Book Image

Mastering MongoDB 3.x

By : Alex Giamas
Book Image

Mastering MongoDB 3.x

By: Alex Giamas

Overview of this book

MongoDB has grown to become the de facto NoSQL database with millions of users—from small startups to Fortune 500 companies. Addressing the limitations of SQL schema-based databases, MongoDB pioneered a shift of focus for DevOps and offered sharding and replication maintainable by DevOps teams. The book is based on MongoDB 3.x and covers topics ranging from database querying using the shell, built in drivers, and popular ODM mappers to more advanced topics such as sharding, high availability, and integration with big data sources. You will get an overview of MongoDB and how to play to its strengths, with relevant use cases. After that, you will learn how to query MongoDB effectively and make use of indexes as much as possible. The next part deals with the administration of MongoDB installations on-premise or in the cloud. We deal with database internals in the next section, explaining storage systems and how they can affect performance. The last section of this book deals with replication and MongoDB scaling, along with integration with heterogeneous data sources. By the end this book, you will be equipped with all the required industry skills and knowledge to become a certified MongoDB developer and administrator.
Table of Contents (13 chapters)


In this chapter, we learned about different storage engines in MongoDB. We identified the pros and cons of each one and the use cases for choosing each storage engine.

We learned about using multiple storage engines, how we can use them, and the benefits.

A big part of this chapter was also dedicated to database locking, how it can happen, why it is bad, and how we can avoid it.

We split our operations by the lock they need. This way, when we design and implement our application, we can make sure that we have a design that locks our database as little as possible.

In the next chapter, we will learn about MongoDB and how we can use it to ingest and process big data.