Скачать или смотреть How Databases Search Billions of Records in Milliseconds

It sounds impossible: finding a single piece of data among billions in the blink of an eye. How do databases like PostgreSQL and MySQL pull this off every single day? 🤯

The answer isn't brute force—it's an elegant data structure called the B-Tree. This is the core technology that makes modern data retrieval feel like magic.

In this video, we'll visually break down exactly how it works:

The Problem: Why a simple "one-by-one" search is disastrously slow on large datasets.

The B-Tree Solution: How organizing data into a balanced tree structure achieves lightning-fast O(logn) search times.

Key Operations: A step-by-step look at how B-Trees handle insertions and deletions by splitting and merging nodes to stay efficient.

Disk Optimization: The real secret—how B-Trees are designed to minimize disk reads, the biggest bottleneck in database performance.

From Theory to SQL: See how the CREATE INDEX command builds a B-Tree to supercharge your queries.

This guide is perfect for software engineers, computer science students, and anyone preparing for a system design interview.

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