Customers |
|||||
ID |
Name |
Street |
City |
Zip |
|
1 |
Emily |
101 Anza St |
San Francisco |
94118 |
|
2 |
Amy |
1 Houston Ave |
New York |
12111 |
|
3 |
John |
29 Sunset Blvd |
Los Angeles |
45643 |
|
4 |
Pam |
800 Market St |
San Francisco |
94080 |
|
5 |
Sue |
400 Muir Ave |
Redwood City |
94598 |
|
6 |
Chris |
987 A Ave |
New York |
13111 |
|
7 |
Todd |
788 Harrison St |
San Francisco |
94117 |
Products |
|||
ID |
Product_name |
Price |
Quantity |
1 |
Metal pen |
5.99 |
20 |
2 |
Surge protector |
25.99 |
0 |
3 |
pencil |
7.25 |
59 |
4 |
Replacement screen |
75.25 |
54 |
5 |
PC monitor |
200.5 |
6 |
6 |
Magic mouse |
125.99 |
0 |
7 |
iphone charger |
101.99 |
0 |
Given the data in the tables and the SQL query, what would the output look like? Write out the output from the SQL query
1. SELECT
Name
FROM customers
WHERE
City = 'San Francisco'
2. SELECT
C.ID,
C.name,
O.Delivery
FROM Customers C
Join Orders O
ON C.ID = O.Customers_ID
WHERE O.DELIVERY = "Shipping
Group by C.ID,
C.name
3. SELECT
Product_name
Count(*) as count_of_products
FROM products
WHERE
Price BETWEEN 2 and 100
GROUP BY
Product_name
4. SELECT
Product_name,
Price,
Count(*) as count_of_products
FROM products
WHERE
Quanity > 5
GROUP BY
Product_name, price
ORDER BY
Price ASC
1)
SELECT
Name
FROM customers
WHERE
City = 'San Francisco'
output:
Name |
Emily |
Pam |
Todd |
2) Orders Table not provided
3)
SELECT
Product_name
Count(*) as count_of_products
FROM products
WHERE
Price BETWEEN 2 and 100
GROUP BY
Product_name
output:
Product_name | count_of_products |
Metal pen | 1 |
Surge protector | 1 |
Pencil | 1 |
Replacement screen | 1 |
4)
SELECT
Product_name,
Price,
Count(*) as count_of_products
FROM products
WHERE
Quanity > 5
GROUP BY
Product_name, price
ORDER BY
Price ASC
output:
Product_name | Price | count_of_products |
Metal pen | 5.99 | 1 |
pencil | 7.25 | 1 |
Replacement screen | 75.25 | 1 |
PC monitor | 200.5 | 1 |
NB: For any doubts feel free to ask.
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