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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

Simple queries

As you can see from the preceding diagram, the query (also referred to as query criteria or filter) can be as simple as using JSON syntax to identify a document field, and the value it equals. As an example, we will use the customers collection in the sweetscomplete database. When you specify a query filter, you can provide a hardcoded value, as shown here:

db.customers.findOne({"phoneNumber":"+44-118-652-0519"});

However, you can also simply wrap the target value into a regular expression by surrounding the target string with delimiters ("/"). Here is a simple example, whereby we use the db.collection.findOne() command to return a single customer record where the target phone number is located using a /44-118-652-0519/ regular expression:

Let's say that the management has asked you to produce a count of customers. In this case, you can use a cursor method to operate on the results. To form this query, simply execute db.collection...

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