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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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Concepts
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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

Introduction to Indexes

Databases can maintain and use indexes to make searches more efficient. In MongoDB, indexes are created on a field or a combination of fields. The database maintains a special registry of indexed fields and some of their data. The registry is easily searchable, as it maintains a logical link between the value of an indexed field and the respective documents in the collection. During a search operation, the database first locates the value in the registry and identifies the matching documents in the collection accordingly. The values in a registry are always sorted in ascending or descending order of the values, which helps during a range search and also while sorting the results.

To better understand how the index registry helps during searches, imagine you are searching for a theater by its ID, as follows:

db.theaters.find(
    {"theaterId" : 1009}
)

When the query is executed on the sample_mflix database, it returns a...

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