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)
Section 1: Essentials
Section 2: Building a Database-Driven Web Application
Section 3: Digging Deeper
Section 4: Replication, Sharding, and Security in a Financial Environment
Working with Complex Documents Across Collections

Building complex queries using query operators

Below the dotted line in the preceding diagram, you will note a more complex form of stating the query. In the diagram, $op would represent one of the query operators (also referred to as query selectors) that are available in MongoDB.

Query operators fall into the following categories:

  • Comparison ($eq, $gt, $gte, $in, $lt,$lte, $ne, $nin)
  • Logical ($and, $not, $or, $nor)
  • Element ($exists, $type)
  • Evaluation ($expr, $jsonSchema, $mod, $regex, $text, $where)
  • Geospatial ($geoIntersects, $geoWithin, $near, $nearSphere)
  • Array ($all, $elemMatch, $size)
  • Bitwise ($bitsAllClear, $bitsAllSet, $bitsAnyClear, $bitsAnySet)
  • Comments ($comment)

As an example, let's say that the management wants a count of customers from non-English-speaking majority countries over the age of 50. The first thing we can do is create a JavaScript array variable of majority-English-speaking country codes. As a reference, we draw a list of countries from a document produced...