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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

Use Cases

The preceding sections provided an overview of the City Bikes system, the requirements and considerations, and the database structure. Now, we will list the system use cases using some example scenarios and the database queries to run through them. This will help verify the correctness of the design and help ensure that no requirement is missed.

User Finds Available Bikes

Consider a situation in which a user opens the app on their mobile phone and clicks to find a bike in a radius of 300 meters from their location. The user's current coordinates are Longitude 111.189528 and Latitude -72.454567. The next snippet shows the corresponding database query:

db.vehicles.find({
    "vehicle_type" : "bike", 
    "status" : "available",
    "location" : {
        $near : {
        ...
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