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

MongoDB implementation of ACID

MongoDB ensures atomicity for single-document operations, and this is enough for most real-world cases. However, sectors such as finance and fintech, with stringent requirements, demand different treatment in MongoDB. In the case of financial and banking sectors, applications often handle huge numbers of accounts and financial transactions, all of which need verification. These transactions often span multiple documents—thousands or more.

Generally, multi-document ACID transactions are used when an unbounded number of entities that cannot fit into an array of subdocuments as the main document, outgrow the maximum BSON document size (16MB, currently supported by MongoDB). If you're experienced in relational database management systems (RDBMS), you will find MongoDB's multi-document semantics very familiar and straightforward.

According to a MongoDB seminal white paper on ACID transactions (https://www.mongodb.com/collateral/mongodb...