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First Name	Last Name	wiki id	Learn e-mail	Phone
YuJin	Jeong	yujin.jeong	yjeong	647 - 832 - 6771
Saad
James

Assignment 3 (worth 9%)

Due Date

Thursday, December 2nd, 3:00pm Printout of all TIC charts and DDL / DML statements

Solution

DDL Statements (CREATE TABLE)

1. AREA

CREATE TABLE AREA
(
  AreaID     NUMBER(4)    CONSTRAINT area_areaid_pk PRIMARY KEY,
  AreaName   VARCHAR2(30) NOT NULL CONSTRAINT area_areaname_uk UNIQUE,
  ElmSchool  VARCHAR2(40),
  MidSchool  VARCHAR2(40),
  HighSchool VARCHAR2(40),
  Comments   VARCHAR2(100)
);

2. AGENCY

CREATE TABLE AGENCY
(
  AgencyID     NUMBER(4)    CONSTRAINT agency_agencyid_pk PRIMARY KEY,
  AgencyName   VARCHAR2(40) NOT NULL CONSTRAINT agency_agencyname_uk UNIQUE,
  AgencyPhone  VARCHAR2(15) NOT NULL CONSTRAINT agency_agencyphone_uk UNIQUE
);

3. PROPERTY

CREATE TABLE PROPERTY
(
  PropertyID   NUMBER(6)    CONSTRAINT property_propertyid_pk PRIMARY KEY,
  Street       VARCHAR2(40) NOT NULL,
  City         VARCHAR2(30) NOT NULL,
  Province     CHAR(2)      NOT NULL,
  PostalCode   CHAR(6)      NOT NULL,
  Bedrooms     NUMBER(1)    NOT NULL
               CONSTRAINT property_bedrooms_ck CHECK(Bedrooms BETWEEN 1 AND 9),
  Bathrooms    NUMBER(1)    NOT NULL
               CONSTRAINT property_bathrooms_ck CHECK(Bathrooms BETWEEN 1 AND 9),
  ListingPrice NUMBER(6)    NOT NULL
               CONSTRAINT property_listingprice_ck CHECK(ListingPrice BETWEEN 1 AND 4999999),
  AreaID       NUMBER(4)    NOT NULL
               CONSTRAINT property_areaid_fk FOREIGN KEY(AreaID) REFERENCES AREA(AreaID)
);

4. SINGLE

CREATE TABLE SINGLE
(
  PropertyID  NUMBER(6)   CONSTRAINT single_propertyID_pk PRIMARY KEY
                          CONSTRAINT single_propertyID_fk FOREIGN KEY(PropertyID)
                                     REFERENCES PROPERTY(PropertyID),
  LotSize     NUMBER(8,2) NOT NULL CONSTRAINT single_lotsize_ck CHECK(LotSize > 0)
);

5. CONDO

CREATE TABLE CONDO
(
  PropertyID  NUMBER(6)   CONSTRAINT condo_propertyID_pk PRIMARY KEY
                          CONSTRAINT condo_propertyID_fk FOREIGN KEY(PropertyID)
                                     REFERENCES PROPERTY(PropertyID),
  Fee         NUMBER(8,2) NOT NULL CONSTRAINT condo_fee_ck CHECK(Fee > 0)
);

6. OUTLET

CREATE TABLE OUTLET
(
  OutletID    NUMBER(4),   
  OutletName  VARCHAR2(40) NOT NULL,
  OutletPhone VARCHAR2(15) NOT NULL,
  OutletType  CHAR(1)      NOT NULL,
  CONSTRAINT outlet_outletid_pk        PRIMARY KEY(OutletID),
  CONSTRAINT outlet_outlettype_ck      CHECK(OutletType IN('N','M','W','F')),
  CONSTRAINT outlet_outletname_type_uk UNIQUE(OutletName, OutletType)
);

7. ADVERTISEMENT

CREATE TABLE OUTLET
(
  OutletID    NUMBER(4),   
  OutletName  VARCHAR2(40) NOT NULL,
  OutletPhone VARCHAR2(15) NOT NULL,
  OutletType  CHAR(1)      NOT NULL,
  CONSTRAINT outlet_outletid_pk        PRIMARY KEY(OutletID),
  CONSTRAINT outlet_outlettype_ck      CHECK(OutletType IN('N','M','W','F')),
  CONSTRAINT outlet_outletname_type_uk UNIQUE(OutletName, OutletType)
);

8. CLIENT

CREATE TABLE CLIENT
(
  ClientID  NUMBER(6),
  Fname     VARCHAR2(30) NOT NULL,
  Lname     VARCHAR2(30) NOT NULL,
  Phone     VARCHAR2(15) NOT NULL,
  Email     VARCHAR2(40),
  RefID     NUMBER(6),
  CONSTRAINT client_clientid_pk PRIMARY KEY(ClientID),
  CONSTRAINT client_phone_uk UNIQUE(Phone),
  CONSTRAINT client_email_uk UNIQUE(Email),
  CONSTRAINT client_refid_fk FOREIGN KEY(RefID) REFERENCES CLEINT(ClientID)
);

9. DEED

CREATE TABLE DEED
(
  PropertyID  NUMBER(6),
  SellerID    NUMBER(6),
  OwnPct      NUMBER(5,2)  NOT NULL,
  BuyerID     NUMBER(6),
  BuyPrice    NUMBER(7),
  CONSTRAINT deed_deedid_pk     PRIMARY KEY(PropertyID, SellerID),
  CONSTRAINT deed_propertyid_fk FOREIGN KEY(PropertyID) REFERENCES PROPERTY(PropertyID),
  CONSTRAINT deed_sellerid_fk   FOREIGN KEY(SellerID) REFERENCES CLIENT(ClientID),
  CONSTRAINT deed_buyerid_fk    FOREIGN KEY(BuyerID) REFERENCES CLIENT(ClientID),
  CONSTRAINT deed_ownpct_ck     CHECK(OwnPct > 0 AND OwnPct <= 100),
  CONSTRAINT deed_buyprice_ck   CHECK(BuyPrice BETWEEN 1 AND 4999999)
);

Assignment 1

Due Date

Thursday, October 21st, 4:00pm Printout submission only( SELECT Statements + ALL outputs)

Description

Assignment1

Solution

SQL> SELECT   employee_id, RPAD(CONCAT(CONCAT(last_name, ', '),first_name), 25) "Full Name",

  2           job_id,

  3           TO_CHAR(TRUNC(hire_date, 'MONTH'), 'fmMonth Ddspth "in the year" YYYY')

  4           "Start Date"

  5  FROM     employees

  6  WHERE    TO_CHAR(hire_date, 'mm') IN (05, 11)

  7  ORDER BY 4 DESC;

 

EMPLOYEE_ID Full Name                 JOB_ID     Start Date                                        

----------- ------------------------- ---------- -----------------------------------------         

        124 Mourgos, Kevin            ST_MAN     November First in the year 1999                   

        178 Grant, Kimberely          SA_REP     May First in the year 1999                        

        174 Abel, Ellen               SA_REP     May First in the year 1996                        

        104 Ernst, Bruce              IT_PROG    May First in the year 1991                        

 

SQL> SELECT    'Employee named ' || first_name || ' ' || last_name || ' who is '

  2            || job_id || ' will have a new salary of $' || salary * 1.15 "Happy Employees"

  3  FROM      employees

  4  WHERE     salary BETWEEN 5000 AND 12000

  5  AND       job_id IN ('IT_PROG', 'ST_CLERK')

  6  ORDER BY  employee_id;

 

Happy Employees                                                                                    

----------------------------------------------------------------------------------------------------

Employee named Alexander Hunold who is IT_PROG will have a new salary of $10350                    

Employee named Bruce Ernst who is IT_PROG will have a new salary of $6900                          

 

SQL> SELECT    last_name, salary, job_id,

  2     RPAD(NVL(TO_CHAR(manager_id), 'No Manager'), 10) "Manager #",

  3     LPAD(TO_CHAR(salary * 12, '$999,999'), 12) "Total Income"

  4  FROM     employees

  5  WHERE    (job_id LIKE 'MK%' OR manager_id IS NULL)

  6  AND      salary * (1 + NVL(commission_pct, 0)) + 1000 > 10000

  7  ORDER BY  2 DESC;

 

LAST_NAME                     SALARY JOB_ID     Manager #  Total Income                            

------------------------- ---------- ---------- ---------- ------------                            

King                           24000 AD_PRES    No Manager     $288,000                            

Hartstein                      13000 MK_MAN     100            $156,000                            

 

SQL> SELECT   RPAD(CONCAT(CONCAT(first_name,' '),last_name), 25) "Employee", job_id,

  2           LPAD(TRIM(TO_CHAR(salary, '$999,999')), 12, '=') "Salary", department_name

  3  FROM     employees e JOIN departments d

  4  ON       (e.department_id = d.department_id)

  5  WHERE    UPPER(department_name) IN ('MARKETING', 'SALES')

  6  AND      salary <

  7                    (SELECT MAX(salary)

  8                     FROM   employees

  9                     WHERE  SUBSTR(job_id, 4) NOT IN ('PRES','VP','MAN','MGR'))

 10  ORDER BY 1;

 

Employee                  JOB_ID     Salary       DEPARTMENT_NAME                                   

------------------------- ---------- ------------ ------------------------------                   

Eleni Zlotkey             SA_MAN     =====$10,500 Sales                                            

Jonathon Taylor           SA_REP     ======$8,600 Sales                                            

Pat Fay                   MK_REP     ======$6,000 Marketing                                        

 

SQL>

SQL> SELECT last_name, salary, job_id

  2  FROM   employees

  3  WHERE  UPPER(job_id) NOT LIKE '%PRES'

  4  AND    salary >

  5                 (SELECT MAX(salary)

  6                  FROM   employees

  7                  JOIN   departments USING (department_id)

  8                  JOIN   locations   USING (location_id)

  9                  WHERE  UPPER(city) IN ('TORONTO','OXFORD'));

 

LAST_NAME                     SALARY JOB_ID                                                        

------------------------- ---------- ----------                                                     

Kochhar                        17000 AD_VP                                                         

De Haan                        17000 AD_VP                                                         

 

SQL> SELECT last_name, first_name, job_id, hire_date

  2  FROM   employees

  3  WHERE  hire_date >

  4                     (SELECT MAX(hire_date)

  5                      FROM   employees

  6                      WHERE  department_id =

  7                                            (SELECT department_id

  8                                             FROM   departments

  9                                             WHERE  UPPER(department_name) = 'IT'))

 10  AND (department_id !=

 11                     (SELECT department_id

 12                      FROM   departments

 13                      WHERE  UPPER(department_name) = 'EXECUTIVE')

 14  OR  department_id IS NULL)

 15  ORDER BY 4 DESC;

 

LAST_NAME                 FIRST_NAME           JOB_ID     HIRE_DATE                                 

------------------------- -------------------- ---------- ---------                                

Zlotkey                   Eleni                SA_MAN     29-JAN-00                                

Mourgos                   Kevin                ST_MAN     16-NOV-99                                

Grant                     Kimberely            SA_REP     24-MAY-99                                

 

SQL> SELECT department_id, job_id, AVG(salary) "Average Dept/Job Pay",

  2         MIN(salary) "Lowest Dept/Job Pay"

  3  FROM   employees

  4  WHERE  UPPER(job_id) NOT LIKE '%VP'

  5  AND    department_id NOT IN

  6               (SELECT department_id

  7                FROM   departments

  8                WHERE  UPPER(department_name) IN ('IT','SALES'))

  9  GROUP BY department_id, job_id

 10  HAVING   MIN(salary) BETWEEN 5000 AND 15000

 11  ORDER BY 1, 2;

 

DEPARTMENT_ID JOB_ID     Average Dept/Job Pay Lowest Dept/Job Pay                                  

------------- ---------- -------------------- -------------------                                  

           20 MK_MAN                    13000               13000                                  

           20 MK_REP                     6000                6000                                   

           50 ST_MAN                     5800                5800                                  

          110 AC_ACCOUNT                 8300                8300                                  

          110 AC_MGR                    12000               12000                                  

 

SQL> SELECT    department_id, department_name,

  2            RPAD(TRIM(NVL(city, 'Not Assinged Yet')), 25, ' ') "City",

  3            COUNT(DISTINCT job_id) "# of Jobs"

  4  FROM      employees

  5  RIGHT OUTER JOIN  departments USING (department_id)

  6  LEFT  OUTER JOIN  locations   USING (location_id)

  7  GROUP BY  department_id, department_name, city;

 

DEPARTMENT_ID DEPARTMENT_NAME                City                       # of Jobs                  

------------- ------------------------------ ------------------------- ----------                  

          110 Accounting                     Seattle                            2                  

           50 Shipping                       South San Francisco                2                  

           80 Sales                          Oxford                             2                  

           10 Administration                 Seattle                            1                  

          190 Contracting                    Seattle                            0                  

           90 Executive                      Seattle                            2                  

           20 Marketing                      Toronto                            2                  

           60 IT                             Southlake                          1                  

 

8 rows selected.

 

SQL> spool off

SQL Statements

1.

YuJin

SELECT   employee_id, RPAD(CONCAT(CONCAT(last_name, ', '),first_name), 25) "Full Name",
         job_id,
         TO_CHAR(TRUNC(hire_date, 'MONTH'), 'fmMonth Ddspth "in the year" YYYY')
         "Start Date"
FROM     employees
WHERE    TO_CHAR(hire_date, 'mm') IN (05, 11)
ORDER BY 4 DESC;

Saad

SELECT employee_id,
         SUBSTR(last_name ||' '|| first_name, 1, 25) "Full Name",
         job_id,
         TO_CHAR(hire_date,'fmMonth "First in the year" YYYY') "Start Date"
FROM employees
WHERE TO_CHAR(hire_date,'fmMON') IN ('MAY','NOV')
ORDER BY hire_date DESC
/

James

select employee_id "Emp#",
    (last_name ||', '|| first_name) "Full Name",
          job_id "Job",
          to_char(trunc(hire_date, 'MONTH'), 'FMMonth Ddspth "in the year"
YYYY') "Start Date"
from employees
where to_char(hire_date, 'fmMonth') in ('May', 'November')
order by hire_date desc;

FINAL

SELECT   employee_id, SUBSTR(last_name ||' '|| first_name, 1, 25) "Full Name",
         job_id,
         TO_CHAR(TRUNC(hire_date, 'MONTH'), 'fmMonth Ddspth "in the year" YYYY')
         "Start Date"
FROM     employees
WHERE    TO_CHAR(hire_date, 'mm') IN (05, 11)
ORDER BY hire_date DESC;

2.

YuJin

SELECT    'Employee named ' || first_name || ' ' || last_name || ' who is '
          || job_id || ' will have a new salary of $' || salary * 1.15 "Happy Employees"
FROM      employees
WHERE     salary BETWEEN 5000 AND 12000
AND       job_id IN ('IT_PROG', 'ST_CLERK')
ORDER BY  employee_id;

Saad

SELECT 'Employee named '||first_name||' '||last_name||' who is '||job_id||' will have a new salary of $'|| salary *1.15 "Happy Employees"
FROM employees
WHERE job_id IN ('IT_PROG','ST CLERK')
      AND (salary BETWEEN 5000 AND 12000)
/

James

Select ('Employee named ' || first_name ||' '|| last_name || ' who is ' || job_id || ' will have a new salary of ' || (salary*1.15)) "Happy Employees"
From employees
Where salary between 5000 and 12000
And upper(job_id) in ('IT_PROG', 'ST_CLERK')
order by employee_id;

FINAL

SELECT    'Employee named ' || first_name || ' ' || last_name || ' who is '
          || job_id || ' will have a new salary of ' || TO_CHAR(salary * 1.15, 'fm$999999') "Happy Employees"
FROM      employees
WHERE     salary BETWEEN 5000 AND 12000
AND       UPPER(job_id) IN ('IT_PROG', 'ST_CLERK')
ORDER BY  employee_id;

3.

YuJin

SELECT    last_name, salary, job_id,
      RPAD(NVL(TO_CHAR(manager_id), 'No Manager'), 10) "Manager #",
      LPAD(TO_CHAR(salary * 12, '$999,999'), 12) "Total Income"
FROM       employees
WHERE       (job_id LIKE 'MK%' OR manager_id IS NULL)
AND       salary * (1 + NVL(commission_pct, 0)) + 1000 > 10000
ORDER BY  2 DESC;

Saad

SELECT last_name, salary, job_id, NVL(TO_CHAR(manager_id),'No Manager') Manager#,
        TO_CHAR(salary*12,'$999,999') "Total Income"
FROM employees
WHERE (manager_id IS NULL
        OR job_id LIKE 'MK%')
        AND ( salary* (NVL(commission_pct,0) + 1) + 1000 ) > 10000
ORDER BY salary DESC
/

James

select last_name, salary, job_id, nvl(to_char(manager_id),'No Manager') Manager#,
to_char(salary*12,'$999,999') "Total Income"
from employees
where (upper(job_id) like 'MK%' or manager_id IS NULL)
and salary * (1 + nvl(commission_pct, 0)) + 1000 > 10000
order by 2 desc;

FINAL

SELECT    last_name, salary, job_id,
          SUBSTR(NVL(TO_CHAR(manager_id), 'No Manager'), 1, 10) "Manager #",
          LPAD(TO_CHAR(salary * 12, '$999,999'), 12) "Total Income"
FROM      employees
WHERE     (UPPER(job_id) LIKE 'MK%' OR manager_id IS NULL)
AND       salary * (1 + NVL(commission_pct, 0)) + 1000 > 10000
ORDER BY  salary DESC;

4.

YuJin

SELECT   RPAD(CONCAT(CONCAT(first_name,' '),last_name), 25) "Employee", job_id,
         LPAD(TRIM(TO_CHAR(salary, '$999,999')), 12, '=') "Salary", department_name
FROM     employees e JOIN departments d
ON       (e.department_id = d.department_id)
WHERE    UPPER(department_name) IN ('MARKETING', 'SALES')
AND      salary <
                  (SELECT MAX(salary)
                   FROM   employees
                   WHERE  SUBSTR(job_id, 4) NOT IN ('PRES','VP','MAN','MGR'))
ORDER BY 1;

Saad

SELECT SUBSTR(first_name||' '||last_name, 25) Employee, job_id,
         LPAD(TO_CHAR(salary,'$99,999'), 12, '=') Salary, department_name
FROM employees e JOIN departments d
ON (d.department_id=e.department_id)
WHERE salary < (SELECT MAX(salary)
                     FROM employees
                     WHERE UPPER(SUBSTR(job_id,4)) NOT IN ('VP', 'PRES', 'MAN', 'MGR')
                     )
        AND UPPER(department_name) IN ('MARKETING','SALES')
ORDER BY first_name, last_name
/

James

select substr(first_name ||' '|| last_name) "Employee", job_id, to_char(salary, '$999,999', 12, '=') Salary, department_name
from employees e join departments d
on (e.department_id = d.department_id)
where upper(department_name) in ('MARKETING', 'SALES')
and salary < (select max(salary)
              from employees
              where substr(job_id,4) not in ('PRES','VP','MAN','MGR'))
order by "Employee";

FINAL

SELECT   SUBSTR(first_name ||' '|| last_name, 1, 25) "Employee", job_id,
         LPAD(TO_CHAR(salary, 'fm$999,999'), 12, '=') "Salary", department_name
FROM     employees e JOIN departments d
ON       (e.department_id = d.department_id)
WHERE    UPPER(department_name) IN ('MARKETING', 'SALES')
AND      salary <
                  (SELECT MAX(salary)
                   FROM   employees
                   WHERE  SUBSTR(UPPER(job_id), 4) NOT IN ('PRES','VP','MAN','MGR'))
ORDER BY 1;

5.

YuJin

SELECT last_name, salary, job_id
FROM   employees
WHERE  UPPER(job_id) NOT LIKE '%PRES'
AND    salary >
               (SELECT MAX(salary)
                FROM   employees
                JOIN   departments USING (department_id)
                JOIN   locations   USING (location_id)
                WHERE  UPPER(city) IN ('TORONTO','OXFORD'));

Saad

SELECT last_name, salary, job_id
FROM employees
WHERE salary > (SELECT MAX(salary)
                     FROM locations JOIN departments
                     USING (location_id)
                     JOIN employees
                     USING (department_id)
                     WHERE UPPER(city) IN ('TORONTO','OXFORD')
                     )
        AND UPPER(job_id) NOT LIKE '%PRES'
/

James

select last_name, salary, job_id
from employees
where salary > (select max(salary)
                       from employees join departments
                       using (department_id)
                       join locations
                       using (location_id)
                       where upper(city) in ('TORONTO','OXFORD'))
and upper(job_id) not like '%PRES'

FINAL

SELECT last_name, salary, job_id
FROM   employees
WHERE  UPPER(job_id) NOT LIKE '%PRES'
AND    salary >
               (SELECT MAX(salary)
                FROM   employees
                JOIN   departments USING (department_id)
                JOIN   locations   USING (location_id)
                WHERE  UPPER(city) IN ('TORONTO','OXFORD'));

6.

YuJin

SELECT last_name, first_name, job_id, hire_date
FROM   employees
WHERE  hire_date >
                   (SELECT MAX(hire_date)
                    FROM   employees
                    WHERE  department_id =
                                          (SELECT department_id
                                           FROM   departments
                                           WHERE  UPPER(department_name) = 'IT'))
AND (department_id !=
                   (SELECT department_id
                    FROM   departments
                    WHERE  UPPER(department_name) = 'EXECUTIVE')
OR  department_id IS NULL)
ORDER BY 4 DESC;

Saad

SELECT last_name, first_name, job_id, hire_date
FROM employees e
WHERE hire_date > (SELECT MAX(hire_date)
                         FROM employees
                         WHERE department_id = (SELECT department_id
                                                        FROM departments
                                                        WHERE UPPER(department_name) = 'IT'
                                                        )
                         )
        AND (department_id <> (SELECT department_id
                                     FROM departments
                                     WHERE UPPER(department_name) ='EXECUTIVE')
                OR department_id IS NULL)
ORDER BY hire_date DESC
/

James

select last_name, first_name, job_id, hire_date
from employees
where hire_date > (select max(hire_date)
                   from employees
                   where department_id = (select department_id
                                          from departments
                                          where upper(department_name) = 'IT'))
and (department_id != (select department_id
                      from departments
                      where upper(department_name) = 'EXECUTIVE')
or department_id IS NULL)
order by hire_date desc;

FINAL

SELECT last_name, first_name, job_id, hire_date
FROM   employees
WHERE  hire_date >
                   (SELECT MAX(hire_date)
                    FROM   employees
                    WHERE  department_id =
                                          (SELECT department_id
                                           FROM   departments
                                           WHERE  UPPER(department_name) = 'IT'))
AND (department_id !=
                   (SELECT department_id
                    FROM   departments
                    WHERE  UPPER(department_name) = 'EXECUTIVE')
OR  department_id IS NULL)
ORDER BY hire_date DESC;

7.

YuJin

SELECT department_id, job_id, AVG(salary) "Average Dept/Job Pay",
       MIN(salary) "Lowest Dept/Job Pay"
FROM   employees
WHERE  UPPER(job_id) NOT LIKE '%VP'
AND    department_id NOT IN
            (SELECT department_id
             FROM   departments
             WHERE  UPPER(department_name) IN ('IT','SALES'))
GROUP BY department_id, job_id
HAVING   MIN(salary) BETWEEN 5000 AND 15000
ORDER BY 1, 2;

Saad

SELECT department_id, job_id, AVG(salary) "Average Dept/Job Pay", MIN(salary) "Lowest Dept/Job Pay"
FROM employees
WHERE department_id <> ALL (SELECT department_id
                                FROM departments
                                WHERE UPPER(department_name) IN ('IT','SALES')
                                )
        AND job_id NOT LIKE '%VP'
GROUP BY department_id, job_id
HAVING MIN(salary) BETWEEN 5000 AND 15000
ORDER BY department_id, job_id
/

James

select department_id, job_id, avg(salary) "Average Dept/Job Pay", min(salary) "Lowest Dept/Job Pay"
from employees
where upper(job_id) not like '%VP'
and department_id != all(select department_id
                      from departments
                      where upper(department_name) in ('IT','SALES'))
group by department_id, job_id
having min(salary) between 5000 and 15000
order by department_id, job_id

FINAL

SELECT department_id, job_id, AVG(salary) "Average Dept/Job Pay",
       MIN(salary) "Lowest Dept/Job Pay"
FROM   employees
WHERE  UPPER(job_id) NOT LIKE '%VP'
AND    department_id != ALL
                      (SELECT department_id
                       FROM   departments
                       WHERE  UPPER(department_name) IN ('IT','SALES'))
GROUP BY department_id, job_id
HAVING   MIN(salary) BETWEEN 5000 AND 15000
ORDER BY department_id, job_id;

8.

YuJin

SELECT    department_id, department_name,
          RPAD(TRIM(NVL(city, 'Not Assinged Yet')), 25, ' ') "City",
          COUNT(DISTINCT job_id) "# of Jobs"
FROM      employees
RIGHT OUTER JOIN  departments USING (department_id)
LEFT  OUTER JOIN  locations   USING (location_id)
GROUP BY  department_id, department_name, city;

Saad

SELECT department_id, department_name, SUBSTR(NVL(city,'Not Assigned Yet'),1,25) City,
         COUNT(DISTINCT job_id) "# of Jobs"
FROM locations l RIGHT OUTER JOIN departments d
USING (location_id)
LEFT OUTER JOIN employees e
USING (department_id)
GROUP BY  department_id, department_name, city
/

James

select department_id, department_name, substr(nvl(city,'Not Assigned Yet'),1,25) City,
count(distinct job_id) "# of Jobs"
from employees right outer join departments
using (department_id)
left outer join locations
using (location_id)
group by department_id, department_name, city

FINAL

SELECT    department_id, department_name,
          SUBSTR(NVL(city, 'Not Assinged Yet'),1, 25) "City",
          COUNT(DISTINCT job_id) "# of Jobs"
FROM      employees
RIGHT OUTER JOIN  departments USING (department_id)
LEFT  OUTER JOIN  locations   USING (location_id)
GROUP BY  department_id, department_name, city;

Difference between revisions of "J.Y.S"

Revision as of 15:01, 27 November 2010

Contents

Member List

Assignment 3 (worth 9%)

Due Date

Solution

DDL Statements (CREATE TABLE)

Assignment 1

Due Date

Description

Solution

SQL Statements

1.

2.

3.

4.

5.

6.

7.

8.

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