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Mastering MongoDB 7.0 - Fourth Edition

You're reading from  Mastering MongoDB 7.0 - Fourth Edition

Product type Book
Published in Jan 2024
Publisher Packt
ISBN-13 9781835460474
Pages 434 pages
Edition 4th Edition
Languages
Concepts
Authors (7):
Marko Aleksendrić Marko Aleksendrić
Profile icon Marko Aleksendrić
Arek Borucki Arek Borucki
Profile icon Arek Borucki
Leandro Domingues Leandro Domingues
Profile icon Leandro Domingues
Malak Abu Hammad Malak Abu Hammad
Profile icon Malak Abu Hammad
Elie Hannouch Elie Hannouch
Profile icon Elie Hannouch
Rajesh Nair Rajesh Nair
Profile icon Rajesh Nair
Rachelle Palmer Rachelle Palmer
Profile icon Rachelle Palmer
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Table of Contents (20) Chapters

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