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MOOC

Lecture 01: Intro to Query Optimization
- Extensible Query Optimizers in Practice(Chapter 1)
Lecture 02: IBM System R
- Access Path Selection in a Relational Database Management System
Lecture 03: IBM Starburst
- Extensible Query Processing in Starburst(
Lecture 04: Volcano
- The Volcano Optimizer Generator: Extensibility and Efficient Search
Lecture 05: Cascades
- Extensible Query Optimizers in Practice(Chapter 2)
Lecture 06: Transformations
- Extensible Query Optimizers in Practice(Chapter 4)

Lecture 01. MapReduce: Simplified Data Processing on Large Clusters
- 번역: https://johngrib.github.io/wiki/clipping/mapreduce/
Lecture 03. The Design of a Practical System for Fault-Tolerant Virtual Machines
Lecture 05. In Search of an Understandable Consensus Algorithm
- simple implementation: https://eli.thegreenplace.net/2020/implementing-raft-part-0-introduction/
Lecture 06. The Google File System
Lecture 09. ZooKeeper: Wait-free coordination for Internet-scale systems
Lecture 10. Principles of Computer System Design: An Introduction
- https://ocw.mit.edu/courses/res-6-004-principles-of-computer-system-design-an-introduction-spring-2009/pages/online-textbook/
- 9.1.5, 9.1.6, 9.5.2, 9.5.3, 9.6.3
Lecture 12. Spanner: Google’s Globally-Distributed Database
- 번역: 글로벌 분산 데이터베이스 Spanner
Lecture 13. No compromises: distributed transactions with consistency, availability, and performance
Lecture 14. Chardonnay: Fast and General Datacenter Transactions for On-Disk Databases
Lecture 15. Grove: a Separation-Logic Library for Verifying Distributed Systems