如何在 Arrow + Reactor Monad 理解中异步执行

How to execute asyncronously inside an Arrow + Reactor Monad comprehension

在下面的代码中,每个 helloX() 方法 运行 都是异步的(它是一个延迟的 Mono,运行 在单独的线程中),请参阅下面的完整代码):

    override fun helloEverybody(): Kind<ForMonoK, String> {
        return MonoK.monad().fx.monad {
            val j = !helloJoey()
            val j2 = !helloJohn()
            val j3 = !helloMary()
            "$j and $j2 and $j3"
        }.fix()
    }

但是在日志中我看到它们是运行 seucentially:

14:10:46.983 [main] DEBUG reactor.util.Loggers$LoggerFactory - Using Slf4j logging framework
14:10:47.084 [elastic-2] INFO com.codependent.kotlinarrow.service.HelloServiceImpl - helloJoey()
14:10:49.087 [elastic-2] INFO com.codependent.kotlinarrow.service.HelloServiceImpl - helloJoey() - ready
14:10:49.090 [elastic-3] INFO com.codependent.kotlinarrow.service.HelloServiceImpl - helloJohn()
14:10:54.091 [elastic-3] INFO com.codependent.kotlinarrow.service.HelloServiceImpl - helloJohn() - ready
14:10:54.092 [elastic-2] INFO com.codependent.kotlinarrow.service.HelloServiceImpl - helloMary()
14:10:59.095 [elastic-2] INFO com.codependent.kotlinarrow.service.HelloServiceImpl - helloMary() - ready
hello Joey and hello John and hello Mary

我怎样才能使它们并行执行并在所有结果都完成后汇总 monad 理解中的所有结果?

包含 main 方法的完整代码():

class HelloServiceImpl : HelloService<ForMonoK> {

    private val logger = LoggerFactory.getLogger(javaClass)

    override fun helloEverybody(): Kind<ForMonoK, String> {
        return MonoK.monad().fx.monad {
            val j = !helloJoey()
            val j2 = !helloJohn()
            val j3 = !helloMary()
            "$j and $j2 and $j3"
        }.fix()
    }

    override fun helloJoey(): Kind<ForMonoK, String> {
        return Mono.defer {
            logger.info("helloJoey()")
            sleep(2000)
            logger.info("helloJoey() - ready")
            Mono.just("hello Joey")
        }.subscribeOn(Schedulers.elastic()).k()
    }

    override fun helloJohn(): Kind<ForMonoK, String> {
        return Mono.defer {
            logger.info("helloJohn()")
            sleep(5000)
            logger.info("helloJohn() - ready")
            Mono.just("hello John")
        }.subscribeOn(Schedulers.elastic()).k()
    }

    override fun helloMary(): Kind<ForMonoK, String> {
        return Mono.defer {
            logger.info("helloMary()")
            sleep(5000)
            logger.info("helloMary() - ready")
            Mono.just("hello Mary")
        }.subscribeOn(Schedulers.elastic()).k()
    }

}

fun main() {
    val countDownLatch = CountDownLatch(1)
    HelloServiceImpl().helloEverybody().fix().mono.subscribe {
        println(it)
        countDownLatch.countDown()
    }
    countDownLatch.await()
}

更新

我已经调整了将顺序操作与并行操作相结合的方法:

    override fun helloEverybody(): Kind<ForMonoK, String> {
        return MonoK.async().fx.async {
            val j = helloJoey().bind()
            val j2= Dispatchers.IO
                    .parMapN(helloJohn(), helloMary()){ it1, it2 -> "$it1 and $it2" }
            "$j and $j2"
        }
    }

不幸的是 parMapN 不能与 ForMonoK 一起使用:

Type inference failed: fun <A, B, C, D> CoroutineContext.parMapN(fa: Kind<ForIO, A>, fb: Kind<ForIO, B>, fc: Kind<ForIO, C>, f: (A, B, C) -> D): IO<D>
cannot be applied to
receiver: CoroutineDispatcher  arguments: (Kind<ForMonoK, String>,Kind<ForMonoK, String>,Kind<ForMonoK, String>,(String, String, String) -> String)

想法?

flatMap,与map相同,没有线程语义或并行性。您所追求的是 parMapparTraverse,它们并行运行多个 MonoK

那时 fx 块就变得必不可少了,因为它是为顺序操作而设计的。您可以混合搭配两者。

MonoK.async().fx.async {

  val result = 
    Dispatchers.IO
     .parMap(helloJoey(), helloMary()) { joe, mary -> ... }
     .bind()

  otherThing(result).bind()

}