开发者指南：实践Cassandra核心技术

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"《Practical Cassandra: A Developer's Approach》是一本由Russell Bradberry和Eric Lubow合著的专业书籍，隶属于Addison Wesley Data & Analytics Series系列。该书于2013年12月29日出版，主要针对的是Cassandra数据库的实践应用，适合开发者深入理解和学习。Cassandra是一款分布式、开源的NoSQL数据库系统，特别适用于大规模、高并发和分布式环境下的数据存储和处理。书中详细讲解了Cassandra的核心概念、设计原则、架构以及开发者的实战技巧。它不仅涵盖了基础知识，如分布式一致性、分区策略、复制因子等，还深入探讨了Cassandra在实际项目中的部署、优化和故障恢复策略。作者通过实例和案例分析，帮助读者理解如何利用Cassandra解决大型数据系统的挑战，包括数据模型设计、性能调优和集群管理。此外，书中也提到了版权和免责声明，指出制造商和销售商使用的许多产品名称可能被注册为商标，且在本书中出现时已经尽可能标注。作者和出版社虽然对书的内容进行了精心准备，但不提供任何形式的明确或默示保证，也不承担因使用书中的信息或程序导致的偶然或间接损害的责任。对于批量购买、定制封面设计、电子版本特惠或根据业务需求、培训目标、市场焦点和品牌兴趣进行内容定制等特殊销售机会，读者可以咨询相关的购买信息。《Practical Cassandra: A Developer's Approach》是一本实用的指南，为Cassandra开发者提供了深入的实践指导，无论你是初次接触这个技术，还是想提升现有技能，都是值得参考的重要资源。"

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Foreword by Paul Dix

Cassandra is quickly becoming one of the backbone components for anyone working

with large datasets and real-time analytics. Its ability to scale horizontally to handle

hundreds of thousands (or millions) of writes per second makes it a great choice for

high-volume systems that must also be highly available. That’s why I’m very pleased that

this book is the first in the series to cover a key infrastructural component for the

Addison-Wesley Data & Analytics Series: the data storage layer.

In 2011, I was making my second foray into working with Cassandra to create a high-

volume, scalable time series data store. At the time, Cassandra 0.8 had been released, and

the path to 1.0 was fairly clear, but the available literature was lagging sorely behind. This

book is exactly what I could have used at the time. It provides a great introduction to

setting up and modeling your data in Cassandra. It has coverage of the most recent features,

including CQL, sets, maps, and lists. However, it doesn’t stop with the introductory stuff.

There’s great material on how to run a cluster in production, how to tune performance,

and on general operational concerns.

I can’t think of more qualified users of Cassandra to bring this material to you. Eric

and Russell are Datastax Cassandra MVPs and have been working extensively with

Cassandra and running it in production for years. Thankfully, they’ve done a great job of

distilling their experience into this book so you won’t have to search for insight into how

to develop against and run the most current release of Cassandra.

—Paul Dix, Series Editor

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Preface

Apache Cassandra is a massively scalable, open-source, NoSQL database. Cassandra is

best suited to applications that need to store large amounts of structured, semistructured,

and unstructured data. Cassandra offers asynchronous masterless replication to nodes in

many data centers. This gives it the capability to have no single point of failure while still

offering low latency operations.

When we first embarked on the journey of writing a book, we had one goal in mind:

We wanted to keep the book easily digestible by someone just getting started with

Cassandra, but also make it a useful reference guide for day-to-day maintenance, tuning,

and troubleshooting. We know the pain of scouring the Internet only to find outdated

and contrived examples of how to get started with a new technology. We hope that

Practical Cassandra will be the go-to guide for developers—both new and at an interme-

diate level—to get up and running with as little friction as possible.

This book describes, in detail, how to go from nothing to a fully functional Cassandra

cluster. It shows how to bring up a cluster of Cassandra servers, choose the appropriate

configuration options for the cluster, model your data, and monitor and troubleshoot any

issues. Toward the end of the book, we provide sample code, in-depth detail as to how

Cassandra works under the covers, and real-world case studies from prominent users.

What’s in This Book?

This book is intended to guide a developer in getting started with Cassandra, from instal-

lation to common maintenance tasks to writing an application. If you are just starting

with Cassandra, this book will be most helpful when read from start to finish. If you are

familiar with Cassandra, you can skip around the chapters to easily find what you need.

Chapter 1, Introduction to Cassandra: This chapter gives an introduction to

Cassandra and the philosophies and history of the project. It provides an overview

of terminology, what Cassandra is best suited for, and, most important what we

hope to accomplish with this book.

Chapter 2, Installation: Chapter 2 is the start-to-finish guide to getting Cassandra

up and running. Whether the installation is on a single node or a large cluster, this

chapter guides you through the process. In addition to cluster setup, the most

important configuration options are outlined.

Chapter 3, Data Modeling: Data modeling is one of the most important aspects of

using Cassandra. Chapter 3 discusses the primary differences between Cassandra

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Preface

and traditional RDBMSs, as well as going in depth into different design patterns,

philosophies, and special features that make Cassandra the data store of tomorrow.

Chapter 4, CQL: CQL is Cassandra’s answer to SQL. While not a full implementa-

tion of SQL, CQL helps to bridge the gap when transitioning from an RDBMS.

This chapter explores in depth the features of CQL and provides several real-world

examples of how to use it.

Chapter 5, Deployment and Provisioning: After you’ve gotten an overview of instal-

lation and querying, this chapter guides you through real-world deployment and

resource provisioning. Whether you plan on deploying to the cloud or on bare-

metal hardware, this chapter is for you. In addition to outlining provisioning in

various types of configurations, it discusses the impact of the different configuration

options and what is best for different types of workloads.

Chapter 6, Performance Tuning: Now that you have a live production cluster

deployed, this chapter guides you through tweaking the Cassandra dials to get the

most out of your hardware, operating system, and the Java Virtual Machine ( JVM).

Chapter 7, Maintenance: Just as with everything in life, the key to having a perfor-

mant and, more important, working Cassandra cluster is to maintain it properly.

Chapter 7 describes all the different tools that take the headache out of maintaining

the components of your system.

Chapter 8, Monitoring: Any systems administrator will tell you that a healthy sys-

tem is a monitored system. Chapter 8 outlines the different types of monitoring

options, tools, and what to look out for when administering a Cassandra cluster.

Chapter 9, Drivers and Sample Code: Now that you have a firm grasp on how to

manage and maintain your Cassandra cluster, it is time to get your feet wet. In

Chapter 9, we discuss the different drivers and driver features offered in various

languages. We then go for the deep dive by presenting a working example applica-

tion in not only one, but four of the most commonly used languages: Java, C#,

Ruby, and Python.

Chapter 10, Troubleshooting: Now that you have written your sample application,

what happens when something doesn’t quite work right? Chapter 10 outlines the

tools and techniques that can be used to get your application back on the fast track.

Chapter 11, Architecture: Ever wonder what goes on under the Cassandra “hood”?

In this chapter, we discuss how Cassandra works, how it keeps your data safe and

accurate, and how it achieves such blazingly fast performance.

Chapter 12, Case Studies: So who uses Cassandra, and how? Chapter 12 presents

three case studies from forward-thinking companies that use Cassandra in unique

ways. You will get the perspective straight from the mouths of the developers at

Ooyala, Hailo, and eBay.

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