Schema Management

Understand and manage your MongoDB collection schemas with MongoDash's schema analysis tools.

Schema Detection

MongoDash automatically analyzes your collections to detect schema patterns:

• Field types - Data types for each field
• Nullable fields - Fields that appear in some but not all documents
• Array types - Element types within arrays
• Nested objects - Structure of embedded documents

Schema View

View the detected schema for any collection:

1. Open a collection in the Data Explorer
2. Click the Schema tab
3. View all fields and their types

Field Information

For each field, see:

• Name - Field path (including nested fields)
• Type - MongoDB BSON type
• Coverage - Percentage of documents with this field
• Sample values - Example values from the collection

Schema Validation

Business

Configure JSON Schema validation rules to enforce data quality:

Creating Validation Rules

{
  "$jsonSchema": {
    "bsonType": "object",
    "required": ["name", "email"],
    "properties": {
      "name": {
        "bsonType": "string",
        "description": "User's full name"
      },
      "email": {
        "bsonType": "string",
        "pattern": "^.+@.+$"
      },
      "age": {
        "bsonType": "int",
        "minimum": 0,
        "maximum": 150
      }
    }
  }
}

Validation Levels

• Strict - Reject invalid documents
• Moderate - Warn but allow invalid documents

Schema Changes

Tracking Schema Evolution

MongoDash tracks schema changes over time:

• New fields added
• Field types changed
• Fields removed

Access schema history from the Schema tab.

Schema Migration

When making schema changes:

1. Test changes on a copy collection first
2. Document the migration plan
3. Apply incrementally with validation
4. Monitor for validation errors

What's Next?

• Import/Export Data
• Validation Rules