MongoDB Indexing & Search

MongoDB Tutorial

About Lesson

Introduction

Learn how to optimize query performance and improve search capabilities in MongoDB using indexing and various search techniques.

Connecting to MongoDB

Before optimizing queries, ensure you are connected to your MongoDB server:

Example: Connecting to MongoDB

mongosh

This command starts the mongosh shell and connects to the default MongoDB server running locally.

Switching to a Database

Switch to the database where your collection resides using the use command:

Example: Switching to a Database

use mydatabase

This command switches to the “mydatabase” database. Replace mydatabase with your database name.

Creating Indexes

Create indexes to improve query performance:

Example: Creating an Index

db.mycollection.createIndex({ field: 1 })

This command creates an index on the field in ascending order (1). Replace mycollection and field with your collection and field name, respectively.

Compound Indexes

Create compound indexes for queries involving multiple fields:

Example: Creating a Compound Index

db.mycollection.createIndex({ field1: 1, field2: -1 })

This command creates a compound index on field1 in ascending order and field2 in descending order (-1).

Text Indexes

Create text indexes for text search queries:

Example: Creating a Text Index

db.mycollection.createIndex({ content: "text" })

This command creates a text index on the content field for full-text search queries.

Query Optimization

Optimize queries using indexed fields and operators:

Example: Querying with Index

db.mycollection.find({ field: { $gt: 10 } })

This query utilizes an index on the field for efficient retrieval of documents where field is greater than 10.

Verifying Index Usage

Verify index usage and query performance:

Example: Verifying Index Usage

db.mycollection.explain().find({ field: { $gt: 10 } })

This command provides an explanation of how MongoDB executes the query, including index usage.

Conclusion

By utilizing indexing and optimizing queries, MongoDB enables efficient data retrieval and enhances search capabilities. Experiment with different types of indexes and query optimizations to improve performance based on your application’s requirements.