Examples

We leverage redis to store state of the ratelimiting.
So you will need to have a redis instance available on localhost.

You can start this redis instance with Docker:

docker run -d -p 6379:6379 --name limiter-redis redis
# Clean up: you can rm the docker this way
# docker rm -f limiter-redis

scoped_limiters

This example present how to use multiple limiters. This allow different configurations and the ability to scope them.

Starting the example server

RUST_LOG=debug cargo run --example scoped_limiters

RUST_LOG=debug is used to print logs, see crate pretty_env_logger for more details.

Testing with curl

curl -X PUT localhost:8080/scoped/sms -v

first request should work fine
doing a second request within 60 seconds should yield HTTP/1.1 429 Too Many Requests
after 60 seconds you should be able to make 1 request again

curl localhost:8080

This route should work 30 times, or 29 if you previously requested the /scoped/sms route