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Mastering MongoDB 4.x

You're reading from   Mastering MongoDB 4.x Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789617870
Length 394 pages
Edition 2nd Edition
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Author (1):
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Alex Giamas Alex Giamas
Author Profile Icon Alex Giamas
Alex Giamas
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Table of Contents (20) Chapters Close

Preface 1. Section 1: Basic MongoDB – Design Goals and Architecture FREE CHAPTER
2. MongoDB – A Database for Modern Web 3. Schema Design and Data Modeling 4. Section 2: Querying Effectively
5. MongoDB CRUD Operations 6. Advanced Querying 7. Multi-Document ACID Transactions 8. Aggregation 9. Indexing 10. Section 3: Administration and Data Management
11. Monitoring, Backup, and Security 12. Storage Engines 13. MongoDB Tooling 14. Harnessing Big Data with MongoDB 15. Section 4: Scaling and High Availability
16. Replication 17. Sharding 18. Fault Tolerance and High Availability 19. Other Books You May Enjoy

Modeling relationships

In the following sections, we will explain how we can translate relationships in RDBMS theory into MongoDB's document-collection hierarchy. We will also examine how we can model our data for text search in MongoDB.

One-to-one

Coming from the relational DB world, we identify objects by their relationships. A one-to-one relationship could be a person with an address. Modeling it in a relational database would most probably require two tables: a Person and an Address table with a foreign key person_id in the Address table, as shown in the following diagram:

The perfect analogy in MongoDB would be two collections, Person and Address, as shown in the following code:

> db.Person.findOne()
{
"_id...
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