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Mastering MongoDB 7.0

Mastering MongoDB 7.0

By : Marko Aleksendrić, Arek Borucki, Leandro Domingues, Malak Abu Hammad, Elie Hannouch, Rajesh Nair, Rachelle Palmer
5 (12)
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Mastering MongoDB 7.0

Mastering MongoDB 7.0

5 (12)
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)
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4
Chapter 4: Connecting to MongoDB

Aggregation stages

An aggregation stage represents a specific step in the pipeline where the data transformation process takes place. Each stage processes data and outputs documents that can be further processed by the subsequent stages.

Let's explore some key stages that act as the building blocks of a pipeline:

  • $match: Use $match to filter the documents so that only those that meet the specified condition(s) are passed to the next pipeline stage. This stage should be used early in the pipeline, because filtering out unnecessary documents leads to processing only the relevant documents in the following stages, leading to significant performance improvements.

Example: Find all users older than 22.

Input

[
  { "_id": 1, "name": "Alice", "age": 21 },
  { "_id": 2, "name": "Bob", "age": 25 },
  { "_id": 3, "name": "Charlie...

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