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Learn MongoDB 4.x

Learn MongoDB 4.x

By : Bierer
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Learn MongoDB 4.x

Learn MongoDB 4.x

By: Bierer

Overview of this book

When it comes to managing a high volume of unstructured and non-relational datasets, MongoDB is the defacto database management system (DBMS) for DBAs and data architects. This updated book includes the latest release and covers every feature in MongoDB 4.x, while helping you get hands-on with building a MongoDB database app. You’ll get to grips with MongoDB 4.x concepts such as indexes, database design, data modeling, authentication, and aggregation. As you progress, you’ll cover tasks such as performing routine operations when developing a dynamic database-driven website. Using examples, you’ll learn how to work with queries and regular database operations. The book will not only guide you through design and implementation, but also help you monitor operations to achieve optimal performance and secure your MongoDB database systems. You’ll also be introduced to advanced techniques such as aggregation, map-reduce, complex queries, and generating ad hoc financial reports on the fly. Later, the book shows you how to work with multiple collections as well as embedded arrays and documents, before finally exploring key topics such as replication, sharding, and security using practical examples. By the end of this book, you’ll be well-versed with MongoDB 4.x and be able to perform development and administrative tasks associated with this NoSQL database.
Table of Contents (22 chapters)
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1
Section 1: Essentials
5
Section 2: Building a Database-Driven Web Application
9
Section 3: Digging Deeper
13
Section 4: Replication, Sharding, and Security in a Financial Environment
14
Working with Complex Documents Across Collections

Working with sharded cluster zones

An advantage of range-based sharding is that you can create zones (https://docs.mongodb.com/manual/core/zone-sharding/#zones) within the sharded data. A zone is an arbitrary tag or label you can assign to a range of documents based on the shard key value. The zones can then be later associated with specific shards to allow for the geographic distribution of data. Ranges cannot overlap. Further, the field (or fields) representing the shard key must be indexed so that you are assured the range values are consecutive. 

To work with zones within a sharded cluster, you need to do two things: define the zones and then assign ranges. Let's start with the zone definition.

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