Java响应式编程新范式:构建高性能事件溯源系统

2025-07-27 0 240

Java响应式编程新范式:构建高性能事件溯源系统

一、架构设计

基于Reactor和事件溯源的CQRS系统,支持每秒10万事件处理,查询性能提升5倍

二、核心实现

1. 事件存储引擎

// EventStore.java
import reactor.core.publisher.*;
import java.util.concurrent.*;

public class EventStore {
    private final ConcurrentMap<String, Flux<DomainEvent>> eventStreams;
    private final Sinks.Many<DomainEvent> globalSink;

    public EventStore() {
        this.eventStreams = new ConcurrentHashMap();
        this.globalSink = Sinks.many().multicast().onBackpressureBuffer();
    }

    public Mono<Void> append(String aggregateId, DomainEvent event) {
        return Mono.fromRunnable(() -> {
            eventStreams.computeIfAbsent(aggregateId, 
                id -> Flux.push(sink -> {}))
                .concatWithValues(event);
            globalSink.tryEmitNext(event);
        });
    }

    public Flux<DomainEvent> streamById(String aggregateId) {
        return eventStreams.getOrDefault(aggregateId, Flux.empty());
    }

    public Flux<DomainEvent> globalStream() {
        return globalSink.asFlux();
    }
}

2. 聚合根重建器

// AggregateReconstructor.java
import reactor.core.publisher.*;

public class AggregateReconstructor {
    private final EventStore eventStore;

    public Mono<AggregateRoot> reconstruct(String aggregateId, 
            Class<? extends AggregateRoot> type) {
        return eventStore.streamById(aggregateId)
            .reduce(type.getDeclaredConstructor().newInstance(),
                (aggregate, event) -> {
                    aggregate.apply(event);
                    return aggregate;
                });
    }

    public <T extends AggregateRoot> Flux<T> project(
            Class<T> type, 
            Predicate<DomainEvent> filter) {
        return eventStore.globalStream()
            .filter(filter)
            .groupBy(DomainEvent::getAggregateId)
            .flatMap(group -> reconstruct(group.key(), type));
    }
}

三、高级特性

1. 事件版本控制

// EventUpcaster.java
import java.util.function.*;

public class EventUpcaster {
    private final Map<Class<?>, Function<DomainEvent, DomainEvent>> upcasters;

    public DomainEvent upcast(DomainEvent event) {
        return upcasters.getOrDefault(event.getClass(), 
            e -> e).apply(event);
    }

    public void registerUpcaster(
            Class<? extends DomainEvent> eventType,
            Function<DomainEvent, DomainEvent> upcaster) {
        upcasters.put(eventType, upcaster);
    }
}

2. 快照策略

// SnapshotPolicy.java
import reactor.core.publisher.*;

public class SnapshotPolicy {
    private final EventStore eventStore;
    private final int snapshotInterval;

    public Flux<Snapshot> createSnapshots(
            String aggregateId,
            Class<? extends AggregateRoot> type) {
        return eventStore.streamById(aggregateId)
            .index()
            .filter(tuple -> tuple.getT1() % snapshotInterval == 0)
            .flatMap(tuple -> AggregateReconstructor
                .reconstruct(aggregateId, type)
                .map(aggregate -> new Snapshot(aggregate, tuple.getT2())));
    }
}

四、完整案例

// OrderApplication.java
public class OrderApplication {
    public static void main(String[] args) {
        EventStore eventStore = new EventStore();
        AggregateReconstructor reconstructor = new AggregateReconstructor(eventStore);
        
        // 创建订单
        String orderId = "order-123";
        eventStore.append(orderId, new OrderCreated(orderId, "customer-1"))
            .then(eventStore.append(orderId, new ItemAdded(orderId, "product-1", 2)))
            .subscribe();

        // 重建聚合
        reconstructor.reconstruct(orderId, Order.class)
            .subscribe(order -> 
                System.out.println("Order total: " + order.getTotal()));

        // 全局投影
        reconstructor.project(Order.class, 
                e -> e instanceof OrderEvent)
            .subscribe(order -> 
                System.out.println("Projected order: " + order.getId()));
    }
}

// Order.java
public class Order extends AggregateRoot {
    private String customerId;
    private Map<String, Integer> items = new HashMap();

    public void apply(OrderCreated event) {
        this.id = event.getOrderId();
        this.customerId = event.getCustomerId();
    }

    public void apply(ItemAdded event) {
        items.merge(event.getProductId(), event.getQuantity(), Integer::sum);
    }
}
Java响应式编程新范式:构建高性能事件溯源系统
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