Advanced Schema Patterns and Antipatterns

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Learning Objectives

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Resources

Use the following resources to learn more about advanced MongoDB schema patterns, schema lifecycle management, and schema antipatterns

• Schema Design Patterns

  • Building with Patterns: A Summary

  • The Approximation Pattern

  • The Schema Versioning Pattern

  • Video: Developer Jumpstart: The Principles of Data Modeling for MongoDB

• Schema Lifecycle Management

  • MongoDB Docs: View Existing Validation Rules

  • MongoDB Docs: Modify Schema Validation

  • MongoDB Docs: Choose How to Handle Invalid Documents

  • MongoDB Docs: Log Messages

  • MongoDB Docs: Improve Your Schema with Schema Suggestions from Atlas

• Schema Design Anti-Patterns

  • Massive Number of Collections

  • Unnecessary Indexes

  • Data Normalization

  • Case Sensitivity

  • A Summary of Schema Design Anti-Patterns and How to Spot Them

  • Videos: Schema Design Anti-Patterns Part 1 & Part 2

For more information about how to identify and mitigate common antipatterns in MongoDB Atlas, check out these resources:

• Service Limits - MongoDB Atlas

• Reduce Number of Collections - MongoDB Atlas

• Reduce $lookup Operations - MongoDB Atlas

• Use Atlas Search for Full-Text Regex Queries - MongoDB Atlas
  

Additional Resource for Purchase:

• MongoDB Data Modeling and Schema Design by Daniel Coupal, Pascal Desmarets, and Steve Hoberman (2023)