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Mastering MongoDB 4.x

You're reading from   Mastering MongoDB 4.x Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789617870
Length 394 pages
Edition 2nd 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 (20) Chapters Close

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

Indexing

This chapter will explore one of the most important properties of any database: indexing. Similar to book indexes, database indexes allow for quicker data retrieval. In the RDBMS world, indexes are widely used (and sometimes abused) to speed up data access. In MongoDB, indexes play an integral part in schema and query design. MongoDB supports a wide array of indexes that you will learn about in this chapter, including single field, compound, multi-key, geospatial, hashed, partial, and many more. In addition to reviewing the different types of indexes, we will show you how to build and manage indexes for single-server deployments, as well as complex sharded environments.

In this chapter, we will cover the following topics:

  • Index internals
  • Types of indexes
  • Building and managing indexes
  • Efficient usage of indexes
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