MongoDB Performance Optimization Tips

Learn how to optimize your MongoDB database for maximum performance.

Indexing Strategies

Proper indexing is crucial for query performance:

// Create an index
db.users.createIndex({ email: 1 })
// Compound index
db.users.createIndex({ lastName: 1, firstName: 1 })
// Text index for search
db.articles.createIndex({ title: "text", content: "text" })

Query Optimization

Write efficient queries:

// Use projection to limit fields
db.users.find({}, { name: 1, email: 1 })
// Use limit for pagination
db.users.find().limit(10).skip(20)
// Use explain to analyze queries
db.users.find({ email: "test@example.com" }).explain("executionStats")

Schema Design

Design your schema for your access patterns:

// Embed related data for read performance
{
  _id: ObjectId(),
  name: "John Doe",
  address: {
    street: "123 Main St",
    city: "New York"
  }
}
// Reference for frequently updated data
{
  _id: ObjectId(),
  userId: ObjectId("..."),
  posts: [ObjectId("..."), ObjectId("...")]
}

Connection Pooling

Use connection pooling for better performance:

const client = new MongoClient(uri, {
  maxPoolSize: 50,
  minPoolSize: 10
})

Conclusion

Following these optimization strategies will significantly improve your MongoDB performance.