 1 TRAINEE 2 PRESIDENT 3 ANALYST 4 CLERK SQL> SELECT * FROM LOCATION ORDER BY CODE; CODE NAME ---- --------------- 1 VIJAYAWADA 2 KAKINADA 3 TIRUPATHI 4 CHICAGO SQL> SELECT * FROM JOB_GRADES ORDER BY 1; GRADE LOW_SAL HIGH_SAL ----- ------- ---------------------------- A 1000 10000 B 10001 60000 C 60001 150000 D 150001 600000
  • 5. EXCERCISE - VI 1. List of departments with at least one ANALYST SELECT DEPTNO, COUNT(EMPNO) "NO OF ANALYSTS" FROM EMPLOYEE WHERE JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) = 'ANALYST') GROUP BY DEPTNO HAVING COUNT(EMPNO) >= 1 ORDER BY DEPTNO; DEPTNO NO OF ANALYSTS ------ ------------------------------- 10 4 20 2 30 4 40 5 4 rows selected 2. Locations that have the SALES department SELECT * FROM LOCATION WHERE CODE IN (SELECT LOCATION FROM DEPT WHERE UPPER(NAME) = 'SALES'); CODE NAME ---- --------------- 1 VIJAYAWADA 3. Locations that have at least one ANALYST SELECT L.NAME, COUNT(E.EMPNO) "NO OF ANALYSTS" FROM EMPLOYEE E, DEPT D, JOB J, LOCATION L WHERE E.DEPTNO = D.DEPTNO AND D.LOCATION = L.CODE AND E.JOB = J.CODE GROUP BY L.NAME HAVING COUNT(E.EMPNO) >= 1; NAME NO OF ANALYSTS ---------- ------------------------------- TIRUPATHI 5 VIJAYAWADA 8 KAKINADA 10 CHICAGO 6 4 rows selected 4. Employees and their department names SELECT E.EMPNO, E.ENAME, D.DEPTNO, D.NAME FROM EMPLOYEE E, DEPT D WHERE E.DEPTNO = D.DEPTNO ORDER BY E.EMPNO;
  • 6. EMPNO ENAME DEPTNO NAME ----- ---------- ------ ----------------------------- 101 ASHISH 10 SALES 102 SAGAR 20 RESEARCH 103 WILLIAMS 40 ADMIN 104 GEORGE 40 ADMIN 105 PRADEEP 30 ACCOUNTING 106 SRINIVAS 30 ACCOUNTING 107 KEERTHI 10 SALES 108 CHAWLA 10 SALES 109 SATIBABU 20 RESEARCH 110 SRINIVAS 20 RESEARCH 111 SURYA 10 SALES 112 SHYAM 20 RESEARCH 113 DENNIS 10 SALES 114 SUNIL 10 SALES 115 ANIL 10 SALES 116 SUHAS 20 RESEARCH 117 SURAJ 30 ACCOUNTING 118 LAKSHMI 30 ACCOUNTING 119 KARTHIK 40 ADMIN 120 PULLARAO 40 ADMIN 121 SUSHMA 30 ACCOUNTING 122 ASHA 30 ACCOUNTING 123 SUNNELA 40 ADMIN 124 SPOORTHY 40 ADMIN 125 SUNAINA 10 SALES 126 DURGARAO 40 ADMIN 127 PAVAN 40 ADMIN 128 HEMANTH 40 ADMIN 129 NARESH 40 ADMIN 29 rows selected 5. List the employees who draw more than ‘DENNIS’ (using joins) SELECT E1.EMPNO, E1.ENAME, E1.SAL FROM EMPLOYEE E1, EMPLOYEE E2 WHERE UPPER(E2.ENAME) = 'DENNIS' AND E1.SAL > E2.SAL; EMPNO ENAME SAL ----- ---------- --------------------------- 101 ASHISH 220000.00 102 SAGAR 280000.00 103 WILLIAMS 480000.00 104 GEORGE 520000.00 105 PRADEEP 250000.00 106 SRINIVAS 300000.00 111 SURYA 33000.00 112 SHYAM 28000.00 115 ANIL 22000.00
  • 7. 117 SURAJ 25000.00 118 LAKSHMI 36000.00 120 PULLARAO 35000.00 121 SUSHMA 36000.00 122 ASHA 37000.00 123 SUNNELA 29000.00 126 DURGARAO 38000.00 128 HEMANTH 28000.00 129 NARESH 30000.00 18 rows selected 6. Employees and their job functions SELECT E.EMPNO, E.ENAME, J.CODE, J.NAME FROM EMPLOYEE E, JOB J WHERE E.JOB = J.CODE ORDER BY E.EMPNO; EMPNO ENAME CODE NAME ----- ---------- ---- --------------------------------- 101 ASHISH 1 TRAINEE 102 SAGAR 1 TRAINEE 103 WILLIAMS 2 PRESIDENT 104 GEORGE 3 ANALYST 105 PRADEEP 3 ANALYST 106 SRINIVAS 3 ANALYST 107 KEERTHI 1 TRAINEE 108 CHAWLA 1 TRAINEE 109 SATIBABU 4 CLERK 110 SRINIVAS 4 CLERK 111 SURYA 3 ANALYST 112 SHYAM 3 ANALYST 113 DENNIS 3 ANALYST 114 SUNIL 3 ANALYST 115 ANIL 4 CLERK 116 SUHAS 3 ANALYST 117 SURAJ 3 ANALYST 118 LAKSHMI 3 ANALYST 119 KARTHIK 3 ANALYST 120 PULLARAO 3 ANALYST 121 SUSHMA 4 CLERK 122 ASHA 4 CLERK 123 SUNNELA 4 CLERK 124 SPOORTHY 4 CLERK 125 SUNAINA 3 ANALYST 126 DURGARAO 3 ANALYST 127 PAVAN 3 ANALYST 128 HEMANTH 4 CLERK 129 NARESH 4 CLERK 29 rows selected
  • 8. 7. Department name of DENNIS. SELECT E.ENAME, D.NAME FROM EMPLOYEE E, DEPT D WHERE E.DEPTNO = D.DEPTNO AND UPPER(E.ENAME) = 'DENNIS'; ENAME NAME ---------- ---------------- DENNIS SALES 8. Department name,Job name, and Location name of DENNIS SELECT E.EMPNO, E.ENAME, D.NAME, L.NAME, J.NAME FROM EMPLOYEE E, DEPT D, LOCATION L, JOB J WHERE E.DEPTNO = D.DEPTNO AND E.JOB = J.CODE AND D.LOCATION = L.CODE AND UPPER(E.ENAME) = 'DENNIS'; EMPNO ENAME NAME NAME NAME ----- ---------- ----------------------------------------------- ---------- ---------- 113 DENNIS SALES VIJAYAWADA ANALYST
  • 9. EXCERCISE - VII 1. Employees working in SALES department (using Subquery or joins) SELECT E.EMPNO, E.ENAME, D.NAME FROM EMPLOYEE E, DEPT D WHERE E.DEPTNO = D.DEPTNO AND UPPER(D.NAME) = 'SALES' ORDER BY 1; EMPNO ENAME NAME ----- ---------- --------------------- 101 ASHISH SALES 107 KEERTHI SALES 108 CHAWLA SALES 111 SURYA SALES 113 DENNIS SALES 114 SUNIL SALES 115 ANIL SALES 125 SUNAINA SALES 8 rows selected 2. List the department names and employees who draw commission less than 1000. Also display the departments even if no employee exists with the said condition. SELECT D.NAME, E.ENAME, E.COMM FROM (SELECT * FROM EMPLOYEE WHERE COMM < 1000) E, DEPT D WHERE E.DEPTNO(+) = D.DEPTNO NAME ENAME COMM ---------- ---------- ---------------------------------------- RESEARCH SHYAM 700.00 SALES SURYA 600.00 ACCOUNTING ADMIN 3. Employees and their locations SELECT E.EMPNO, E.ENAME, L.CODE, L.NAME FROM EMPLOYEE E, DEPT D, LOCATION L WHERE E.DEPTNO = D.DEPTNO AND D.LOCATION = L.CODE ORDER BY 1; EMPNO ENAME CODE NAME ----- ---------- ---- ---------------------------------------- 101 ASHISH 1 VIJAYAWADA 102 SAGAR 3 TIRUPATHI 103 WILLIAMS 2 KAKINADA 104 GEORGE 2 KAKINADA 105 PRADEEP 4 CHICAGO
  • 10. 106 SRINIVAS 4 CHICAGO 107 KEERTHI 1 VIJAYAWADA 108 CHAWLA 1 VIJAYAWADA 109 SATIBABU 3 TIRUPATHI 110 SRINIVAS 3 TIRUPATHI 111 SURYA 1 VIJAYAWADA 112 SHYAM 3 TIRUPATHI 113 DENNIS 1 VIJAYAWADA 114 SUNIL 1 VIJAYAWADA 115 ANIL 1 VIJAYAWADA 116 SUHAS 3 TIRUPATHI 117 SURAJ 4 CHICAGO 118 LAKSHMI 4 CHICAGO 119 KARTHIK 2 KAKINADA 120 PULLARAO 2 KAKINADA 121 SUSHMA 4 CHICAGO 122 ASHA 4 CHICAGO 123 SUNNELA 2 KAKINADA 124 SPOORTHY 2 KAKINADA 125 SUNAINA 1 VIJAYAWADA 126 DURGARAO 2 KAKINADA 127 PAVAN 2 KAKINADA 128 HEMANTH 2 KAKINADA 129 NARESH 2 KAKINADA 29 rows selected 4. All the analysts and their locations SELECT E.EMPNO, E.ENAME, J.NAME, L.NAME FROM EMPLOYEE E, DEPT D, LOCATION L, JOB J WHERE E.DEPTNO = D.DEPTNO AND D.LOCATION = L.CODE AND E.JOB = J.CODE AND UPPER(J.NAME) = 'ANALYST' ORDER BY 1; EMPNO ENAME NAME NAME ----- ---------- ---------- ------------------------------ 104 GEORGE ANALYST KAKINADA 105 PRADEEP ANALYST CHICAGO 106 SRINIVAS ANALYST CHICAGO 111 SURYA ANALYST VIJAYAWADA 112 SHYAM ANALYST TIRUPATHI 113 DENNIS ANALYST VIJAYAWADA 114 SUNIL ANALYST VIJAYAWADA 116 SUHAS ANALYST TIRUPATHI 117 SURAJ ANALYST CHICAGO 118 LAKSHMI ANALYST CHICAGO 119 KARTHIK ANALYST KAKINADA 120 PULLARAO ANALYST KAKINADA
  • 11. 125 SUNAINA ANALYST VIJAYAWADA 126 DURGARAO ANALYST KAKINADA 127 PAVAN ANALYST KAKINADA 15 rows selected 5. List the employees who are earning maximum salary in their respective departments SELECT EMPNO, ENAME, SAL, DEPTNO FROM EMPLOYEE WHERE (DEPTNO, SAL) IN (SELECT DEPTNO, MAX(SAL) FROM EMPLOYEE GROUP BY DEPTNO); EMPNO ENAME SAL DEPTNO ----- ---------- ---------- ----------------------------- 106 SRINIVAS 300000.00 30 104 GEORGE 520000.00 40 102 SAGAR 280000.00 20 101 ASHISH 220000.00 10 6. List employees whose salary exceeds their managers SELECT OUTER.EMPNO, OUTER.ENAME, OUTER.SAL, OUTER.MGR FROM EMPLOYEE OUTER WHERE EXISTS (SELECT 1 FROM EMPLOYEE INNER WHERE INNER.EMPNO = OUTER.MGR AND INNER.SAL < OUTER.SAL); EMPNO ENAME SAL MGR ----- ---------- ---------- -------------------------------- 108 CHAWLA 1800.00 107 106 SRINIVAS 300000.00 105 105 PRADEEP 250000.00 101 117 SURAJ 25000.00 127 118 LAKSHMI 36000.00 128 7. Employees and their salary grades SELECT E.EMPNO, E.ENAME, J.GRADE FROM EMPLOYEE E, JOB_GRADES J WHERE E.SAL BETWEEN J.LOW_SAL AND J.HIGH_SAL; EMPNO ENAME GRADE ----- ---------- --------------------------- 107 KEERTHI A 108 CHAWLA A 109 SATIBABU B 110 SRINIVAS B 125 SUNAINA B 119 KARTHIK B
  • 12. 114 SUNIL B 124 SPOORTHY B 116 SUHAS B 127 PAVAN B 113 DENNIS B 115 ANIL B 117 SURAJ B 112 SHYAM B 128 HEMANTH B 123 SUNNELA B 129 NARESH B 111 SURYA B 120 PULLARAO B 121 SUSHMA B 118 LAKSHMI B 122 ASHA B 126 DURGARAO B 101 ASHISH D 105 PRADEEP D 102 SAGAR D 106 SRINIVAS D 103 WILLIAMS D 104 GEORGE D 29 rows selected
  • 13. EXCERCISE - VIII 1. List the average annual salary for all the employees SELECT AVG(SAL) FROM EMPLOYEE; AVG(SAL) ---------- 88906.8965 2. The maximum salary of clerks in the company SELECT J.NAME, MAX(SAL) "MAXIMUM_SALARY" FROM EMPLOYEE E, JOB J WHERE E.JOB = J.CODE AND UPPER(J.NAME) = 'CLERK' GROUP BY J.NAME; NAME MAXIMUM_SALARY ---------- --------------------------------- CLERK 37000 3. How many employees are drawing commission? SELECT COUNT(EMPNO) FROM EMPLOYEE WHERE COMM IS NOT NULL; COUNT(EMPNO) -------------------------- 15 4. Find all the ANALYSTS with the minimum salary among ANALYSTS SELECT EMPNO,ENAME,JOB,SAL FROM EMPLOYEE WHERE (JOB, SAL) = (SELECT JOB, MIN(SAL) FROM EMPLOYEE WHERE JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) = 'ANALYST') GROUP BY JOB); EMPNO ENAME JOB SAL ----- ---------- ---- ---------------------------- 125 SUNAINA 3 16000.00 119 KARTHIK 3 16000.00 114 SUNIL 3 16000.00
  • 14. 5. Find the total salary and commission for all the employees SELECT EMPNO, ENAME, (SAL + NVL(COMM, 0)) "TOTAL_SALARY", NVL(COMM, 0) FROM EMPLOYEE; EMPNO ENAME TOTAL_SALARY NVL(COMM,0) ----- ---------- ------------ -------------------------------------------- 125 SUNAINA 16000 0 124 SPOORTHY 17000 0 123 SUNNELA 29000 0 122 ASHA 37000 0 121 SUSHMA 36000 0 120 PULLARAO 35000 0 119 KARTHIK 16000 0 118 LAKSHMI 36000 0 117 SURAJ 25000 0 116 SUHAS 40000 22000 115 ANIL 50000 28000 114 SUNIL 16000 0 113 DENNIS 21000 1000 112 SHYAM 28700 700 111 SURYA 33600 600 110 SRINIVAS 18000 4000 109 SATIBABU 16000 4000 108 CHAWLA 5800 4000 107 KEERTHI 3500 2000 106 SRINIVAS 302000 2000 105 PRADEEP 252000 2000 104 GEORGE 520000 0 103 WILLIAMS 480000 0 102 SAGAR 280000 0 101 ASHISH 220000 0 126 DURGARAO 40000 2000 127 PAVAN 22000 3000 128 HEMANTH 32000 4000 129 NARESH 35000 5000 29 rows selected
  • 15. 6. Find all the employees who earn more than the average salary of their respective departments SELECT OUTER.EMPNO, OUTER.ENAME, OUTER.SAL, OUTER.DEPTNO FROM EMPLOYEE OUTER WHERE OUTER.SAL > (SELECT AVG(INNER.SAL) FROM EMPLOYEE INNER WHERE INNER.DEPTNO = OUTER.DEPTNO) ORDER BY 1; EMPNO ENAME SAL DEPTNO ----- ---------- ---------- ------------------------- 101 ASHISH 220000.00 10 102 SAGAR 280000.00 20 103 WILLIAMS 480000.00 40 104 GEORGE 520000.00 40 105 PRADEEP 250000.00 30 106 SRINIVAS 300000.00 30 7. Find average salary, number of employees and total salary department wise SELECT DEPTNO, AVG(SAL), COUNT(EMPNO), SUM(SAL) FROM EMPLOYEE GROUP BY DEPTNO ORDER BY 1; DEPTNO AVG(SAL) COUNT(EMPNO) SUM(SAL) ------ ---------- ------------ -------------------------------------- 10 41287.5 8 330300 20 70400 5 352000 30 114000 6 684000 40 121200 10 1212000 8. Average salary of all analysts, department wise SELECT DEPTNO, AVG(SAL) FROM EMPLOYEE WHERE JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) = 'ANALYST') GROUP BY DEPTNO ORDER BY 1; DEPTNO AVG(SAL) ------ ---------- 10 21250 20 23000 30 152750 40 125600
  • 16. 9. List the departments with at least two clerks SELECT DEPTNO, COUNT(EMPNO) "TOTAL_NO_OF_EMPLOYEES" FROM EMPLOYEE WHERE JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) = 'CLERK') GROUP BY DEPTNO HAVING COUNT(EMPNO) >= 2 ORDER BY 1; DEPTNO TOTAL_NO_OF_EMPLOYEES ------ --------------------- 20 2 30 2 40 4 10.Number of employees and average salary for each department in each location SELECT D.DEPTNO, D.NAME, L.CODE, L.NAME, COUNT(E.EMPNO), AVG(E.SAL) FROM EMPLOYEE E, DEPT D, LOCATION L WHERE E.DEPTNO = D.DEPTNO AND D.LOCATION = L.CODE GROUP BY D.DEPTNO, D.NAME, L.CODE, L.NAME ORDER BY 1; DEPTNO NAME CODE NAME COUNT(E.EMPNO) AVG(E.SAL) ------ ---------- ---- ---------- -------------- ------------------------------------------------- 10 SALES 1 VIJAYAWADA 8 41287.5 20 RESEARCH 3 TIRUPATHI 5 70400 30 ACCOUNTING 4 CHICAGO 6 114000 40 ADMIN 2 KAKINADA 10 121200
  • 17. EXCERCISE - IX 1. Find the number of employees and average salary for each job group in each department having more than 3 employees in each job group. SELECT DEPTNO, JOB, COUNT(EMPNO), AVG(SAL) FROM EMPLOYEE GROUP BY DEPTNO, JOB HAVING COUNT(EMPNO) > 3 ORDER BY 1; DEPTNO JOB COUNT(EMPNO) AVG(SAL) ------ ---- ------------ ---------------------------------------- 10 3 4 21250 30 3 4 152750 40 3 5 125600 40 4 4 26000 2. Find the number of analysts in each department having more than one employee SELECT DEPTNO, COUNT(EMPNO) "NO_OF_EMPLOYEES" FROM EMPLOYEE WHERE JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) = 'ANALYST') GROUP BY DEPTNO HAVING COUNT(EMPNO) > 0 ORDER BY 1; DEPTNO NO_OF_EMPLOYEES ------ --------------- 10 4 20 2 30 4 40 5 3. Display the names of employees along with their department names from the departments having at least three employees SELECT E.EMPNO, E.ENAME, D.DEPTNO, D.NAME FROM EMPLOYEE E, DEPT D WHERE E.DEPTNO = D.DEPTNO AND E.DEPTNO IN (SELECT DEPTNO FROM EMPLOYEE GROUP BY DEPTNO HAVING COUNT(EMPNO) > 3) ORDER BY 1; EMPNO ENAME DEPTNO NAME ----- ---------- ------ ------------------------------ 101 ASHISH 10 SALES 102 SAGAR 20 RESEARCH 103 WILLIAMS 40 ADMIN 104 GEORGE 40 ADMIN 105 PRADEEP 30 ACCOUNTING 106 SRINIVAS 30 ACCOUNTING 107 KEERTHI 10 SALES 108 CHAWLA 10 SALES
  • 18. 109 SATIBABU 20 RESEARCH 110 SRINIVAS 20 RESEARCH 111 SURYA 10 SALES 112 SHYAM 20 RESEARCH 113 DENNIS 10 SALES 114 SUNIL 10 SALES 115 ANIL 10 SALES 116 SUHAS 20 RESEARCH 117 SURAJ 30 ACCOUNTING 118 LAKSHMI 30 ACCOUNTING 119 KARTHIK 40 ADMIN 120 PULLARAO 40 ADMIN 121 SUSHMA 30 ACCOUNTING 122 ASHA 30 ACCOUNTING 123 SUNNELA 40 ADMIN 124 SPOORTHY 40 ADMIN 125 SUNAINA 10 SALES 126 DURGARAO 40 ADMIN 127 PAVAN 40 ADMIN 128 HEMANTH 40 ADMIN 129 NARESH 40 ADMIN 29 rows selected 4. Name the departments where in you have atleast one employee drawing more than the average salary of their respective department. SELECT DEPTNO, NAME FROM DEPT WHERE DEPTNO IN (SELECT OUTER.DEPTNO FROM EMPLOYEE OUTER WHERE OUTER.SAL > (SELECT AVG(INNER.SAL) FROM EMPLOYEE INNER WHERE INNER.DEPTNO = OUTER.DEPTNO)); DEPTNO NAME ------ -------------------------- 10 SALES 20 RESEARCH 30 ACCOUNTING 40 ADMIN 5. Find out all departments with at least one employee SELECT DEPTNO, NAME FROM DEPT WHERE DEPTNO IN (SELECT DISTINCT DEPTNO FROM EMPLOYEE); DEPTNO NAME
  • 19. ------ ----------------------- 10 SALES 20 RESEARCH 30 ACCOUNTING 40 ADMIN 6. List of departments with at least one ANALYST SELECT DEPTNO, NAME FROM DEPT WHERE DEPTNO IN (SELECT DISTINCT DEPTNO FROM EMPLOYEE WHERE JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) = 'ANALYST')); DEPTNO NAME ------ --------------------- 10 SALES 20 RESEARCH 30 ACCOUNTING 40 ADMIN 7. Locations that have SALES department SELECT L.CODE, L.NAME FROM DEPT D, LOCATION L WHERE D.LOCATION = L.CODE AND UPPER(D.NAME) = 'SALES'; CODE NAME ---- ---------- 1 VIJAYAWADA 8.Locations that have at least one ANALYST SELECT DISTINCT L.CODE, L.NAME FROM EMPLOYEE E, DEPT D, LOCATION L, JOB J WHERE E.DEPTNO = D.DEPTNO AND E.JOB = J.CODE AND D.LOCATION = L.CODE AND UPPER(J.NAME) = 'ANALYST'; CODE NAME ---- ---------- 1 VIJAYAWADA 2 KAKINADA 3 TIRUPATHI 4 CHICAGO
  • 20. EXCERCISE – X 1.Employes with department names SELECT E.EMPNO, E.ENAME, D.DEPTNO, D.NAME FROM EMPLOYEE E, DEPT D WHERE E.DEPTNO = D.DEPTNO ORDER BY 1; EMPNO ENAME DEPTNO NAME ----- ---------- ------ ---------------------------- 101 ASHISH 10 SALES 102 SAGAR 20 RESEARCH 103 WILLIAMS 40 ADMIN 104 GEORGE 40 ADMIN 105 PRADEEP 30 ACCOUNTING 106 SRINIVAS 30 ACCOUNTING 107 KEERTHI 10 SALES 108 CHAWLA 10 SALES 109 SATIBABU 20 RESEARCH 110 SRINIVAS 20 RESEARCH 111 SURYA 10 SALES 112 SHYAM 20 RESEARCH 113 DENNIS 10 SALES 114 SUNIL 10 SALES 115 ANIL 10 SALES 116 SUHAS 20 RESEARCH 117 SURAJ 30 ACCOUNTING 118 LAKSHMI 30 ACCOUNTING 119 KARTHIK 40 ADMIN 120 PULLARAO 40 ADMIN 121 SUSHMA 30 ACCOUNTING 122 ASHA 30 ACCOUNTING 123 SUNNELA 40 ADMIN 124 SPOORTHY 40 ADMIN 125 SUNAINA 10 SALES 126 DURGARAO 40 ADMIN 127 PAVAN 40 ADMIN 128 HEMANTH 40 ADMIN 129 NARESH 40 ADMIN 29 rows selected 2.Employees and their job function SELECT E.EMPNO, E.ENAME, E.JOB, J.NAME FROM EMPLOYEE E, JOB J WHERE E.JOB = J.CODE ORDER BY 1; EMPNO ENAME JOB NAME ----- ---------- ---- -------------------------------- 101 ASHISH 1 TRAINEE 102 SAGAR 1 TRAINEE
  • 21. 103 WILLIAMS 2 PRESIDENT 104 GEORGE 3 ANALYST 105 PRADEEP 3 ANALYST 106 SRINIVAS 3 ANALYST 107 KEERTHI 1 TRAINEE 108 CHAWLA 1 TRAINEE 109 SATIBABU 4 CLERK 110 SRINIVAS 4 CLERK 111 SURYA 3 ANALYST 112 SHYAM 3 ANALYST 113 DENNIS 3 ANALYST 114 SUNIL 3 ANALYST 115 ANIL 4 CLERK 116 SUHAS 3 ANALYST 117 SURAJ 3 ANALYST 118 LAKSHMI 3 ANALYST 119 KARTHIK 3 ANALYST 120 PULLARAO 3 ANALYST 121 SUSHMA 4 CLERK 122 ASHA 4 CLERK 123 SUNNELA 4 CLERK 124 SPOORTHY 4 CLERK 125 SUNAINA 3 ANALYST 126 DURGARAO 3 ANALYST 127 PAVAN 3 ANALYST 128 HEMANTH 4 CLERK 129 NARESH 4 CLERK 29 rows selected 3.Deparment name of the Dennis SELECT DEPTNO, NAME FROM DEPT WHERE DEPTNO = (SELECT DEPTNO FROM EMPLOYEE WHERE UPPER(ENAME) = 'DENNIS'); DEPTNO NAME ------ -------------------------- 10 SALES 4.Location,Department name,job name of Dennis SELECT E.ENAME, D.NAME, L.NAME, J.NAME FROM EMPLOYEE E, DEPT D, JOB J, LOCATION L WHERE E.DEPTNO = D.DEPTNO AND D.LOCATION = L.CODE AND E.JOB = J.CODE AND UPPER(E.ENAME) = 'DENNIS';
  • 22. ENAME NAME NAME NAME ---------- ---------- ---------- ------------------------------- DENNIS SALES VIJAYAWADA ANALYST 5.Employees working in sales department SELECT E.EMPNO,E.ENAME,D.NAME FROM EMPLOYEE E,DEPT D WHERE E.DEPTNO=D.DEPTNO AND D.NAME='SALES' ORDER BY 1; EMPNO ENAME NAME ----- ---------- -------------------------- 101 ASHISH SALES 107 KEERTHI SALES 108 CHAWLA SALES 111 SURYA SALES 113 DENNIS SALES 114 SUNIL SALES 115 ANIL SALES 125 SUNAINA SALES 6.Employees and their locations SELECT E.EMPNO, E.ENAME, L.CODE, L.NAME FROM EMPLOYEE E, DEPT D, LOCATION L WHERE E.DEPTNO = D.DEPTNO AND D.LOCATION = L.CODE ORDER BY 1; EMPNO ENAME CODE NAME ----- ---------- ---- --------------------------------------- 101 ASHISH 1 VIJAYAWADA 102 SAGAR 3 TIRUPATHI 103 WILLIAMS 2 KAKINADA 104 GEORGE 2 KAKINADA 105 PRADEEP 4 CHICAGO 106 SRINIVAS 4 CHICAGO 107 KEERTHI 1 VIJAYAWADA 108 CHAWLA 1 VIJAYAWADA 109 SATIBABU 3 TIRUPATHI 110 SRINIVAS 3 TIRUPATHI 111 SURYA 1 VIJAYAWADA 112 SHYAM 3 TIRUPATHI 113 DENNIS 1 VIJAYAWADA 114 SUNIL 1 VIJAYAWADA 115 ANIL 1 VIJAYAWADA 116 SUHAS 3 TIRUPATHI 117 SURAJ 4 CHICAGO 118 LAKSHMI 4 CHICAGO 119 KARTHIK 2 KAKINADA 120 PULLARAO 2 KAKINADA 121 SUSHMA 4 CHICAGO
  • 23. 122 ASHA 4 CHICAGO 123 SUNNELA 2 KAKINADA 124 SPOORTHY 2 KAKINADA 125 SUNAINA 1 VIJAYAWADA 126 DURGARAO 2 KAKINADA 127 PAVAN 2 KAKINADA 128 HEMANTH 2 KAKINADA 129 NARESH 2 KAKINADA 29 rows selected 7.All the ANALYSTS and their locations SELECT E.EMPNO, E.ENAME, L.CODE, L.NAME FROM EMPLOYEE E, DEPT D, LOCATION L WHERE E.DEPTNO = D.DEPTNO AND D.LOCATION = L.CODE AND E.JOB = (SELECT CODE FROM JOB WHERE UPPER(NAME) = 'ANALYST') ORDER BY 1; EMPNO ENAME CODE NAME ----- ---------- ---- -------------------------------- 104 GEORGE 2 KAKINADA 105 PRADEEP 4 CHICAGO 106 SRINIVAS 4 CHICAGO 111 SURYA 1 VIJAYAWADA 112 SHYAM 3 TIRUPATHI 113 DENNIS 1 VIJAYAWADA 114 SUNIL 1 VIJAYAWADA 116 SUHAS 3 TIRUPATHI 117 SURAJ 4 CHICAGO 118 LAKSHMI 4 CHICAGO 119 KARTHIK 2 KAKINADA 120 PULLARAO 2 KAKINADA 125 SUNAINA 1 VIJAYAWADA 126 DURGARAO 2 KAKINADA 127 PAVAN 2 KAKINADA 15 rows selected 8.List of all employees earn maximum salary in thier respective departments SELECT D.DEPTNO,D.NAME,E.EMPNO, E.ENAME, E.SAL FROM EMPLOYEE E,DEPT D WHERE (D.DEPTNO, E.SAL) IN
  • 24. (SELECT DEPTNO, MAX(SAL) FROM EMPLOYEE GROUP BY DEPTNO); DEPTNO NAME EMPNO ENAME SAL ------ ---------- ----- ---------- ----------------------------------------- 10 SALES 101 ASHISH 220000.00 20 RESEARCH 102 SAGAR 280000.00 30 ACCOUNTING 106 SRINIVAS 300000.00 40 ADMIN 104 GEORGE 520000.00 9.List of employees who's salary exceeds their managers. SELECT OUTER.EMPNO, OUTER.ENAME, OUTER.SAL FROM EMPLOYEE OUTER WHERE EXISTS (SELECT 1 FROM EMPLOYEE INNER WHERE INNER.EMPNO = OUTER.MGR AND INNER.SAL < OUTER.SAL) ORDER BY 1; EMPNO ENAME SAL ----- ---------- -------------------------------- 105 PRADEEP 250000.00 106 SRINIVAS 300000.00 108 CHAWLA 1800.00 117 SURAJ 25000.00 118 LAKSHMI 36000.00