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Mastering MongoDB 6.x

You're reading from   Mastering MongoDB 6.x Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 6.x

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Product type Paperback
Published in Aug 2022
Publisher Packt
ISBN-13 9781803243863
Length 460 pages
Edition 3rd Edition
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Author (1):
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Alex Giamas Alex Giamas
Author Profile Icon Alex Giamas
Alex Giamas
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Table of Contents (22) Chapters Close

Preface 1. Part 1 – Basic MongoDB – Design Goals and Architecture
2. Chapter 1: MongoDB – A Database for the Modern Web FREE CHAPTER 3. Chapter 2: Schema Design and Data Modeling 4. Part 2 – Querying Effectively
5. Chapter 3: MongoDB CRUD Operations 6. Chapter 4: Auditing 7. Chapter 5: Advanced Querying 8. Chapter 6: Multi-Document ACID Transactions 9. Chapter 7: Aggregation 10. Chapter 8: Indexing 11. Part 3 – Administration and Data Management
12. Chapter 9: Monitoring, Backup, and Security 13. Chapter 10: Managing Storage Engines 14. Chapter 11: MongoDB Tooling 15. Chapter 12: Harnessing Big Data with MongoDB 16. Part 4 – Scaling and High Availability
17. Chapter 13: Mastering Replication 18. Chapter 14: Mastering Sharding 19. Chapter 15: Fault Tolerance and High Availability 20. Index 21. Other Books You May Enjoy

Summary

In this chapter, we learned about the foundations of indexing and index internals. We then explored how to use the different index types available in MongoDB, such as single-field, compound, and multikey, as well as some special types, such as text, hashed, TTL, partial, parse, unique, case-insensitive, and geospatial.

In the next part of the chapter, we learned how to build and manage indexes using the shell, which is a basic part of administration and database management, even for NoSQL databases. Finally, we discussed how to improve our indexes at a high level, and also how we can use index intersection in practice to consolidate the number of indexes.

In the next chapter, we will discuss how we can monitor our MongoDB cluster and keep consistent backups. We will also learn how to handle security in MongoDB.

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