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Accumulo by Billie Rinaldi, Aaron Cordova, Michael Wall

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Preface

Goals and Audience

We have designed this book to gather in a single place our community’s collective knowledge of how best to use Apache Accumulo. This includes some history and background on the Accumulo project, how to configure and tune an Accumulo instance, and much about how to write applications using Accumulo. This book should help you get started with Accumulo, as well as provide a reference for those already familiar with it.

Those new to distributed applications will find an overview of why data stores such as Accumulo have become popular in recent years. People looking to write applications using Accumulo will find detailed information about its API as well as common design patterns and motivations behind various uses of Accumulo. Administrators of Accumulo will learn basic through advanced configuration options, including tips for tuning Accumulo for better performance. Even experienced Accumulo users are likely to find some information in these pages that they have not encountered before.

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.

Constant width italic

Shows text that should be replaced with user-supplied values or by 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

Supplemental material (code examples, exercises, etc.) is available for download at https://github.com/accumulobook. Please also see the website we made for this book at https://accumulobook.com.

This book is here to help you get your job done. In general, if example code is offered with this book, you may use it in your programs and documentation. You do not need to contact us for permission unless you’re reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission. Selling or distributing a CD-ROM of examples from O’Reilly books does require permission. Answering a question by citing this book and quoting example code does not require permission. Incorporating a significant amount of example code from this book into your product’s documentation does require permission.

We appreciate, but do not require, attribution. An attribution usually includes the title, author, publisher, and ISBN. For example: “Accumulo: Application Development, Table Design, and Best Practices by Aaron Cordova, Billie Rinaldi, and Michael Wall (O’Reilly). Copyright 2015 Aaron Cordova, Billie Rinaldi, Michael Wall, 978-1-449-37418-1.”

If you feel your use of code examples falls outside fair use or the permission given above, feel free to contact us at .

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We have a web page for this book, where we list errata, examples, and any additional information. You can access this page at http://bit.ly/accumulo_1e.

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Acknowledgments

We would like to thank our technical reviewers, Josh Elser, Eric Newton, and Christopher Tubbs, without whom this book would have been less accurate and more difficult to read. We would also like to thank the many people who gave us feedback on this book, including but not limited to Sterling Foster, Alan Mangan, Jeremy Kepner, Tessa Cordova, David Barker, Al Krinker, Alex Moundalexis, Clint Green, David Perry, Christina Wall, and Rebecca Derry.

Thanks also to GroupLens Research at the University of Minnesota for use of the MovieLens data set for our examples.

Finally, we would like to thank the Apache Accumulo community—all the developers and users who have contributed to making Accumulo a fantastically stable, fast, and useful data store.

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