Spring 网通 | 如何等到 Monos 列表并行完成执行

Question

I want to send n-number of requests to a REST endpoint in parallel.I want to make sure these get executed in different threads for performance and need to wait till all n requests finish.

Only way I could come up with is using CountDownLatch as follows (please check the main() method. This is testable code):

        public static void main(String args[]) throws Exception {
            
            int n = 10; //n is dynamic during runtime
    
            final CountDownLatch waitForNRequests = new CountDownLatch(n);
            //send n requests
            for (int i =0;i<n;i++) {
                var r = testRestCall(""+i);
                r.publishOn(Schedulers.parallel()).subscribe(res -> {
                    System.out.println(">>>>>>> Thread: " + Thread.currentThread().getName() + " response:" +res.getBody());
                    
                    waitForNRequests.countDown();
                });
            }
    
    
            waitForNRequests.await(); //wait till all n requests finish before goto the next line
    
            System.out.println("All n requests finished");
            Thread.sleep(10000); 
        }

 

public static Mono<ResponseEntity<Map>> testRestCall(String id) {
    
            WebClient client = WebClient.create("https://reqres.in/api");
    
            JSONObject request = new JSONObject();
            request.put("name", "user"+ id);
            request.put("job", "leader");
    
            var res = client.post().uri("/users")
                    .contentType(MediaType.APPLICATION_JSON)
                    .body(BodyInserters.fromValue(request.toString()))
    
                    .accept(MediaType.APPLICATION_JSON)
                    .retrieve()
                    .toEntity(Map.class)
                    .onErrorReturn(ResponseEntity.status(HttpStatus.SERVICE_UNAVAILABLE).build());
            return res;
    
        }
    

This doesnt look good and I am sure there is an elegant solution without using Latches..etc I tried following method,but I dont know how to resolve following issues :

1. Flux.merge(), contact() results in executing all n-requests in a single thread
2. How to wait till n-requests finish execution (fork-join)?

List<Mono<ResponseEntity<Map>>> lst = new ArrayList<>();
int n = 10; //n is dynamic during runtime
for (int i =0;i<n;i++) {
    var r = testRestCall(""+i);
    lst.add(r);
}

var t= Flux.fromIterable(lst).flatMap(Function.identity()); //tried merge() contact() as well
t.publishOn(Schedulers.parallel()).subscribe(res -> {
            System.out.println(">>>>>>> Thread: " + Thread.currentThread().getName() + " response:" +res.getBody());
            ///??? all requests execute in a single thread.How to parallelize ?
        });

//???How to wait till all n requests finish before goto the next line
System.out.println("All n requests finished");```

Answer 1

In reactive you think not about threads but about concurrency.

Reactor executes non-blocking/async tasks on a small number of threads using Schedulers abstraction to execute tasks. Schedulers have responsibilities very similar to ExecutorService . By default, for parallel scheduler number of threads is equal to number of CPU cores, but could be controlled by `reactor.schedulers.defaultPoolSize' system property.

In your example instead of creating multiple Mono and then merge them, better to use Flux and then process elements in parallel controlling concurrency.

Flux.range(1, 10)
    .flatMap(this::testRestCall)

By default, flatMap will process Queues.SMALL_BUFFER_SIZE = 256 number of in-flight inner sequences.

You could control concurrency flatMap(item -> process(item), concurrency) or use concatMap operator if you want to process sequentially. Check flatMap(..., int concurrency, int prefetch) for details.

Flux.range(1, 10)
    .flatMap(i -> testRestCall(i), 5)