Book Image

Mastering MongoDB 6.x - Third Edition

By : Alex Giamas
Book Image

Mastering MongoDB 6.x - Third Edition

By: Alex Giamas

Overview of this book

MongoDB is a leading non-relational database. This book covers all the major features of MongoDB including the latest version 6. MongoDB 6.x adds many new features and expands on existing ones such as aggregation, indexing, replication, sharding and MongoDB Atlas tools. Some of the MongoDB Atlas tools that you will master include Atlas dedicated clusters and Serverless, Atlas Search, Charts, Realm Application Services/Sync, Compass, Cloud Manager and Data Lake. By getting hands-on working with code using realistic use cases, you will master the art of modeling, shaping and querying your data and become the MongoDB oracle for the business. You will focus on broadly used and niche areas such as optimizing queries, configuring large-scale clusters, configuring your cluster for high performance and availability and many more. Later, you will become proficient in auditing, monitoring, and securing your clusters using a structured and organized approach. By the end of this book, you will have grasped all the practical understanding needed to design, develop, administer and scale MongoDB-based database applications both on premises and on the cloud.
Table of Contents (22 chapters)
1
Part 1 – Basic MongoDB – Design Goals and Architecture
4
Part 2 – Querying Effectively
11
Part 3 – Administration and Data Management
16
Part 4 – Scaling and High Availability

Mastering Sharding

Sharding is the ability to horizontally scale out our database by partitioning our datasets across different servers—shards. This has been a feature of MongoDB since version 1.6 (v1.6) was released in August 2010. Foursquare and Bitly are two of MongoDB’s most famous early customers and have used the sharding feature from its inception all the way to its general release.

In this chapter, we will learn about the following topics:

  • How to design a sharding cluster and how to make the important decision of choosing the shard key
  • Different sharding techniques and how to monitor and administrate sharded clusters
  • The mongos router and how it is used to route our queries across different shards
  • How we can recover from errors in our shards

By the end of this chapter, we will have mastered the underlying theory and concepts as well as the practical implementation of sharding using MongoDB.

This chapter covers...