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)

Sharding

Sharding was one of the features that MongoDB offered from an early stage, since version 1.6 was released in August 2010. Sharding is the ability to horizontally scale out our database by partitioning our datasets across different servers—the shards. Foursquare and Bitly are two of the most famous early customers for MongoDB that were also using sharding from its inception all the way to the general availability release.

In this chapter, we will learn how to design a sharding cluster and how to make the single most important decision around it—choosing the shard key. We will also learn about different sharding techniques and how to monitor and administrate sharded clusters. We will discuss the mongos router and how it is being used to route our queries across different shards. Finally, we will learn how we can recover from errors in our shard.

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