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Overview
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Learn about B-Tree and B+Tree data structures from a practical production database perspective in this 42-minute lecture. Explore how these self-balancing tree structures maintain sorted data and enable logarithmic time operations for searches, insertions, and deletions in real database systems like PostgreSQL and MySQL. Begin with an examination of full table scans and the original B-Tree implementation, then discover how B-Trees improve database performance and understand their inherent limitations. Progress to B+Trees and their advantages over traditional B-Trees, including specific database management system considerations and storage cost comparisons between MySQL and PostgreSQL implementations. Gain insights into the practical engineering decisions behind these fundamental database indexing structures, moving beyond theoretical explanations to understand how they function in production environments.
Syllabus
0:00 Introduction & Agenda
1:00 Agenda
3:35 Full Table Scan
6:53 Original B-Tree
11:33 How Original B-Tree helps Performance
19:20 Limitation of B-Tree
25:46 B+Tree
32:00 B+Tree DBMS Considerations
36:20 B+Tree Storage Cost in MySQL vs Postgres
40:00 Summary
Taught by
Hussein Nasser