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

Aggregation

In Chapter 6Multi-Document ACID Transactions, we worked through two use cases of new transactional capabilities using the code for Ruby and Python. In this chapter, we will dive deeper into the aggregation framework, learning how it can be useful. Additionally, we will look at the aggregation operators that are supported by MongoDB.

Following that, we will learn about the time series collections, which were introduced in version 5 and greatly expanded in version 6. Next, we will learn about MongoDB views, which are similar to traditional database materialized views.

Finally, we will discuss the most major aggregation pipeline limitations and bring everything together with a sample aggregation use case.

To learn this information, we will use aggregations to process transaction data from the Ethereum blockchain. The complete source code is available at https://github.com/PacktPublishing/Mastering-MongoDB-6.x.

In this chapter, we will cover the following...