Query Optimizer Implementations - Part 1 - Lecture 16

Explore the intricacies of query optimizer implementations in this advanced database systems lecture from Carnegie Mellon University. Delve into topics such as logical and physical plans, algebra equivalencies, cost model assessment, and design decisions in query optimization. Learn about different approaches to query optimization, including cost-based search, bottom-up search, and random algorithms. Gain insights from Professor Andy Pavlo on prepared statements, plan stability, and when to stop searching for optimal query plans. Examine specific implementations in systems like PostgreSQL and understand the trade-offs involved in various optimization techniques.