Kotlin协程基础-CoroutineContext

一、协程上下文CoroutineContext

CoroutineContext是协程的上下文，它的使用场景很多。

1.CoroutineScope的launch扩展函数的第一个参数就是CoroutineContext，默认值是EmptyCoroutineContext。

public fun CoroutineScope.launch(
    context: CoroutineContext = EmptyCoroutineContext,
    start: CoroutineStart = CoroutineStart.DEFAULT,
    block: suspend CoroutineScope.() -> Unit
): Job {
    ......
}

2.withContext() 函数的参数中也有CoroutineContext。

public suspend fun  withContext(
    context: CoroutineContext,
    block: suspend CoroutineScope.() -> T
): T {
    ......
}

suspend fun getUserInfo(): String {
    printCoroutine("Before IO Context")
    withContext(Dispatchers.IO) {
        printCoroutine("In IO Context")
        delay(1000L)
    }
    printCoroutine("After IO Context")
    return "David"
}

 runBlocking {
        val userInfo = getUserInfo()
        printCoroutine(userInfo)
    }

fun printCoroutine(any: Any?) {
    println("" + any + ";Thread:" + Thread.currentThread().name)
}


Log：

Before IO Context;Thread:main @coroutine#1
In IO Context;Thread:DefaultDispatcher-worker-1 @coroutine#1
After IO Context;Thread:main @coroutine#1
David;Thread:main @coroutine#1

withContext() 指定Dispatchers.IO以后，Lambda 当中的代码就会被分发到 DefaultDispatcher 线程池中去执行，而它外部的所有代码仍然还是运行在 main 线程上。

在runBlocking中传入Dispatchers.IO，则所有的代码都运行在 DefaultDispatcher 这个线程池当中了。

  runBlocking(Dispatchers.IO) {
        val userInfo = getUserInfo()
        printCoroutine(userInfo)
    }


suspend fun getUserInfo(): String {
    printCoroutine("Before IO Context")
    withContext(Dispatchers.IO) {
        printCoroutine("In IO Context")
        delay(1000L)
    }
    printCoroutine("After IO Context")
    return "David"
}


Log:

Before IO Context;Thread:DefaultDispatcher-worker-1 @coroutine#1
In IO Context;Thread:DefaultDispatcher-worker-1 @coroutine#1
After IO Context;Thread:DefaultDispatcher-worker-1 @coroutine#1
David;Thread:DefaultDispatcher-worker-1 @coroutine#1

3.内置 Dispatcher

Dispatchers.Main 在 UI 编程平台才有意义，比如Android的Main线程。

Dispatchers.Unconfined 可能运行在任意线程之上。

Dispatchers.Default 用于CPU 密集型任务的线程池。一般来说，它内部的线程个数是与机器 CPU 核心数量保持一致的，不过它有一个最小限制 2。

Dispatchers.IO  用于 IO 密集型任务的线程池。具体线程的数量可以通过参数来配置：kotlinx.coroutines.io.parallelism。

注意:Dispatchers.IO 底层是可能复用 Dispatchers.Default 当中的线程的。

suspend fun getUserInfo(): String {
    printCoroutine("Before IO Context")
    withContext(Dispatchers.IO) {
        printCoroutine("In IO Context")
        delay(1000L)
    }
    printCoroutine("After IO Context")
    return "David"
}

  runBlocking(Dispatchers.Default) {
        val userInfo = getUserInfo()
        printCoroutine(userInfo)
    }

Log:
Before IO Context;Thread:DefaultDispatcher-worker-1 @coroutine#1
In IO Context;Thread:DefaultDispatcher-worker-2 @coroutine#1
After IO Context;Thread:DefaultDispatcher-worker-2 @coroutine#1
David;Thread:DefaultDispatcher-worker-2 @coroutine#1

Dispatchers.Default 线程池当中有富余线程的时候，它是可以被 IO 线程池复用的。Dispatchers.Default 被 Dispatchers.IO 复用线程导致的。

4.使用自定义Dispatcher

 runBlocking(mySingleDispatcher) {
        val userInfo = getUserInfo()
        printCoroutine(userInfo)
    }


val mySingleDispatcher = Executors.newSingleThreadExecutor {
    Thread(it, "MySingleThread").apply {
        isDaemon = true
    }
}.asCoroutineDispatcher()

suspend fun getUserInfo(): String {
    printCoroutine("Before IO Context")
    withContext(Dispatchers.IO) {
        printCoroutine("In IO Context")
        delay(1000L)
    }
    printCoroutine("After IO Context")
    return "David"
}



Log:

Before IO Context;Thread:MySingleThread @coroutine#1
In IO Context;Thread:DefaultDispatcher-worker-1 @coroutine#1
After IO Context;Thread:MySingleThread @coroutine#1
David;Thread:MySingleThread @coroutine#1

 通过 asCoroutineDispatcher() 扩展函数，创建了一个 Dispatcher。Dispatcher 的本质仍然还是线程，协程运行在线程之上。当为 runBlocking 传入自定义的 mySingleDispatcher 以后，由于它底层只有一个线程，因此只有“In IO Context”是运行在 DefaultDispatcher 这个线程池的，其他代码都运行在 mySingleDispatcher 之上。

二、CoroutineContext 

1.CoroutineScope

public fun CoroutineScope.launch(
    context: CoroutineContext = EmptyCoroutineContext,
    start: CoroutineStart = CoroutineStart.DEFAULT,
    block: suspend CoroutineScope.() -> Unit
): Job {
    ......
}

public interface CoroutineScope {
    
    public val coroutineContext: CoroutineContext
}

 CoroutineScope是一个接口，而这个接口只有唯一的成员，就是 CoroutineContext。所以，CoroutineScope 只是对 CoroutineContext 做了一层封装而已，它的核心能力其实都来自于 CoroutineContext。

CoroutineScope 的作用:可以方便我们批量控制协程。

  runBlocking {
        val scope = CoroutineScope(Job())
        scope.launch {
            printCoroutine("First start!")
            delay(1000L)
            printCoroutine("First End!")
        }

        scope.launch {
            printCoroutine("Second start!")
            delay(1000L)
            printCoroutine("Second End!")
        }

        scope.launch {
            printCoroutine("Third start!")
            delay(1000L)
            printCoroutine("Third End!")
        }

        delay(500L)
        scope.cancel()
        delay(1000L)
    }

Log:

First start!;Thread:DefaultDispatcher-worker-1 @coroutine#2
Second start!;Thread:DefaultDispatcher-worker-2 @coroutine#3
Third start!;Thread:DefaultDispatcher-worker-3 @coroutine#4

2.Job 和 Dispatcher

 Job 继承自 CoroutineContext.Element，而 CoroutineContext.Element 继承自 CoroutineContext，Job 是间接继承自 CoroutineContext 的。所以说，Job 就是一个 CoroutineContext。

public interface Job : CoroutineContext.Element {
}

public interface CoroutineContext {
        public interface Element : CoroutineContext {
        }    
}

 CoroutineContext 本身的接口设计:

@SinceKotlin("1.3")
public interface CoroutineContext {
   
    public operator fun  get(key: Key): E?

    public fun  fold(initial: R, operation: (R, Element) -> R): R

    
    public operator fun plus(context: CoroutineContext): CoroutineContext =
        if (context === EmptyCoroutineContext) this else // fast path -- avoid lambda creation
            context.fold(this) { acc, element ->
                val removed = acc.minusKey(element.key)
                if (removed === EmptyCoroutineContext) element else {
                    // make sure interceptor is always last in the context (and thus is fast to get when present)
                    val interceptor = removed[ContinuationInterceptor]
                    if (interceptor == null) CombinedContext(removed, element) else {
                        val left = removed.minusKey(ContinuationInterceptor)
                        if (left === EmptyCoroutineContext) CombinedContext(element, interceptor) else
                            CombinedContext(CombinedContext(left, element), interceptor)
                    }
                }
            }

    
    public fun minusKey(key: Key<*>): CoroutineContext

   
    public interface Key

   
    public interface Element : CoroutineContext {
        
		
        public val key: Key<*>

        public override operator fun  get(key: Key): E? =
            @Suppress("UNCHECKED_CAST")
            if (this.key == key) this as E else null

        public override fun  fold(initial: R, operation: (R, Element) -> R): R =
            operation(initial, this)

        public override fun minusKey(key: Key<*>): CoroutineContext =
            if (this.key == key) EmptyCoroutineContext else this
    }
}

 从get()、plus()、minusKey()、fold() 看CoroutineContext 的接口设计，和 Map 十分类似。可以把 CoroutineContext 当作 Map 来用。

 runBlocking {
        val scope = CoroutineScope(Job() + mySingleDispatcher)
        scope.launch {
            printCoroutine(coroutineContext[CoroutineDispatcher] == mySingleDispatcher)
            delay(1000L)
            printCoroutine("First end!")
        }

        delay(500L)
        scope.cancel()
        delay(1000L)
    }

Log:

true;Thread:MySingleThread @coroutine#2

 使用了“Job() + mySingleDispatcher”这样的方式创建 CoroutineScope， CoroutineContext 的 plus() 进行了操作符重载。

public operator fun  plus(key: Key): E?

public operator fun  plus(key: Key): E?

创建出 scope 以后，后续创建的协程就全部都运行在 mySingleDispatcher 这个线程之上了。

public actual object Dispatchers {

    public actual val Default: CoroutineDispatcher = DefaultScheduler

    public actual val Main: MainCoroutineDispatcher get() = MainDispatcherLoader.dispatcher

    public actual val Unconfined: CoroutineDispatcher = kotlinx.coroutines.Unconfined

    public val IO: CoroutineDispatcher = DefaultIoScheduler

    public fun shutdown() {    }
}

public abstract class CoroutineDispatcher :
    AbstractCoroutineContextElement(ContinuationInterceptor), ContinuationInterceptor {}

public interface ContinuationInterceptor : CoroutineContext.Element {}

Dispatchers 其实是一个 object 单例，它的内部成员的类型是 CoroutineDispatcher，而它又是继承自 ContinuationInterceptor，这个类则是实现了 CoroutineContext.Element 接口。由此可见，Dispatcher 确实就是 CoroutineContext。

3.CoroutineName

 runBlocking {
        val scope = CoroutineScope(Job() + mySingleDispatcher)
        scope.launch(CoroutineName("MyFirstCoroutine!")) {
            printCoroutine(coroutineContext[CoroutineDispatcher] == mySingleDispatcher)
            delay(1000L)
            printCoroutine("First end!")
        }

        delay(500L)
        scope.cancel()
        delay(1000L)
    }

true;Thread:MySingleThread @MyFirstCoroutine!#2

调用 launch 的时候，传入了“CoroutineName(“MyFirstCoroutine!”)”作为协程的名字，得到了“@MyFirstCoroutine!#2”这样的输出。

4.CoroutineExceptionHandler

CoroutineExceptionHandler 的 handleException() 可以自定义异常处理器。

public interface CoroutineExceptionHandler : CoroutineContext.Element {

    public companion object Key : CoroutineContext.Key

    public fun handleException(context: CoroutineContext, exception: Throwable)
}

    runBlocking {
        val myExceptionHandler = CoroutineExceptionHandler{_,throwable->
            println("Catch exception: $throwable")
        }
        val scope = CoroutineScope(Job()+ mySingleDispatcher)
        val job = scope.launch(myExceptionHandler) {
            val s: String? = null
            s!!.length
        }
        job.join()
    }

Catch exception: java.lang.NullPointerException