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Comment "INDEX" for a detailed walkthrough of database indexing.

Database indexing is one of the most important concepts to understand when building high-performance applications.

Imagine a users table with 100 million rows and your application needs to find a user by email.

Without an index, the database may have to scan row after row until it finds the match. With the right index, the database can navigate directly to the relevant data instead of scanning the entire table.

But indexing isn't just about making queries faster.

Indexes can dramatically improve read performance, but they also consume storage and make writes more expensive because the index needs to be updated whenever data changes.

Understanding how indexes work, when to use them, and their tradeoffs is essential for database design, backend engineering, and system design interviews.

Follow for more content on:

• Database Design

• Backend Engineering

• System Design

• Distributed Systems

• Scalable Architecture

Which database concept should I cover next?

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