teradata scripts.doc
TRANSCRIPT
TERADATA TABLE SCRIPTSCREATE TABLE REGIONSA ( REGION_ID INTEGER CONSTRAINT REG_ID_PK PRIMARY KEY NOT NULL, REGION_NAME VARCHAR(25) ); --SCRIPT Insert into REGIONS (REGION_ID, REGION_NAME) Values (1, 'Europe'); Insert into REGIONS (REGION_ID, REGION_NAME) Values (2, 'Americas'); Insert into REGIONS (REGION_ID, REGION_NAME) Values (3, 'Asia'); Insert into REGIONS (REGION_ID, REGION_NAME) Values (4, 'Middle East and Africa'); *****************************************************************************************
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CREATE TABLE COUNTRIES ( COUNTRY_ID CHAR(2) CONSTRAINT COUNTRY_C_ID_PK PRIMARY KEY NOT NULL, COUNTRY_NAME VARCHAR(40), REGION_ID INTEGER, CONSTRAINT COUNTR_REG_FK FOREIGN KEY (REGION_ID) REFERENCES REGIONS (REGION_ID) ); --SCRIPT Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('AR', 'Argentina', 2); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('AU', 'Australia', 3); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('BE', 'Belgium', 1); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('BR', 'Brazil', 2); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('CA', 'Canada', 2); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('CH', 'Switzerland', 1); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('CN', 'China', 3); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('DE', 'Germany', 1); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('DK', 'Denmark', 1); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('EG', 'Egypt', 4); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('FR', 'France', 1); REGION_ID)
REGION_ID)
REGION_ID)
REGION_ID)
REGION_ID)
REGION_ID)
REGION_ID)
REGION_ID)
REGION_ID)
REGION_ID)
REGION_ID)
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Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('HK', 'HongKong', 3); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('IL', 'Israel', 4); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('IN', 'India', 3); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, Values ('IT', 'Italy', 1);
REGION_ID)
REGION_ID)
REGION_ID)
REGION_ID)
Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, REGION_ID) Values ('JP', 'Japan', 3); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, REGION_ID) Values ('KW', 'Kuwait', 4); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, REGION_ID) Values ('MX', 'Mexico', 2); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, REGION_ID) Values ('NG', 'Nigeria', 4); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, REGION_ID) Values ('NL', 'Netherlands', 1); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, REGION_ID) Values ('SG', 'Singapore', 3); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, REGION_ID) Values ('UK', 'United Kingdom', 1); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, REGION_ID) Values ('US', 'United States of America', 2);
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Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, REGION_ID) Values ('ZM', 'Zambia', 4); Insert into COUNTRIES (COUNTRY_ID, COUNTRY_NAME, REGION_ID) Values ('ZW', 'Zimbabwe', 4); *************************************************************************************
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CREATE TABLE LOCATIONS ( LOCATION_ID INTEGER CONSTRAINT LOC_ID_PK PRIMARY KEY NOT NULL , STREET_ADDRESS VARCHAR(40), POSTAL_CODE VARCHAR(12), CITY VARCHAR(30) NOT NULL, STATE_PROVINCE VARCHAR(25), COUNTRY_ID CHAR(2), CONSTRAINT LOC_C_ID_FK FOREIGN KEY (COUNTRY_ID) REFERENCES COUNTRIES (COUNTRY_ID) ); --SCRIPT Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (1000, '1297 Via Cola di Rie', '00989', 'Roma', NULL, 'IT'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (1100, '93091 Calle della Testa', '10934', 'Venice', NULL, 'IT'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (1200, '2017 Shinjuku-ku', '1689', 'Tokyo', 'Tokyo Prefecture', 'JP'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (1300, '9450 Kamiya-cho', '6823', 'Hiroshima', NULL, 'JP'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (1400, '2014 Jabberwocky Rd', '26192', 'Southlake', 'Texas', 'US'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (1500, '2011 Interiors Blvd', '99236', 'South San Francisco', 'California', 'US');
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Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (1600, '2007 Zagora St', '50090', 'South Brunswick', 'New Jersey', 'US'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (1700, '2004 Charade Rd', '98199', 'Seattle', 'Washington', 'US'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (1800, '147 Spadina Ave', 'M5V 2L7', 'Toronto', 'Ontario', 'CA'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (1900, '6092 Boxwood St', 'YSW 9T2', 'Whitehorse', 'Yukon', 'CA'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (2000, '40-5-12 Laogianggen', '190518', 'Beijing', NULL, 'CN'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (2100, '1298 Vileparle (E)', '490231', 'Bombay', 'Maharashtra', 'IN'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (2200, '12-98 Victoria Street', '2901', 'Sydney', 'New South Wales', 'AU'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (2300, '198 Clementi North', '540198', 'Singapore', NULL, 'SG'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (2400, '8204 Arthur St', NULL, 'London', NULL, 'UK');
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Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (2500, 'Magdalen Centre, The Oxford Science Park', 'OX9 9ZB', 'Oxford', 'Oxford', 'UK'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (2600, '9702 Chester Road', '09629850293', 'Stretford', 'Manchester', 'UK'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (2700, 'Schwanthalerstr. 7031', '80925', 'Munich', 'Bavaria', 'DE'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (2800, 'Rua Frei Caneca 1360 ', '01307-002', 'Sao Paulo', 'Sao Paulo', 'BR'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (2900, '20 Rue des Corps-Saints', '1730', 'Geneva', 'Geneve', 'CH'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (3000, 'Murtenstrasse 921', '3095', 'Bern', 'BE', 'CH'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (3100, 'Pieter Breughelstraat 837', '3029SK', 'Utrecht', 'Utrecht', 'NL'); Insert into LOCATIONS (LOCATION_ID, STREET_ADDRESS, POSTAL_CODE, CITY, STATE_PROVINCE, COUNTRY_ID) Values (3200, 'Mariano Escobedo 9991', '11932', 'Mexico City', 'Distrito Federal,', 'MX'); ***************************************************************************
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CREATE SET TABLE JOBS ( JOB_ID VARCHAR(10) PRIMARY KEY NOT NULL, JOB_TITLE VARCHAR(35) NOT NULL, MIN_SALARY INTEGER, MAX_SALARY INTEGER ); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('AD_PRES', 'President', 20000, 40000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('AD_VP', 'Administration Vice President', 15000, 30000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('AD_ASST', 'Administration Assistant', 3000, 6000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('FI_MGR', 'Finance Manager', 8200, 16000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('FI_ACCOUNT', 'Accountant', 4200, 9000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('AC_MGR', 'Accounting Manager', 8200, 16000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('AC_ACCOUNT', 'Public Accountant', 4200, 9000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('SA_MAN', 'Sales Manager', 10000, 20000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('SA_REP', 'Sales Representative', 6000, 12000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('PU_MAN', 'Purchasing Manager', 8000, 15000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('PU_CLERK', 'Purchasing Clerk', 2500, 5500);
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Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('ST_MAN', 'Stock Manager', 5500, 8500); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('ST_CLERK', 'Stock Clerk', 2000, 5000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('SH_CLERK', 'Shipping Clerk', 2500, 5500); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('IT_PROG', 'Programmer', 4000, 10000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('MK_MAN', 'Marketing Manager', 9000, 15000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('MK_REP', 'Marketing Representative', 4000, 9000);
Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('HR_REP', 'Human Resources Representative', 4000, 9000); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('PR_REP', 'Public Relations Representative', 4500, 10500); Insert into JOBS (JOB_ID, JOB_TITLE, MIN_SALARY, MAX_SALARY) Values ('rara', 'jtitle', 5000, 3000); *************************
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CREATE TABLE DEPARTMENTS ( DEPARTMENT_ID INTEGER CONSTRAINT DEPT_ID_PK PRIMARY KEY NOT NULL, DEPARTMENT_NAME VARCHAR(30) NOT NULL, MANAGER_ID INTEGER, LOCATION_ID INTEGER, CONSTRAINT DEPT_LOC_FK FOREIGN KEY (LOCATION_ID) REFERENCES LOCATIONS (LOCATION_ID) ); NOTE : AFTER CREATING THE TABLE EMPLOYEES ADD THE BELOW CONTRAINT ALTER TABLE DEPARTMENTS ADD CONSTRAINT DEPT_MGR_FK FOREIGN KEY (MANAGER_ID) REFERENCES EMPLOYEES (EMPLOYEE_ID)
Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (10, 'Administration', 200, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (20, 'Marketing', 201, 1800); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (30, 'Purchasing', 114, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (40, 'Human Resources', 203, 2400); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (50, 'Shipping', 121, 1500); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (60, 'IT', 103, 1400); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (70, 'Public Relations', 204, 2700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (80, 'Sales', 145, 2500);
MANAGER_ID, LOCATION_ID)
MANAGER_ID, LOCATION_ID)
MANAGER_ID, LOCATION_ID)
MANAGER_ID, LOCATION_ID)
MANAGER_ID, LOCATION_ID)
MANAGER_ID, LOCATION_ID)
MANAGER_ID, LOCATION_ID)
MANAGER_ID, LOCATION_ID)
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Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, Values (90, 'Executive', 100, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, Values (100, 'Finance', 108, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, Values (110, 'Accounting', 205, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, Values (120, 'Treasury', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, Values (130, 'Corporate Tax', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, Values (140, 'Control And Credit', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, Values (150, 'Shareholder Services', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, Values (160, 'Benefits', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, Values (170, 'Manufacturing', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, Values (180, 'Construction', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, Values (190, 'Contracting', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, Values (200, 'Operations', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, MANAGER_ID, Values (210, 'IT Support', NULL, 1700);
LOCATION_ID)
LOCATION_ID)
LOCATION_ID)
LOCATION_ID)
LOCATION_ID)
LOCATION_ID)
LOCATION_ID)
LOCATION_ID)
LOCATION_ID)
LOCATION_ID)
LOCATION_ID)
LOCATION_ID)
LOCATION_ID)
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Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (220, 'NOC', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (230, 'IT Helpdesk', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (240, 'Government Sales', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (250, 'Retail Sales', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (260, 'Recruiting', NULL, 1700); Insert into DEPARTMENTS (DEPARTMENT_ID, DEPARTMENT_NAME, Values (270, 'Payroll', NULL, 1700);
MANAGER_ID, LOCATION_ID)
MANAGER_ID, LOCATION_ID)
MANAGER_ID, LOCATION_ID)
MANAGER_ID, LOCATION_ID)
MANAGER_ID, LOCATION_ID)
MANAGER_ID, LOCATION_ID)
******************************************************************************
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CREATE TABLE EMPLOYEES ( EMPLOYEE_ID INTEGER CONSTRAINT EMP_EMP_ID_PK PRIMARY KEY NOT NULL, FIRST_NAME VARCHAR(20), LAST_NAME VARCHAR(25) NOT NULL, EMAIL VARCHAR(25) NOT NULL, PHONE_NUMBER VARCHAR(20), HIRE_DATE DATE NOT NULL, JOB_ID VARCHAR(10) NOT NULL, SALARY INTEGER CONSTRAINT EMP_SALARY_MIN CHECK (salary > 0), COMMISSION_PCT INTEGER, MANAGER_ID INTEGER, DEPARTMENT_ID INTEGER, CONSTRAINT EMP_JOB_FK FOREIGN KEY (JOB_ID) REFERENCES JOBS (JOB_ID), CONSTRAINT EMP_MANAGER_FK FOREIGN KEY (MANAGER_ID) REFERENCES EMPLOYEES (EMPLOYEE_ID), CONSTRAINT EMP_DEPT_FK FOREIGN KEY (DEPARTMENT_ID) REFERENCES DEPARTMENTS (DEPARTMENT_ID) ); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (100, 'Steven', 'King', 'SKING', '515.123.4567', DATE '1987-06-17', 'AD_PRES', 24000, NULL, NULL, 90); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (101, 'Neena', 'Kochhar', 'NKOCHHAR', '515.123.4568', DATE '1989-09-21', 'AD_VP', 17000, NULL, 100, 90); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (102, 'Lex', 'De Haan', 'LDEHAAN', '515.123.4569', DATE '1993-01-13', 'AD_VP', 17000, NULL, 100, 90); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (103, 'Alexander', 'Hunold', 'AHUNOLD', '590.423.4567', DATE '1990-03-01', 'IT_PROG', 9000, NULL, 102, 60);
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Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (104, 'Bruce', 'Ernst', 'BERNST', '590.423.4568', DATE '1991-05-21', 'IT_PROG', 6000, NULL, 103, 60); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (105, 'David', 'Austin', 'DAUSTIN', '590.423.4569', DATE '1997-06-25', 'IT_PROG', 4800, NULL, 103, 60); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (106, 'Valli', 'Pataballa', 'VPATABAL', '590.423.4560', DATE '1998-02-05', 'IT_PROG', 4800, NULL, 103, 60); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (107, 'Diana', 'Lorentz', 'DLORENTZ', '590.423.5567', DATE '1999-02-07', 'IT_PROG', 4200, NULL, 103, 60); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (108, 'Nancy', 'Greenberg', 'NGREENBE', '515.124.4569', DATE '1994-08-17', 'FI_MGR', 12000, NULL, 101, 100); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (109, 'Daniel', 'Faviet', 'DFAVIET', '515.124.4169', DATE '1994-08-16', 'FI_ACCOUNT', 9000, NULL, 108, 100); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (110, 'John', 'Chen', 'JCHEN', '515.124.4269', DATE '1997-09-28', 'FI_ACCOUNT', 8200, NULL, 108, 100);
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Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (111, 'Ismael', 'Sciarra', 'ISCIARRA', '515.124.4369', DATE '1997-09-30', 'FI_ACCOUNT', 7700, NULL, 108, 100); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (112, 'Jose Manuel', 'Urman', 'JMURMAN', '515.124.4469', DATE '1998-03-07', 'FI_ACCOUNT', 7800, NULL, 108, 100); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (113, 'Luis', 'Popp', 'LPOPP', '515.124.4567', DATE '1999-12-07', 'FI_ACCOUNT', 6900, NULL, 108, 100); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (114, 'Den', 'Raphaely', 'DRAPHEAL', '515.127.4561', DATE '1994-12-07', 'PU_MAN', 11000, NULL, 100, 30); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (115, 'Alexander', 'Khoo', 'AKHOO', '515.127.4562', DATE '1995-05-18', 'PU_CLERK', 3100, NULL, 114, 30); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (116, 'Shelli', 'Baida', 'SBAIDA', '515.127.4563', DATE '1997-12-24', 'PU_CLERK', 2900, NULL, 114, 30);
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Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (117, 'Sigal', 'Tobias', 'STOBIAS', '515.127.4564', DATE '1997-07-24', 'PU_CLERK', 2800, NULL, 114, 30); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (118, 'Guy', 'Himuro', 'GHIMURO', '515.127.4565', DATE '1998-11-15', 'PU_CLERK', 2600, NULL, 114, 30); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (119, 'Karen', 'Colmenares', 'KCOLMENA', '515.127.4566', DATE'1999-08-10', 'PU_CLERK', 2500, NULL, 114, 30); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (120, 'Matthew', 'Weiss', 'MWEISS', '650.123.1234', DATE '1996-07-18', 'ST_MAN', 8000, NULL, 100, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (121, 'Adam', 'Fripp', 'AFRIPP', '650.123.2234', DATE '1997-04-10', 'ST_MAN', 8200, NULL, 100, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (122, 'Payam', 'Kaufling', 'PKAUFLIN', '650.123.3234', DATE '1995-05-01', 'ST_MAN', 7900, NULL, 100, 50);
16
Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (123, 'Shanta', 'Vollman', 'SVOLLMAN', '650.123.4234', DATE '1997-10-10', 'ST_MAN', 6500, NULL, 100, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (124, 'Kevin', 'Mourgos', 'KMOURGOS', '650.123.5234', DATE '1999-11-16', 'ST_MAN', 5800, NULL, 100, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (125, 'Julia', 'Nayer', 'JNAYER', '650.124.1214', DATE '1997-07-16', 'ST_CLERK', 3200, NULL, 120, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (126, 'Irene', 'Mikkilineni', 'IMIKKILI', '650.124.1224', DATE '1998-09-28', 'ST_CLERK', 2700, NULL, 120, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (127, 'James', 'Landry', 'JLANDRY', '650.124.1334', DATE '1999-01-14', 'ST_CLERK', 2400, NULL, 120, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (128, 'Steven', 'Markle', 'SMARKLE', '650.124.1434', DATE '2000-03-08', 'ST_CLERK', 2200, NULL, 120, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID)
17
Values (129, 'Laura', 'Bissot', 'LBISSOT', '650.124.5234', DATE '1997-08-20', 'ST_CLERK', 3300, NULL, 121, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (130, 'Mozhe', 'Atkinson', 'MATKINSO', '650.124.6234', DATE '1997-10-30', 'ST_CLERK', 2800, NULL, 121, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (131, 'James', 'Marlow', 'JAMRLOW', '650.124.7234', DATE '1997-02-16', 'ST_CLERK', 2500, NULL, 121, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (132, 'TJ', 'Olson', 'TJOLSON', '650.124.8234', DATE '1999-04-10', 'ST_CLERK', 2100, NULL, 121, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (133, 'Jason', 'Mallin', 'JMALLIN', '650.127.1934', DATE '1996-06-14', 'ST_CLERK', 3300, NULL, 122, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (134, 'Michael', 'Rogers', 'MROGERS', '650.127.1834', DATE '1998-08-26', 'ST_CLERK', 2900, NULL, 122, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (135, 'Ki', 'Gee', 'KGEE', '650.127.1734', DATE '1999-12-12', 'ST_CLERK', 2400, NULL, 122, 50);
18
Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (136, 'Hazel', 'Philtanker', 'HPHILTAN', '650.127.1634', DATE '2000-02-06', 'ST_CLERK', 2200, NULL, 122, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (137, 'Renske', 'Ladwig', 'RLADWIG', '650.121.1234', DATE '1995-07-14', 'ST_CLERK', 3600, NULL, 123, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (138, 'Stephen', 'Stiles', 'SSTILES', '650.121.2034', DATE '1997-10-26', 'ST_CLERK', 3200, NULL, 123, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (139, 'John', 'Seo', 'JSEO', '650.121.2019', DATE '1998-02-12', 'ST_CLERK', 2700, NULL, 123, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (140, 'Joshua', 'Patel', 'JPATEL', '650.121.1834', DATE '1998-04-16', 'ST_CLERK', 2500, NULL, 123, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (141, 'Trenna', 'Rajs', 'TRAJS', '650.121.8009', DATE '1995-10-17', 'ST_CLERK', 3500, NULL, 124, 50);
19
Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (142, 'Curtis', 'Davies', 'CDAVIES', '650.121.2994', DATE '1997-01-29', 'ST_CLERK', 3100, NULL, 124, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (143, 'Randall', 'Matos', 'RMATOS', '650.121.2874', DATE '1998-03-15', 'ST_CLERK', 2600, NULL, 124, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (144, 'Peter', 'Vargas', 'PVARGAS', '650.121.2004', DATE '1998-07-09', 'ST_CLERK', 2500, NULL, 124, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (145, 'John', 'Russell', 'JRUSSEL', '011.44.1344.429268', DATE '1996-10-01', 'SA_MAN', 14000, 0.4, 100, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (146, 'Karen', 'Partners', 'KPARTNER', '011.44.1344.467268', DATE '1997-01-05', 'SA_MAN', 13500, 0.3, 100, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (147, 'Alberto', 'Errazuriz', 'AERRAZUR', '011.44.1344.429278', DATE '1997-03-10', 'SA_MAN', 12000, 0.3, 100, 80);
20
Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (148, 'Gerald', 'Cambrault', 'GCAMBRAU', '011.44.1344.619268', DATE '1999-10-15', 'SA_MAN', 11000, 0.3, 100, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (149, 'Eleni', 'Zlotkey', 'EZLOTKEY', '011.44.1344.429018', DATE '2000-01-29', 'SA_MAN', 10500, 0.2, 100, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (150, 'Peter', 'Tucker', 'PTUCKER', '011.44.1344.129268', DATE '1997-01-30', 'SA_REP', 10000, 0.3, 145, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (151, 'David', 'Bernstein', 'DBERNSTE', '011.44.1344.345268', DATE '1997-03-24', 'SA_REP', 9500, 0.25, 145, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (152, 'Peter', 'Hall', 'PHALL', '011.44.1344.478968', DATE '1997-08-20', 'SA_REP', 9000, 0.25, 145, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (153, 'Christopher', 'Olsen', 'COLSEN', '011.44.1344.498718', DATE '1998-03-30', 'SA_REP', 8000, 0.2, 145, 80);
21
Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (154, 'Nanette', 'Cambrault', 'NCAMBRAU', '011.44.1344.987668', DATE '1998-12-09', 'SA_REP', 7500, 0.2, 145, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (155, 'Oliver', 'Tuvault', 'OTUVAULT', '011.44.1344.486508', DATE '1999-11-13', 'SA_REP', 7000, 0.15, 145, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (156, 'Janette', 'King', 'JKING', '011.44.1345.429268', DATE '1996-01-30', 'SA_REP', 10000, 0.35, 146, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (157, 'Patrick', 'Sully', 'PSULLY', '011.44.1345.929268', DATE '1996-03-04', 'SA_REP', 9500, 0.35, 146, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (158, 'Allan', 'McEwen', 'AMCEWEN', '011.44.1345.829268', DATE '1996-08-01', 'SA_REP', 9000, 0.35, 146, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (159, 'Lindsey', 'Smith', 'LSMITH', '011.44.1345.729268', DATE '1997-03-10', 'SA_REP', 8000, 0.3, 146, 80);
22
Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (160, 'Louise', 'Doran', 'LDORAN', '011.44.1345.629268', DATE '1997-12-15', 'SA_REP', 7500, 0.3, 146, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (161, 'Sarath', 'Sewall', 'SSEWALL', '011.44.1345.529268', DATE '1998-11-03', 'SA_REP', 7000, 0.25, 146, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (162, 'Clara', 'Vishney', 'CVISHNEY', '011.44.1346.129268', DATE '1997-11-11', 'SA_REP', 10500, 0.25, 147, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (163, 'Danielle', 'Greene', 'DGREENE', '011.44.1346.229268', DATE '1999-03-19', 'SA_REP', 9500, 0.15, 147, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (164, 'Mattea', 'Marvins', 'MMARVINS', '011.44.1346.329268', DATE '2000-01-24', 'SA_REP', 7200, 0.1, 147, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (165, 'David', 'Lee', 'DLEE', '011.44.1346.529268', DATE '2000-02-23', 'SA_REP', 6800, 0.1, 147, 80);
23
Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (166, 'Sundar', 'Ande', 'SANDE', '011.44.1346.629268', DATE '2000-03-24', 'SA_REP', 6400, 0.1, 147, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (167, 'Amit', 'Banda', 'ABANDA', '011.44.1346.729268', DATE '2000-04-21', 'SA_REP', 6200, 0.1, 147, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (168, 'Lisa', 'Ozer', 'LOZER', '011.44.1343.929268', DATE '1997-03-11', 'SA_REP', 11500, 0.25, 148, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (169, 'Harrison', 'Bloom', 'HBLOOM', '011.44.1343.829268', DATE '1998-03-23', 'SA_REP', 10000, 0.2, 148, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (170, 'Tayler', 'Fox', 'TFOX', '011.44.1343.729268', DATE '1998-01-24', 'SA_REP', 9600, 0.2, 148, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (171, 'William', 'Smith', 'WSMITH', '011.44.1343.629268', DATE '1999-02-23', 'SA_REP', 7400, 0.15, 148, 80);
24
Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (172, 'Elizabeth', 'Bates', 'EBATES', '011.44.1343.529268', DATE '1999-03-24', 'SA_REP', 7300, 0.15, 148, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (173, 'Sundita', 'Kumar', 'SKUMAR', '011.44.1343.329268', DATE '2000-01-24', 'SA_REP', 6100, 0.1, 148, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (174, 'Ellen', 'Abel', 'EABEL', '011.44.1644.429267', DATE '1996-05-11', 'SA_REP', 11000, 0.3, 149, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (175, 'Alyssa', 'Hutton', 'AHUTTON', '011.44.1644.429266', DATE '1997-03-19', 'SA_REP', 8800, 0.25, 149, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (176, 'Jonathon', 'Taylor', 'JTAYLOR', '011.44.1644.429265', DATE '1998-03-24', 'SA_REP', 8600, 0.2, 149, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (177, 'Jack', 'Livingston', 'JLIVINGS', '011.44.1644.429264', DATE '1998-04-23', 'SA_REP', 8400, 0.2, 149, 80);
25
Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (178, 'Kimberely', 'Grant', 'KGRANT', '011.44.1644.429263', DATE '1999-05-24', 'SA_REP', 7000, 0.15, 149, NULL); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (179, 'Charles', 'Johnson', 'CJOHNSON', '011.44.1644.429262', DATE '2000-01-04', 'SA_REP', 6200, 0.1, 149, 80); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (180, 'Winston', 'Taylor', 'WTAYLOR', '650.507.9876', DATE '1998-01-24', 'SH_CLERK', 3200, NULL, 120, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (181, 'Jean', 'Fleaur', 'JFLEAUR', '650.507.9877', DATE '1998-02-23', 'SH_CLERK', 3100, NULL, 120, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (182, 'Martha', 'Sullivan', 'MSULLIVA', '650.507.9878', DATE '1999-06-21', 'SH_CLERK', 2500, NULL, 120, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (183, 'Girard', 'Geoni', 'GGEONI', '650.507.9879', DATE '2000-02-03', 'SH_CLERK', 2800, NULL, 120, 50);
26
Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (184, 'Nandita', 'Sarchand', 'NSARCHAN', '650.509.1876', DATE '1996-01-27', 'SH_CLERK', 4200, NULL, 121, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (185, 'Alexis', 'Bull', 'ABULL', '650.509.2876', DATE '1997-02-20', 'SH_CLERK', 4100, NULL, 121, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (186, 'Julia', 'Dellinger', 'JDELLING', '650.509.3876', DATE '1997-06-24', 'SH_CLERK', 3400, NULL, 121, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (187, 'Anthony', 'Cabrio', 'ACABRIO', '650.509.4876', DATE '1997-02-07', 'SH_CLERK', 3000, NULL, 121, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (188, 'Kelly', 'Chung', 'KCHUNG', '650.505.1876', DATE '1997-06-14', 'SH_CLERK', 3800, NULL, 122, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (189, 'Jennifer', 'Dilly', 'JDILLY', '650.505.2876', DATE '1997-08-13', 'SH_CLERK', 3600, NULL, 122, 50);
27
Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (190, 'Timothy', 'Gates', 'TGATES', '650.505.3876', DATE '1997-07-11', 'SH_CLERK', 2900, NULL, 122, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (191, 'Randall', 'Perkins', 'RPERKINS', '650.505.4876', DATE '1997-12-19', 'SH_CLERK', 2500, NULL, 122, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (192, 'Sarah', 'Bell', 'SBELL', '650.501.1876', DATE '1997-02-04', 'SH_CLERK', 4000, NULL, 123, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (193, 'Britney', 'Everett', 'BEVERETT', '650.501.2876', DATE '1997-03-03', 'SH_CLERK', 3900, NULL, 123, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (194, 'Samuel', 'McCain', 'SMCCAIN', '650.501.3876', DATE '1997-07-01', 'SH_CLERK', 3200, NULL, 123, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (195, 'Vance', 'Jones', 'VJONES', '650.501.4876', DATE '1997-03-17', 'SH_CLERK', 2800, NULL, 123, 50);
28
Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (196, 'Alana', 'Walsh', 'AWALSH', '650.507.9811', DATE '1997-03-25', 'SH_CLERK', 3100, NULL, 124, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (197, 'Kevin', 'Feeney', 'KFEENEY', '650.507.9822', DATE '1997-05-23', 'SH_CLERK', 3000, NULL, 124, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (198, 'Donald', 'OConnell', 'DOCONNEL', '650.507.9833', DATE '1999-06-21', 'SH_CLERK', 2600, NULL, 124, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (199, 'Douglas', 'Grant', 'DGRANT', '650.507.9844', DATE '2000-01-03', 'SH_CLERK', 2600, NULL, 124, 50); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (200, 'Jennifer', 'Whalen', 'JWHALEN', '515.123.4444', DATE '1987-09-17', 'AD_ASST', 4400, NULL, 101, 10); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (201, 'Michael', 'Hartstein', 'MHARTSTE', '515.123.5555', DATE '1996-02-17', 'MK_MAN', 13000, NULL, 100, 20);
29
Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (202, 'Pat', 'Fay', 'PFAY', '603.123.6666', DATE '1997-08-17', 'MK_REP', 6000, NULL, 201, 20); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (203, 'Susan', 'Mavris', 'SMAVRIS', '515.123.7777', DATE '1994-06-07', 'HR_REP', 6500, NULL, 101, 40); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (204, 'Hermann', 'Baer', 'HBAER', '515.123.8888', DATE '1994-06-07', 'PR_REP', 10000, NULL, 101, 70); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (205, 'Shelley', 'Higgins', 'SHIGGINS', '515.123.8080', DATE '1994-06-07', 'AC_MGR', 12000, NULL, 101, 110); Insert into EMPLOYEES (EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, DEPARTMENT_ID) Values (206, 'William', 'Gietz', 'WGIETZ', '515.123.8181', DATE '1994-06-07', 'AC_ACCOUNT', 8300, NULL, 205, 110); ********************************************************************************** NOTE : AFTER CREATING THE TABLE EMPLOYEES ADD THE BELOW CONTRAINT ALTER TABLE DEPARTMENTS ADD CONSTRAINT DEPT_MGR_FK FOREIGN KEY (MANAGER_ID) REFERENCES EMPLOYEES (EMPLOYEE_ID)
30
CREATE TABLE JOB_HISTORY ( EMPLOYEE_ID INTEGER CONSTRAINT JHIST_EMPLOYEE_PK PRIMARY KEY NOT NULL, START_DATE DATE CONSTRAINT JHIST_START_DATE_NN UNIQUE NOT NULL, END_DATE DATE, JOB_ID VARCHAR(10), DEPARTMENT_ID INTEGER, CONSTRAINT JHIST_DATE_INTERVAL CHECK (END_DATE > START_DATE), CONSTRAINT JHIST_EMP_FK FOREIGN KEY (EMPLOYEE_ID) REFERENCES EMPLOYEES (EMPLOYEE_ID), CONSTRAINT JHIST_DEPT_FK FOREIGN KEY (DEPARTMENT_ID) REFERENCES DEPARTMENTS (DEPARTMENT_ID), CONSTRAINT JHIST_JOB_FK FOREIGN KEY (JOB_ID) REFERENCES JOBS (JOB_ID) ); Insert into JOB_HISTORY (EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID) Values (101, DATE '1989-09-21', DATE '1993-10-27', 'AC_ACCOUNT', 110); Insert into JOB_HISTORY (EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID) Values (102, DATE '1993-01-13', DATE '1998-07-24', 'IT_PROG', 60); Insert into JOB_HISTORY (EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID) Values (201, DATE '1996-02-17', DATE '1999-12-19', 'MK_REP', 20); Insert into JOB_HISTORY (EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID) Values (114, DATE '1990-03-24', DATE '1991-12-31', 'ST_CLERK', 50); Insert into JOB_HISTORY (EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID) Values (122, DATE '1999-01-01', DATE '1999-12-31', 'ST_CLERK', 50); Insert into JOB_HISTORY (EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID) Values (200, DATE '1987-07-17', DATE '1993-06-17', 'AD_ASST', 90); Insert into JOB_HISTORY (EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID) Values (176, DATE '1998-03-24', DATE '1998-12-31', 'SA_REP', 80); Insert into JOB_HISTORY (EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID) Values (133, DATE '1990-01-01', DATE '1999-12-31', 'SA_MAN', 80); Insert into JOB_HISTORY (EMPLOYEE_ID, START_DATE, END_DATE, JOB_ID, DEPARTMENT_ID) Values (158, DATE '1994-07-01', DATE '1998-12-31', 'AC_ACCOUNT', 90); **************************************************************************************
31
CREATE TABLE DEPT ( DEPTNO INTEGER PRIMARY KEY NOT NULL, DNAME VARCHAR(14), LOC VARCHAR(13) ); Insert into DEPT (DEPTNO, DNAME, LOC) Values (20, 'RESEARCH', 'DALLAS'); Insert into DEPT (DEPTNO, DNAME, LOC) Values (30, 'SALES', 'CHICAGO'); Insert into DEPT (DEPTNO, DNAME, LOC) Values (40, 'OPERATIONS', 'BOSTON'); Insert into DEPT (DEPTNO, DNAME, LOC) Values (10, 'ACCOUNTING', 'NEW YORK');
*************************************************************************************
32
CREATE TABLE EMP ( EMPNO INTEGER PRIMARY KEY NOT NULL, ENAME VARCHAR(10), JOB VARCHAR(9), MGR INTEGER, HIREDATE DATE, SAL INTEGER, COMM INTEGER, DEPTNO INTEGER, CONSTRAINT DEPT_FK FOREIGN KEY(DEPTNO) REFERENCES DEPT(DEPTNO) ); Insert into EMP (EMPNO, ENAME, JOB, MGR, HIREDATE, SAL, COMM, DEPTNO) Values (7369, 'SMITH', 'CLERK', 7902, DATE '1980-12-17', 800, NULL, 10); Insert into EMP (EMPNO, ENAME, JOB, MGR, HIREDATE, SAL, COMM, DEPTNO) Values (7499, 'ALLEN', 'SALESMAN', 7698, DATE '1981-02-20', 2200, 300, 30); Insert into EMP (EMPNO, ENAME, JOB, MGR, HIREDATE, SAL, COMM, DEPTNO) Values (7521, 'WARD', 'SALESMAN', 7698, DATE '1981-02-20', 1250, 500, 30); Insert into EMP (EMPNO, ENAME, JOB, MGR, HIREDATE, SAL, COMM, DEPTNO) Values (7566, 'JONES', 'MANAGER', 7839, DATE '1981-02-04', 2975, NULL, 20); Insert into EMP (EMPNO, ENAME, JOB, MGR, HIREDATE, SAL, COMM, DEPTNO) Values (7654, 'MARTIN', 'SALESMAN', 7698, DATE '1981-09-28', 1250, 1400, 30); Insert into EMP (EMPNO, ENAME, JOB, MGR, HIREDATE, SAL, COMM, DEPTNO) Values (7698, 'BLAKE', 'MANAGER', 7839, DATE '1981-05-01', 2850, NULL, 30);
33
Insert into EMP (EMPNO, ENAME, JOB, MGR, HIREDATE, SAL, COMM, DEPTNO) Values (7788, 'SCOTT', 'ANALYST', 7566, DATE '1987-04-19', 9200, 3200, 20); Insert into EMP (EMPNO, ENAME, JOB, MGR, HIREDATE, SAL, COMM, DEPTNO) Values (7844, 'TURNER', 'SALESMAN', 7369, DATE '1981-09-08', 1500, 0, 30); Insert into EMP (EMPNO, ENAME, JOB, MGR, HIREDATE, SAL, COMM, DEPTNO) Values (7876, 'ADAMS', 'CLERK', 7788, DATE '1987-05-23', 1100, NULL, 20); Insert into EMP (EMPNO, ENAME, JOB, MGR, HIREDATE, SAL, COMM, DEPTNO) Values (7900, 'JAMES', 'CLERK', 7698, DATE '1981-12-03', 950, NULL, 30); Insert into EMP (EMPNO, ENAME, JOB, MGR, HIREDATE, SAL, COMM, DEPTNO) Values (7902, 'FORD', 'ANALYST', 7698, DATE '1981-12-03', 3000, NULL, 20); Insert into EMP (EMPNO, ENAME, JOB, MGR, HIREDATE, SAL, COMM, DEPTNO) Values(7934, 'Miller', 'Clerk', 7782, Date '1982-01-23', 1300, Null, 10); ***********************************************************************************
34
CREATE TABLE SALGRADE ( GRADE INTEGER, LOSAL INTEGER, HISAL INTEGER ); INSERT INTO SALGRADE VALUES (1, 700, 1200); INSERT INTO SALGRADE VALUES (2, 1201, 1400); INSERT INTO SALGRADE VALUES (3, 1401, 2000); INSERT INTO SALGRADE VALUES (4, 2001, 3000); INSERT INTO SALGRADE VALUES (5, 3001, 9999); ******************************************************************************************* CREATE SET TABLE SAMPLES.STUDMARKS ( STUD_ID INTEGER, MARKS INTEGER) UNIQUE PRIMARY INDEX ( STUD_ID ); INSERT INTO SAMPLES.STUDMARKS VALUES(10, 50); INSERT INTO SAMPLES.STUDMARKS VALUES(20, 70); INSERT INTO SAMPLES.STUDMARKS VALUES(30, 80); INSERT INTO SAMPLES.STUDMARKS VALUES(40, 50); INSERT INTO SAMPLES.STUDMARKS VALUES(50, 60); INSERT INTO SAMPLES.STUDMARKS VALUES(60, 80); INSERT INTO SAMPLES.STUDMARKS VALUES(70, 80); INSERT INTO SAMPLES.STUDMARKS VALUES(70, 75); INSERT INTO SAMPLES.STUDMARKS VALUES(80, 85); *******************************************************************************************
35
CREATE SET TABLE SAMPLES.STUDFINMARKS ( STUD_ID INTEGER, MARKS INTEGER) UNIQUE PRIMARY INDEX ( STUD_ID ); INSERT INTO SAMPLES.STUDFINMARKS VALUES(10, 40); INSERT INTO SAMPLES.STUDFINMARKS VALUES(20, 80); INSERT INTO SAMPLES.STUDFINMARKS VALUES(30, 70); INSERT INTO SAMPLES.STUDFINMARKS VALUES(40, 60); INSERT INTO SAMPLES.STUDFINMARKS VALUES(50, 50); INSERT INTO SAMPLES.STUDFINMARKS VALUES(60, 90); INSERT INTO SAMPLES.STUDFINMARKS VALUES(70, 75); INSERT INTO SAMPLES.STUDFINMARKS VALUES(80, 85);
*******************************************************************************************
36
CREATE TABLE CUSTOMERS ( CUSTOMER_ID INT CONSTRAINT PK_CUST_ID PRIMARY KEY NOT NULL, CUST_FIRST_NAME VARCHAR(20 ) NOT NULL, CUST_LAST_NAME VARCHAR(20) NOT NULL, CUST_ADDRESS VARCHAR(100), PHONE_NUMBERS VARCHAR(100), NLS_LANGUAGE VARCHAR(3), NLS_TERRITORY VARCHAR(30), CREDIT_LIMIT INT, CUST_EMAIL VARCHAR(30), ACCOUNT_MGR_ID INT, CUST_GEO_LOCATION VARCHAR(200), DATE_OF_BIRTH DATE, MARITAL_STATUS VARCHAR(20), GENDER VARCHAR(1), INCOME_LEVEL VARCHAR(20), CONSTRAINT CUSTOMER_CREDIT_LIMIT_MAX CHECK (credit_limit 0), CONSTRAINT CUSTOMERS_ACCOUNT_MANAGER_FK FOREIGN KEY (ACCOUNT_MGR_ID) REFERENCES SAMPLES.EMPLOYEES (EMPLOYEE_ID) );
Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (193, 'Harry dean', 'Kinski', 'us', 'AMERICA', 1200, '[email protected]', 149, 'married', 'M', 'D: 70,000 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (194, 'Kathleen', 'Garcia', 'us', 'AMERICA', 1200, '[email protected]', 149, 'married', 'F', 'I: 170,000 189,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (195, 'Sean', 'Olin', 'us', 'AMERICA', 1200, '[email protected]', 149, 'single', 'F', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (196, 'Gerard', 'Dench', 'us', 'AMERICA', 1200, '[email protected]', 149, 'married', 'F', 'E: 90,000 - 109,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (197, 'Gerard', 'Altman', 'us', 'AMERICA', 1200, '[email protected]', 149, 'single', 'F', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL)
37
Values (198, 'Maureen', 'de Funes', 'us', 'AMERICA', 1200, '[email protected]', 149, 'married', 'F', 'D: 70,000 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (199, 'Clint', 'Chapman', 'us', 'AMERICA', 1400, '[email protected]', 149, 'single', 'F', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (200, 'Clint', 'Gielgud', 'us', 'AMERICA', 1400, '[email protected]', 149, 'married', 'F', 'E: 90,000 - 109,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (201, 'Eric', 'Prashant', 'us', 'AMERICA', 1400, '[email protected]', 149, 'married', 'F', 'C: 50,000 - 69,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (202, 'Ingrid', 'Welles', 'us', 'AMERICA', 1400, '[email protected]', 149, 'married', 'M', 'D: 70,000 - 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (203, 'Ingrid', 'Rampling', 'us', 'AMERICA', 1400, '[email protected]', 149, 'single', 'M', 'F: 110,000 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (204, 'Cliff', 'Puri', 'us', 'AMERICA', 1400, '[email protected]', 149, 'married', 'M', 'J: 190,000 - 249,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (205, 'Emily', 'Pollack', 'us', 'AMERICA', 1400, '[email protected]', 149, 'single', 'M', 'L: 300,000 and above'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (206, 'Fritz', 'Hackman', 'us', 'AMERICA', 1400, '[email protected]', 149, 'married', 'F', 'G: 130,000 149,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (207, 'Cybill', 'Laughton', 'us', 'AMERICA', 1400, '[email protected]', 149, 'single', 'M', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (208, 'Cyndi', 'Griem', 'us', 'AMERICA', 1400, '[email protected]', 149, 'married', 'M', 'E: 90,000 - 109,999');
38
Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (209, 'Cyndi', 'Collins', 'us', 'AMERICA', 1400, '[email protected]', 149, 'single', 'M', 'D: 70,000 - 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (210, 'Cybill', 'Clapton', 'us', 'AMERICA', 1400, '[email protected]', 149, 'married', 'F', 'D: 70,000 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (211, 'Luchino', 'Jordan', 'us', 'AMERICA', 1500, '[email protected]', 149, 'single', 'F', 'A: Below 30,000'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (212, 'Luchino', 'Falk', 'us', 'AMERICA', 1500, '[email protected]', 149, 'married', 'M', 'L: 300,000 and above'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (214, 'Robin', 'Danson', 'us', 'AMERICA', 1500, '[email protected]', 149, 'single', 'M', 'F: 110,000 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (215, 'Orson', 'Perkins', 'us', 'AMERICA', 1900, '[email protected]', 149, 'married', 'M', 'E: 90,000 - 109,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (216, 'Orson', 'Koirala', 'us', 'AMERICA', 1900, '[email protected]', 149, 'single', 'F', 'J: 190,000 - 249,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (218, 'Bryan', 'Dvrrie', 'us', 'AMERICA', 2300, '[email protected]', 149, 'single', 'F', 'G: 130,000 - 149,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (219, 'Ajay', 'Sen', 'us', 'AMERICA', 2300, '[email protected]', 149, 'single', 'M', 'K: 250,000 - 299,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (220, 'Carol', 'Jordan', 'us', 'AMERICA', 2300, '[email protected]', 149, 'married', 'M', 'I: 170,000 189,999'); Insert into CUSTOMERS
39
(CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (221, 'Carol', 'Bradford', 'us', 'AMERICA', 2300, '[email protected]', 149, 'single', 'M', 'G: 130,000 - 149,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (223, 'Cary', 'Olin', 'us', 'AMERICA', 2300, '[email protected]', 149, 'single', 'M', 'D: 70,000 - 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (224, 'Clara', 'Krige', 'us', 'AMERICA', 2300, '[email protected]', 149, 'married', 'M', 'H: 150,000 - 169,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (225, 'Clara', 'Ganesan', 'us', 'AMERICA', 2300, '[email protected]', 149, 'single', 'F', 'I: 170,000 - 189,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (227, 'Kathy', 'Prashant', 'us', 'AMERICA', 2400, '[email protected]', 149, 'single', 'M', 'J: 190,000 - 249,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (228, 'Graham', 'Neeson', 'us', 'AMERICA', 2400, '[email protected]', 149, 'married', 'M', 'E: 90,000 109,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (229, 'Ian', 'Chapman', 'us', 'AMERICA', 2400, '[email protected]', 149, 'single', 'M', 'D: 70,000 - 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (230, 'Danny', 'Wright', 'us', 'AMERICA', 2400, '[email protected]', 149, 'married', 'M', 'F: 110,000 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (232, 'Donald', 'Hunter', 'us', 'AMERICA', 2400, '[email protected]', 145, 'married', 'M', 'G: 130,000 149,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (233, 'Graham', 'Spielberg', 'us', 'AMERICA', 2400, '[email protected]', 145, 'single', 'M', 'D: 70,000 89,999'); Insert into CUSTOMERS
40
(CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (234, 'Dan', 'Roberts', 'us', 'AMERICA', 2400, '[email protected]', 145, 'married', 'M', 'I: 170,000 189,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (235, 'Edward', 'Oates', 'us', 'AMERICA', 2400, '[email protected]', 145, 'married', 'M', 'E: 90,000 109,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (237, 'Farrah', 'Quinlan', 'us', 'AMERICA', 2400, '[email protected]', 145, 'married', 'M', 'A: Below 30,000'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (238, 'Farrah', 'Lange', 'us', 'AMERICA', 2400, '[email protected]', 145, 'married', 'M', 'F: 110,000 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (239, 'Hal', 'Stockwell', 'us', 'AMERICA', 2400, '[email protected]', 145, 'single', 'M', 'H: 150,000 - 169,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (240, 'Malcolm', 'Kanth', 'us', 'AMERICA', 2400, '[email protected]', 145, 'married', 'F', 'H: 150,000 - 169,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (241, 'Malcolm', 'Broderick', 'us', 'AMERICA', 2400, '[email protected]', 145, 'single', 'M', 'F: 110,000 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (242, 'Mary', 'Lemmon', 'us', 'AMERICA', 2400, '[email protected]', 145, 'married', 'M', 'K: 250,000 299,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (243, 'Mary', 'Collins', 'us', 'AMERICA', 2400, '[email protected]', 145, 'married', 'F', 'F: 110,000 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values
41
(244, 'Matt', 'Gueney', 'us', 'AMERICA', 2400, '[email protected]', 145, 'single', 'M', 'G: 130,000 - 149,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (245, 'Max', 'von Sydow', 'us', 'AMERICA', 2400, '[email protected]', 145, 'single', 'M', 'K: 250,000 299,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (246, 'Max', 'Schell', 'us', 'AMERICA', 2400, '[email protected]', 145, 'married', 'M', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (247, 'Cynda', 'Whitcraft', 'us', 'AMERICA', 2400, '[email protected]', 145, 'married', 'M', 'B: 30,000 49,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (248, 'Donald', 'Minnelli', 'us', 'AMERICA', 2400, '[email protected]', 145, 'single', 'M', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (249, 'Hannah', 'Broderick', 'us', 'AMERICA', 2400, '[email protected]', 145, 'married', 'M', 'D: 70,000 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (250, 'Dan', 'Williams', 'us', 'AMERICA', 2400, '[email protected]', 145, 'single', 'M', 'A: Below 30,000'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (251, 'Raul', 'Wilder', 'us', 'AMERICA', 2500, '[email protected]', 145, 'married', 'M', 'E: 90,000 - 109,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (252, 'Shah Rukh', 'Field', 'us', 'AMERICA', 2500, '[email protected]', 145, 'single', 'M', 'I: 170,000 189,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (253, 'Sally', 'Bogart', 'us', 'AMERICA', 2500, '[email protected]', 145, 'married', 'M', 'H: 150,000 - 169,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (254, 'Bruce', 'Bates', 'us', 'AMERICA', 3500, '[email protected]', 145, 'single', 'M', 'D: 70,000 - 89,999');
42
Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (255, 'Brooke', 'Shepherd', 'us', 'AMERICA', 3500, '[email protected]', 145, 'married', 'M', 'C: 50,000 69,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (256, 'Ben', 'de Niro', 'us', 'AMERICA', 3500, '[email protected]', 145, 'single', 'M', 'I: 170,000 - 189,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (257, 'Emmet', 'Walken', 'us', 'AMERICA', 3600, '[email protected]', 145, 'married', 'M', 'B: 30,000 49,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (258, 'Ellen', 'Palin', 'us', 'AMERICA', 3600, '[email protected]', 145, 'married', 'M', 'H: 150,000 - 169,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (259, 'Denholm', 'von Sydow', 'us', 'AMERICA', 3600, '[email protected]', 145, 'single', 'F', 'D: 70,000 - 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (260, 'Ellen', 'Khan', 'us', 'AMERICA', 3600, '[email protected]', 149, 'married', 'M', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (262, 'Fred', 'Reynolds', 'us', 'AMERICA', 3600, '[email protected]', 149, 'married', 'M', 'F: 110,000 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (263, 'Fred', 'Lithgow', 'us', 'AMERICA', 3600, '[email protected]', 149, 'single', 'M', 'D: 70,000 - 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (264, 'George', 'Adjani', 'us', 'AMERICA', 3600, '[email protected]', 149, 'married', 'F', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (265, 'Irene', 'Laughton', 'us', 'AMERICA', 3600, '[email protected]', 149, 'single', 'F', 'J: 190,000 249,999');
43
Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (267, 'Prem', 'Walken', 'us', 'AMERICA', 3700, '[email protected]', 145, 'married', 'F', 'G: 130,000 - 149,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (268, 'Kyle', 'Schneider', 'us', 'AMERICA', 3700, '[email protected]', 145, 'single', 'F', 'G: 130,000 - 149,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (269, 'Kyle', 'Martin', 'us', 'AMERICA', 3700, '[email protected]', 145, 'married', 'F', 'D: 70,000 - 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (271, 'Shelley', 'Peckinpah', 'us', 'AMERICA', 3700, '[email protected]', 145, 'single', 'F', 'D: 70,000 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (272, 'Prem', 'Garcia', 'us', 'AMERICA', 3700, '[email protected]', 145, 'married', 'M', 'I: 170,000 - 189,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (273, 'Bo', 'Hitchcock', 'us', 'AMERICA', 5000, '[email protected]', 145, 'married', 'M', 'E: 90,000 - 109,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (274, 'Bob', 'McCarthy', 'us', 'AMERICA', 5000, '[email protected]', 149, 'single', 'M', 'A: Below 30,000'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (276, 'Dom', 'Hoskins', 'us', 'AMERICA', 5000, '[email protected]', 149, 'married', 'M', 'E: 90,000 - 109,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (277, 'Don', 'Siegel', 'us', 'AMERICA', 5000, '[email protected]', 149, 'single', 'M', 'B: 30,000 - 49,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (278, 'Gvtz', 'Bradford', 'us', 'AMERICA', 5000, '[email protected]', 149, 'married', 'M', 'K: 250,000 - 299,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values
44
(280, 'Rob', 'MacLaine', 'us', 'AMERICA', 5000, '[email protected]', 149, 'married', 'M', 'B: 30,000 - 49,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (281, 'Don', 'Barkin', 'us', 'AMERICA', 5000, '[email protected]', 149, 'single', 'M', 'I: 170,000 - 189,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (282, 'Kurt', 'Danson', 'us', 'AMERICA', 5000, '[email protected]', 145, 'married', 'M', 'H: 150,000 - 169,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (308, 'Glenda', 'Dunaway', 'zhs', 'CHINA', 1200, '[email protected]', 148, 'married', 'M', 'C: 50,000 69,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (309, 'Glenda', 'Bates', 'zhs', 'CHINA', 1200, '[email protected]', 148, 'single', 'M', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (323, 'Goetz', 'Falk', 'hi', 'INDIA', 5000, '[email protected]', 148, 'married', 'F', 'G: 130,000 - 149,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (326, 'Hal', 'Olin', 'd', 'GERMANY', 2400, '[email protected]', 147, 'married', 'F', 'H: 150,000 - 169,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (327, 'Hannah', 'Kanth', 'd', 'GERMANY', 2400, '[email protected]', 147, 'single', 'M', 'F: 110,000 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (328, 'Hannah', 'Field', 'd', 'GERMANY', 2400, '[email protected]', 147, 'married', 'F', 'G: 130,000 149,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (333, 'Margret', 'Powell', 'i', 'ITALY', 1200, '[email protected]', 147, 'single', 'M', 'G: 130,000 - 149,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (334, 'Harry Mean', 'Taylor', 'us', 'AMERICA', 1200, '[email protected]', 147, 'single', 'M', 'I: 170,000 189,999');
45
Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (335, 'Margrit', 'Garner', 'i', 'ITALY', 500, '[email protected]', 147, 'married', 'F', 'H: 150,000 - 169,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (337, 'Maria', 'Warden', 'i', 'ITALY', 500, '[email protected]', 147, 'married', 'F', 'B: 30,000 - 49,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (339, 'Marilou', 'Landis', 'i', 'ITALY', 500, '[email protected]', 147, 'single', 'M', 'A: Below 30,000'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (361, 'Marilou', 'Chapman', 'i', 'ITALY', 500, '[email protected]', 147, 'single', 'F', 'D: 70,000 - 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (363, 'Kathy', 'Lambert', 'i', 'ITALY', 2400, '[email protected]', 147, 'married', 'M', 'C: 50,000 - 69,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (360, 'Helmut', 'Capshaw', 'zhs', 'CHINA', 3600, '[email protected]', 148, 'married', 'M', 'J: 190,000 249,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (341, 'Keir', 'George', 'i', 'ITALY', 700, '[email protected]', 147, 'married', 'F', 'E: 90,000 - 109,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (342, 'Marlon', 'Laughton', 'i', 'ITALY', 2400, '[email protected]', 147, 'single', 'F', 'F: 110,000 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (343, 'Keir', 'Chandar', 'i', 'ITALY', 700, '[email protected]', 147, 'married', 'M', 'G: 130,000 - 149,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (344, 'Marlon', 'Godard', 'ja', 'JAPAN', 2400, '[email protected]', 148, 'single', 'M', 'H: 150,000 - 169,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL)
46
Values (345, 'Keir', 'Weaver', 'i', 'ITALY', 700, '[email protected]', 147, 'married', 'M', 'H: 150,000 - 169,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (346, 'Marlon', 'Clapton', 'i', 'ITALY', 2400, '[email protected]', 147, 'married', 'M', 'K: 250,000 - 299,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (347, 'Kelly', 'Quinlan', 'i', 'ITALY', 3600, '[email protected]', 147, 'married', 'F', 'A: Below 30,000'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (348, 'Kelly', 'Lange', 'i', 'ITALY', 3600, '[email protected]', 147, 'single', 'M', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (349, 'Ken', 'Glenn', 'i', 'ITALY', 3600, '[email protected]', 147, 'married', 'M', 'K: 250,000 - 299,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (350, 'Ken', 'Chopra', 'i', 'ITALY', 3600, '[email protected]', 147, 'single', 'F', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (351, 'Ken', 'Wenders', 'i', 'ITALY', 3600, '[email protected]', 147, 'married', 'F', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (380, 'Meryl', 'Holden', 'hi', 'INDIA', 3700, '[email protected]', 148, 'single', 'F', 'H: 150,000 - 169,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (447, 'Richard', 'Coppola', 'i', 'ITALY', 500, '[email protected]', 147, 'married', 'F', 'C: 50,000 - 69,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (449, 'Rick', 'Romero', 'i', 'ITALY', 1500, '[email protected]', 147, 'single', 'F', 'B: 30,000 - 49,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (450, 'Rick', 'Lyon', 'i', 'ITALY', 1500, '[email protected]', 147, 'married', 'F', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL)
47
Values (451, 'Ridley', 'Hackman', 'i', 'ITALY', 700, '[email protected]', 147, 'single', 'F', 'H: 150,000 - 169,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (453, 'Ridley', 'Young', 'hi', 'INDIA', 700, '[email protected]', 148, 'single', 'M', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (454, 'Rob', 'Russell', 'hi', 'INDIA', 5000, '[email protected]', 148, 'married', 'M', 'E: 90,000 - 109,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (458, 'Robert', 'de Niro', 'hi', 'INDIA', 3700, '[email protected]', 148, 'single', 'F', 'H: 150,000 - 169,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (466, 'Rodolfo', 'Hershey', 'hi', 'INDIA', 5000, '[email protected]', 148, 'single', 'M', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (467, 'Rodolfo', 'Dench', 'hi', 'INDIA', 5000, '[email protected]', 148, 'married', 'F', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (470, 'Roger', 'Mastroianni', 'hi', 'INDIA', 3700, '[email protected]', 148, 'married', 'M', 'L: 300,000 and above'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (473, 'Rolf', 'Ashby', 'hi', 'INDIA', 5000, '[email protected]', 148, 'single', 'M', 'G: 130,000 - 149,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (474, 'Romy', 'Sharif', 'hi', 'INDIA', 5000, '[email protected]', 148, 'married', 'M', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (476, 'Rosanne', 'Hopkins', 'hi', 'INDIA', 300, '[email protected]', 148, 'married', 'M', 'D: 70,000 - 89,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (477, 'Rosanne', 'Douglas', 'hi', 'INDIA', 300, '[email protected]', 148, 'single', 'F', 'F: 110,000 129,999'); Insert into CUSTOMERS
48
(CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (478, 'Rosanne', 'Baldwin', 'hi', 'INDIA', 300, '[email protected]', 148, 'married', 'F', 'A: Below 30,000'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (480, 'Roxanne', 'Michalkow', 'hi', 'INDIA', 1200, '[email protected]', 148, 'single', 'M', 'L: 300,000 and above'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (481, 'Roy', 'Hulce', 'hi', 'INDIA', 5000, '[email protected]', 148, 'married', 'F', 'E: 90,000 - 109,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (482, 'Roy', 'Dunaway', 'hi', 'INDIA', 5000, '[email protected]', 148, 'married', 'F', 'F: 110,000 - 129,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUAGE, NLS_TERRITORY, CREDIT_LIMIT, CUST_EMAIL, ACCOUNT_MGR_ID, MARITAL_STATUS, GENDER, INCOME_LEVEL) Values (487, 'Rufus', 'Dvrrie', 'hi', 'INDIA', 1900, '[email protected]', 148, 'married', 'M', 'J: 190,000 - 249,999'); Insert into CUSTOMERS (CUSTOMER_ID, CUST_FIRST_NAME, CUST_LAST_NAME, NLS_LANGUA