Book Image

Learn MongoDB 4.x

By : Doug Bierer
Book Image

Learn MongoDB 4.x

By: Doug 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)
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

Range-based sharding

In range-based sharding (https://docs.mongodb.com/manual/core/ranged-sharding/#ranged-sharding), MongoDB simply uses the direct value of the chosen shard key to determine the shard boundaries. This has a distinct advantage in that application program code can perform read and write operations directly specifying the value of the shard key. This, in turn, allows mongos to perform a targeted operation, resulting in a performance boost. The disadvantage of this strategy is that the onus is on the MongoDB DevOp to wisely choose a shard key, paying close attention to cardinality, frequency, and the rate of change. A bad choice of shard key quickly results in poor performance and the uneven distribution of data among the shards.

In a range-based sharding implementation, because the shard key is known, the application code can include the shard key in its queries. If the shard key is compound (for example, ISO 3 country code plus telephone area dialing code), the query could...