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

Summary

Replication in MongoDB is a process that synchronizes data across multiple servers, providing redundancy and increased data availability. This is achieved through replica sets, a group of MongoDB servers that maintain the same dataset. Within a replica set, one node acts as the primary node, receiving all write operations, while the secondary nodes replicate the primary's operations to their datasets. This structure provides a robust system for failover and recovery. If a primary node fails, an election among the secondaries determines a new primary, allowing for continuous client operations.

Sharding in MongoDB is a method for splitting and distributing data across multiple servers or shards. Each shard is an independent replica set, and collectively, the shards make up a single logical database—the sharded cluster. This approach is used to support deployments with very large datasets and high-throughput operations, effectively addressing scalability issues...