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Alice Zhao - SQL Pocket Guide: A Guide to SQL Usage

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Alice Zhao SQL Pocket Guide: A Guide to SQL Usage
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If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is the ideal on-the-job reference. Youll find many examples that address the languages complexities, along with key aspects of SQL used in Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, and SQLite. The updated edition describes how these database management systems implement SQL syntax for both querying and making changes to a database. Youll find details on data types and conversions, regular expression syntax, window functions, pivoting and unpivoting, and more. Quickly look up how to perform specific tasks using SQL Apply the books syntax examples to your own queries Update SQL queries to work in five different database management systems NEW: Connect Python and R to a relational database NEW: Look up frequently asked SQL questions in the How Do I? chapter The books example SQL statements execute against a set of tables, with data that you can quickly download.

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SQL Pocket Guide by Alice Zhao Copyright 2021 Alice Zhao All rights reserved - photo 1
SQL Pocket Guide

by Alice Zhao

Copyright 2021 Alice Zhao. 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). For more information, contact our corporate/institutional sales department: 800-998-9938 or corporate@oreilly.com .

  • Acquisitions Editor: Andy Kwan
  • Development Editor: Amelia Blevins and Jeff Bleiel
  • Production Editor: Caitlin Ghegan
  • Copyeditor: Piper Editorial Consulting, LLC
  • Proofreader: James Fraleigh
  • Indexer: Ellen Troutman-Zaig
  • Interior Designer: David Futato
  • Cover Designer: Karen Montgomery
  • Illustrator: Kate Dullea
  • September 2021: Fourth Edition
Revision History for the Fourth Edition
  • 2021-08-26: First Release

See https://oreil.ly/sqlpocketerrata for release details.

The OReilly logo is a registered trademark of OReilly Media, Inc. SQL Pocket Guide, 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.

978-1-492-09040-3

[LSI]

Preface
Why SQL?

Since the last edition of SQL Pocket Guide was published, a lot has changed in the data world. The amount of data generated and collected has exploded, and a number of tools and jobs have been created to handle the influx of data. Through all of the changes, SQL has remained an integral part of the data landscape.

Over the past 15 years, I have worked as an engineer, consultant, analyst, and data scientist, and I have used SQL in every one of my roles. Even if my main responsibilities were focused on another tool or skill, I had to know SQL in order to access data at a company.

If there was a programming language award for best supporting actor, SQL would take home the prize.

As new technologies emerge, SQL is still top of mind when it comes to working with data. Cloud-based storage solutions like Amazon Redshift and Google BigQuery require users to write SQL queries to pull data. Distributed data processing frameworks like Hadoop and Spark have sidekicks Hive and Spark SQL, respectively, which provide SQL-like interfaces for users to analyze data.

SQL has been around for almost five decades, and it is not going away anytime soon. It is one of the oldest programming languages still being used widely today, and I am excited to share the latest and greatest with you in this book.

Goals of This Book

There are many existing SQL books out there, ranging from ones that teach beginners how to code in SQL to detailed technical specifications for database administrators. This book is not intended to cover all SQL concepts in depth, but rather to be a simple reference for when:

  • Youve forgotten some SQL syntax and need to look it up quickly

  • Youve come across a slightly different set of database tools at a new job and need to look up the nuanced differences

  • Youve been focusing on another coding language for a while and need a quick refresher on how SQL works

If SQL plays a large supporting role in your job, then this is the perfect pocket guide for you.

Updates to the Fourth Edition

The third edition of the SQL Pocket Guide by Jonathan Gennick was published in 2010, and it was well received by readers. Ive made the following updates to the fourth edition:

  • The syntax has been updated for Microsoft SQL Server, MySQL, Oracle Database, and PostgreSQL. IBMs Db2 has been removed due to its decrease in popularity, and SQLite has been added due to its increase in popularity.

  • The third edition of this book was organized alphabetically. Ive rearranged the sections in the fourth edition so that similar concepts are grouped together. There is still an index at the end of this book that lists concepts alphabetically .

  • Due to the number of data analysts and data scientists who are now using SQL in their jobs, Ive added sections on how to use SQL with Python and R (popular open source programming languages), as well as a SQL crash course for those who need a quick refresher.

Frequently Asked (SQL) Questions

The last chapter of this book is called "" and it includes frequently asked questions by SQL beginners or those who havent used SQL in a while.

Its a good place to start if you dont remember the exact keyword or concept that youre looking for. Example questions include:

  • How do I find the rows containing duplicate values?

  • How do I select rows with the max value for another column?

  • How do I concatenate text from multiple fields into a single field?

Navigating This Book

This book is organized into three sections.

I. Basic Concepts
  • Chapters introduce basic keywords, concepts, and tools for writing SQL code.

  • breaks down each clause of a SQL query.

II. Database Objects, Data Types, and Functions
  • lists common ways to create and modify objects within a database.

  • lists common data types that are used in SQL.

  • lists common operators and functions in SQL.

III. Advanced Concepts
  • Chapters explain advanced querying concepts including joins, case statements, window functions, etc.

  • walks through solutions to some of the most commonly searched for SQL questions.

Conventions Used in This Book

The following typographical conventions are used in this book:

Italic

Indicates new terms, URLs, email addresses, filenames, and file extensions.

Constant width

Used for program listings, as well as within paragraphs to refer to program elements such as variable or function names, databases, data types, environment variables, statements, and keywords.

Constant width bold

Shows commands or other text that should be typed literally by the user, or values determined by context.

Tip

This element signifies a tip or suggestion.

Note

This element signifies a general note.

Warning

This element indicates a warning or caution.

Using Code Examples

If you have a technical question or a problem using the code examples, please send email to .

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