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MongoDB Fundamentals

You're reading from   MongoDB Fundamentals A hands-on guide to using MongoDB and Atlas in the real world

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781839210648
Length 748 pages
Edition 1st Edition
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Authors (4):
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Juned Ahsan Juned Ahsan
Author Profile Icon Juned Ahsan
Juned Ahsan
Liviu Nedov Liviu Nedov
Author Profile Icon Liviu Nedov
Liviu Nedov
Amit Phaltankar Amit Phaltankar
Author Profile Icon Amit Phaltankar
Amit Phaltankar
Michael Harrison Michael Harrison
Author Profile Icon Michael Harrison
Michael Harrison
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Toc

Table of Contents (15) Chapters Close

Preface
1. Introduction to MongoDB 2. Documents and Data Types FREE CHAPTER 3. Servers and Clients 4. Querying Documents 5. Inserting, Updating, and Deleting Documents 6. Updating with Aggregation Pipelines and Arrays 7. Data Aggregation 8. Coding JavaScript in MongoDB 9. Performance 10. Replication 11. Backup and Restore in MongoDB 12. Data Visualization 13. MongoDB Case Study Appendix

Query Arrays and Nested Documents

In Chapter 2, Documents and Data Types, we learned that MongoDB documents support complex object structures such as arrays, nested objects, arrays of objects, and more. The arrays and nested documents help store self-contained information. It is extremely important to have a mechanism to easily search for and retrieve the information stored in such complex structures. The MongoDB query language allows us to query such complex structures in the most intuitive manner. First, we will learn how to run queries on the array elements, and then we will learn how to run them on nested object fields.

Finding an Array by an Element

Querying over an array is similar to querying any other field. In the movies collection, there are several arrays, and the cast field is one of them. Consider that, in your movies service, the user wants to find movies starring the actor Charles Chaplin. To create the query for this search, use an equality check on the field...

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