Book Image

The MySQL Workshop

By : Thomas Pettit, Scott Cosentino
5 (1)
Book Image

The MySQL Workshop

5 (1)
By: Thomas Pettit, Scott Cosentino

Overview of this book

Do you want to learn how to create and maintain databases effectively? Are you looking for simple answers to basic MySQL questions as well as straightforward examples that you can use at work? If so, this workshop is the right choice for you. Designed to build your confidence through hands-on practice, this book uses a simple approach that focuses on the practical, so you can get straight down to business without having to wade through pages and pages of dull, dry theory. As you work through bite-sized exercises and activities, you'll learn how to use different MySQL tools to create a database and manage the data within it. You'll see how to transfer data between a MySQL database and other sources, and use real-world datasets to gain valuable experience of manipulating and gaining insights from data. As you progress, you'll discover how to protect your database by managing user permissions and performing logical backups and restores. If you've already tried to teach yourself SQL, but haven't been able to make the leap from understanding simple queries to working on live projects with a real database management system, The MySQL Workshop will get you on the right track. By the end of this MySQL book, you'll have the knowledge, skills, and confidence to advance your career and tackle your own ambitious projects with MySQL.
Table of Contents (22 chapters)
1
Section 1: Creating Your Database
6
Section 2: Managing Your Database
11
Section 3: Querying Your Database
16
Section 4: Protecting Your Database

Aggregating data

This is one of the most powerful aspects of the SQL language. To do this, we use the GROUP BY clause in a SELECT statement. This groups one or more rows together and reports values based on this group. MySQL has many functions that operate on a group of rows, one of which is MAX(), which gets the maximum value from the group. It is important to only ever use the columns on which you are grouping by and/or other columns with an aggregate function.

Consider this data in the following table:

Figure 4.23 – The sales table

Consider the following query:

SELECT region, SUM(sales) FROM sales GROUP BY region;

This outputs the following results:

Figure 4.24 – The SELECT output, demonstrating GROUP BY

This groups the rows by region, creating two groups, and then it sums the rows in each group.

Now, consider this query:

SELECT city, SUM(sales) FROM sales GROUP BY region;

This outputs the following...