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

Indexes and query optimization

Indexes in MongoDB are specialized data structures that play a crucial role in enhancing query efficiency. Without these indexes, MongoDB would have to sift through every document in a collection for query results. An available index can drastically reduce the number of documents MongoDB examines.

Benefits of using indexes

The benefits of indexes include the following:

  • Performance boost: Indexes significantly speed up data retrieval operations, reducing the need to scan every document in a collection.
  • Reduced load: By accelerating search queries, indexes decrease the system's workload, leading to better resource utilization.
  • Sort efficiency: Indexes support efficient sorting operations, allowing results to be ordered without extra computational effort.
  • Support for complex queries: Advanced query operations, such as geospatial searches or text- based searches, are made possible and efficient through specialized indexes.
  • ...