Mono 的执行流程

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前言

本文主要同时简单的示例来分析一下Mono在发布订阅过程中的执行流程。

一、示例

	@Test
    public void executeProcessTest() {
    
        Mono.just("hello mono")
                .filter(v -> v != null)
                .map(v -> v + " map")
                .defaultIfEmpty("default value")
                .subscribe(System.out::println);
    }

二、流程

1、构建数据发布者

（1）Mono.just(“hello mono”)

返回 MonoJust，包装值

public static <T> Mono<T> just(T data) {
    
		return onAssembly(new MonoJust<>(data));
	}

MonoJust(T value) {
    
		this.value = Objects.requireNonNull(value, "value");
	}

（2）filter

返回 MonoFilterFuseable ，包装 MonoJust 和 predicate

public final Mono<T> filter(final Predicate<? super T> tester) {
    
		if (this instanceof Fuseable) {
    
			return onAssembly(new MonoFilterFuseable<>(this, tester));
		}
		return onAssembly(new MonoFilter<>(this, tester));
	}

MonoFilterFuseable(Mono<? extends T> source, Predicate<? super T> predicate) {
    
		super(source);
		this.predicate = Objects.requireNonNull(predicate, "predicate");
	}

（3）map

返回 MonoMapFuseable 包装 MonoFilterFuseable 和 mapper

public final <R> Mono<R> map(Function<? super T, ? extends R> mapper) {
    
		if (this instanceof Fuseable) {
    
			return onAssembly(new MonoMapFuseable<>(this, mapper));
		}
		return onAssembly(new MonoMap<>(this, mapper));
	}

MonoMapFuseable(Mono<? extends T> source, Function<? super T, ? extends R> mapper) {
    
		super(source);
		this.mapper = Objects.requireNonNull(mapper, "mapper");
	}

（4）defaultIfEmpty

返回MonoDefaultIfEmpty，包装 MonoMapFuseable 和 defaultValue

public final Mono<T> defaultIfEmpty(T defaultV) {
    
	    if (this instanceof Fuseable.ScalarCallable) {
    
		    try {
    
			    T v = block();
			    if (v == null) {
    
				    return Mono.just(defaultV);
			    }
		    }
		    catch (Throwable e) {
    
			    //leave MonoError returns as this
		    }
		    return this;
	    }
		return onAssembly(new MonoDefaultIfEmpty<>(this, defaultV));
	}

 MonoDefaultIfEmpty(Mono<? extends T> source, T defaultValue) {
    
        super(source);
        this.defaultValue = Objects.requireNonNull(defaultValue, "defaultValue");
    }

数据发布者的发布流程：

数据 -> MonoJust -> MonoFilterFuseable -> MonoMapFuseable -> MonoDefaultIfEmpty

2、构建数据订阅者

从示例中的 subscribe() 开始

（1） subscribe()

传入 consumer 消费者

public final Disposable subscribe(Consumer<? super T> consumer) {
    
		Objects.requireNonNull(consumer, "consumer");
		return subscribe(consumer, null, null);
	}

public final Disposable subscribe(
			@Nullable Consumer<? super T> consumer,
			@Nullable Consumer<? super Throwable> errorConsumer,
			@Nullable Runnable completeConsumer) {
    
		return subscribe(consumer, errorConsumer, completeConsumer, (Context) null);
	}

public final Disposable subscribe(
			@Nullable Consumer<? super T> consumer,
			@Nullable Consumer<? super Throwable> errorConsumer,
			@Nullable Runnable completeConsumer,
			@Nullable Context initialContext) {
    
		return subscribeWith(new LambdaMonoSubscriber<>(consumer, errorConsumer,
				completeConsumer, null, initialContext));
	}

创建 LambdaMonoSubscriber 对象，包装最终的消费者consumer

（2）subscribeWith()

public final <E extends Subscriber<? super T>> E subscribeWith(E subscriber) {
    
		subscribe(subscriber);
		return subscriber;
	}

public final void subscribe(Subscriber<? super T> actual) {
    
		//最后一层发布者，这里是 MonoDefaultIfEmpty
		CorePublisher publisher = Operators.onLastAssembly(this);
		//最后一层订阅者，这里是 LambdaMonoSubscriber 
		CoreSubscriber subscriber = Operators.toCoreSubscriber(actual);
		
		//发布者与订阅者建立联系
		try {
    
			if (publisher instanceof OptimizableOperator) {
    
				OptimizableOperator operator = (OptimizableOperator) publisher;
				while (true) {
    
					subscriber = operator.subscribeOrReturn(subscriber);
					if (subscriber == null) {
    
						// null means "I will subscribe myself", returning...
						return;
					}

					OptimizableOperator newSource = operator.nextOptimizableSource();
					if (newSource == null) {
    
						publisher = operator.source();
						break;
					}
					operator = newSource;
				}
			}
			
			//发布者发布数据给订阅者
			publisher.subscribe(subscriber);
		}
		catch (Throwable e) {
    
			Operators.reportThrowInSubscribe(subscriber, e);
			return;
		}
	}

（3）发布者与订阅者建立联系的过程

核心方法：

subscriber = operator.subscribeOrReturn(subscriber);

a). operator 是 MonoDefaultIfEmpty，subscriber 是 LambdaMonoSubscriber

返回 DefaultIfEmptySubscriber，作为 LambdaMonoSubscriber 的发布者

@Override
    public CoreSubscriber<? super T> subscribeOrReturn(CoreSubscriber<? super T> actual) {
    
        return new FluxDefaultIfEmpty.DefaultIfEmptySubscriber<>(actual, defaultValue);
    }

b). operator 是 MonoMapFuseable ，subscriber 是 DefaultIfEmptySubscriber

返回 MapFuseableSubscriber，作为 DefaultIfEmptySubscriber 的发布者

public CoreSubscriber<? super T> subscribeOrReturn(CoreSubscriber<? super R> actual) {
    
		if (actual instanceof ConditionalSubscriber) {
    
			ConditionalSubscriber<? super R> cs = (ConditionalSubscriber<? super R>) actual;
			return new FluxMapFuseable.MapFuseableConditionalSubscriber<>(cs, mapper);
		}
		return new FluxMapFuseable.MapFuseableSubscriber<>(actual, mapper);
	}

c).operator 是 MonoFilterFuseable ，subscriber 是 MapFuseableSubscriber

返回 FilterFuseableSubscriber，作为 MapFuseableSubscriber 的发布者

public CoreSubscriber<? super T> subscribeOrReturn(CoreSubscriber<? super T> actual) {
    
		if (actual instanceof ConditionalSubscriber) {
    
			return new FluxFilterFuseable.FilterFuseableConditionalSubscriber<>((ConditionalSubscriber<? super T>) actual, predicate);
		}
		return new FluxFilterFuseable.FilterFuseableSubscriber<>(actual, predicate);
	}

此时发布者与订阅者关系：

FilterFuseableSubscriber -> MapFuseableSubscriber -> DefaultIfEmptySubscriber -> LambdaMonoSubscriber -> consumer

3、建立订阅关系

publisher.subscribe(subscriber);

此时publisher 是 MonoJust， subscriber 是 FilterFuseableSubscriber
创建 scalarSubscription ，包装 FilterFuseableSubscriber

	@Override
	public void subscribe(CoreSubscriber<? super T> actual) {
    
		actual.onSubscribe(Operators.scalarSubscription(actual, value));
	}

根据发布订阅关系依次调用订阅者的 onSubscribe() 建立订阅关系

FilterFuseableSubscriber -> MapFuseableSubscriber -> DefaultIfEmptySubscriber -> LambdaMonoSubscriber

进入 LambdaMonoSubscriber 的 onSubscribe()

	@Override
	public final void onSubscribe(Subscription s) {
    
		if (Operators.validate(subscription, s)) {
    
			this.subscription = s;

			if (subscriptionConsumer != null) {
    
				try {
    
					subscriptionConsumer.accept(s);
				}
				catch (Throwable t) {
    
					Exceptions.throwIfFatal(t);
					s.cancel();
					onError(t);
				}
			}
			else {
    
				//请求数据
				s.request(Long.MAX_VALUE);
			}

		}
	}

4、请求数据

通过订阅关系调用 request() 请求数据,

s.request(Long.MAX_VALUE);

即根据下面的关系链反向请求数据

FilterFuseableSubscriber -> MapFuseableSubscriber -> DefaultIfEmptySubscriber -> LambdaMonoSubscriber

最终到了 Operators 类中

		@Override
		public void request(long n) {
    
			if (validate(n)) {
    
				if (ONCE.compareAndSet(this, 0, 1)) {
    
					Subscriber<? super T> a = actual;
					//发布数据
					a.onNext(value);
					if(once != 2) {
    
						//发布完成
						a.onComplete();
					}
				}
			}
		}

5、发布数据

从 FilterFuseableSubscriber 开始调用 onNext() 发布数据，根据依次发布给各自的订阅者，最终数据到了最后一个订阅者 LambdaMonoSubscriber

    LambdaMonoSubscriber.java

	@Override
	public final void onNext(T x) {
    
		Subscription s = S.getAndSet(this, Operators.cancelledSubscription());
		if (s == Operators.cancelledSubscription()) {
    
			Operators.onNextDropped(x, this.initialContext);
			return;
		}
		if (consumer != null) {
    
			try {
    
				//最终调用 consumer 消费数据
				consumer.accept(x);
			}
			catch (Throwable t) {
    
				Exceptions.throwIfFatal(t);
				s.cancel();
				doError(t);
			}
		}
		if (completeConsumer != null) {
    
			try {
    
				completeConsumer.run();
			}
			catch (Throwable t) {
    
				Operators.onErrorDropped(t, this.initialContext);
			}
		}
	}

6、发布完成

在数据发布依次到消费者消费后，进入第4步中的 a.onComplete();

依次调用各自的订阅者调用 onComplete()。