Optimizing the Database by Creating Indexes

Now, when you know how to build a database, let's learn how to optimize its read (and search) operations. In this task, you need to create some indexes for a ShopDB online shop database, which has the following tables:

- `Products`, which has the following columns: `ID`, `Name`, `Description`, `Price`, and `WarehouseAmount`. 
- `Customers`, which has the following columns: `ID`, `FirstName`, `LastName`, `Email`, and `Address`. 
- `Orders`, which has the following columns: `ID`, `CustomerID`, and `Date`.
- `OrderItems`, which has the following columns: `ID`, `OrderID`, and `ProductID`.

The ShopDB is used by the web application. Each time a web application needs to read data stored in the database, it runs an SQL query on the database server.

Online Shop Usage Scenarios

• A company that owns a shop does not invest much in marketing. The shop is used by the existing customer base, which is not rapidly expanding.
• To use the shop, customers need to log in, entering their email. When a customer logs in, the application checks the Customers table for the Email user entered; if it's there, the user can log in and create new orders.
• Each day, the online shop receives at least 100 new orders.
• Each time a customer opens the online shop page, they list all the available products. Customers who are interested in any particular product search for it by its Name.
• Products are updated in the database once a year.

Task

Prerequisites

1. Install and configure a MySQL database server on a Virtual Machine, connect to it with the MySQL client.
2. Fork this repository.

Requirements

In this task, you need to analyze the online shop usage and, based on that, create indexes for some of the database tables:

1. Connect to your database server and create the ShopDB database using the SQL script in the create-database.sql file.
2. Analyze the usage scenario above and create indexes for the tables and columns, which, in your opinion, require that. Save the code for creating indexes into the task.sql file and submit the solution for review. Indexes should be named the same as the columns for which you create the indexes.

How to Test Yourself

Just in case you want to test your script on your database before submitting a pull request, you can do it by performing the following actions:

1. Run the script you wrote in the task.sql on your database server.
2. Make sure all tables in the database are empty.
3. Run the test.sql script on your database. If the script execution is finished without errors, you are ready to submit a pull request.