Implementing Rate Limiting in Spring Boot Using a Custom Annotation and Redis
This article demonstrates how to create a custom @AccessLimit annotation, implement a Spring Boot interceptor that checks Redis for request counts, register the interceptor, and apply the annotation to a controller method to enforce rate‑limiting with optional login verification.
The tutorial begins by defining a custom annotation @AccessLimit that specifies the time window (seconds), maximum request count, and whether login is required.
Next, a Spring MVC interceptor FangshuaInterceptor is implemented. It extracts the annotation from the handler method, builds a Redis key (including user ID when login is required), retrieves the current count from Redis, increments it, and rejects the request with a JSON error response when the limit is exceeded.
The interceptor is then registered in a Spring Boot configuration class WebConfig by extending WebMvcConfigurerAdapter and adding the interceptor to the InterceptorRegistry.
Finally, the annotation is applied to a controller method fangshua in FangshuaController, which returns a success message when the request passes the rate‑limit check.
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