Create the following tables in your database with the following schema: Table: customers | Column Name | Туре I customer_id I name | country I int | varchar | | varchar | +-- ---- customer_id is the primary key for this table. This table contains information about the customers in the company. Table: Product | Column Name 1 Туре I product_id I description I price | int I varchar | | int +- product_id is the primary key for this table. This table contains information on the products in the company. price is the product cost. Table: orders | Column Name 1 Туре | order_id | customer_id I product_id I order_date I quantity | int | int | int I date | int order_id is the primary key for this table. This table contains information on customer orders. customer_id is the id of the customer who bought "quantity" products with id "product_id". Order_date is the date in format ('YYYY-MM-DD') when the order was shipped.

Oracle 12c: SQL
3rd Edition
ISBN:9781305251038
Author:Joan Casteel
Publisher:Joan Casteel
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Show all the sql query codes and the output with it please

Create the following tables in your database with the following schema:
Table: customers
| Column Name
| Type
| int
| varchar |
| varchar |
| customer id
I name
| country
+-
------+
customer_id is the primary key for this table.
This table contains information about the customers in the company.
Table: Product
| Column Name
| Туре
I product_id
| description
I price
| int
| varchar |
| int
+----
---
------+
product_id is the primary key for this table.
This table contains information on the products in the company.
price is the product cost.
Table: Orders
+-
| Column Name
| Type
+-
| order id
| customer id
I product_id
| order date
I quantity
| int
| int
| int
date
| int
+---
---+
order id is the primary key for this table.
This table contains information on customer orders.
customer_id is the id of the customer who bought "quantity" products with id
"product_id".
Order date is the date in format ('YYYY-MM-DD') when the order was shipped.
Add the following data to your tables:
Transcribed Image Text:Create the following tables in your database with the following schema: Table: customers | Column Name | Type | int | varchar | | varchar | | customer id I name | country +- ------+ customer_id is the primary key for this table. This table contains information about the customers in the company. Table: Product | Column Name | Туре I product_id | description I price | int | varchar | | int +---- --- ------+ product_id is the primary key for this table. This table contains information on the products in the company. price is the product cost. Table: Orders +- | Column Name | Type +- | order id | customer id I product_id | order date I quantity | int | int | int date | int +--- ---+ order id is the primary key for this table. This table contains information on customer orders. customer_id is the id of the customer who bought "quantity" products with id "product_id". Order date is the date in format ('YYYY-MM-DD') when the order was shipped. Add the following data to your tables:
Input:
Customers table:
+-----
| customer id
| country
name
+-
| 1
| 2
| 3
| winston
| Jonathan
| Moustafa
| USA
| Peru
| Egypt
+-
Product table:
+-----
I product_id
| description | price
+-
| 10
| 20
| 30
| 40
| LC Phone
| LC T-Shirt
| LC Book
| LC Keychain | 2
| 300
| 10
| 45
+----
Orders table:
+-----
| order id
| customer_id | product_id | order_date
I quantity
+-
| 2020-06-10
| 2020-07-01
| 2020-07-08
| 2020-06-15
| 2020-07-01
| 2020-06-24
| 2020-06-25
| 2020-05-08
| 1
| 1
| 2
| 2
| 10
| 2
| 2
| 3
| 1
| 2
| 3
| 1
| 1
| 1
| 2
| 2
| 3
| 3
| 3
| 10
| 20
| 30
| 10
| 40
| 20
| 30
| 30
| 5
| 7
Write an SQL query to report the customer_id and customer_name of customers who have spent at
least $100 in each month of June and July 2020.
Return the result table in any order.
Hint: You need to use JOINS, GROUP BY, HAVING, CASE (in the HAVING clause) and MONTH()
function to check for the month.
The results should be:
Output:
+-
| customer id
| name
+-
| 1
| winston
+-
Explanation:
winston spent $300 (300 * 1) in June and $100 ( 10 * 1 + 45 * 2) in July 2020.
Jonathan spent $600 (300 * 2) in June and $20 ( 2 * 10)
Moustafa spent $11o (10 * 2 + 45 * 2) in June and $0 in July 2020.
July 2020.
Transcribed Image Text:Input: Customers table: +----- | customer id | country name +- | 1 | 2 | 3 | winston | Jonathan | Moustafa | USA | Peru | Egypt +- Product table: +----- I product_id | description | price +- | 10 | 20 | 30 | 40 | LC Phone | LC T-Shirt | LC Book | LC Keychain | 2 | 300 | 10 | 45 +---- Orders table: +----- | order id | customer_id | product_id | order_date I quantity +- | 2020-06-10 | 2020-07-01 | 2020-07-08 | 2020-06-15 | 2020-07-01 | 2020-06-24 | 2020-06-25 | 2020-05-08 | 1 | 1 | 2 | 2 | 10 | 2 | 2 | 3 | 1 | 2 | 3 | 1 | 1 | 1 | 2 | 2 | 3 | 3 | 3 | 10 | 20 | 30 | 10 | 40 | 20 | 30 | 30 | 5 | 7 Write an SQL query to report the customer_id and customer_name of customers who have spent at least $100 in each month of June and July 2020. Return the result table in any order. Hint: You need to use JOINS, GROUP BY, HAVING, CASE (in the HAVING clause) and MONTH() function to check for the month. The results should be: Output: +- | customer id | name +- | 1 | winston +- Explanation: winston spent $300 (300 * 1) in June and $100 ( 10 * 1 + 45 * 2) in July 2020. Jonathan spent $600 (300 * 2) in June and $20 ( 2 * 10) Moustafa spent $11o (10 * 2 + 45 * 2) in June and $0 in July 2020. July 2020.
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