Book Image

MongoDB Cookbook - Second Edition - Second Edition

By : Amol Nayak
Book Image

MongoDB Cookbook - Second Edition - Second Edition

By: Amol Nayak

Overview of this book

MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of the systems that power many different organizations – it’s easy to see why it’s the most popular NoSQL database on the market. Packed with many features that have become essential for many different types of software professionals and incredibly easy to use, this cookbook contains many solutions to the everyday challenges of MongoDB, as well as guidance on effective techniques to extend your skills and capabilities. This book starts with how to initialize the server in three different modes with various configurations. You will then be introduced to programming language drivers in both Java and Python. A new feature in MongoDB 3 is that you can connect to a single node using Python, set to make MongoDB even more popular with anyone working with Python. You will then learn a range of further topics including advanced query operations, monitoring and backup using MMS, as well as some very useful administration recipes including SCRAM-SHA-1 Authentication. Beyond that, you will also find recipes on cloud deployment, including guidance on how to work with Docker containers alongside MongoDB, integrating the database with Hadoop, and tips for improving developer productivity. Created as both an accessible tutorial and an easy to use resource, on hand whenever you need to solve a problem, MongoDB Cookbook will help you handle everything from administration to automation with MongoDB more effectively than ever before.
Table of Contents (17 chapters)
MongoDB Cookbook Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Domain-driven sharding using tags


The recipes Starting a simple sharded environment of two shards and Connecting to a shard in the shell and performing operations in Chapter 1, Installing and Starting the Server explained how to start a simple two server shard and then insert data in a collection after choosing a shard key. The data that gets sharded is more technical where the data chunk is kept to a manageable size by Mongo by splitting it into multiple chunks and migrating the chunks across shards to keep the chunk distribution even across shards. But what if we want the sharding to be more domain oriented? Suppose we have a database for storing postal addresses and we shard based on postal codes where we know the postal code range of a city. What we can do is tag the shard servers according to the city name as the tag, add shard range (postal codes), and associate this range with the tag. This way, we can state which servers can contain the postal addresses of which cities. For instance...