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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
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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

Modeling the query in JavaScript

A really great technique that you can use to formulate complex queries is to model the query using the mongo shell or use MongoDB Compass (covered in Chapter 9, Handling Complex Queries in MongoDB). That way, you are able to get an idea of what data is returned, which might lead to further refinements. You can then adapt the query to Python and the pymongo.collection.Collection.find() method.

In the mongo shell, we use the sweetscomplete database. After that, we can formulate our query document in the form of a JavaScript variable query. Next, we define the projection, which controls which fields appear in the output. We can then execute this query:

query = {"dateOfPurchase":{"$regex":/^2018/}};
projection = {"dateOfPurchase":1,"extendedPrice":1,"country":1,"_id":0};
db.purchases.find(query, projection). \
sort({"country":1,"dateOfPurchase":1});

We will achieve this...

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