concatMap 在前一个内部observable 完成后才会订阅下一个
这次我们来研究一下他的源码
export function concatMap<T, R, O extends ObservableInput<any>>(
project: (value: T, index: number) => O,
resultSelector?: (outerValue: T, innerValue: ObservedValueOf<O>, outerIndex: number, innerIndex: number) => R
): OperatorFunction<T, ObservedValueOf<O> | R> {
return isFunction(resultSelector) ? mergeMap(project, resultSelector, 1) : mergeMap(project, 1);
}
一般来说不传第二个
我们直接去看mergeMap(project, 1)
export function mergeMap<T, R, O extends ObservableInput<any>>(
project: (value: T, index: number) => O,
resultSelector?: ((outerValue: T, innerValue: ObservedValueOf<O>, outerIndex: number, innerIndex: number) => R) | number,
concurrent: number = Infinity
): OperatorFunction<T, ObservedValueOf<O> | R> {
if (isFunction(resultSelector)) {
// DEPRECATED PATH
return mergeMap((a, i) => map((b: any, ii: number) => resultSelector(a, b, i, ii))(innerFrom(project(a, i))), concurrent);
} else if (typeof resultSelector === 'number') {
concurrent = resultSelector;
}
return operate((source, subscriber) => mergeInternals(source, subscriber, project, concurrent));
}
这里堆resultSelector做了一次挪位，把数据赋值到了concurrent
然后调用operate((source, subscriber) => mergeInternals(source, subscriber, project, concurrent))
我们继续去看mergeInternals(source, subscriber, project, concurrent))
先贴源码再分析
export function mergeInternals<T, R>(
source: Observable<T>,
subscriber: Subscriber<R>,
project: (value: T, index: number) => ObservableInput<R>,
concurrent: number,
onBeforeNext?: (innerValue: R) => void,
expand?: boolean,
innerSubScheduler?: SchedulerLike,
additionalFinalizer?: () => void
) {
// Buffered values, in the event of going over our concurrency limit
const buffer: T[] = [];
// The number of active inner subscriptions.
let active = 0;
// An index to pass to our accumulator function
let index = 0;
// Whether or not the outer source has completed.
let isComplete = false;
/**
* Checks to see if we can complete our result or not.
*/
const checkComplete = () => {
// If the outer has completed, and nothing is left in the buffer,
// and we don't have any active inner subscriptions, then we can
// Emit the state and complete.
if (isComplete && !buffer.length && !active) {
subscriber.complete();
}
};
// If we're under our concurrency limit, just start the inner subscription, otherwise buffer and wait.
const outerNext = (value: T) => (active < concurrent ? doInnerSub(value) : buffer.push(value));
const doInnerSub = (value: T) => {
// If we're expanding, we need to emit the outer values and the inner values
// as the inners will "become outers" in a way as they are recursively fed
// back to the projection mechanism.
expand && subscriber.next(value as any);
// Increment the number of active subscriptions so we can track it
// against our concurrency limit later.
active++;
// A flag used to show that the inner observable completed.
// This is checked during finalization to see if we should
// move to the next item in the buffer, if there is on.
let innerComplete = false;
// Start our inner subscription.
innerFrom(project(value, index++)).subscribe(
createOperatorSubscriber(
subscriber,
(innerValue) => {
// `mergeScan` has additional handling here. For example
// taking the inner value and updating state.
onBeforeNext?.(innerValue);
if (expand) {
// If we're expanding, then just recurse back to our outer
// handler. It will emit the value first thing.
outerNext(innerValue as any);
} else {
// Otherwise, emit the inner value.
subscriber.next(innerValue);
}
},
() => {
// Flag that we have completed, so we know to check the buffer
// during finalization.
innerComplete = true;
},
// Errors are passed to the destination.
undefined,
() => {
// During finalization, if the inner completed (it wasn't errored or
// cancelled), then we want to try the next item in the buffer if
// there is one.
if (innerComplete) {
// We have to wrap this in a try/catch because it happens during
// finalization, possibly asynchronously, and we want to pass
// any errors that happen (like in a projection function) to
// the outer Subscriber.
try {
// INNER SOURCE COMPLETE
// Decrement the active count to ensure that the next time
// we try to call `doInnerSub`, the number is accurate.
active--;
// If we have more values in the buffer, try to process those
// Note that this call will increment `active` ahead of the
// next conditional, if there were any more inner subscriptions
// to start.
while (buffer.length && active < concurrent) {
const bufferedValue = buffer.shift()!;
// Particularly for `expand`, we need to check to see if a scheduler was provided
// for when we want to start our inner subscription. Otherwise, we just start
// are next inner subscription.
if (innerSubScheduler) {
executeSchedule(subscriber, innerSubScheduler, () => doInnerSub(bufferedValue));
} else {
doInnerSub(bufferedValue);
}
}
// Check to see if we can complete, and complete if so.
checkComplete();
} catch (err) {
subscriber.error(err);
}
}
}
)
);
};
// Subscribe to our source observable.
source.subscribe(
createOperatorSubscriber(subscriber, outerNext, () => {
// Outer completed, make a note of it, and check to see if we can complete everything.
isComplete = true;
checkComplete();
})
);
// Additional finalization (for when the destination is torn down).
// Other finalization is added implicitly via subscription above.
return () => {
additionalFinalizer?.();
};
}
首先声明了一些初始化变量和函数，然后调用
// Subscribe to our source observable.
source.subscribe(
createOperatorSubscriber(subscriber, outerNext, () => {
// Outer completed, make a note of it, and check to see if we can complete everything.
isComplete = true;
checkComplete();
})
);
这里是对父订阅，参数是子订阅者和next函数，以及complete函数
如果父触发了就会回调outerNext，我们去看看源码
const outerNext = (value: T) => (active < concurrent ? doInnerSub(value) : buffer.push(value));
这里是一个事件判断，是否活跃事件小于最大事件，如果是则调用doInnerSub，不是则缓存一下
我们直接去看一下doInnerSub
const doInnerSub = (value: T) => {
// If we're expanding, we need to emit the outer values and the inner values
// as the inners will "become outers" in a way as they are recursively fed
// back to the projection mechanism.
expand && subscriber.next(value as any);
// Increment the number of active subscriptions so we can track it
// against our concurrency limit later.
active++;
// A flag used to show that the inner observable completed.
// This is checked during finalization to see if we should
// move to the next item in the buffer, if there is on.
let innerComplete = false;
// Start our inner subscription.
innerFrom(project(value, index++)).subscribe(
createOperatorSubscriber(
subscriber,
(innerValue) => {
// `mergeScan` has additional handling here. For example
// taking the inner value and updating state.
onBeforeNext?.(innerValue);
if (expand) {
// If we're expanding, then just recurse back to our outer
// handler. It will emit the value first thing.
outerNext(innerValue as any);
} else {
// Otherwise, emit the inner value.
subscriber.next(innerValue);
}
},
() => {
// Flag that we have completed, so we know to check the buffer
// during finalization.
innerComplete = true;
},
// Errors are passed to the destination.
undefined,
() => {
// During finalization, if the inner completed (it wasn't errored or
// cancelled), then we want to try the next item in the buffer if
// there is one.
if (innerComplete) {
// We have to wrap this in a try/catch because it happens during
// finalization, possibly asynchronously, and we want to pass
// any errors that happen (like in a projection function) to
// the outer Subscriber.
try {
// INNER SOURCE COMPLETE
// Decrement the active count to ensure that the next time
// we try to call `doInnerSub`, the number is accurate.
active--;
// If we have more values in the buffer, try to process those
// Note that this call will increment `active` ahead of the
// next conditional, if there were any more inner subscriptions
// to start.
while (buffer.length && active < concurrent) {
const bufferedValue = buffer.shift()!;
// Particularly for `expand`, we need to check to see if a scheduler was provided
// for when we want to start our inner subscription. Otherwise, we just start
// are next inner subscription.
if (innerSubScheduler) {
executeSchedule(subscriber, innerSubScheduler, () => doInnerSub(bufferedValue));
} else {
doInnerSub(bufferedValue);
}
}
// Check to see if we can complete, and complete if so.
checkComplete();
} catch (err) {
subscriber.error(err);
}
}
}
)
);
};
expand忽略，不属于主流程
active是活跃事件数
innerComplete内部未完成标识
innerFrom(project(value, index++))最后返回了我们自定义函数返回的一个观察者
createOperatorSubscriber内的则较为简单，只是一个函数封装
export function createOperatorSubscriber<T>(
destination: Subscriber<any>,
onNext?: (value: T) => void,
onComplete?: () => void,
onError?: (err: any) => void,
onFinalize?: () => void
): Subscriber<T> {
return new OperatorSubscriber(destination, onNext, onComplete, onError, onFinalize);
}
如果我们返回的观察者调用了next则会走到subscriber.next(innerValue);中
(innerValue) => {
// `mergeScan` has additional handling here. For example
// taking the inner value and updating state.
onBeforeNext?.(innerValue);
if (expand) {
// If we're expanding, then just recurse back to our outer
// handler. It will emit the value first thing.
outerNext(innerValue as any);
} else {
// Otherwise, emit the inner value.
subscriber.next(innerValue);
}
}
当观察者流结束则会调用createOperatorSubscriber内部的onComplete函数
function (this: OperatorSubscriber<T>) {
try {
onComplete();
} catch (err) {
// Send any errors that occur down stream.
destination.error(err);
} finally {
// Ensure finalization.
this.unsubscribe();
}
}
发现调用了我们自身的onComplete函数也就是
() => {
// Flag that we have completed, so we know to check the buffer
// during finalization.
innerComplete = true;
},
然后调用了this.unsubscribe();也就是
unsubscribe() {
if (!this.shouldUnsubscribe || this.shouldUnsubscribe()) {
const { closed } = this;
super.unsubscribe();
// Execute additional teardown if we have any and we didn't already do so.
!closed && this.onFinalize?.();
}
}
因为shouldUnsubscribe 没传，所以一定会调用到 this.onFinalize
就会走到
() => {
// During finalization, if the inner completed (it wasn't errored or
// cancelled), then we want to try the next item in the buffer if
// there is one.
if (innerComplete) {
// We have to wrap this in a try/catch because it happens during
// finalization, possibly asynchronously, and we want to pass
// any errors that happen (like in a projection function) to
// the outer Subscriber.
try {
// INNER SOURCE COMPLETE
// Decrement the active count to ensure that the next time
// we try to call `doInnerSub`, the number is accurate.
active--;
// If we have more values in the buffer, try to process those
// Note that this call will increment `active` ahead of the
// next conditional, if there were any more inner subscriptions
// to start.
while (buffer.length && active < concurrent) {
const bufferedValue = buffer.shift()!;
// Particularly for `expand`, we need to check to see if a scheduler was provided
// for when we want to start our inner subscription. Otherwise, we just start
// are next inner subscription.
if (innerSubScheduler) {
executeSchedule(subscriber, innerSubScheduler, () => doInnerSub(bufferedValue));
} else {
doInnerSub(bufferedValue);
}
}
// Check to see if we can complete, and complete if so.
checkComplete();
} catch (err) {
subscriber.error(err);
}
}
}
判断是否已完成，然后递归buffer，如果存在buffer就开始下一轮，然后最后进行checkComplete收尾工作
const checkComplete = () => {
// If the outer has completed, and nothing is left in the buffer,
// and we don't have any active inner subscriptions, then we can
// Emit the state and complete.
if (isComplete && !buffer.length && !active) {
subscriber.complete();
}
};
这里进行了活跃判断，buffer缓存长度以及是否订阅了父观察者，都符合则调用完成
注意这个函数还有其他调用
在对父观察者进行调用的时候也进行了判断isComplete为true以及检查checkComplete
核心思路就是必须等待父关闭，以及所有的产生的流也都关闭。
// Subscribe to our source observable.
source.subscribe(
createOperatorSubscriber(subscriber, outerNext, () => {
// Outer completed, make a note of it, and check to see if we can complete everything.
isComplete = true;
checkComplete();
})
);
那到这里我们就阅读了concatMap的源码啦~
结语
撒花~
置顶卡
沉默卡
照妖镜