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

Pipeline stage operators

You can create multiple stages within the aggregation by simply adding a new document to the list of arguments presented to the aggregate() method. Each document in the list must start with a pipeline stage operator. Here is a summary of the more important pipeline stage operators:

Operator Notes
$bucket Creates sub-groups based on boundaries, which allow further, independent processing. As an example, you could create a revenue report with buckets consisting of $0.00 to $1.000, $1,001 to $10,000, $10,001 to $100,000, and more.
$count Returns the number of documents at this stage in the pipeline.
$geoNear Used for geospatial aggregation. This single operator internally leverages $match, $sort, and $limit.
$group Produces a single document that has an accumulation of all the documents with the same value for the field identified as _id.
$lookup Incorporates documents from other collections in a similar manner to an SQL LEFT OUTER JOIN.
$match Serves...