MemoryLimiter
- Description: In-Memory rate limiter that lives for the lifetime of the project runtime.
Pros:
- Fastest rate limiter since it lives in Python memory.
- No extra dependencies.
Cons:
- It makes the project stateful, meaning the rate limiter internal state is unique for each process running the project. If there are more than 1 process running the project, this rate limiter will fail.
- Rate limiter state is lost when the process is stopped or restarted.
Backend:
pyot.limiters.memory.MemoryLimiterDefinitions:
__init__limiting_share:float = 1
Last modified 1yr ago