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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.

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.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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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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