Introduction to Indexing in MongoDB: Types and Performance Optimization

Introduction to Indexing in MongoDB: Types and Performance Optimization

Indexing is crucial for optimizing query performance in MongoDB. This post covers different types of indexes, their uses, and how to optimize performance.

Creating and Using Indexes:

//Creating a Single Field Index
> db.myCollection.createIndex({ name: 1 })
//Result: Creates an index on the name field in ascending order

//Creating a Compound Index
> db.myCollection.createIndex({ name: 1, age: -1 })
//Result: Creates an index on both name (ascending) and age (descending).

Index Types:

Single Field Index:

• Description: Indexes a single field.
• Use Case: Commonly used for fields frequently queried.

Compound Index:

• Description: Indexes multiple fields.
• Use Case: Optimizes queries that filter or sort by multiple fields.

Multikey Index:

• Description: Indexes array fields.
• Use Case: Optimizes queries that involve array fields.

> db.myCollection.createIndex({ items: 1 })

Text Index:

• Description: Indexes string content for full-text search.
• Use Case: Searches within text fields.

> db.myCollection.createIndex({ description: "text" })

Geospatial Index:

• Description: Indexes geographical location data.
• Use Case: Performs location-based queries.

> db.myCollection.createIndex({ location: "2dsphere" })

Index Performance and Optimization

Analyze Query Performance:

> db.myCollection.find({ name: "Alice" }).explain("executionStats")

Indexing Strategies:

• Use Indexes Judiciously: Avoid over-indexing as it can slow down write operations.
• Index Common Queries: Create indexes based on query patterns.

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