Alan Beaulieu - Learning SQL: Generate, Manipulate, and Retrieve Data
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- Book:Learning SQL: Generate, Manipulate, and Retrieve Data
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Each chapter presents a self-contained lesson on a key SQL concept or technique using numerous illustrations and annotated examples. Exercises at the end of each chapter let you practice the skills you learn. Knowledge of SQL is a must for interacting with data. With Learning SQL, youll quickly learn how to put the power and flexibility of this language to work.
With this book, youll:
Move quickly through SQL basics and learn several advanced features
Use SQL data statements to generate, manipulate, and retrieve data
Create database objects, such as tables, indexes, and constraints, using SQL schema statements
Learn how datasets interact with queries and understand the importance of subqueries
Convert and manipulate data with SQLs built-in functions and use conditional logic in data statements
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by Alan Beaulieu
Copyright 2020 Alan Beaulieu. All rights reserved.
Printed in the United States of America.
Published by OReilly Media, Inc. , 1005 Gravenstein Highway North, Sebastopol, CA 95472.
OReilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://oreilly.com/safari). For more information, contact our corporate/institutional sales department: 800-998-9938 or corporate@oreilly.com .
- Acquisitions Editor: Jessica Haberman
- Development Editor: Jeff Bleiel
- Production Editor: Deborah Baker
- Interior Designer: David Futato
- Cover Designer: Karen Montgomery
- Illustrator: Rebecca Demarest
- May 2020: Third Edition
- 2019-12-11: First Release
See http://oreilly.com/catalog/errata.csp?isbn=9781492057611 for release details.
The OReilly logo is a registered trademark of OReilly Media, Inc. Learning SQL, the cover image, and related trade dress are trademarks of OReilly Media, Inc.
The views expressed in this work are those of the author, and do not represent the publishers views. While the publisher and the author have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the author disclaim all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is subject to open source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights.
978-1-492-05754-3
[LSI]
Programming languages come and go constantly, and very few languages in use today have roots going back more than a decade or so. Some examples are Cobol, which is still used quite heavily in mainframe environments, and C, which is still quite popular for operating system and server development and for embedded systems. In the database arena, we have SQL, whose roots go all the way back to the 1970s.
SQL is the language for generating, manipulating, and retrieving data from a relational database. One of the reasons for the popularity of relational databases is that properly designed relational databases can handle huge amounts of data. When working with large data sets, SQL is akin to one of those snazzy digital cameras with the high-power zoom lens in that you can use SQL to look at large sets of data, or you can zoom in on individual rows (or anywhere in between). Other database management systems tend to break down under heavy loads because their focus is too narrow (the zoom lens is stuck on maximum), which is why attempts to dethrone relational databases and SQL have largely failed. Therefore, even though SQL is an old language, it is going to be around for a lot longer and has a bright future in store.
If you are going to work with a relational database, whether you are writing applications, performing administrative tasks, or generating reports, you will need to know how to interact with the data in your database. Even if you are using a tool that generates SQL for you, such as a reporting tool, there may be times when you need to bypass the automatic generation feature and write your own SQL statements.
Learning SQL has the added benefit of forcing you to confront and understand the data structures used to store information about your organization. As you become comfortable with the tables in your database, you may find yourself proposing modifications or additions to your database schema.
The SQL language is broken into several categories. Statements used to create database objects (tables, indexes, constraints, etc.) are collectively known as SQL schema statements. The statements used to create, manipulate, and retrieve the data stored in a database are known as the SQL data statements. If you are an administrator, you will be using both SQL schema and SQL data statements. If you are a programmer or report writer, you may only need to use (or be allowed to use) SQL data statements. While this book demonstrates many of the SQL schema statements, the main focus of this book is on programming features.
With only a handful of commands, the SQL data statements look deceptively simple. In my opinion, many of the available SQL books help to foster this notion by only skimming the surface of what is possible with the language. However, if you are going to work with SQL, it behooves you to understand fully the capabilities of the language and how different features can be combined to produce powerful results. I feel that this is the only book that provides detailed coverage of the SQL language without the added benefit of doubling as a door stop (you know, those 1,250-page complete references that tend to gather dust on peoples cubicle shelves).
While the examples in this book run on MySQL, Oracle Database, and SQL Server, I had to pick one of those products to host my sample database and to format the result sets returned by the example queries. Of the three, I chose MySQL because it is freely obtainable, easy to install, and simple to administer. For those readers using a different server, I ask that you download and install MySQL and load the sample database so that you can run the examples and experiment with the data.
This book is divided into 15 chapters and 3 appendixes:
, explores the history of computerized databases, including the rise of the relational model and the SQL language.
, demonstrates how to create a MySQL database, create the tables used for the examples in this book, and populate the tables with data.
, introduces the
selectstatement and further demonstrates the most common clauses (select,from,where).
, demonstrates the different types of conditions that can be used in the
whereclause of aselect,update, ordeletestatement.
, shows how queries can utilize multiple tables via table joins.
, is all about data sets and how they can interact within queries.
, demonstrates several built-in functions used for manipulating or converting data.
, shows how data can be aggregated.
, introduces the subquery (a personal favorite) and shows how and where they can be utilized.
, further explores the various types of table joins.
, explores how conditional logic (i.e., if-then-else) can be utilized in
select,insert,update, anddeletestatements.
, introduces transactions and shows how to use them.
, explores indexes and constraints.
, shows how to build an interface to shield users from data complexities.
, demonstrates the utility of the data dictionary.
Appendix A shows the database schema used for all examples in the book.
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