I am looking to cache a Mono
(only if it is successful) which is the result of a WebClient call.
From reading the project reactor addons docs I don't feel that CacheMono is a good fit as it caches the errors as well which I do not want.
So instead of using CacheMono
I am doing the below:
Cache<MyRequestObject, Mono<MyResponseObject>> myCaffeineCache =
Caffeine.newBuilder()
.maximumSize(100)
.expireAfterWrite(Duration.ofSeconds(60))
.build();
MyRequestObject myRequestObject = ...;
Mono<MyResponseObject> myResponseObject = myCaffeineCache.get(myRequestObject,
requestAsKey -> WebClient.create()
.post()
.uri("http://www.example.com")
.syncBody(requestAsKey)
.retrieve()
.bodyToMono(MyResponseObject.class)
.cache()
.doOnError(t -> myCaffeineCache.invalidate(requestAsKey)));
Here I am calling cache on the Mono
and then adding it to the caffeine cache.
Any errors will enter doOnError
to invalidate the cache.
Is this a valid approach to caching a Mono
WebClient response?
@Deprecated public class CacheMono extends Object. Opinionated caching helper that defines how to store and restore a Mono in an arbitrary cache abstraction. A generic writer/reader entry point is provided, but cache vendors that have a Map wrapper support can also be directly used.
A non-blocking way would be via one of the overloaded subscribe() methods. In this example, we will use the subscribe(Consumer<? super T> consumer) to get the data from Mono asynchronously. With subscribe(), the current thread will not be blocked waiting for the Publisher to emit data.
Project Reactor is the implementation of Reactive Streams specification. Reactor provides two types: Mono: implements Publisher and returns 0 or 1 elements. Flux: implements Publisher and returns N elements.
To clarify, Spring WebFlux can adapt to different runtimes through a common API provided by HttpHandler. This API is a simple contract with just one method that provides an abstraction over different server APIs, like Reactor Netty, Servlet 3.1 API, or Undertow APIs.
This is one of the very few use cases where you'd be actually allowed to call non-reactive libraries and wrap them with reactive types, and have processing done in side-effects operators like doOnXYZ
, because:
You can then in this case query the cache to see if a cached version is there (wrap it and return right away), and cache a successful real response in a doOn
operator, like this:
public class MyService {
private WebClient client;
private Cache<MyRequestObject, MyResponseObject> myCaffeineCache;
public MyService() {
this.client = WebClient.create();
this.myCaffeineCache = Caffeine.newBuilder().maximumSize(100)
.expireAfterWrite(Duration.ofSeconds(60)).build();
}
public Mono<MyResponseObject> fetchResponse(MyRequestObject request) {
MyResponseObject cachedVersion = this.myCaffeineCache.get(myRequestObject);
if (cachedVersion != null) {
return Mono.just(cachedVersion);
} else {
return this.client.post()
.uri("http://www.example.com")
.syncBody(request.getKey())
.retrieve()
.bodyToMono(MyResponseObject.class)
.doOnNext(response -> this.myCaffeineCache.put(request.getKey(), response));
}
}
Note that I wouldn't cache reactive types here, since there's no I/O involved nor backpressure once the value is returned by the cache. On the contrary, it's making things more difficult with subscription and other reactive streams constraints.
Also you're right about the cache
operator since it isn't about caching the value per se, but more about replaying what happened to other subscribers. I believe that cache
and replay
operators are actually synonyms for Flux
.
Actually, you don't have to save errors with CacheMono.
private Cache<MyRequestObject, MyResponseObject> myCaffeineCache;
...
Mono<MyResponseObject> myResponseObject =
CacheMono.lookup(key -> Mono.justOrEmpty(myCaffeineCache.getIfPresent(key))
.map(Signal::next), myRequestObject)
.onCacheMissResume(() -> /* Your web client or other Mono here */)
.andWriteWith((key, signal) -> Mono.fromRunnable(() ->
Optional.ofNullable(signal.get())
.ifPresent(value -> myCaffeineCache.put(key, value))));
When you switch to external cache, this may be usefull. Don't forget using reactive clients for external caches.
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