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Mastering MongoDB 7.0

You're reading from   Mastering MongoDB 7.0 Achieve data excellence by unlocking the full potential of MongoDB

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781835460474
Length 434 pages
Edition 4th Edition
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Authors (7):
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Rajesh Nair Rajesh Nair
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Rajesh Nair
Leandro Domingues Leandro Domingues
Author Profile Icon Leandro Domingues
Leandro Domingues
Mr. Elie Hannouch Mr. Elie Hannouch
Author Profile Icon Mr. Elie Hannouch
Mr. Elie Hannouch
Arek Borucki Arek Borucki
Author Profile Icon Arek Borucki
Arek Borucki
Rachelle Palmer Rachelle Palmer
Author Profile Icon Rachelle Palmer
Rachelle Palmer
Malak Abu Hammad Malak Abu Hammad
Author Profile Icon Malak Abu Hammad
Malak Abu Hammad
Marko Aleksendrić Marko Aleksendrić
Author Profile Icon Marko Aleksendrić
Marko Aleksendrić
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Table of Contents (20) Chapters Close

Preface 1. Chapter 1: Introduction to MongoDB FREE CHAPTER 2. Chapter 2: The MongoDB Architecture 3. Chapter 3: Developer Tools 4. Chapter 4: Connecting to MongoDB 5. Chapter 5: CRUD Operations and Basic Queries 6. Chapter 6: Schema Design and Data Modeling 7. Chapter 7: Advanced Querying in MongoDB 8. Chapter 8: Aggregation 9. Chapter 9: Multi-Document ACID Transactions 10. Chapter 10: Index Optimization 11. Chapter 11: MongoDB Atlas: Powering the Future of Developer Data Platforms 12. Chapter 12: Monitoring and Backup in MongoDB 13. Chapter 13: Introduction to Atlas Search 14. Chapter 14: Integrating Applications with MongoDB 15. Chapter 15: Security 16. Chapter 16: Auditing 17. Chapter 17: Encryption 18. Index 19. Other Books You May Enjoy

Introduction to indexes

An index is a special data structure that enables faster access to data in a collection, much like an old-school paper encyclopedia index. It is an ordered list of references to the actual contents—the documents—which allows MongoDB to query much faster, often by orders of magnitude. Indexes store values of a specific field or a set of fields, ordered by value. As you will see later in The equality, sort, range (ESR) rule section, MongoDB can return sorted results using the ordering of the index itself.

MongoDB indexes use a data structure known as B-tree, a self-balancing tree data structure that maintains sorted data, and allows sequential access, searches, insertions, and deletions in logarithmic time. The index can be thought of as a list of key-value pairs, where each key is a value of index, and the value of the key-value pair is the document itself. Like an index of a book, the keys are stored in order, and associated with one or more...

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