alenatovstukha / rda_task_5_stored_procedures

Stored procedures

Stored procedures may be useful for storing the SQL code, which can be re-used by different applications of for performing calculations on the database server. In this task you will work with the new version of a ShopDB database for online store. The database has the following tables:

• Countries, which has the following columns: ID, Name.
• Products, which has the following columns: ID, Name.
• Warehouses, which has the following columns: ID, Name, Address, CountryID
• ProductInventory, which has the following columns: ID, ProductID, WarehouseAmount and WarehouseID.

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 develop a stored procedure, which will show the information about amount of products by a warehouse.For that, you need to write the SQL code in the file task.sql:

• Connect to your database server.
• If you already have the ShopDB database on your database server from the previous tasks, delete it using the "DROP DATABASE ShopDB;" statement.
• Write a code for the stored procedure creation in the task.sql.

The stored procedure should meet the following requirements:

• It should be called get_warehouse_product_inventory
• It should accept single parameter - ID of the Warehouse
• It should return a table, which has a list of product names, allong with their amount on the warehouse.

Hint: use SELECT statement with Join in the stored procedure body.

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. Drop the ShopDB database using "DROP DATABASE ShopDB;" statement if you already have it on your database server.
2. Run database creation script create-database.sql on your database server.
3. Run the script you wrote in the task.sql on your database server.
4. Run the test.sql script on your database. If the script execution is finished without errors and if in the output you are getting only 1 item ("AwersomeProduct", count - 4242) you are ready to submit a pull request.