Stop letting slow queries lag your application! Indexes are the "Table of Contents" for your database, and mastering them is crucial for any developer working with MongoDB. In this essential 2025 guide, we break down exactly how to create, view, and delete indexes to keep your database running at peak performance.

This tutorial is perfect for backend developers, database administrators, and students who want to move beyond basic CRUD operations. We provide a clear, step-by-step walkthrough using the MongoDB Shell (mongosh) and explain the logic behind each command.

What we cover in this video:

Viewing Existing Indexes: Before adding new ones, see what's already there! We'll show you how to use db.collection.getIndexes() to inspect your current index structure and understand the default _id index.

Creating New Indexes: * Single Field Indexes: Learn the syntax db.collection.createIndex({ field: 1 }) for basic optimization.

Compound Indexes: How to index multiple fields together for complex queries.

Naming Your Indexes: Why you should use the { name: "my_index" } option to keep your database organized.

Dropping Unnecessary Indexes: Unused indexes slow down write operations (Inserts/Updates). We’ll show you:

How to drop a specific index using db.collection.dropIndex("index_name").

How to wipe all non-default indexes at once with db.collection.dropIndexes().

Performance Best Practices: A quick look at the ESR Rule (Equality, Sort, Range) and why you can't drop the default _id index.

Why Indexing Matters: Without indexes, MongoDB must perform a "Collection Scan," looking at every single document to find a match. With proper indexing, the database can jump straight to the relevant data, reducing query time from seconds to milliseconds.

By the end of this tutorial, you’ll have the confidence to manage your MongoDB indexes effectively, ensuring your applications stay fast and scalable!

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