Fun fact: When you fire a transaction in a database, you expect isolation and atomicity. But Redis has a minimalist take on transactions. It does not use complex locks or MVCC - it leverages its single-threaded nature to keep things incredibly simple yet highly effective.
Today, we dive into how Redis handles transaction queuing, state isolation, and block execution using the sequential nature of event loops.
This is the 20th video in the Redis Internals series.
In the video, I talk about the mechanics of `MULTI`, `EXEC`, and `DISCARD`, how native database processes maintain connection-specific command queues, and the deliberate design choice of why Redis does not support rolling back a transaction mid-execution.
Also, we re-implement this exact transaction engine and array serialization routine from scratch in Go. By the way, 20 videos are now live:
1. Why Single-Threaded Redis Is Fast
2. Writing a TCP Echo Server
3. Wire Protocols
4. Implementing RESP
5. Implementing PING
6. Understanding Event Loops
7. Implementing Event Loops
8. Implementing GET, SET, and TTL
9. Implementing DEL, EXPIRE, and Cleanup
10. Evictions and Implementing first-eviction
11. Implementing Command Pipelining
12. Implementing AOF Persistence
13. Objects, Encodings, and Implementing INCR
14. Implementing INFO and allkeys-random Eviction
15. The Approximated LRU Algorithm
16. Implementing the Approx LRU Algorithm
17. How Redis Caps Its Memory Usage
18. How and Why Redis Overrides Malloc
19. Graceful Shutdown using Signal Handling
20. Redis Transactions Internals
Hope this helps you better understand database internals and spark that engineering curiosity.
Give it a watch.