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Learn MongoDB 4.x

You're reading from   Learn MongoDB 4.x A guide to understanding MongoDB development and administration for NoSQL developers

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781789619386
Length 610 pages
Edition 1st Edition
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Author (1):
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Doug Bierer Doug Bierer
Author Profile Icon Doug Bierer
Doug Bierer
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Table of Contents (22) Chapters Close

Preface 1. Section 1: Essentials
2. Introducing MongoDB 4.x FREE CHAPTER 3. Setting Up MongoDB 4.x 4. Essential MongoDB Administration Techniques 5. Section 2: Building a Database-Driven Web Application
6. Fundamentals of Database Design 7. Mission-Critical MongoDB Database Tasks 8. Using AJAX and REST to Build a Database-Driven Website 9. Section 3: Digging Deeper
10. Advanced MongoDB Database Design 11. Using Documents with Embedded Lists and Objects 12. Handling Complex Queries in MongoDB 13. Section 4: Replication, Sharding, and Security in a Financial Environment
14. Working with Complex Documents Across Collections 15. Administering MongoDB Security 16. Developing in a Secured Environment 17. Deploying a Replica Set 18. Replica Set Runtime Management and Development 19. Deploying a Sharded Cluster 20. Sharded Cluster Management and Development 21. Other Books You May Enjoy

Range-based sharding

In range-based sharding (https://docs.mongodb.com/manual/core/ranged-sharding/#ranged-sharding), MongoDB simply uses the direct value of the chosen shard key to determine the shard boundaries. This has a distinct advantage in that application program code can perform read and write operations directly specifying the value of the shard key. This, in turn, allows mongos to perform a targeted operation, resulting in a performance boost. The disadvantage of this strategy is that the onus is on the MongoDB DevOp to wisely choose a shard key, paying close attention to cardinality, frequency, and the rate of change. A bad choice of shard key quickly results in poor performance and the uneven distribution of data among the shards.

In a range-based sharding implementation, because the shard key is known, the application code can include the shard key in its queries. If the shard key is compound (for example, ISO 3 country code plus telephone area dialing code), the query could...

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