Answer the following questions:
1.
What is the possible data type of the column
‘COL1’?
2.
What will the output of the following SQL
statements be?
a.
‘SELECT COUNT(*) AS ENTRIES FROM TABLE;’
b.
‘SELECT COUNT(COL1) AS ENTRIES FROM TABLE;’
c.
‘SELECT COUNT(DISTINCT COL1) AS ENTRIES FROM
TABLE;’
3.
Write a query to fetch rows with values
ranging from 0 to 2 (assuming the data
type to be same as mentioned above)
Question
5: Consider the below table:
ord_no |
purch_amt |
ord_date |
customer_id |
salesman_id |
70001 |
150.5 |
05-10-2012 |
3005 |
5002 |
70009 |
270.65 |
10-09-2012 |
3001 |
5005 |
70002 |
65.26 |
05-10-2012 |
3002 |
5001 |
70004 |
110.5 |
17-08-2012 |
3009 |
5003 |
70007 |
948.5 |
10-09-2012 |
3005 |
5002 |
70005 |
2400.6 |
27-07-2012 |
3007 |
5001 |
70008 |
5760 |
10-09-2012 |
3002 |
5001 |
70010 |
1983.43 |
10-10-2012 |
3004 |
5006 |
70003 |
2480.4 |
10-10-2012 |
3009 |
5003 |
70012 |
250.45 |
27-06-2012 |
3008 |
5002 |
70011 |
75.29 |
17-08-2012 |
3003 |
5007 |
70013 |
3045.6 |
25-04-2012 |
3002 |
5001 |
1.
Find out the number of orders booked and their
total purchased amount for each day. The output should be in the below format:
a.
"For 2001-10-10 there are 15 orders and
total amount is Rs.100"
2.
Find the total purchase amount at a customer
salesman level and rank the salesmen based on the total sales done
3.
Find the orders with all the field in such a
manner that, the oldest order date will come first and the highest purchase
amount of same day will come first
Question
6: Write a query in SQL to obtain the name of the physicians who are
the head of each department. Use the below two tables
Sample table: physician
employee id |
name |
position |
ssn |
1 |
John Dorian |
Staff Internist |
111111111 |
2 |
Elliot Reid |
Attending Physician |
222222222 |
3 |
Christopher Turk |
Surgical Attending Physician |
333333333 |
4 |
Percival Cox |
Senior Attending Physician |
444444444 |
5 |
Bob Kelso |
Head Chief of Medicine |
555555555 |
6 |
Todd Quinlan |
Surgical Attending Physician |
666666666 |
7 |
John Wen |
Surgical Attending Physician |
777777777 |
8 |
Keith Dudemeister |
MD Resident |
888888888 |
9 |
Molly Clock |
Attending Psychiatrist |
999999999 |
Sample table: department
department
id |
name |
head_employee_id |
1 |
General Medicine |
4 |
2 |
Surgery |
7 |
3 |
Psychiatry |
9 |
Output Table:
department
id |
dept_name |
head_employee_name |
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