Book Image

Mastering MongoDB 7.0 - Fourth Edition

By : Marko Aleksendrić, Arek Borucki, Leandro Domingues, Malak Abu Hammad, Elie Hannouch, Rajesh Nair, Rachelle Palmer
5 (2)
Book Image

Mastering MongoDB 7.0 - Fourth Edition

5 (2)
By: Marko Aleksendrić, Arek Borucki, Leandro Domingues, Malak Abu Hammad, Elie Hannouch, Rajesh Nair, Rachelle Palmer

Overview of this book

Mastering MongoDB 7.0 explores the latest version of MongoDB, an exceptional NoSQL database solution that aligns with the needs of modern web applications. This book starts with an informative overview of MongoDB’s architecture and developer tools, guiding you through the process of connecting to databases seamlessly. This MongoDB book explores advanced queries in detail, including aggregation pipelines and multi-document ACID transactions. It delves into the capabilities of the MongoDB Atlas developer data platform and the latest features, such as Atlas Vector Search, and their role in AI applications, enabling developers to build applications with the scalability and performance that today’s organizations need. It also covers the creation of resilient search functionality using MongoDB Atlas Search. Mastering MongoDB 7.0’s deep coverage of advanced techniques encompasses everything from role-based access control (RBAC) to user management, auditing practices, and encryption across data, network, and storage layers. By the end of this book, you’ll have developed the skills necessary to create efficient, secure, and high-performing applications using MongoDB. You’ll have the confidence to undertake complex queries, integrate robust applications, and ensure data security to overcome modern data challenges.
Table of Contents (20 chapters)
4
Chapter 4: Connecting to MongoDB

Working set calculations

The working set in MongoDB is a vital concept that pertains to the amount of data and indexes that a database accesses over a specific period. This data should ideally be held in the system's RAM to guarantee optimal performance. When it comes to database performance, understanding your working set is pivotal. While MongoDB is capable of managing vast datasets, the speed of data retrieval is significantly affected by whether the data is accessed directly from the RAM or fetched from a disk. Accessing data from the RAM is exponentially faster, which is why the working set—data that is frequently accessed—should ideally reside in memory.

Why is the working set crucial?

As your MongoDB instance serves requests, it tends to pull the required data into RAM. Over time, the most frequently accessed data—your working set—naturally find its place in memory. If this working set fits comfortably in RAM, your database performance...