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 went through advanced querying concepts using Ruby, Python, and PHP both using the official drivers and an ODM.

Using Ruby and the Mongoid ODM, Python and the PyMODM ODM, and PHP and the Doctrine ODM, we went through code samples exploring how to create, read, update, and delete documents.

We also discussed batching operations for performance and best practices. We presented an exhaustive list of comparison and update operators that MongoDB uses.

Finally, we discussed smart querying, how cursors in querying work, what our storage performance considerations should be on delete, and how to use regular expressions.

In the next chapter we will learn about the aggregation framework, using a complete use case that involves processing transaction data from the Ethereum blockchain.