Summary

MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

This document-oriented database was built for high availability, supports rich, dynamic schemas, and lets you easily distribute data across multiple servers. MongoDB 3.0 is flexible, scalable, and very fast, even with big data loads.

About the Book

MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers. Lots of examples will help you develop confidence in the crucial area of data modeling. You'll also love the deep explanations of each feature, including replication, auto-sharding, and deployment.

What's Inside

• Indexes, queries, and standard DB operations
• Aggregation and text searching
• Map-reduce for custom aggregations and reporting
• Deploying for scale and high availability
• Updated for Mongo 3.0

About the Reader

Written for developers. No previous MongoDB or NoSQL experience is assumed.

About the Authors

After working at MongoDB, Kyle Banker is now at a startup. Peter Bakkum is a developer with MongoDB expertise. Shaun Verch has worked on the core server team at MongoDB. A Genentech engineer, Doug Garrett is one of the winners of the MongoDB Innovation Award for Analytics. A software architect, Tim Hawkins has led search engineering at Yahoo Europe. Technical Contributor: Wouter Thielen. Technical Editor: Mihalis Tsoukalos.

Table of Contents

PART 1 GETTING STARTED

PART 2 APPLICATION DEVELOPMENT IN MONGODB

PART 3 MONGODB MASTERY

1. A database for the modern web
2. MongoDB through the JavaScript shell
3. Writing programs using MongoDB
4. Document-oriented data
5. Constructing queries
6. Aggregation
7. Updates, atomic operations, and deletes
8. Indexing and query optimization
9. Text search
10. WiredTiger and pluggable storage
11. Replication
12. Scaling your system with sharding
13. Deployment and administration