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Learn MongoDB 4.x

You're reading from   Learn MongoDB 4.x A guide to understanding MongoDB development and administration for NoSQL developers

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781789619386
Length 610 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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Doug Bierer Doug Bierer
Author Profile Icon Doug Bierer
Doug Bierer
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Essentials
2. Introducing MongoDB 4.x FREE CHAPTER 3. Setting Up MongoDB 4.x 4. Essential MongoDB Administration Techniques 5. Section 2: Building a Database-Driven Web Application
6. Fundamentals of Database Design 7. Mission-Critical MongoDB Database Tasks 8. Using AJAX and REST to Build a Database-Driven Website 9. Section 3: Digging Deeper
10. Advanced MongoDB Database Design 11. Using Documents with Embedded Lists and Objects 12. Handling Complex Queries in MongoDB 13. Section 4: Replication, Sharding, and Security in a Financial Environment
14. Working with Complex Documents Across Collections 15. Administering MongoDB Security 16. Developing in a Secured Environment 17. Deploying a Replica Set 18. Replica Set Runtime Management and Development 19. Deploying a Sharded Cluster 20. Sharded Cluster Management and Development 21. Other Books You May Enjoy

Reviewing a Map-Reduce example

A very simple example is enough to give you an idea of how this command works. Let's say that management wants a revenue report for 2019 with a sum for each country. First, we need to define the JavaScript map function. This function emits the country code and total price for each document in the bookings collection:

map_func = function () { \
emit(this.property.propertyAddr.country, this.totalPrice); }

Next, we define the reduce function. This function accepts the two values that are emitted, and produces a sum of the total prices paid aggregated by country:

reduce_func = function (key, prices) { return Array.sum(prices); }

Next, we define the document used as a query filter, as well as the target collection into which the resulting information is written:

query_doc = {"bookingInfo.paymentStatus":"confirmed", "bookingInfo.arrivalDate":/^2019/}
output_to = "country_totals"

We are now ready to execute...

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