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MongoDB lessons (27/38)

MongoDB — Schema Design

Design Principles

PrincipleDescription
Embed related dataKeep together
Duplicate for readsOptimize queries
Avoid deep nestingKeep flat
Use referencesFor large data

Embedding

// Good: Small, related data
{
  name: "John",
  address: {
    street: "123 Main St",
    city: "New York"
  }
}

Referencing

// Good: Large or shared data
{
  name: "John",
  orderId: ObjectId("...")
}

Patterns

Attribute Pattern

{
  name: "Phone",
  attributes: {
    color: "black",
    storage: 128,
    weight: 150
  }
}

Bucket Pattern

{
  userId: ObjectId("..."),
  measurements: [
    { date: new Date(), value: 100 },
    { date: new Date(), value: 102 }
  ]
}

Mini Practice

  1. Design embedded schema
  2. Design referenced schema
  3. Use attribute pattern
  4. Use bucket pattern

Up Next

Continue with Relationships — document relationships.

Related Topics

Frequently Asked Questions about Schema Design

What is Schema Design in MongoDB?

Schema Design is a fundamental concept in MongoDB. This lesson explains it step by step with clear examples, making it easy for beginners to understand.

How do I learn Schema Design?

Start by reading the explanation above, then try the code examples. Practice by modifying the examples and experimenting with different values. Hands-on practice is the best way to learn Schema Design.

Why is Schema Design important in MongoDB?

Schema Design is essential for MongoDB development. Understanding this concept will help you write better code and solve real-world problems more effectively.