Chuck Lam的《Hadoop in Action》中文版：入门与参考指南

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"《Hadoop in Action》是由Chuck Lam撰写的一本面向实战的Hadoop入门指南，这本书是Manning出版社的作品。作者以其深入浅出的方式介绍了Hadoop这一开源大数据处理框架，适合那些希望理解和掌握分布式计算、MapReduce、HDFS（Hadoop分布式文件系统）以及HBase等关键组件的读者。书中不仅涵盖了理论知识，还提供了大量的实战示例，帮助读者通过实际操作来理解Hadoop的工作原理和应用。作为一本中文版书籍，它在内容上的翻译相对准确，尽管排版存在一些小瑕疵，但这并不影响其作为学习资料的价值。书中还提到了曼宁出版社的在线购买渠道以及订购优惠信息，读者可以通过www.manning.com获取更多关于本书和其他Manning出版物的信息。此外，版权信息表明，未经出版社许可，任何形式的复制、存储或传输都是禁止的。 Hadoop的许多特性如其可扩展性、容错性和高效的数据处理能力，使得它在大数据时代备受瞩目。Hadoop的生态包括Hive（SQL查询语言）、Pig（数据流编程语言）和Spark（实时数据处理框架），这些工具都在书中有所介绍，让读者能够全面理解Hadoop技术栈。本书特别强调实践，鼓励读者通过编写代码和搭建环境来学习，这对于提升数据处理技能和理解分布式计算架构至关重要。对于IT专业人员，无论是数据分析师、系统管理员还是开发人员，都可以从这本书中受益匪浅，因为它可以帮助他们更好地应对大数据挑战，实现企业级的数据处理和分析。《Hadoop in Action》是一本实用的Hadoop入门指南，无论是初学者还是有一定经验的开发者，都可以借此深入了解和掌握Hadoop的核心技术，提升大数据处理能力。"

acknowledgments

Many people have inspired and made contributions to this book. First and foremost

I want to thank James Warren. He led analytics at RockYou, and together we evange-

lized the use of Hadoop throughout the organization. I learned a lot from him, and

he even lent a hand in some of the initial writings.

I’ve been lucky to have many people contribute interesting case studies from

outside the Web 2.0 industry. For this I need to thank Zhiguo Luo, Meng Xu, Shaoling

Sun, Ken MacInnis, Ryan Rawson, Vuk Ercegovac, Rajasekar Krishnamurthy,

Sriram Raghavan, Frederick Reiss, Eugene Shekita, Sandeep Tata, Shivakumar

Vaithyanathan, and Huaiyu Zhu.

I also want to thank the many reviewers of this book. They provided valuable

feedback to my early drafts. In particular, Paul O’Rorke was the technical reviewer

that went beyond his call of duty and made some wonderful suggestions on how

to make the manuscript better. I look forward to seeing him author his own book

at some point. I also enjoyed many long chats with Jonathan Cao. His expertise in

databases and large-scale systems provided a broad perspective to understanding

the capabilities of Hadoop.

The other reviewers who read the manuscript numerous times during

development and whom I’d like to thank for their invaluable feedback include

the following: Paul Stusiak, Philipp K. Janert, Amin Mohammed-Coleman, John

S. Grifﬁn, Marco Ughetti, Rick Wagner, Kenneth DeLong, Josh Patterson, Srini

Penchikala, Costantino Cerbo, Steve Loughran, Ara Abrahamian, Ben Hall,

Andrew Siemer, Robert Hanson, Keith Kim , Sopan Shewale, Marion Sturtevant,

Chris Chandler, Eric Raymond, and Jeroen Benckhuijsen.

ABOUT THIS BOOK xviii

This book assumes the reader will have a basic familiarity with Java, as most code

examples will be written in Java. Familiarity with basic statistical concepts (e.g.,

histogram, correlation) will help the reader appreciate the more advanced data

processing examples.

Roadmap

The book has 12 chapters divided into three parts.

Part 1 consists of three chapters which introduce the Hadoop framework, covering

the basics you’ll need to understand and use Hadoop. The chapters describe the

hardware components that make up a Hadoop cluster, as well as the installation and

conﬁguration to create a working system. Part 1 also covers the MapReduce framework

at a high level and gets your ﬁrst MapReduce program up and running.

Part 2, “Hadoop in action,” consists of ﬁve chapters that teach the practical skills

required to write and run data processing programs in Hadoop. In these chapters we

explore various examples of using Hadoop to analyze a patent data set, including advanced

algorithms such as the Bloom ﬁlter. We also cover programming and administration

techniques that are uniquely useful to working with Hadoop in production.

Part 3 is called “Hadoop gone wild” and the ﬁnal four chapters of the book explore

the larger ecosystem around Hadoop. Cloud services provide an alternative to buying

and hosting your own hardware to create a Hadoop cluster and any add-on packages

provide higher-level programming abstractions over MapReduce. Finally, we look at

several case studies where Hadoop solves real business problems in practice.

An appendix contains a listing of HDFS commands along with their descriptions

and usage.

Code conventions and downloads

All source code in listings or in text is in a ﬁxed-width font like this to separate

it from ordinary text. Code annotations accompany many of the listings, highlighting

important concepts. In some cases, numbered bullets link to explanations that follow

the listing.

The code for the examples in this book is available for download from the publisher’s

website at www.manning.com/HadoopinAction.

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