In this article, we will explain Database Indexing, its types, benefits, drawbacks, and architectures. It begins with a simple analogy of a library's catalog system, likening it to database indexing. Indexing improves the speed of data retrieval by organizing data, enabling efficient search operations like binary search, without altering the actual table.
The article introduces two primary types of indexes:
Clustered Indexes: Physically order data by the indexed column (usually the primary key).
Non-Clustered Indexes: Create separate structures that reference the data but don’t alter the physical order.
It also discusses two popular indexing data structures:
B-Tree: A balanced tree structure ensuring efficient lookups and modifications.
Hash Index: Uses a hash function for fast equality searches but may suffer from collisions.
The benefits of indexing include faster data retrieval, better scalability for large datasets, and optimized query performance. However, indexing has drawbacks, such as increased overhead during data modifications and the need for extra storage space.
What you will learn:
Introduction
Overview of Database Indexing
What is Database Indexing?
Types of Database Indexing
Clustered Index
Non-Clustered Index
Popular Indexing Architectures
Binary-Tree (B-Tree) Indexes
Hash Indexes
Benefits of Database Indexing
Drawbacks of Database Indexing
Conclusion
name | custom | |
title | Understanding Database Indexing | |
url | https://newsletter.masteringbackend.com/p/understanding-database-indexing | |
description | In this article, we will explain Database Indexing, its types, benefits, drawbacks, and architectures. It begins with a simple analogy of a library's catalog system, likening it to database indexing. | |
