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BikeStores Database Design and Implementation| Hire Database Expert

Load the BikeStores Database

Q1: Execute the 3 sql files in sequence: BikeStores Sample Database - create objects.sql, BikeStores Sample Database - load data.sql, and Create table sales_summary.sql.

  • Give the SQL statement to create a clustered index ix_sales_summary_brand on the brand column of the sales.sales_summary table.

  • We have introduced two approaches to create an index on multiple columns. Give the SQL statements to create two nonclustered indexes for model_year and sales for the sales.sales_summary table using the two approaches (ix_sales_summary_model_year_sales and ix_sales_summary_model_year_include_sales), respectively. Please check the demo code for reference.

  • Give the SQL statement to display the index information of the table. Since sales.sales_summary contains a dot character in the table name, quotation marks may be needed. Attach a screenshot of the index information after executing the statement. Your screenshot should display the three indexes created in step a and step b.

  • Please do some research and use your own words to briefly explain the differences between the two approaches in step b (at least 300 words). You MUST provide a list of references used; a direct copy and paste or no references will result in a ZERO mark for the whole assignment.


Use the BikeStores database and complete the following tasks. a. (2 marks) Use the GROUP BY CUBE operator on table sales.sales_summary to obtain the subtotals and grand total of sales for brand and model_year. Give the SQL statement and attach the screenshot of the result. b. (2 marks) Based on step a, perform a dice operation on brand ('Electra', 'Surly', and 'Trek'), and model_year (2016 and 2017). Give the SQL statement and attach the screenshot of the result. c. (3 marks) Create a pivot table that displays the result of step b in the following format.



Q2: Use the BikeStores database and complete the following tasks.

  • Use the GROUP BY CUBE operator on table sales.sales_summary to obtain the subtotals and grand total of sales for brand and model_year. Give the SQL statement and attach the screenshot of the result.

  • Based on step a, perform a dice operation on brand ('Electra', 'Surly', and 'Trek'), and model_year (2016 and 2017). Give the SQL statement and attach the screenshot of the result.

  • Create a pivot table that displays the result of step b in the following format.


Give the SQL statement and attach the screenshot of the result.



Implementation

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

© 2017 sqlservertutorial.net All Rights Reserved

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Name : BikeStores

Link : http://www.sqlservertutorial.net/load-sample-database/

Version: 1.0

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

*/



use master;

drop database if exists BikeStores;
go

create database BikeStores;
go

use BikeStores;
go

-- create schemas
CREATE SCHEMA production;
go

CREATE SCHEMA sales;
go

Creating Tables

-- create tables
CREATE TABLE production.categories (
	category_id INT IDENTITY (1, 1) PRIMARY KEY,
	category_name VARCHAR (255) NOT NULL
);
CREATE TABLE production.brands (
	brand_id INT IDENTITY (1, 1) PRIMARY KEY,
	brand_name VARCHAR (255) NOT NULL
);
CREATE TABLE production.products (
	product_id INT IDENTITY (1, 1) PRIMARY KEY,
	product_name VARCHAR (255) NOT NULL,
	brand_id INT NOT NULL,
	category_id INT NOT NULL,
	model_year SMALLINT NOT NULL,
	list_price DECIMAL (10, 2) NOT NULL,
	FOREIGN KEY (category_id) REFERENCES production.categories (category_id) ON DELETE CASCADE ON UPDATE CASCADE,
	FOREIGN KEY (brand_id) REFERENCES production.brands (brand_id) ON DELETE CASCADE ON UPDATE CASCADE
);
CREATE TABLE sales.customers (
	customer_id INT IDENTITY (1, 1) PRIMARY KEY,
	first_name VARCHAR (255) NOT NULL,
	last_name VARCHAR (255) NOT NULL,
	phone VARCHAR (25),
	email VARCHAR (255) NOT NULL,
	street VARCHAR (255),
	city VARCHAR (50),
	state VARCHAR (25),
	zip_code VARCHAR (5)
);
CREATE TABLE sales.stores (
	store_id INT IDENTITY (1, 1) PRIMARY KEY,
	store_name VARCHAR (255) NOT NULL,
	phone VARCHAR (25),
	email VARCHAR (255),
	street VARCHAR (255),
	city VARCHAR (255),
	state VARCHAR (10),
	zip_code VARCHAR (5)
);
CREATE TABLE sales.staffs (
	staff_id INT IDENTITY (1, 1) PRIMARY KEY,
	first_name VARCHAR (50) NOT NULL,
	last_name VARCHAR (50) NOT NULL,
	email VARCHAR (255) NOT NULL UNIQUE,
	phone VARCHAR (25),
	active tinyint NOT NULL,
	store_id INT NOT NULL,
	manager_id INT,
	FOREIGN KEY (store_id) REFERENCES sales.stores (store_id) ON DELETE CASCADE ON UPDATE CASCADE,
	FOREIGN KEY (manager_id) REFERENCES sales.staffs (staff_id) ON DELETE NO ACTION ON UPDATE NO ACTION
);
CREATE TABLE sales.orders (
	order_id INT IDENTITY (1, 1) PRIMARY KEY,
	customer_id INT,
	order_status tinyint NOT NULL,
	-- Order status: 1 = Pending; 2 = Processing; 3 = Rejected; 4 = Completed
	order_date DATE NOT NULL,
	required_date DATE NOT NULL,
	shipped_date DATE,
	store_id INT NOT NULL,
	staff_id INT NOT NULL,
	FOREIGN KEY (customer_id) REFERENCES sales.customers (customer_id) ON DELETE CASCADE ON UPDATE CASCADE,
	FOREIGN KEY (store_id) REFERENCES sales.stores (store_id) ON DELETE CASCADE ON UPDATE CASCADE,
	FOREIGN KEY (staff_id) REFERENCES sales.staffs (staff_id) ON DELETE NO ACTION ON UPDATE NO ACTION
);
CREATE TABLE sales.order_items (
	order_id INT,
	item_id INT,
	product_id INT NOT NULL,
	quantity INT NOT NULL,
	list_price DECIMAL (10, 2) NOT NULL,
	discount DECIMAL (4, 2) NOT NULL DEFAULT 0,
	PRIMARY KEY (order_id, item_id),
	FOREIGN KEY (order_id) REFERENCES sales.orders (order_id) ON DELETE CASCADE ON UPDATE CASCADE,
	FOREIGN KEY (product_id) REFERENCES production.products (product_id) ON DELETE CASCADE ON UPDATE CASCADE
);
CREATE TABLE production.stocks (
	store_id INT,
	product_id INT,
	quantity INT,
	PRIMARY KEY (store_id, product_id),
	FOREIGN KEY (store_id) REFERENCES sales.stores (store_id) ON DELETE CASCADE ON UPDATE CASCADE,
	FOREIGN KEY (product_id) REFERENCES production.products (product_id) ON DELETE CASCADE ON UPDATE CASCADE
);


Insert Data Into Tables

use BikeStores;

SET IDENTITY_INSERT production.brands ON;  

INSERT INTO production.brands(brand_id,brand_name) VALUES(1,'Electra')
INSERT INTO production.brands(brand_id,brand_name) VALUES(2,'Haro')
INSERT INTO production.brands(brand_id,brand_name) VALUES(3,'Heller'


SET IDENTITY_INSERT production.brands OFF;  

SET IDENTITY_INSERT production.categories ON;  
INSERT INTO production.categories(category_id,category_name) VALUES(1,'Children Bicycles')
INSERT INTO production.categories(category_id,category_name) VALUES(2,'Comfort Bicycles')
INSERT INTO production.categories(category_id,category_name) VALUES(3,'Cruisers Bicycles')

SET IDENTITY_INSERT production.categories OFF;  

SET IDENTITY_INSERT production.products ON;
INSERT INTO production.products(product_id, product_name, brand_id, category_id, model_year, list_price) VALUES(1,'Trek 820 - 2016',9,6,2016,379.99)
INSERT INTO production.products(product_id, product_name, brand_id, category_id, model_year, list_price) VALUES(2,'Ritchey Timberwolf Frameset - 2016',5,6,2016,749.99)
INSERT INTO production.products(product_id, product_name, brand_id, category_id, model_year, list_price) VALUES(3,'Surly Wednesday Frameset - 2016',8,6,2016,999.99)

SET IDENTITY_INSERT production.products OFF;

-- sales.customers table
INSERT INTO sales.customers(first_name, last_name, phone, email, street, city, state, zip_code) VALUES('Debra','Burks',NULL,'debra.burks@yahoo.com','9273 Thorne Ave. ','Orchard Park','NY',14127);
INSERT INTO sales.customers(first_name, last_name, phone, email, street, city, state, zip_code) VALUES('Kasha','Todd',NULL,'kasha.todd@yahoo.com','910 Vine Street ','Campbell','CA',95008);

-- stores

INSERT INTO sales.stores(store_name, phone, email, street, city, state, zip_code)
VALUES('Santa Cruz Bikes','(831) 476-4321','santacruz@bikes.shop','3700 Portola Drive', 'Santa Cruz','CA',95060),
      ('Baldwin Bikes','(516) 379-8888','baldwin@bikes.shop','4200 Chestnut Lane', 'Baldwin','NY',11432),
      ('Rowlett Bikes','(972) 530-5555','rowlett@bikes.shop','8000 Fairway Avenue', 'Rowlett','TX',75088);

-- production.stocks 
INSERT INTO production.stocks(store_id, product_id, quantity) VALUES(1,1,27);
INSERT INTO production.stocks(store_id, product_id, quantity) VALUES(1,2,5);
INSERT INTO production.stocks(store_id, product_id, quantity) VALUES(1,3,6);

SET IDENTITY_INSERT sales.staffs ON;  

INSERT INTO sales.staffs(staff_id, first_name, last_name, email, phone, active, store_id, manager_id) VALUES(1,'Fabiola','Jackson','fabiola.jackson@bikes.shop','(831) 555-5554',1,1,NULL);
INSERT INTO sales.staffs(staff_id, first_name, last_name, email, phone, active, store_id, manager_id) VALUES(2,'Mireya','Copeland','mireya.copeland@bikes.shop','(831) 555-5555',1,1,1);

SET IDENTITY_INSERT sales.orders OFF;  

INSERT INTO sales.order_items(order_id, item_id, product_id, quantity, list_price,discount) VALUES(1,1,20,1,599.99,0.2);
INSERT INTO sales.order_items(order_id, item_id, product_id, quantity, list_price,discount) VALUES(1,2,8,2,1799.99,0.07);
INSERT INTO sales.order_items(order_id, item_id, product_id, quantity, list_price,discount) VALUES(1,3,10,2,1549.00,0.05);

Create Table sales_summary

use BikeStores;

DROP TABLE IF EXISTS sales.sales_summary

-- Create a new table named sales.sales_summary
SELECT
    b.brand_name AS brand,
    c.category_name AS category,
    p.model_year,
    round(
        SUM (
            quantity * i.list_price * (1 - discount)
        ),
        0
    ) sales INTO sales.sales_summary
FROM
    sales.order_items i
INNER JOIN production.products p ON p.product_id = i.product_id
INNER JOIN production.brands b ON b.brand_id = p.brand_id
INNER JOIN production.categories c ON c.category_id = p.category_id
GROUP BY
    b.brand_name,
    c.category_name,
    p.model_year
ORDER BY
    b.brand_name,
    c.category_name,
    p.model_year;



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