Given the following tables… PERSON ----------------------------------- PK person_id NUMBER(10) NOT NULL first_name VARCHAR2(100) preferred_first_name VARCHAR2(100)

Given the following tables…

PERSON

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

PK  person_id             NUMBER(10)    NOT NULL

    first_name            VARCHAR2(100)

    preferred_first_name  VARCHAR2(100)

    last_name             VARCHAR2(100) NOT NULL

    date_of_birth         DATE

    hire_date             DATE

    occupation            VARCHAR2(1)

ADDRESS

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

PK  address_id            NUMBER(10)    NOT NULL

FK  person_id             NUMBER(10)    NOT NULL

    address_type          VARCHAR2(4)   NOT NULL

    street_line_1         VARCHAR2(100)

    city                  VARCHAR2(100)

    state                 VARCHAR2(100)

    zip_code              VARCHAR2(30)

1) Write a query to select all rows from person.  If the person row has a value in preferred_first_name, select the preferred name instead of the value in first name.  Alias the column as REPORTING_NAME.

2) Write a query to select all rows from person that have a NULL occupation.

3) Write a query to select all rows from person that have a date_of_birth before August 7th, 1990.             

4) Write a query to select all rows from person that have a hire_date in the past 100 days. 

5) Write a query to select rows from person that also have a row in address with address_type = 'HOME'.

6) Write a query to select all rows from person and only those rows from address that have a matching billing address (address_type = 'BILL').  If a matching billing address does not exist, display 'NONE' in the address_type column.

7)  Write a query to count the number of addresses per address type.

            Output: 

      address_type     count

       -------------   ------

       HOME                99

       BILL               150

8)  Write a query to select data in the following format:

            last_name           home_address                          billing_address

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

       Smith               89 Lyon Circle, Clifton, VA 12345     25 Science Park, New Haven, CT 06511

       Jones               212 Maple Ave, Manassas, VA 22033     275 Winchester Ave, New Haven, CT 06511

9) Write a query to update the person.occupation column to ‘X’ for all rows that have a ‘BILL’ address in the addresstable.

Please send a word document with the SQL and the tested output results screenshots.