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

Summary

In this chapter, we learned about the foundations of indexing and index internals. We then explored how to use the different index types available in MongoDB, such as single-field, compound, and multikey, as well as some special types, such as text, hashed, TTL, partial, parse, unique, case-insensitive, and geospatial.

In the next part of the chapter, we learned how to build and manage indexes using the shell, which is a basic part of administration and database management, even for NoSQL databases. Finally, we discussed how to improve our indexes at a high level, and also how we can use index intersection in practice to consolidate the number of indexes.

In the next chapter, we will discuss how we can monitor our MongoDB cluster and keep consistent backups. We will also learn how to handle security in MongoDB.