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Practical MongoDB Aggregations

You're reading from   Practical MongoDB Aggregations The official guide to developing optimal aggregation pipelines with MongoDB 7.0

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781835080641
Length 312 pages
Edition 1st Edition
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Author (1):
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Paul Done Paul Done
Author Profile Icon Paul Done
Paul Done
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Table of Contents (20) Chapters Close

Preface 1. Chapter 1: MongoDB Aggregations Explained FREE CHAPTER 2. Part 1: Guiding Tips and Principles
3. Chapter 2: Optimizing Pipelines for Productivity 4. Chapter 3: Optimizing Pipelines for Performance 5. Chapter 4: Harnessing the Power of Expressions 6. Chapter 5: Optimizing Pipelines for Sharded Clusters 7. Part 2: Aggregations by Example
8. Chapter 6: Foundational Examples: Filtering, Grouping, and Unwinding 9. Chapter 7: Joining Data Examples 10. Chapter 8: Fixing and Generating Data Examples 11. Chapter 9: Trend Analysis Examples 12. Chapter 10: Securing Data Examples 13. Chapter 11: Time-Series Examples 14. Chapter 12: Array Manipulation Examples 15. Chapter 13: Full-Text Search Examples 16. Afterword
17. Index 18. Other books you may enjoy Appendix

A brief summary of MongoDB sharded clusters

In a sharded cluster, you partition a collection of data across multiple shards, where each shard runs on a separate set of host machines. You control how the system distributes the data by defining a shard key rule. Based on the shard key of each document, the system groups subsets of documents together into chunks, where a range of shard key values identifies each chunk. The cluster balances these chunks across its shards.

In addition to holding sharded collections in a database, you may also be storing unsharded collections in the same database. All a database's unsharded collections live on one specific shard in the cluster, designated as the primary shard for the database (not to be confused with a replica set's primary replica). Figure 5.1 shows the relationship between a database's collections and the shards in the cluster.

Figure 5.1: Correlation between a database's collections and...

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