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

Limitations

The aggregation pipeline can output results in the following three distinct ways:

  • Inline as a document containing the result set
  • In a collection
  • Returning a cursor to the result set

Inline results are subject to a BSON maximum document size of 16 MB, meaning that we should use this only if our final result is of a fixed size. An example of this would be outputting ObjectId values of the top five most ordered items from an e-commerce site.

A contrary example to this would be outputting the top 1,000 most ordered items, along with the product information, including a description and various other fields of variable size.

Outputting results into a collection is the preferred solution if we want to perform further processing of the data. We can either output into a new collection or replace the contents of an existing collection. The aggregation output results will only be visible once the aggregation command succeeds; otherwise, it will...