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MongoDB Fundamentals

You're reading from  MongoDB Fundamentals

Product type Book
Published in Dec 2020
Publisher Packt
ISBN-13 9781839210648
Pages 748 pages
Edition 1st Edition
Languages
Concepts
Authors (4):
Amit Phaltankar Amit Phaltankar
Profile icon Amit Phaltankar
Juned Ahsan Juned Ahsan
Profile icon Juned Ahsan
Michael Harrison Michael Harrison
Profile icon Michael Harrison
Liviu Nedov Liviu Nedov
Profile icon Liviu Nedov
View More author details

Table of Contents (15) Chapters

Preface
1. Introduction to MongoDB 2. Documents and Data Types 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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