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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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Toc

Table of Contents (20) Chapters Close

Preface 1. Chapter 1: MongoDB Aggregations Explained 2. Part 1: Guiding Tips and Principles FREE CHAPTER
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

Redacted view

A typical data security requirement is to expose views of data to users, omitting specific sensitive records and fields. For instance, a personnel database might hide salary details while showing employee names. Due to a confidentiality clause, the system may even need to omit some employees from query results entirely. In this example, you will discover how to build an aggregation pipeline to apply such filtering rules for a view.

Scenario

You have a user management system containing data about various people in a database, and you need to ensure a particular client application cannot view the sensitive parts of the data relating to each person.

Consequently, you will provide a read-only view of each person's data. You will use the view, named adults, to redact personal data and expose this view to the client application as the only way it can access personal information. The view will apply the following two rules to restrict data access:

  • Only...
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