Book Image

Mastering MongoDB 7.0 - Fourth Edition

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

Mastering MongoDB 7.0 - Fourth Edition

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

Summary

MongoDB Atlas Search is a powerful, integrated full-text search solution that simplifies the development of relevance-based application features, and ensures real-time data synchronization. Its seamless integration with MongoDB Atlas and Apache Lucene provides a streamlined and efficient solution for implementing full-text search functionality.

Atlas Search features, such as rich query DSL, fuzzy search, synonyms, custom scoring, a visual editor, autocomplete, fast faceting, and highlighting, allow you to build sophisticated search logic, return relevant search results despite typos or spelling errors, define similar search terms, control how search results are scored and ranked, and more.

Atlas Search integrates with Apache Lucene by embedding a Lucene node within each Atlas cluster, which is responsible for handling search indexing and querying. The integration is achieved through a dedicated mongot Java web process that runs alongside mongod on each node in the Atlas...