I have a spring Webflux application. There are two important parts to this application:
void run() {
redisAdapter.getTtl()
.doOnError(RefreshExternalCache::logError)
.switchIfEmpty(Mono.defer(() -> {
log.debug(">> RefreshExternalCache > refreshExternalCacheIfNeeded => Remaining TTL could not be retrieved. Cache does not exist. " +
"Trying to create the cache.");
return Mono.just(Duration.ofSeconds(0));
}))
.subscribe(remainingTtl -> {
log.debug(">> RefreshExternalCache > refreshExternalCacheIfNeeded => original ttl for the cache: {} | ttl for cache in seconds = {} | ttl for cache in minutes = {}",
remainingTtl, remainingTtl.getSeconds(), remainingTtl.toMinutes());
if (isExternalCacheRefreshNeeded(remainingTtl, offerServiceProperties.getExternalCacheExpiration(), offerServiceProperties.getExternalCacheRefreshPeriod())) {
log.debug(">> RefreshExternalCache > refreshExternalCacheIfNeeded => external cache is up-to-date, skipping refresh");
} else {
log.debug(">> RefreshExternalCache > refreshExternalCacheIfNeeded => external cache is outdated, updating the external cache");
offerService.refreshExternalCache();
}
});
}
This basically calls another method called refreshExternalCache()
, the implementation below:
public void refreshExternalCache() {
fetchOffersFromSource()
.doOnNext(offerData -> {
log.debug(LOG_REFRESH_CACHE + "Updating local offer cache with data from source");
localCache.put(OFFER_DATA_KEY, offerData);
storeOffersInExternalCache(offerData, offerServiceProperties.getExternalCacheExpiration());
})
.doOnSuccess(offerData -> meterRegistry.counter(METRIC_EXTERNAL_CACHE_REFRESH_COUNTER, TAG_OUTCOME, SUCCESS).increment())
.doOnError(sourceThrowable -> {
log.debug(LOG_REFRESH_CACHE + "Error while refreshing external cache {}", sourceThrowable.getMessage());
meterRegistry.counter(METRIC_EXTERNAL_CACHE_REFRESH_COUNTER, TAG_OUTCOME, FAILURE).increment();
}).subscribe();
}
Also, in the above method, you can see a call to storeOffersInExternalCache
public void storeOffersInExternalCache(OfferData offerData, Duration ttl) {
log.info(LOG_STORING_OFFER_DATA + "Storing the offer data in external cache...");
redisAdapter.storeOffers(offerData, ttl);
}
public void storeOffers(OfferData offerData, Duration ttl) {
Mono.fromRunnable(() -> redisClient.storeSerializedOffers(serializeFromDomain(offerData), ttl)
.doOnNext(status -> {
if (Boolean.TRUE.equals(status)) {
log.info(LOG_STORE_OFFERS + "Data stored in redis.");
meterRegistry.counter(METRIC_REDIS_STORE_OFFERS, TAG_OUTCOME, SUCCESS).increment();
} else {
log.error(LOG_STORE_OFFERS + "Unable to store data in redis.");
meterRegistry.counter(METRIC_REDIS_STORE_OFFERS, TAG_OUTCOME, FAILURE).increment();
}
}).retryWhen(Retry.backoff(redisRetryProperties.getMaxAttempts(), redisRetryProperties.getWaitDuration()).jitter(redisRetryProperties.getBackoffJitter()))
.doOnError(throwable -> {
meterRegistry.counter(METRIC_REDIS_STORE_OFFERS, TAG_OUTCOME, FAILURE).increment();
log.error(LOG_STORE_OFFERS + "Unable to store data in redis. Error: [{}]", throwable.getMessage());
})).subscribeOn(Schedulers.boundedElastic());
}
Redis Client
@Slf4j
@Component
public class RedisClient {
private final ReactiveRedisTemplate<String, String> reactiveRedisTemplate;
private final ReactiveValueOperations<String, String> reactiveValueOps;
public RedisClient(@Qualifier("reactiveRedisTemplate") ReactiveRedisTemplate<String, String> reactiveRedisTemplate) {
this.reactiveRedisTemplate = reactiveRedisTemplate;
this.reactiveValueOps = reactiveRedisTemplate.opsForValue();
}
Mono<Optional<String>> fetchSerializedOffers() {
return reactiveValueOps.get(OFFER_DATA_KEY).map(Optional::ofNullable);
}
Mono<Boolean> storeSerializedOffers(String serializedOffers, Duration ttl) {
return reactiveValueOps.set(OFFER_DATA_KEY, serializedOffers, ttl);
}
Mono<Duration> getTtl() {
return reactiveRedisTemplate.getExpire(OFFER_DATA_KEY);
}
}
Now my concerns are:
subscribe
method on these Mono streams, these methods are not even executed. This is fair as they won't execute until someone subscribes to them.subscribe
is a blocking call. This defeats the whole purpose of Reactive programming. Isn't it?Mono.fromRunnable
but this also is not a very good approach. (read it on another thread in StackOverflow). So, is the approach that I am taking above not correct? How do we execute the Mono streams that no one subscribes to?
Answering your concern number 2 (which seems to be the only real doubt in your question). Not really. block()
( https://projectreactor.io/docs/core/release/api/reactor/core/publisher/Mono.html#block-- ) is the one that subscribes to a Mono
or Flux
and waits indefinitely until a next signal is received. On the other hand subscribe()
( https://projectreactor.io/docs/core/release/api/reactor/core/publisher/Mono.html#subscribe-- ) subscribes to a Mono
or Flux
but it doesn't block and instead reacts when an element is emitted.
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.