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Scaling Mongodbby Kristina Chodorow
Synopses & Reviews
Create a MongoDB cluster that will grow to meet the needs of your application. With this short and concise book, you'll get guidelines for setting up and using clusters to store a large volume of data, and learn how to access the data efficiently. In the process, you'll understand how to make your application work with a distributed database system.
Scaling MongoDB will help you:
By following the advice in this book, you'll be well on your way to building and running an efficient, predictable distributed system using MongoDB.
Book News Annotation:
This guide to advanced clustering features for the MongoDB open source database provides information for understanding and implementing scalable distributed databases quickly and easily. The work assume that the user has a working knowledge of MongoDB in a single server configuration, and focuses on the linking of additional servers and the automated data and load balancing processes of MongoDB. The work begins with an overview of clustering and provides specific information on setting up the cluster, cluster workflow and distributed database administration. Access to additional online resources, including sample code, is provided. Chodorow is a database engineer and a contributor to the MongoDB project. Annotation ©2011 Book News, Inc., Portland, OR (booknews.com)
Learn how to create large MongoDB clusters! Shows how to use MongoDB efficiently for very large databases. Covers sharding, cluster setup, and administration.
About the Author
Kristina Chodorow, a software engineer at 10gen, is a core contributor to the MongoDB project and has worked on the database server, PHP driver, Perl driver, and many other areas. Shes given talks at conferences around the world, including OSCON, LinuxCon, FOSDEM, and Latinoware.
Table of Contents
Preface; Conventions Used in This Book; Using Code Examples; Safari® Books Online; How to Contact Us; Chapter 1: Welcome to Distributed Computing!; 1.1 What Is Sharding?; Chapter 2: Understanding Sharding; 2.1 Splitting Up Data; 2.2 Balancing; 2.3 mongos; 2.4 The Config Servers; 2.5 The Anatomy of a Cluster; Chapter 3: Setting Up a Cluster; 3.1 Choosing a Shard Key; 3.2 Sharding a New Collection; 3.3 Sharding an Existing Collection; 3.4 Adding and Removing Capacity; Chapter 4: Working With a Cluster; 4.1 Querying; 4.2 "Why Am I Getting This?"; 4.3 MapReduce; Chapter 5: Administration; 5.1 Using the Shell; 5.2 Monitoring; 5.3 Backups; 5.4 Suggestions on Architecture; 5.5 What to Do When Things Go Wrong; Chapter 6: Further Reading;
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Computers and Internet » Database » Applications