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The Official MongoDB Guide

You're reading from The Official MongoDB Guide Resilience, scalability, security and performance

Product type Paperback

Published in Sep 2025

Publisher Packt

ISBN-13 9781837021970

Length 368 pages

Edition 1st Edition

Languages

JavaScript

Tools

MongoDB

Concepts

Data Engineering

Authors (7):

Rachelle Palmer

Jeffrey Allen

Parker Faucher

Alison Huh

Lander Kerbey

Maya Raman

Lauren Tran

+3 more

View More author details

Table of Contents (12) Chapters

Preface

1. Introduction to MongoDB

2. MongoDB Architecture FREE CHAPTER

3. Developer Tools

4. Data Modeling and Index Optimization

5. Queries

6. Database Operations

7. Security

8. MongoDB Atlas

9. Atlas Search

10. Other Books You May Enjoy

11. Index

Queries

MongoDB offers a powerful and flexible query system designed for working with semi-structured, hierarchical data stored in BSON format. As a document-oriented NoSQL database, MongoDB allows for expressive and dynamic queries that go well beyond simple key-value lookups. Its query engine is optimized for a wide range of workloads, including operational data access, analytical processing, and real-time application use cases.

At its foundation, MongoDB supports standard create, read, update, and delete (CRUD), executed through an intuitive, JSON-like syntax that makes working with nested documents and arrays straightforward. Queries can be composed using field-level operators, logical expressions, regular expressions, and geospatial criteria, among others.

This chapter covers the following topics:

MongoDB CRUD operations
CRUD operations with mongosh and PyMongo
Batch operations with mongosh
Advanced queries and aggregations
Query shapes...

The rest of the chapter is locked

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Authors (7)

Rachelle Palmer

Rachelle Palmer

Rachelle Palmer is the Product Leader for Developer Database Experience and Developer Education at MongoDB, overseeing the driver client libraries, documentation, framework integrations, and MongoDB University. She has built sample applications for MongoDB in Java, PHP, Rust, Python, Node.js, and Ruby. Rachelle joined MongoDB in 2013 and was previously the Director of the Technical Services Engineering team, creating and managing the team that provided support and CloudOps to MongoDB Atlas.

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Jeffrey Allen

Jeffrey Allen

Jeffery Allen is a Technical Writer at MongoDB, based in the New York City area. He focuses on server documentation and works closely with Product and Engineering teams to develop examples that reflect real-world use cases, especially pertaining to data modeling and the MongoDB query language. Before joining MongoDB, Jeff worked as a full-stack web developer. Jeff also enjoys playing guitar and piano and produces electronic music in his spare time.

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Parker Faucher

Parker Faucher

Parker Faucher is a self-taught Software Engineer with over six years of experience in technical education. He has authored more than 100 educational videos for MongoDB, establishing himself as a knowledgeable resource in database technologies. Currently, Parker focuses on Artificial Intelligence and Search technologies, exploring innovative solutions in these rapidly evolving fields. When not advancing his technical expertise, Parker enjoys spending quality time with his family and maintains an avid interest in collecting comic books.

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Alison Huh

Alison Huh

Alison Huh is a New York City-based Technical Writer on MongoDB's server documentation team. In addition to the core database, she focuses on documenting MongoDB user tools such as Compass, Mongosync, and IDE extensions. Outside of MongoDB, Alison is currently pursuing her M.A. in Instructional Technology and Media at Teachers College, Columbia University, exploring the intersections of design, digital media, and learning. In her free time, Alison loves going on runs, crafting small trinkets, and experiencing live music.

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Lander Kerbey

Lander Kerbey

Lander Kerbey is a Technical Writer at MongoDB, specializing in Atlas Stream Processing. Prior to MongoDB, he worked at InterSystems, documenting various parts of the HealthShare suite, along with their various data analytics tools. His 11 years of experience as an educator informs his approach to documentation, as he strives to create “Aha!” moments for users.

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Maya Raman

Maya Raman

Maya Raman is a Technical Writer and sometimes-software engineer at MongoDB. She is passionate about the intersections between the environment, art and literature, technology, and people. She is based in New York City and likes to spend her time hanging out in Prospect Park, even in winter.

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Lauren Tran

Lauren Tran

Lauren Tran is a Technical Writer at MongoDB with a background in Communications and Computer Science. She is on the Server Documentation team and mainly specializes in Information Architecture, Time Series data, and Search. Lauren is passionate about creating accessible and inclusive documentation that caters to diverse audiences. She is based in Chicago following four years in New York City and in her free time, enjoys reading on the beach at Lake Michigan and listening to Taylor Swift music.

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