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5 基本原理\n本书是 RxJS 的初中级书,适用于任何想要入门 RxJS 的开发者。\n可以在推特上@我提问,评论或以兹鼓励,我的推特账号是 chris_noring,我在那等着你们。\n阅读本书不必遵循特定的顺序,但如果你是 RxJS 新手的话建议先看一些基础篇章,比如 Observable、Observer 和 Producer\n本书仍在编写的过程中,所以章节有可能添加和修改,但随着时间的流逝这种改动会越来越少,另外说句,本书的编写工作是从2017年2月21日开始的..\n如果你喜欢 RxJS / RxJS 5 的话,请务必在推特上@ BenLesh 或 mattpodwysocki 等人并说句 thank you 或者 good job 。对于他们来说这意义非凡..\n我将本书同步至 GitHub 仓库中。如果你想参与贡献或帮忙纠错,请前往 https://github.com/softchris/Rxjs5-Ultimate 提 PR 。\nChris Noring\n\n译者的补充\n原书还有部分章节还未编写或需要补充 此中文书会保持与原书同步 有需要的可以保持关注\n电子书: pdf格式 | mobi格式 | epub格式\n\n"},"content/async-code.html":{"url":"content/async-code.html","title":"异步代码","keywords":"","body":"异步代码\n异步代码是指当调用后不会立即完成的代码。\nsetTimeout(() => {\n console.log('do stuff');\n}, 3000 )\n\n在 setTimeout 执行完3秒后 do stuff 会输出到控制台。我们可以看出当指定的时间过去后我们所提供的异步函数会触发。现在来看个更有启发性的示例:\ndoWork( () => {\n console.log('call me when done');\n})\n\nfunction doWork(cb){\n setTimeout( () => {\n cb();\n }, 3000)\n}\n\n另外一个回调函数代码的例子就是事件,这里使用了 jQuery 事件的写法。\ninput.on('click', () => {\n\n})\n\n回调函数和异步的要点通常来说就是一个或多个函数在未来某个时间点会被调用,而这个时间点是未知的。\n问题\n所以我们已经确定了回调函数可以是定时器、ajax 代码甚至是事件,但这一切有什么问题呢?\n简而言之就是 可读性\n想象一下执行下面的代码\nsyncCode() // 输出 1\nsyncCode2() // 输出 2\nasyncCode() // 输出 3\nsyncCode4() // 输出 4\n\n输出\n1,2,4,3\n\n因为异步方法需要时间才能完成,通过看代码是没有办法知道什么时候会完成。现在问题是如果我们想要得到 1,2,3,4 就需要考虑执行的顺序。\n我们可能需要调整一下回调函数的顺序,像这样:\nsyncCode()\nsyncCode()2\nasyncCode(()= > {\n syncCode4()\n})\n\n目前来说还是可读的,但稍微想象一下,我们的异步代码可能会变成这样:\nasyncCode(() => {\n asyncCode2(() => {\n asyncCode3() => {\n\n }\n })\n})\n\n这就是大家熟知的回调地狱(callback hell),就此打住吧 :)\n出于这个原因,于是 promises 开始出现了,之后我们就有了像这样的代码:\ngetData()\n .then(getMoreData)\n .then(getEvenMoreData)\n\n对于请求/响应模式,promise 已经足够好了,但对于更高级的异步场景,我敢说只有 RxJS 方能胜任。\n"},"content/why-rxjs.html":{"url":"content/why-rxjs.html","title":"为什么要用 RxJS","keywords":"","body":"为什么要用 RxJS\nPromises 欠缺如下能力:\n\n不能生产多个值\n不能重试\n不能真正地玩转其它异步思想\n\n"},"content/installation-and-setup.html":{"url":"content/installation-and-setup.html","title":"安装设置","keywords":"","body":"安装设置\n本章的内容取自官方文档,但我尝试为你提供一些更多的信息以了解为什么,而且将所有内容都放在一个位置也是个不错的选择。官方文档\nRxJS 库可以以多种不同的方式来使用,即 ES6、CommonJS 和 ES5/CDN 。\nES6\n安装\nnpm install rxjs\n\n设置\nimport Rx from 'rxjs/Rx';\n\nRx.Observable.of(1,2,3)\n\n陷阱\nimport Rx from 'rxjs/Rx' 语句会导入整个库。对于测试各种特性这很方便,但对于生产环境这就不是一个好主意了,因为 RxJS 本身是个重量级的库。在一个更现实的场景中,你可能想要使用下面这种方式,只导入实际要使用的操作符:\nimport { Observable } from 'rxjs/Observable';\nimport 'rxjs/add/observable/of';\nimport 'rxjs/add/operator/map';\n\nlet stream$ = Observable.of(1,2,3).map(x => x + '!!!');\n\nstream$.subscribe((val) => {\n console.log(val) // 1!!! 2!!! 3!!!\n})\n\nCommonJS\n安装方法同 ES6\n安装\nnpm install rxjs\n\n设置\n设置是不同的\n下面再次展示了对于测试非常便利的全部导入,但不适合在生产环境中使用\nvar Rx = require('rxjs/Rx');\n\nRx.Observable.of(1,2,3); // 等等\n\n更好的方式:\nlet Observable = require('rxjs/Observable').Observable;\n// 使用适合的方法为 Observable 打补丁\nrequire('rxjs/add/observable/of');\nrequire('rxjs/add/operator/map');\n\nObservable.of(1,2,3).map((x) => { return x + '!!!'; }); // 等等\n\n如你所见,require('rxjs/Observable') 只提供了 Rx 对象,而我们需要深入到下一层级以找到 Observable 。\n注意 require('path/to/operator') 用来获取应用中所需要导入的操作符。\nCDN 或 ES5\n如果我用的既不是 ES6,也不是 CommonJS 的话,那么还有另外一种方式:\n\n\n注意,这会引入完整的库。因为是从外部引用的,所以不会影响 bundle 的大小。\n"},"content/observable-anatomy.html":{"url":"content/observable-anatomy.html","title":"Observable 剖析","keywords":"","body":"Observable 剖析\nObservable 的 subscribe 方法签名如下:\nstream.subscribe(fnValue, fnError, fnComplete)\n\n下面所演示的是第一个参数 fnValue\nlet stream$ = Rx.Observable.create((observer) => {\n observer.next(1)\n});\n\nstream$.subscribe((data) => {\n console.log('Data', data);\n})\n\n// 1\n\n当执行 observer.next() 时, fnValue 就会被调用。\n第二个回调函数 fnError 是错误回调,通过下面的代码来调用,例如 observer.error()\nlet stream$ = Rx.Observable.create((observer) => {\n observer.error('error message');\n})\n\nstream$.subscribe(\n (data) => console.log('Data', data)),\n (error) => console.log('Error', error)\n\n最后是 fnComplete,当流完成时调用,并且不会再发出任何值。它是通过 observer.complete() 来触发的,像这样:\nlet stream$ = Rx.Observable.create((observer) => {\n // 多次调用 observer.next()\n observer.complete();\n})\n\nUnsubscribe\n目前为止,我们创建的是一个不负责任的 Observable 。在这里不负责任是指它并没有清理它自身。那么我们来看下如何做到这点:\nlet stream$ = new Rx.Observable.create((observer) => {\n let i = 0;\n let id = setInterval(() => {\n observer.next(i++);\n },1000)\n\n return function(){\n clearInterval( id );\n }\n})\n\nlet subscription = stream$.subscribe((value) => {\n console.log('Value', value)\n});\n\nsetTimeout(() => {\n subscription.unsubscribe() // 在这我们调用了清理函数\n\n}, 3000)\n\n所以你要确保\n\n定义一个清理函数\n通过调用 subscription.unsubscribe() 隐式的调用清理函数\n\n"},"content/observer.html":{"url":"content/observer.html","title":"Observer","keywords":"","body":"Observer (观察者)\n注意下面的代码示例创建了一个 Observable\nlet stream$ = Rx.Observables.create((observer) => {\n observer.next(4);\n})\n\ncreate 方法接收一个函数,该函数有一个入参 observer 。\nObserver 只是一个拥有 next、error 和 complete 三个方法的普通对象而已\nobserver.next(1);\nobserver.error('some error')\nobserver.complete();\n\n"},"content/producer.html":{"url":"content/producer.html","title":"Producer","keywords":"","body":"Producer (生产者)\nProducer 的任务是生产 Observable 所发出的值。\nclass Producer {\n constructor(){\n this.i = 0;\n }\n\n nextValue(){\n return i++;\n }\n}\n\n使用 Producer\nlet stream$ = Rx.Observable.create( (observer) => {\n observer.next( Producer.nextValue() )\n observer.next( Producer.nextValue() )\n})\n\n在 Observable Anatomy 章节中并没有在示例中使用 Producer,大多数 Observables 都是通过辅助方法创建的,在这些方法中会有内部的 Producer 来生产值,这些值通过 observer 的 observer.next 方法发出\n"},"content/observable.html":{"url":"content/observable.html","title":"Observable vs Promise","keywords":"","body":"Observable vs Promise\n我们来直奔主题。我们创建了一个叫为 Observable 的东西。它是一个异步的概念,与 Promise 非常相似,一旦数据达到就可以触发监听。\nlet stream$ = Rx.Observable.from([1,2,3])\n\nstream$.subscribe( (value) => {\n console.log('Value',value);\n})\n\n// 1,2,3\n\n如果使用 Promise 的话,相对应的写法如下:\nlet promise = new Promise((resolve, reject) => {\n setTimeout(()=> {\n resolve( [1,2,3] )\n })\n\n})\n\npromise.then((value) => {\n console.log('Value',data)\n})\n\nPromises 欠缺如下能力:\n\n不能生产多个值\n不能重试\n不能真正地玩转其它异步思想\n\n"},"content/observable-wrapping.html":{"url":"content/observable-wrapping.html","title":"Observable 包装","keywords":"","body":"Observable 包装\n在 Observable 剖析章节中我们只学到了关键操作符 next()、error() 和 complete(),如果是我们自己定义的 Observable 的话,可以使用这些方法来驱动 Observable 。我们还学到了,这些方法会触发相应的回调函数。\n用 Observable 包装意味着接收一些非 Observable 的东西并将其转换为 Observable,这样就可以很好的与其它 Observable 配合使用。同样还意味着现在我们可以使用操作符了。\n包装 ajax 调用\nlet stream = Rx.Observable.create((observer) => {\n let request = new XMLHttpRequest();\n\n request.open( ‘GET’, ‘url’ );\n request.onload =() =>{\n if(request.status === 200) {\n observer.next( request.response );\n observer.complete();\n } else {\n observer.error('error happened');\n }\n }\n\n request.onerror = () => { \n observer.error('error happened')\n }\n request.send();\n})\n\nstream.subscribe(\n (data) => console.log( data ) \n)\n\n这里我们需要做的三件事:发出数据、错误处理和关闭流\n发出数据\nif(request.status === 200) {\n observer.next( request.response ) // 发出数据\n\n}\n\n处理潜在的错误\nelse {\n observer.error('error happened');\n}\n\n关闭流\nif(request.status === 200) {\n observer.next( request.response )\n observer.complete() // 关闭流,因为我们不想要更多的数据了\n}\n\n包装语音音频 API\nconsole.clear();\n\n\nconst { Observable } = Rx;\n\nconst speechRecognition$ = new Observable(observer => {\n const speech = new webkitSpeechRecognition();\n\n speech.onresult = (event) => {\n observer.next(event);\n observer.complete();\n };\n\n speech.start();\n\n return () => {\n speech.stop();\n }\n});\n\nconst say = (text) => new Observable(observer => {\n const utterance = new SpeechSynthesisUtterance(text);\n utterance.onend = (e) => {\n observer.next(e);\n observer.complete();\n };\n speechSynthesis.speak(utterance);\n});\n\n\nconst button = document.querySelector(\"button\");\n\nconst heyClick$ = Observable.fromEvent(button, 'click');\n\nheyClick$\n .switchMap(e => speechRecognition$)\n .map(e => e.results[0][0].transcript)\n .map(text => {\n switch (text) {\n case 'I want':\n return 'candy';\n case 'hi':\n case 'ice ice':\n return 'baby';\n case 'hello':\n return 'Is it me you are looking for';\n case 'make me a sandwich':\n case 'get me a sandwich':\n return 'do it yo damn self';\n case 'why are you being so sexist':\n return 'you made me that way';\n default:\n return `I don't understand: \"${text}\"`;\n }\n })\n .concatMap(say)\n .subscribe(e => console.log(e));\n\n语音识别流\n这将激活浏览器的麦克风并记录我们的语音\nconst speechRecognition$ = new Observable(observer => {\n const speech = new webkitSpeechRecognition();\n\n speech.onresult = (event) => {\n observer.next(event);\n observer.complete();\n };\n\n speech.start();\n\n return () => {\n speech.stop();\n }\n});\n\n这段代码建立了语音识别 API,然后等待响应,并在响应一次后完成流,很像第一个使用 AJAX 的示例。\n注意还定义一个函数用来清理\nreturn () => {\n speech.stop();\n }\n\n所以我们可以通过调用 speechRecognition.unsubscribe() 来清理系统资源\n语音合成, say\n函数 say 负责发出你想要表达的语音。\nconst say = (text) => new Observable(observer => {\n const utterance = new SpeechSynthesisUtterance(text);\n utterance.onend = (e) => {\n observer.next(e);\n observer.complete();\n };\n speechSynthesis.speak(utterance);\n});\n\n主体流 hey$\nheyClick$\n .switchMap(e => speechRecognition$)\n .map(e => e.results[0][0].transcript)\n .map(text => {\n switch (text) {\n case 'I want':\n return 'candy';\n case 'hi':\n case 'ice ice':\n return 'baby';\n case 'hello':\n return 'Is it me you are looking for';\n case 'make me a sandwich':\n case 'get me a sandwich':\n return 'do it yo damn self';\n case 'why are you being so sexist':\n return 'you made me that way';\n default:\n return `I don't understand: \"${text}\"`;\n }\n })\n .concatMap(say)\n .subscribe(e => console.log(e));\n\n整体逻辑应该是这样的:点击按钮激活 heyClick$ 。speechRecognition$ 监听我们说了什么并把结果发送给 heyClick$ 的转换逻辑,转换逻辑的结果将由 say Observable 发出声音。\n这一切归功于 @ladyleet 和 @benlesh\n总结\n这两个 Observable 包装示例其中一个是简单些的 Ajax,而另一个是有一点点高级的语音 API 。但原理都是相同的: 1)数据是通过调用 next() 来发送的 2)如果没有更多的数据要发送则调用 complete() 3)如果有需要的话,定义一个清理函数可以通过 unsubscribe() 来调用 4)在合适的地方通过调用 error() 来进行错误处理。(只在第一个示例中这样做了)\n"},"content/hot-n-cold-observables.html":{"url":"content/hot-n-cold-observables.html","title":"热&冷的 Observables","keywords":"","body":"热&冷的 Observables\nObservable 有冷热两种类型。我们先来看看什么是冷的 observable 。如果是冷的 observable 的话,那么两个订阅者得到值是两份完全相同的副本,示例如下:\n// 冷的 observable 示例\nlet stream$ = Rx.Observable.of(1,2,3);\n//订阅者 1: 1,2,3\nstream.subscribe(\n data => console.log(data),\n err => console.error(err),\n () => console.log('completed')\n)\n\n//订阅者 2: 1,2,3\nstream.subscribe(\n data => console.log(data),\n err => console.error(err),\n () => console.log('completed')\n)\n\n如果是热的 observable 的话,订阅者只能收到当它开始订阅后的值,这很像是足球比赛的实况直播,如果你在开场5分钟后才开始观看,你会错失开场前5分钟的一切,从观看的这一刻起你才开始接收数据:\nlet liveStreaming$ = Rx.Observable.interval(1000).take(5);\n\nliveStreaming$.subscribe(\n data => console.log('subscriber from first minute')\n err => console.log(err),\n () => console.log('completed')\n)\n\nsetTimeout(() => {\n liveStreaming$.subscribe(\n data => console.log('subscriber from 2nd minute')\n err => console.log(err),\n () => console.log('completed')\n)\n},2000)\n\n由冷及热 - 凯蒂·佩里模式\n上面的示例其实并不是真正的热的 observable,事实上两个订阅者接收到的值都是0,1,2,3,4。因为这是一场足球比赛的实况直播,所以这样的结果并不是我们想要的,那么如何来修复呢?\n需要两个部件来将冷的 observable 转变成热的, publish() 和 connect() 。\nlet publisher$ = Rx.Observable\n.interval(1000)\n.take(5)\n.publish();\n\n\npublisher$.subscribe(\n data => console.log('subscriber from first minute',data),\n err => console.log(err),\n () => console.log('completed')\n)\n\nsetTimeout(() => {\n publisher$.subscribe(\n data => console.log('subscriber from 2nd minute', data),\n err => console.log(err),\n () => console.log('completed')\n )\n}, 3000)\n\n\npublisher$.connect();\n\n在这个案例中,我们看到第一个订阅者输出的是0,1,2,3,4,而第二个输出的是3,4。很明显订阅的时间点是很重要的。\n暖的 Observables\n这是 observalbes 的另外一种类型,它的表现很像热的 observable ,但它在某种程度上是惰性的。我想表达的是从本质上来说,在有订阅发生之前它们不会发出任何值。让我们来比较一下热的和暖的 observable\n热的 observable\nlet stream$ = Rx.Observable\n.interval(1000)\n.take(4)\n.publish();\n\nstream$.connect();\n\nsetTimeout(() => {\n stream$.subscribe(data => console.log(data))\n}, 2000);\n\n这里我们可以看到热的 observable 会丢失第一个发出的值,因为订阅是延迟发生的。\n和暖的 observable 进行下对比\n暖的 observable\nlet obs = Rx.Observable.interval(1000).take(3).publish().refCount();\n\nsetTimeout(() => {\n obs.subscribe(data => console.log('sub1', data));\n},1100)\n\nsetTimeout(() => {\n obs.subscribe(data => console.log('sub2', data));\n},2100)\n\nrefCount() 操作符确保 observable 变成暖的,也就是不会发出值直到 sub1 订阅了流。另一方面 sub2 是后加入的,也就是说订阅接收的是当前的值,而无法接收订阅之前的值。\n所以这个输出是:\nsub1 : 0\nsub1 : 1\nsub2 : 1\nsub1 : 2\nsub2 : 2\n\n如上面显示的,第一个订阅者是从0开始。如果它是热的话,它会从一个更大的数字开始,因为它是后加入的。当第二个订阅者达到时,它得到的第一个数字不是0而是1,这也说明了它确实变热了。\n天生的热 observables\n通常来说,如果 observable 的值被立即发出而不需要订阅者的话,那么就认为它是热的,一个最常见的例子就是 mousemove 。其它大多数热的 observables 都是通过使用 publish() 和 connect() ,或者使用 share() 操作符将冷的 observables 转变成热的结果。\n共享\n共享意味着要使用一个十分有用,叫做 share() 的操作符。想象一下你有这样一个普通的冷 observable:\nlet stream$ = Rx.Observable.create((observer) => {\n observer.next( 1 );\n observer.next( 2 );\n observer.next( 3 );\n observer.complete();\n}).share()\n\nstream$.subscribe(\n (data) => console.log('subscriber 1', data),\n err => console.error(err),\n () => console.log('completed')\n);\nstream$.subscribe(\n (data) => console.log('subscriber 2', data),\n err => console.error(err),\n () => console.log('completed')\n);\n\n如果在 observer.next(1) 打个断点,你会注意到它执行了两次,每个订阅者一次。这个行为是我们对冷的 observable 的期望。共享操作符用了一种不同的方式将其转换成热的 observable,事实上,它不仅在正确的条件下转变成热的 observable,而且在某些条件下可以回退成冷的 observable 。那么这些条件是?\n1) 创建热的 Observable: 当有新的订阅时 Observable 还未完成并且订阅者数量大于0\n2) 创建冷的 Observable 在新的订阅之前订阅者的数量已经变成了0,也就是说,一个或多个订阅存在过一段时间,但是在新的订阅发生前已经取消了订阅。\n3) 创建冷的 Observable 当新的订阅发生之前 Observable 已经完成\n结果就是一个活动的 Observable 要继续产生值至少要有一个存在的订阅者。我们可以看到情况1)中的 Observable 在第有两个订阅者之前是休眠的,当订阅发生时它会立即转变成热的从而开始共享数据。\n"},"content/operators.html":{"url":"content/operators.html","title":"操作符初窥","keywords":"","body":"操作符\n操作符赋予了 Observables 的强大。如果没有了操作符,Observables 将一无是处。RxJS 中有60+个操作符\n我们来看其中一些:\nof\nlet stream$ = Rx.Observable.of(1,2,3,4,5)\n\n这里我们使用了创建类型的操作符创建了 observable 。它实际上是同步的,所以值立即便输出了。事实上,它允许你用逗号分隔的要发出值的列表。\ndo\nlet stream$ =\nRx.Observable\n .of(1,2,3)\n .do((value) => {\n console.log('emits every value')\n });\n\n这是一个非常方便的操作符,用来调试 Observable 。\nfilter\nlet stream$ =\nRx.Observable\n.of(1,2,3,4,5)\n.filter((value) => {\n return value % 2 === 0;\n})\n\n// 2,4\n\n这样可以阻止某些值被发出\n不过请注意,可以将 do 操作符添加到一个合适的地方,并且仍然可以查看所有的值\nlet stream$ =\nRx.Observable\n.of(1,2,3,4,5)\n.do((value) => {\n console.log('do',value)\n})\n.filter((value) => {\n return value % 2 === 0;\n})\n\nstream$.subscribe((value) => {\n console.log('value', value)\n})\n\n// do: 1,do : 2, do : 3, do : 4, do: 5\n// value : 2, 4\n\n"},"content/marble-diagrams.html":{"url":"content/marble-diagrams.html","title":"弹珠图","keywords":"","body":"弹珠图 (Marble Diagrams)\n弹珠图是将一个或多个操作符应用于x个数据流的图形表示。它看起来像下面这样:\n---v-----v---->\n-------v------>\noperator\n---r---r------>\n\n主旨是使得操作符更容易理解。Rx Marbles 涵盖了 RxJS 中的绝大多数操作符。\n"},"content/operators-and-ajax.html":{"url":"content/operators-and-ajax.html","title":"操作符和 Ajax","keywords":"","body":"操作符和 Ajax\n这是 Rx 对象上的 ajax 操作符。\n使用 ajax() 操作符\nindex.html\n\n \n \n\n \n \n \n \n\n\napp.js\nlet person$ = Rx.Observable\n .ajax({\n url : 'http://swapi.co/api/people/1',\n crossDomain: true,\n createXHR: function () {\n return new XMLHttpRequest();\n }\n })\n .map(e => e.response);\n\nconst subscription = person$\n .subscribe(res => {\n let element = document.getElementById('result');\n element.innerHTML = res.name\n console.log(res)\n });\n\n有一点坑的是我们调用 ajax() 操作符的方式,除了 url 属性外我们显示地指定了一堆配置。这样做的原因是 ajax 操作符内部是这样运行的:\n\n执行 ajaxObservable 中的 XHR 的默认工厂函数,并把 withCredentials 默认设置为 true\n\n所以我们给定了一个自定义工厂函数而且它可以正常运行。我明白目前这也被看做是一个 issue\n使用 fetch API\nconst fetchSubscription = Rx.Observable\n.from(fetch('http://swapi.co/api/people/1'))\n.flatMap((res) => Rx.Observable.from(res.json()) )\n.subscribe((fetchRes) => {\n console.log('fetch sub', fetchRes);\n})\n\n这里有几件事情值得一提\n\nfetch api 是基于 promise 的,然而使用 .from() RxJS 允许我们输入一个 promise 作为参数并将其转换为 Observable 。\n请求回来的结果是一个 response 对象,需要将它转换成 JSON 。调用 json() 方法可以完成这项工作,但 json() 返回的也是 Promise 。所以我们需要再次使用 from() 操作符。但在一个 Observable 内再创建一个 Observable 的话会形成嵌套的 Observable,这不是我们想要的,我们要的只是 JSON 。所以我们使用一个叫做 flatMap() 的操作符来修复它。想深入了解 flatMap(),请参加这里\n\n最终我们得到了预期的 JSON,如果要使用 CORS 跨域的话,还得做一些额外的工作。\n"},"content/operators-observable-in-an-observable.html":{"url":"content/operators-observable-in-an-observable.html","title":"高阶 Observable","keywords":"","body":"高阶 Observable\n通常你会遇到这种情况,以一种类型的 Observable 为起始,然后你想要将它转变为其它的东西。\n示例\nlet stream$ = Rx.Observable\n.of(1,2,3)\n.flatMap((val) => {\n return Rx.Observable\n .of(val)\n .ajax({ url : url })\n .map((e) => e.response )\n})\n\nstream.subscribe((val) => console.log(val))\n\n// { id : 1, name : 'Darth Vader' },\n// { id : 2, name : 'Emperor Palpatine' },\n// { id : 3, name : 'Luke Skywalker' }\n\n这里我们以值1,2,3为起始,然后想把每个值来引导一次 ajax 请求\n--1------2-----3------> --json-- json--json -->\n我们没有像下面这样使用 .map() 操作符的理由\nlet stream$ = Rx.Observable\n.of(1,2,3)\n.map((val) => {\n return Rx.Observable\n .of(val)\n .ajax({ url : url })\n .map((e) => e.response )\n})\n\n是它给你的结果不是你想要的,而会是下面这样:\n// Observable, Observable, Observable\n\n因为我们创建了一个 observable 列表,即三个不同的流,所以订阅得到是流而不是我们想要的数据。然而 flatMap() 操作符可以把这种叫做 metastream 的流中流变扁平。还有一个有趣的操作符叫做 switchMap(),通常它用来处理 ajax 。想了解更多,请参见级联调用\n"},"content/operators-construction.html":{"url":"content/operators-construction.html","title":"创建操作符","keywords":"","body":"创建操作符\ncreate\n当你刚起步或者只是想要测试一些东西时,倾向于从 create() 操作符入手。它接收一个有 observer 参数的函数。在前面的一些章节中已提及过,比如 Observable 包装章节。函数签名如下:\nRx.Observable.create([fn])\n\n示例如下:\nRx.Observable.create(observer => {\n observer.next( 1 );\n})\n\nrange\n函数签名\nRx.Observable.range([start],[count])\n\n示例\nlet stream$ = Rx.Observable.range(1,3)\n\n// 发出 1,2,3\n\n"},"content/operators-conversion.html":{"url":"content/operators-conversion.html","title":"转换操作符","keywords":"","body":"转换操作符\n这个类别的全部是展示以某些东西为基础来创建 Observables 是多么的容易,因此他们可以和操作符配合的很好,而不在乎是怎样的构造,从而实现丰富的组合。\nfrom\n在 RxJS 4中,存在一些类似名称的操作符,例如 fromArray()、from()、fromPromise() 等等。所有这些 fromXXX 的操作符现在全由 from() 接管了。来看一些示例:\n老的 fromArray\nRx.Observable.from([2,3,4,5])\n\n老的 fromPromise\nRx.Observable.from(new Promise(resolve, reject) => {\n // 异步操作\n resolve( data )\n})\n\nof\nof 操作符接收x个参数,所以你可以像下面这样以任意个参数来调用它:\nRx.Observable.of(1,2);\nRx.Observable.of(1,2,3,4);\n\nto\n还存在一组操作符允许你反其道而行,也就是离开美妙的 observables 世界并回到更原始的状态,像这样:\nlet promise = Rx.Observable.of(1,2).toPromise();\npromise.then(data => console.log('Promise', data));\n\n"},"content/operators-combination.html":{"url":"content/operators-combination.html","title":"组合操作符","keywords":"","body":"组合操作符\n有一些操作符允许你组合两个及以上的 source,它们的行为有所不同,重要的是要知道它们之间的区别。\ncombineLatest\n函数签名如下:\nRx.Observable.combineLatest([ source_1, ... source_n])\n\nlet source1 = Rx.Observable.interval(100)\n.map( val => \"source1 \" + val ).take(5);\n\nlet source2 = Rx.Observable.interval(50)\n.map( val => \"source2 \" + val ).take(2);\n\nlet stream$ = Rx.Observable.combineLatest(\n source1,\n source2\n);\n\nstream$.subscribe(data => console.log(data));\n\n// 发出 source1: 0, source2 : 0 | source1 : 0, source2 : 1 | source1 : 1, source2 : 1, 等等\n\ncombineLatest 实际上是从每个 source 取最新的响应值然后返回有x个元素的数组。每个 source 对应一个元素。\n如你所见,source2 在发出2个值后就停止了,但仍然可以持续发出最新的值。\n业务场景\n业务场景是当你对每个 source 的最新值感兴趣,而对过往的值不感兴趣,当然你要有一个以上想要组合的 source 。\nconcat\n函数签名如下:\nRx.Observable([ source_1,... sournce_n ])\n\n看看下面输出的数据,很容易可以想到数据是何时发出的:\nlet source1 = Rx.Observable.interval(100)\n.map( val => \"source1 \" + val ).take(5);\n\nlet source2 = Rx.Observable.interval(50)\n.map( val => \"source2 \" + val ).take(2);\n\n\nlet stream$ = Rx.Observable.concat(\n source1,\n source2\n);\n\nstream$.subscribe( data => console.log('Concat ' + data));\n\n// source1 : 0, source1 : 1, source1 : 2, source1 : 3, source1 : 4\n// source2 : 0, source2 : 1\n\n从结果可以看出,组合后的 observable 接收了第一个 source 的所有值然后先将它们发出,然后再接收 source 2的所有值,所以说 concat() 操作符中的 source 顺序很重要。\n所以当遇到应该优先考虑某个 source 的情况时,就要使用 concat 操作符。\nmerge\n这个操作符可以将多个流合并成一个。\nlet merged$ = Rx.Observable.merge(\n Rx.Observable.of(1).delay(500),\n Rx.Observable.of(3,2,5)\n)\n\nlet observer = {\n next : data => console.log(data)\n}\n\nmerged$.subscribe(observer);\n\n要点是这个操作符组合了几个流,并且就像你在上面所看到的一样,任何像 delay() 这样的时间操作符都是起作用的。\nzip\nlet stream$ = Rx.Observable.zip(\n Promise.resolve(1),\n Rx.Observable.of(2,3,4),\n Rx.Observable.of(7)\n);\n\n\nstream$.subscribe(observer);\n\n我们得到 1,2,7\n再来看另外一个示例\nlet stream$ = Rx.Observable.zip(\n Rx.Observable.of(1,5),\n Rx.Observable.of(2,3,4),\n Rx.Observable.of(7,9)\n);\n\nstream$.subscribe(observer);\n\n得到的是1,2,7和5,3,9,所以它是以列为基础连接值的。它将采用最小的共同标准,在这个案例中是2。2,3,4序列中4会被忽略。正如你在第一个示例中所看见的,它还可以混用不同的异步概念,比如 Promise 和 Observable,这是因为发生了间隔转换。\n业务场景\n如果你真正关心不同 sources 在同一个位置所发出值的区别,假设所有 sources 的第2个响应值,那么你需要 zip() 操作符。\n"},"content/operators-mathematical.html":{"url":"content/operators-mathematical.html","title":"数学操作符","keywords":"","body":"数学操作符\nmax\nlet stream$ = Rx.Observable.of(5,4,7,-1)\n.max();\n\n发出的值是7。这个操作符的功能显而易见,只提供一个最大值。还有不同的方式来调用它,可以传入一个 comparer 函数:\nfunction comparer(x,y) {\n if( x > y ) {\n return 1;\n } else if( x \n在这个案例中,我们定义了 comparer 函数,它会在底层运行排序算法,我们所要做的只是帮助它判断是 大于、等于 还是 小于。还可以使用对象进行比较,概念都是一样的:\nfunction comparer(x,y) {\n if( x.age > y.age ) {\n return 1;\n } else if( x.age \n因为我们在 comparer 中声明了要比较什么属性,所以第一条数据会被留下作为结果。\nmin\nmin 和 max() 操作符基本一样,只是返回的是最小值。\nsum\nsum() 操作符已经不复存在,但是我们可以使用 reducer() 来完成同样的功能,像这样:\nlet stream$ = Rx.Observable.of(1,2,3,4)\n.reduce((accumulated, current) => accumulated + current )\n\n同样也适用于对象,只要我们定义好 reduce() 函数应该怎么做,像这样:\nlet objectStream$ = Rx.Observable.of( { name : 'chris' }, { age : 11 } )\n.reduce( (acc,curr) => Object.assign({}, acc,curr ));\n\n这会把所有对象合并为一个对象。\naverage\nRxJS 5中取消了 average() 操作符,但是仍可以使用 reduce() 来完成同样的功能\nlet stream$ = Rx.Observable.of( 3, 6 ,9 )\n.map( x => { return { sum : x, counter : 1 } } )\n.reduce( (acc,curr) => {\n return Object.assign({}, acc, { sum : acc.sum + curr.sum ,counter : acc.counter + 1 })\n})\n.map( x => x.sum / x.counter )\n\n我承认这个实现有一点绕,一旦你理解了起初调用的 map(),那么 reduce() 就很好理解了,Object.assign() 一如既往的是个好助手。\n"},"content/operators-time.html":{"url":"content/operators-time.html","title":"时间操作符","keywords":"","body":"时间操作符\n这可不是一个简单的话题。其中涉及了应用程序中的诸多领域,你可能想要同步 API 的响应,或者你想要处理其它类型的流,比如 UI 中的点击事件或键盘事件。\n有大量的操作符以它们各自的方式来处理时间,比如 delay、 debounce、 throttle、 interval, 等等。\ninterval\n这个操作符用来创建一个 Observable,基本上它所做的就是按固定的时间间隔提供值,函数签名如下:\nRx.Observable.interval([ms])\n\n示例用法:\nRx.Observable.interval(100)\n\n// 无限生成下去\n\n因为这个操作符会不停地生成值,所以倾向于和 take() 操作符一起使用,这样可以在调用它之前限制生成值的数量,就像这样:\nRx.Observable.interval(1000).take(3)\n\n// 生成 1,2,3\n\ntimer\ntimer 是个有趣的操作符,它可以有多种行为,这取决于你如何使用它。它的函数签名是\nRx.Observable.timer([initial delay],[thereafter])\n\n然后只有第一个参数是必须的,所以取决于使用参数的数量,它会有不同的用法。\n一次性的\nlet stream$ = Rx.Observable.timer(1000);\n\nstream$.subscribe(data => console.log(data));\n\n// 1秒后生成0\n\n这样就是一次性的,因为并没有规定何时发出下一个值。\n指定第二个参数\nlet moreThanOne$ = Rx.Observable.timer(2000, 500).take(3);\n\nmoreThanOne$.subscribe(data => console.log('timer with args', data));\n\n// 2秒后生成0,然后再500毫秒后生成1,然后再500毫秒生成2\n\n这样更灵活一些,会根据第二个参数持续性的发出值。\ndelay\ndelay() 操作符只是简单地延迟每个要发出的值,它是这样使用的:\nvar start = new Date();\nlet stream$ = Rx.Observable.interval(500).take(3);\n\nstream$\n.delay(300)\n.subscribe((x) => {\n console.log('val',x);\n console.log( new Date() - start );\n})\n\n// 800毫秒左右后输出 0 , 1300毫秒左右后输出1, 1800毫秒左后后输出2\n\n业务场景\ndelay 操作符可以在很多地方使用,但其中一个很好的场景是错误处理,尤其是当网络不稳定时我们想要在x毫秒后重试整个流:\n想了解更多,请阅读错误处理章节\nsampleTime\n我通常认为这个场景可以称之为“懒得理你”。我的意思是事件只会在特定的时间点被触发。\n业务场景\n所以在x毫秒内的忽略事件的能力是非常有用的。想象一下,一个保存按钮被狂点N次,只在x毫秒后只有最近的一次点击生效而忽略其它的点击不是很好吗?\nconst btn = document.getElementById('btnIgnore');\nvar start = new Date();\n\nconst input$ = Rx.Observable\n .fromEvent(btn, 'click')\n\n .sampleTime(2000);\n\ninput$.subscribe(val => {\n console.log(val, new Date() - start);\n});\n\n上面的代码所做的就是这件事。\ndebounceTime\ndebounceTime() 操作符会告诉你:我只会以一定的时间间隔发出数据,而不会一直发出数据。\n业务场景\nDebounce 是一个已知的概念,特别是当你敲击键盘的时候。就像是在说,我们不在乎你的每次敲击键盘,但是一旦你停止打字后的一段时间是我们所关心的。一个普通的 auto complete (自动完成/智能提示) 就应该在这个时候开始启动了。如果说你的用户停止打字已经有x毫秒了,通常这意味着我们应该执行一次 ajax 调用并取回结果。\nconst input = document.getElementById('input');\n\nconst example = Rx.Observable\n .fromEvent(input, 'keyup')\n .map(i => i.currentTarget.value);\n\n// 在两次敲击键盘事件之间,有0.5秒的等待时间,如果时间小于0.5秒则丢弃前一个敲击键盘事件\nconst debouncedInput = example.debounceTime(500);\n\nconst subscribe = debouncedInput.subscribe(val => {\n console.log(`Debounced Input: ${val}`);\n});\n\n上面的代码只会输出一个值,值来源于 input 表单,在你停止打字后的500毫秒后,才值得它报告一下,也就是发出一个值。\nthrottleTime\nTODO\nbuffer\nbuffer 操作符的能力是在输出它的值前记录x个发出的值,它可以使用一个或两个参数。\n.buffer( whenToReleaseValuesStartObservable )\n\n或\n\n.buffer( whenToReleaseValuesStartObservable, whenToReleaseValuesEndObservable )\n\n那么这意味着什么呢?它的意思是,如果我们有一个点击流的话,可以将其我切成漂亮的小块流,每一小块流包含的事件的数量都是相同的。使用一个参数的话,我们可以给它一个时间参数(译者注: 这里说时间参数可能不太准确,会让人联想到500毫秒这样的参数,应该是时间相关的 Observable,比如 interval 操作符生成的),假设是500毫秒。所以原本要发出的值会积攒500毫秒后发出,然后另一个 Observable 会开启,老的 Observable 则被抛弃。这很像是在使用秒表,一次记录500毫秒。示例:\nlet scissor$ = Rx.Observable.interval(500)\n\nlet emitter$ = Rx.Observable.interval(100).take(10) // 总共会输出10个值\n.buffer( scissor$ )\n\n// 500毫秒后输出: [0,1,2,3,4] 1秒后输出: [5,6,7,8,9]\n\n弹珠图\n--- c --- c - c --- >\n-------| ------- |- >\n结果流是 :\n------ r ------- r r -- >\n业务场景\n那么 buffer 的业务场景到底是什么? 那就是双击,对单击作出响应显然是很简单的,但如果只想对双击或是三连击进行处理,又应该如何用代码来处理呢?你可能会用类似下面的方法来处理:\n$('#btn').bind('click', function(){\n if(!start) { start = timer.start(); }\n timePassedSinceLastClickInMs = now - start;\n if(timePassedSinceLastClickInMs \n看下上面的伪代码。关键是你需要记录一些在点击之间的时间变量。这样的代码缺乏优雅性,不能算是一种好的代码\n在 RxJS 中建模\n到目前为止,对于 RxJS 我们所知道的一切都是关于流和随着时间的推移对值进行建模。点击没什么不同,它们也是随着时间的推移而产生。\n---- c ---- c ----- c ----- >\n然而,我们关心的是短时间内接连出现的点击,即像下面这样的双击或三连击:\n--- c - c ------ c -- c -- c ----- c\n从上面的流中你应该可以推断出发生了一次双击、一次三连击和一次单击。\n假设我就是这么做的,那么然后呢?你希望流自己分组,以便告诉我们这一点,即需要将哪些点击作为一个组发出。filter() 操作符可以帮我们完成任务。如果我们定义了一个足够长的时间(假设是300毫秒)来收集事件,可以使用下面的代码将时间从0到永远以300毫秒的时间块进行分割:\nlet clicks$ = Rx.Observable.fromEvent(document.getElementById('btn'), 'click');\n\nlet scissor$ = Rx.Observable.interval(300);\n\nclicks$.buffer( scissor$ )\n //.filter( (clicks) => clicks.length >=2 )\n .subscribe((value) => {\n if(value.length === 1) {\n console.log('single click')\n }\n else if(value.length === 2) {\n console.log('double click')\n }\n else if(value.length === 3) {\n console.log('triple click')\n }\n\n });\n\n请使用如下的方式来阅读此段代码,要缓冲的流 clicks$ 每300毫秒会发出它的值,300毫秒是由 scissor$ 流决定的。所以 scissor$ 流是一把剪刀,如果你愿意,它可以将 clicks$ 流切碎,瞧,我们有一个优雅获取双击的方法了。如你所见,上面的代码捕获了所有类型的点击,但通过解除注释 filter() 操作的话,我们就只能获得双击和三连击。\nfilter() 操作符同样可以用于其它目的,像随着时间推移记录 UI 发生了什么并回放给用户,唯一能限制它所能做的就是你的想象力。\n"},"content/operators-grouping.html":{"url":"content/operators-grouping.html","title":"分组操作符","keywords":"","body":"分组操作符\nbuffer\nbuffer() 操作符的函数签名:\nbuffer([breakObservable])\n\nbuffer 本身意味着我们在等待而不会发出任何值,直到 breakObservable 发生。示例如下:\nlet breakWhen$ = Rx.Observable.timer(1000);\n\nlet stream$ = Rx.Observable.interval(200)\n.buffer( breakWhen$ );\n\nstream$.subscribe((data) => console.log( 'values',data ));\n\n在这个案例中会一次性地发出值: values 0,1,2,3 。\n业务场景\nAuto complete(自动完成/智能提示) - 使用 buffer() 操作符进行处理的最显著的例子就是 auto complete 。但 auto complete 是如何工作的呢?我们来分步骤看下\n\n用户输入关键字\n搜索是基于这些按键的。重要的是,搜索本身是在打字时执行的,要么就执行多次,因为你输入了x个字符,要么采用更普遍的处理方式,就是打字完成后再执行搜索,还可以在输入时进行编辑。那么我们来执行这套解决方案的第一步:\n\nlet input = document.getElementById('example');\nlet input$ = Rx.Observable.fromEvent( input, 'keyup' )\n\nlet breakWhen$ = Rx.Observable.timer(1000);\nlet debounceBreak$ = input$.debounceTime( 2000 );\n\nlet stream$ = input$\n.map( ev => ev.key )\n.buffer( debounceBreak$ );\n\nstream$.subscribe((data) => console.log( 'values',data ));\n\n我们捕获 keyup 事件。我们还使用了 debounce() 操作符,本质上来说,一旦你停止打字x毫秒后它才会发出值。这个解决方案只是进行中的第一步,因为它只是报告了具体敲击的按键。一个更好的解决方案是捕获输入元素的实际内容,还可以执行 ajax 调用,所以让我们来看一个更精致的解决方案:\nlet input = document.getElementById('example');\nlet input$ = Rx.Observable.fromEvent( input, 'keyup' )\n\nlet breakWhen$ = Rx.Observable.timer(1000);\nlet debounceBreak$ = input$.debounceTime( 2000 );\n\nlet stream$ = input$\n.map( ev => {\n return ev.key })\n.buffer( debounceBreak$ )\n.switchMap((allTypedKeys) => {\n // 执行 ajax\n console.log('Everything that happened during 2 sec', allTypedKeys)\n return Rx.Observable.of('ajax based on ' + input.value);\n});\n\nstream$.subscribe((data) => console.log( 'values',data ));\n\n这个称之为“增强的 auto complete” 。原因如名字一样,我们保存了用户所做的每一个交互,然后才最终决定应该成为 Ajax 调用的最终输入。所以上面代码的结果应该看起来像下面这样:\n// 出自 switchMap\nEverything that happened during 2 sec [\"a\", \"a\", \"a\", \"Backspace\", \"Backspace\", \"Backspace\", \"Backspace\", \"b\", \"b\", \"Backspace\", \"Backspace\", \"Backspace\", \"f\", \"g\", \"h\", \"f\", \"h\", \"g\"]\n\n// 出自 subscribe\nvalues ajax based on fghfgh\n\n如你所见,其实我们可以储存大量用户潜在的信息,而不只是做了 auto complete 搜索,我们可以储存他们是如何打字的,这或许很有趣,亦或是很无聊...\n双击 - 在上面的示例中,我已经展示了按组捕获按键可以很有趣,而另一组可能有趣的 UI 事件就是鼠标点击事件,即单击、双击或三连击。如果不用 RxJS 的话,那写出的代码是极不优雅的,反之则轻而易举,像下面这样:\nlet btn = document.getElementById('btn2');\nlet btn$ = Rx.Observable.fromEvent( btn, 'click' )\n\nlet debounceMouseBreak$ = btn$.debounceTime( 300 );\n\nlet btnBuffered$ = btn$\n.buffer( debounceMouseBreak$ )\n.map( array => array.length )\n.filter( count => count >= 2 )\n;\n\nbtnBuffered$.subscribe((data) => console.log( 'values',data ));\n\n多亏 debounce() 操作符,我们可以在发出任何值之前表达等待300毫秒。只是短短几行代码,就让我们很容易的可以决定 filter 应该怎么写。\nbufferTime\nbufferTime() 的函数签名:\nbufferTime([ms])\n\n作用是记录在该时间段内发生的所有事情并输出所有的值。下面的示例是以1秒为时间片段记录输入的所有活动事件。\nlet input = document.getElementById('example');\nlet input$ = Rx.Observable.fromEvent( input, 'input' )\n.bufferTime(1000);\n\ninput$.subscribe((data) => console.log('all inputs in 1 sec', data));\n\n在这个案例中你得到的输出会是这样的:\nall inputs in 1 sec [ Event, Event... ]\n\n得到的数据似乎没什么用,所以我们可能需要使用 map() 来使数据变得清晰,以便于看到用户实际的按键,像这样:\nlet input = document.getElementById('example');\nlet input$ = Rx.Observable.fromEvent( input, 'keyup' )\n.map( ev => ev.key)\n.bufferTime(1000);\n\ninput$.subscribe((data) => console.log('all inputs in 1 sec', data));\n\n还要注意一点,我把事件改成了 keyup 。现在我们可以看见1秒内发生的所有 keyup 事件。\n业务场景\n如果你想要记录该网站上的其它用户正在做什么,并希望重播他们曾经做过的所有交互,或者当他们开始输入,你希望通过 socket 发送此信息的话,那么上面的示例会非常有用。最后一个是当下的标准功能,你看见一个人在另一个终端上打字。所以确实有这样的业务案例。\ngroupBy\nTODO\n"},"content/error-handling.html":{"url":"content/error-handling.html","title":"错误处理","keywords":"","body":"错误处理\n有两种主要的方法来处理流中的错误。你可以重试流并保证流最终会正常运行,或者处理错误并进行转换。\n重试 - 现在怎么样?\n当你认为错误是由于某些原因是暂时导致的,那么这种方法是适用的。通常不稳定的网络是个很好的例子。当网络不稳定时端点可能会在你多次尝试后才能回应。要点是你的首次尝试可能失败,但重试x次并且在两次尝试之间有一定的时间间隔,最终端点会回应。\nretry\nretry() 操作符可以让我们重试整个流,只接收一个参数,参数的值是要重试的次数,函数签名如下:\nretry([times])\n\n重要的是要注意当错误回调被调用的话, retry() 操作符会有延迟。下面代码中的错误回调会立即被调用:\nlet stream$ = Rx.Observable.of(1,2,3)\n.map(value => {\n if(value > 2) { throw 'error' }\n});\n\nstream$.subscribe(\n data => console.log(data),\n err => console.log(err)\n)\n\n这个流很快的就死了,错误回调被调用,这个时候 retry() 操作符登场。像下面这样把它附加上即可:\nlet stream$ = Rx.Observable.of(1,2,3)\n.map(value => {\n if(value > 2) { throw 'error' }\n})\n.retry(5)\n\n这将运行值序列5次,最后放弃并进入错误回调。然而在这个案例中,由于编写代码的方式,它只会生成5次1,2。所以我们的代码并没有真正利用操作符的最大潜力。你可能想要的是能够在每次尝试之间改变一些东西。想象下你的 observable 看起来像这样:\nlet urlsToHit$ = Rx.Observable.of(url, url2, url3);\n\n在这一点上,它清楚地表明,在你的第一次尝试中,端点可能回应的不好,或者根本就没有回应,所以重试x次是很有用的。\n然而在调用 ajax 的情况下,并想象一下我们的业务场景中网络不稳定,那么立即重试是没有意义的,所以我们需要再找到一个更好的操作符,那就是 retryWhen()\nretryWhen\nretryWhen() 操作符让我们有机会对流进行操作并恰当地处理。\nretryWhen( stream => {\n // 希望能在更好的条件下返回\n})\n\n现在我们来写段简单的代码:\nlet values$ = Rx.Observable\n.of( 1,2,3,4 )\n.map(val => {\n if(val === 2) { throw 'err'; }\n else return val;\n})\n.retryWhen( stream => {\n return stream;\n} );\n\nvalues$.subscribe(\n data => console.log('Retry when - data',data),\n err => console.error('Retry when - Err',err)\n)\n\n这样写的话会一直返回 1,直到我们用完内存为止,由于缺少结束条件,算法总是会在值2上崩溃,并将永远重试流。我们需要做的就是以某种方式告知错误已经修复。如果流尝试点击网址而不是发出数字,响应端点将会被压垮,所以在这种情况下,我们必须写这样的东西:\nlet values$ = Rx.Observable.interval(1000).take(5);\nlet errorFixed = false;\n\nvalues$\n.map((val) => {\n if(errorFixed) { return val; }\n else if( val > 0 && val % 2 === 0) {\n errorFixed = true;\n throw { error : 'error' };\n\n } else {\n return val;\n }\n})\n.retryWhen((err) => {\n console.log('retrying the entire sequence');\n return err.delay(200);\n})\n.subscribe((val) => { console.log('value',val) })\n\n// 0 1 '等待200毫秒' retrying the whole sequence 0 1 2 3 4\n\n然而,这与我们用 retry() 运算符所做的很多类似,上面的代码只会重试一次。使用 retryWhen() 真正的好处是可以改变操作符中返回的流,也就是这里调用的 delay() 操作符,像这样:\n.retryWhen((err) => {\n console.log('retrying the entire sequence');\n return err.delay(200)\n})\n\n这会确保在流重试前有200毫秒的延迟,如果是在 ajax 场景下,可以确保端点有足够的时间重整旗鼓,然后开始响应。\n陷阱\n在 retryWhen() 中使用 delay() 操作符来确保重试晚一点发生,在这个案例中可以给网络一个恢复的机会。\nretryWhen 和 delay 一起使用没有次数限制\n到目前为止,当我们想要重试整个流x次时使用的是 retry() 操作符,当我们想要在重试之间有一些延迟时间时使用的是 retryWhen() 操作符,但是如果我们两者都想要,可以做到吗?可以的。我们需要考虑一下要以某种方式记住到目前为止我们的尝试次数。引入一个外部变量用来保持这个数量是非常诱人的,但那不是函数式做事的方式,记住副作用是被禁止的。那么我们该如何解决呢?有一个叫做 scan() 的操作符,它允许我们累积每次迭代的值。所以如果在 retryWhen() 中使用 scan 的话,我们就可以追踪尝试的次数:\nlet ATTEMPT_COUNT = 3;\nlet DELAY = 1000;\nlet delayWithTimes$ = Rx.Observable.of(1,2,3)\n.map( val => {\n if(val === 2) throw 'err'\n else return val;\n})\n.retryWhen(e => e.scan((errorCount, err) => {\n if (errorCount >= ATTEMPT_COUNT) {\n throw err;\n }\n return errorCount + 1;\n}, 0).delay(DELAY));\n\ndelayWithTimes$.subscribe(\n val => console.log('delay and times - val',val),\n err => console.error('delay and times - err',err)\n)\n\n转换 - 这个没什么好看的\n这个方法是当出现错误时你选择将错误重制成一个有效的 Observable 。\n所以我们可以通过创建一个 Observable 来体现这一点,这个 Observable 的使命就是报错\nlet error$ = Rx.Observable.throw('crash');\n\nerror$.subscribe(\n data => console.log( data ),\n err => console.log( err ),\n () => console.log('complete')\n)\n\n这段代码只会执行错误回调而不会执行完成回调。\n修补它\n我们可以通过引入 catch() 操作符来进行修补。它是这样使用的:\nlet errorPatched$ = error$.catch(err => { return Rx.Observable.of('Patched' + err) });\nerrorPatched$.subscribe((data) => console.log(data) );\n\n如你所见,使用 .catch() 进行修补并返回一个新的 Observable 修复 流。问题是这是否是你想要的。流确实存活下来最终完成了,它可以发出崩溃之后发生的任何值。\n如果这不是你想要的,那么上面的重试方法可能会更适合你,决定权在你手中。\n多个流呢?\n你没想到会这么容易吧?当你编写 RxJS 代码时,通常会处理多个流,如果你知道在哪放置 catch() 操作符的话,那么使用 catch() 的方法是很棒的。\nlet badStream$ = Rx.Observable.throw('crash');\nlet goodStream$ = Rx.Observable.of(1,2,3,);\n\nlet merged$ = Rx.Observable.merge(\n badStream$,\n goodStream$\n);\n\nmerged$.subscribe(\n data => console.log(data),\n err => console.error(err),\n () => console.log('merge completed')\n)\n\n猜猜发生了什么?1)错误和值都发出了,流也完成了 2)错误和值都发出了 3)只发出了错误\n遗憾的是发生的是 3)。这意味着我们几乎没有处理错误。\n修复 - 所以我们需要修复错误。我们使用 catch() 操作符进行修复。问题在哪呢?\n来试试这个?\nlet mergedPatched$ = Rx.Observable.merge(\n badStream$,\n goodStream$\n).catch(err => Rx.Observable.of(err));\n\nmergedPatched$.subscribe(\n data => console.log(data),\n err => console.error(err),\n () => console.log('patchedMerged completed')\n)\n\n在这个案例中,得到结果的是 crash 和 patchedMerged completed 。所以流是完成了的,但我们还是没有得到 goodStream$ 的值。所以这是一个更好的解决方法,但还不够好。\n更好的修复 - 在 merge() 后面添加 catch() 操作符可以确保流完成,但是还不够好。我们来尝试下在 merge 之前进行 catch 操作。\nlet preMergedPatched$ = Rx.Observable.merge(\n badStream$.catch(err => Rx.Observable.of(err)),\n goodStream$\n).catch(err => Rx.Observable.of(err));\n\npreMergedPatched$.subscribe(\n data => console.log(data),\n err => console.error(err),\n () => console.log('pre patched merge completed')\n)\n\n瞧,我们得到了值,我们捕获了错误并将错误作为一个新的 Observable 发出,并且流也完成了。\n陷阱 catch() 所放的位置很重要。\n适者生存\n还有另外一种情况可能会很有意思。上面的场景假设你希望发出所有的,错误信息、值、所有的一切。\n如果你关心的不是这些呢,你只关心流的值怎么办?我们来假设一下,有一个叫做 onErrorResumeNext() 的操作符\nlet secondBadStream$ = Rx.Observable.throw('bam');\nlet gloriaGaynorStream$ = Rx.Observable.of('I will survive');\n\nlet emitSurviving = Rx.Observable.onErrorResumeNext(\n badStream$,\n secondBadStream$,\n gloriaGaynorStream$\n);\n\nemitSurviving.subscribe(\n data => console.log(data),\n err => console.error(err),\n () => console.log('Survival of the fittest, completed')\n)\n\n输出的结果是 'I will survive' 和 'Survival of the fittest, completed' 。\n"},"content/testing.html":{"url":"content/testing.html","title":"测试","keywords":"","body":"测试\n异步代码的测试通常很棘手。异步代码可能毫秒间完成,也能几分钟才完成。所以你需要一种方法来完全模仿它,就像你在 jasmine 中所做的一样。\nspyOn(service,'method').and.callFake(() => {\n return {\n then : function(resolve, reject){\n resolve('some data')\n }\n }\n})\n\n或简写版本:\nspyOn(service,'method').and.callFake(q.when('some data'))\n\n要点是你尝试避免时间相关的东西。RxJS 是有历史的,RxJS 4 提供了一种方法,这种方法使用 TestScheduler 和它的内部时钟,这使你能够增强对时间的把控。这种方法有两种风格:\n方法 1\nlet testScheduler = new TestScheduler();\n\n// 我的演示\nlet stream$ = Rx.Observable\n.interval(1000, testScheduler)\n.take(5);\n\n\n\n// 设置测试\nlet result;\n\nstream$.subscribe(data => result = data);\n\n\ntestScheduler.advanceBy(1000);\nassert( result === 1 )\n\ntestScheduler.advanceBy(1000);\n... 再次断言, 等等..\n\n这种方法很容易理解。第二种方法使用热的 observable 和 startSchedule() 方法,看起来像这样:\n// 设置输出数据\nvar input = scheduler.createHotObservable(\n onNext(100, 'abc'),\n onNext(200, 'def'),\n onNext(250, 'ghi'),\n onNext(300, 'pqr'),\n onNext(450, 'xyz'),\n onCompleted(500)\n );\n\n// 应用操作符\nvar results = scheduler.startScheduler(\n function () {\n return input.buffer(function () {\n return input.debounce(100, scheduler);\n })\n .map(function (b) {\n return b.join(',');\n });\n },\n {\n created: 50,\n subscribed: 150,\n disposed: 600\n }\n );\n\n// 断言\ncollectionAssert.assertEqual(results.messages, [\n onNext(400, 'def,ghi,pqr'),\n onNext(500, 'xyz'),\n onCompleted(500)\n ]);\n\nIMO 读起来有些费劲,但你仍然可以得到这个想法,你控制着时间,因为有 TestScheduler 来规定时间有多快。\n这一切都是在 RxJS 4 进行的,在 RxJS 5 中有一些改变。我应该说,我要写下来的是一个大体的方向和一个前进的目标,所以这一章将会更新。我们开始吧。\n在 RxJS 5 中使用的是叫做“弹珠测试(Marble Testing)”的东西。是的,这和弹珠图是有关系的,弹珠图就是用图形符号表达预期输入和实际输出。\n我第一次看官方文档的编写弹珠测试页面的时候,我完全是懵的,不知道应该怎么做。但是当我自己写了一些测试后,我得出一个结论,这是一种十分优雅的方法。\n所以我会通过展示代码来进行说明:\n// 设置\nconst lhsMarble = '-x-y-z';\nconst expected = '-x-y-z';\nconst expectedMap = {\n x: 1,\n y: 2,\n z : 3\n};\n\nconst lhs$ = testScheduler.createHotObservable(lhsMarble, { x: 1, y: 2, z :3 });\n\nconst myAlgorithm = ( lhs ) =>\n Rx.Observable\n .from( lhs );\n\nconst actual$ = myAlgorithm( lhs$ );\n\n// 断言\ntestScheduler.expectObservable(actual$).toBe(expected, expectedMap);\ntestScheduler.flush();\n\n我们分解来看\n设置\nconst lhsMarble = '-x-y-z';\nconst expected = '-x-y-z';\nconst expectedMap = {\n x: 1,\n y: 2,\n z : 3\n};\n\nconst lhs$ = testScheduler.createHotObservable(lhsMarble, { x: 1, y: 2, z :3 });\n\n我们基本上为 TestScheduler 上存在的方法 createHotObservable() 创建了一种模式指令 -x-y-z。createHotObservable() 是一个工厂方法,为我们做了大量的事情。作为对比,自己实现这个方法的话,在这个案例中相对应的应该像这样:\nlet stream$ = Rx.Observable.create(observer => {\n observer.next(1);\n observer.next(2);\n observer.next(3);\n})\n\n我们不自己做的原因是我们想要 TestScheduler 来完成,这样时间就会根据其内部时钟流转。还要注意,我们定义一个预期模式和一个预期映射:\nconst expected = '-x-y-z';\n\nconst expectedMap = {\n x: 1,\n y: 2,\n z : 3\n}\n\n那是我们需要的设置,但是要想测试运行起来还需要 flush,这样 TestScheduler 内部才可以触发 HotObservable 并运行断言。看下 createHotObservable() 方法的源码,我们发现它解析了我们给定的弹珠模式并添加到列表之中:\n// 摘自 createHotObservable\n var messages = TestScheduler.parseMarbles(marbles, values, error);\nvar subject = new HotObservable_1.HotObservable(messages, this);\nthis.hotObservables.push(subject);\nreturn subject;\n\n接下来是两个步骤的断言 1) expectObservable() 2) flush()\n预期的调用差不多就是设置了 HotObservable 的订阅\n// 摘自 expectObservable()\nthis.schedule(function () {\n subscription = observable.subscribe(function (x) {\n var value = x;\n // 支持高阶 Observable \n if (x instanceof Observable_1.Observable) {\n value = _this.materializeInnerObservable(value, _this.frame);\n }\n actual.push({ frame: _this.frame, notification: Notification_1.Notification.createNext(value) });\n }, function (err) {\n actual.push({ frame: _this.frame, notification: Notification_1.Notification.createError(err) });\n }, function () {\n actual.push({ frame: _this.frame, notification: Notification_1.Notification.createComplete() });\n });\n}, 0);\n\n通过定义一个内部的 schedule() 方法并调用它。断言的第二部分是断言本身:\n// 摘自 flush()\n while (readyFlushTests.length > 0) {\n var test = readyFlushTests.shift();\n this.assertDeepEqual(test.actual, test.expected);\n}\n\n最后将两个列表,actual 和 expect 进行比较。它执行的是深层次的比较并验证两件事,即数据发生在正确的时帧上和时帧上的值是正确的。所以这两个列表都包含如下所示的对象:\n{\n frame : [some number],\n notification : { value : [your value] }\n}\n\n这些属性都必须相等,那么断言才为真。\n看起来没那么血腥吧?\n符号\n我还没有真正解释过我们所看到的:\n-a-b-c\n\n但它实际上是有含义的。- 意味着流逝的时帧。a 只是个符号。所以你写了多少个实际的和预期的 - 是很重要的,因为它们需要匹配预期。来看下另一个测试,这样你能理解它并在这个过程中引入更多的符号:\nconst lhsMarble = '-x-y-z';\nconst expected = '---y-';\nconst expectedMap = {\n x: 1,\n y: 2,\n z : 3\n};\n\nconst lhs$ = testScheduler.createHotObservable(lhsMarble, { x: 1, y: 2, z :3 });\n\nconst myAlgorithm = ( lhs ) =>\n Rx.Observable\n .from( lhs )\n .filter(x => x % 2 === 0 );\n\nconst actual$ = myAlgorithm( lhs$ );\n\n// 断言\ntestScheduler.expectObservable(actual$).toBe(expected, expectedMap);\ntestScheduler.flush();\n\n在这个案例中,我们的演示包含了一个 filter() 操作。这意味着不会发出1,2,3,只有2会被发出。看下我们的输入模式:\n'-x-y-z'\n\n和预期模式\n`---y-`\n\n在这你可以清楚的认识到 - 是不重要的。每个你写的符号 - 或 x 等都发生在某个时间点,所以在这个案例中,由于 filter() 方法 x 和 z 不会发生,这意味着我们只需在结果输出中用 - 来替换它们\n-x-y\n\n变成\n---y\n\n因为 x 不会发生。\n当然还有其他操作符,它们也有很意思,可以让我们定义一些东西,比如错误。错误用 # 来表示,下面就是一个包含错误测试的示例:\nconst lhsMarble = '-#';\nconst expected = '#';\nconst expectedMap = {\n};\n\nconst lhs$ = testScheduler.createHotObservable(lhsMarble, { x: 1, y: 2, z :3 });\n\nconst myAlgorithm = ( lhs$ ) =>\n Rx.Observable\n .from( lhs );\n\nconst actual$ = myAlgorithm( Rx.Observable.throw('error') );\n\n// 断言\ntestScheduler.expectObservable(actual$).toBe(expected, expectedMap);\ntestScheduler.flush();\n\n还有另外一个符号 | 表示流的完成:\nconst lhsMarble = '-a-b-c-|';\nconst expected = '-a-b-c-|';\nconst expectedMap = {\n a : 1,\n b : 2,\n c : 3\n};\n\nconst myAlgorithm = ( lhs ) =>\n Rx.Observable\n .from( lhs );\n\nconst lhs$ = testScheduler.createHotObservable(lhsMarble, { a: 1, b: 2, c :3 }); \nconst actual$ = lhs$;\n\ntestScheduler.expectObservable(actual$).toBe(expected, expectedMap);\ntestScheduler.flush();\n\n还有更多的符号,像 (ab) 本质上说这两个值在同一个时帧上发出,等等。现在,你希望了解符号的工作原理和基础知识,我强烈建议你编写自己的测试来直到完全掌握它,并学习本章开头提到的官方文档页面上提供的其他符号。\n快乐测试\n"},"content/cascading-calls.html":{"url":"content/cascading-calls.html","title":"级联调用","keywords":"","body":"级联调用\n级联调用意味着调用A执行后,调用B会基于A执行,调用C又会基于调用B执行,以此类推。\n依赖调用\n依赖调用意味着调用需要按顺序执行。调用2必须在调用1返回后执行。甚至可能调用2需要使用调用1返回的数据。\n想象下以下场景:\n\n用户需要先登录\n然后可以获取用户详情\n再然后可以获取用户订单\n\nPromise 方式\nlogin()\n .then(getUserDetails)\n .then(getOrdersByUser)\n\nRxJS 方式\nlet stream$ = Rx.Observable.of({ message : 'Logged in' })\n .switchMap( result => {\n return Rx.Observable.of({ id: 1, name : 'user' })\n })\n .switchMap((user) => {\n return Rx.Observable.from(\n [ { id: 114, userId : 1 },\n { id: 117, userId : 1 } ])\n })\n\nstream$.subscribe((orders) => {\n console.log('Orders', orders);\n})\n\n// 订单数组\n\n在 RxJS 示例中我简化了很多东西,但想象下如果替换了\nRx.Observable.of()\n\n执行适当的 ajax() 调用,就像在操作符和 Ajax一章中所做的。\n半依赖\n\n可以获取用户详情\n然后并行地获取订单和消息\n\nPromise 方式\ngetUser()\n .then((user) => {\n return Promise.all(\n getOrders(),\n getMessages()\n )\n })\n\nRxJS 方式\nlet stream$ = Rx.Observable.of({ id : 1, name : 'User' })\nstream.switchMap((user) => {\n return Rx.Observable.forkJoin(\n Rx.Observable.from([{ id : 114, user: 1}, { id : 115, user: 1}]),\n Rx.Observable.from([{ id : 200, user: 1}, { id : 201, user: 1}])\n )\n})\n\nstream$.subscribe((result) => {\n console.log('Orders', result[0]);\n console.log('Messages', result[1]);\n\n})\n\n陷阱\n我们用 switchMap() 替代了 flatMap(),所以如果需要的话我们可以取消 ajax 调用,这在菜谱 - auto complete 中更有实际意义。\n"},"content/recipes-auto-complete.html":{"url":"content/recipes-auto-complete.html","title":"菜谱 - auto complete","keywords":"","body":"传奇人物 @mattpodwysocki 所提供的超棒的代码示例\nhttps://github.com/Reactive-Extensions/RxJS/blob/master/examples/autocomplete/autocomplete.js\n"},"content/recipes-infinte-scroll.html":{"url":"content/recipes-infinte-scroll.html","title":"菜谱 - infinte scroll","keywords":"","body":"无限滚动加载 (infinte scroll) 的好文章\nhttps://hackernoon.com/naive-infinite-scroll-in-reactive-programming-using-rxjs-observables-4a605d3146e8 (简体中文)\n同一主题的另一篇好文章\nhttp://blog.brecht.io/infinite-scroll-with-rxjs-and-angular2/ (简体中文)\n"},"content/subject.html":{"url":"content/subject.html","title":"Subject","keywords":"","body":"Subject (主体)\nSubject 有着双重特性,它同时拥有 Observer 和 Observable 的行为。因此,以下是可能的:\n发出值\nsubject.next( 1 )\nsubject.next( 2 )\n\n订阅值\nconst subscription = subject.subscribe( (value) => console.log(value) )\n\n总结以下,它可以进行以下操作:\nnext([value])\nerror([error message])\ncomplete()\nsubscribe()\nunsubscribe()\n\n作为代理\nSubject 可以作为代理,也就是从另一个流接收值,而 Subject 的订阅者可以监听另外的这个流。\nlet source$ = Rx.Observable.interval(500).take(3);\nconst proxySubject = new Rx.Subject();\nlet subscriber = source$.subscribe( proxySubject );\n\nproxySubject.subscribe( (value) => console.log('proxy subscriber', value ) );\n\nproxySubject.next( 3 );\n\n所以本质上 subject 监听了 source$\n但是它还可以增加自己的贡献\nproxySubject.next( 3 ) // 发出3,然后是0 1 2 ( 异步的 )\n\n陷阱 - 任何在订阅创建之前执行的 next() 就会丢失。下面会有其他类型的 Subject 可以解决这个问题。\n业务场景\n那么这有什么有趣的呢?当数据到达时,它可以监听一些数据源,同时还能够发出自己的数据,并且都能到达同一个订阅者。以总线方式在组件之间进行通信的能力是我能想到的最显而易见的用例。组件1可以通过 next() 来放置它的值,组件2可以订阅,反之亦然,组件2可以发出值,组件1可以订阅。\nsharedService.getDispatcher = function(){\n return subject;\n}\n\nsharedService.dispatch = function(value){\n subject.next(value)\n}\n\nReplaySubject\n原型:\nnew Rx.ReplaySubject([bufferSize], [windowSize], [scheduler])\n\n示例:\nlet replaySubject = new Rx.ReplaySubject( 2 );\n\nreplaySubject.next( 0 );\nreplaySubject.next( 1 );\nreplaySubject.next( 2 );\n\n// 1, 2\nlet replaySubscription = replaySubject.subscribe((value) => {\n console.log('replay subscription', value);\n});\n\n哇,这发生了什么,第一个数字怎么了?因为 .next() 是在订阅创建之前执行的,按常理来说应该会丢失才对。但在这里使用的是 ReplaySubject,我们有机会把已经发出的值保存在缓存之中。在这个案例中,ReplaySubject 创建后,缓存已被决定为保存两个值。\n我们来解释下它是如何工作的:\nreplaySubject.next( 3 )\nlet secondSubscriber( (value) => console.log(value) ) // 2,3\n\n陷阱 - 当 .next() 操作发生时,缓存的大小以及创建订阅的时间都很重要。\n在上面的示例中,已经演示了如何在构造函数中使用 bufferSize 参数来使用构造函数。然而还有一个 windowSize 参数可以用来指定值应该在缓存中保存多久。把它设置为 null 的话将永久保存在缓存中。\n业务场景\nReplaySubject 的业务场景很容易就想到。你获取一些数据并想让应用记住最新获取的数据,同时获取的内容可能只在一段时间内是有效的,并且在保留足够的时间后会清除缓存。\nAsyncSubject\nlet asyncSubject = new Rx.AsyncSubject();\nasyncSubject.subscribe(\n (value) => console.log('async subject', value),\n (error) => console.error('async error', error),\n () => console.log('async completed')\n);\n\nasyncSubject.next( 1 );\nasyncSubject.next( 2 );\n\n看这个示例,我们期望发出的值是1,2,没错吧?错!不会发出任何值除非执行了 complete()\nasyncSubject.next( 3 )\nasyncSubject.complete()\n\n// 发出 3\n\ncomplete() 需要执行,而不在乎它之前的操作是成功还是失败\nasyncSubject( 3 )\nasyncSubject.error('err')\nasyncSubject.complete()\n\n// 'err' 作为最后的操作会被发出\n\n业务场景\n当你关心流结束前的最后状态是值还是错误时适合使用 AsyncSubject,注意不是通常所说的最后发出的状态,而是关闭流前的最后状态。这里的状态我指的是值或错误。\nBehaviourSubject\n这个 Subject 发出最初的值,通常所发出的值和你可以检查最后发出的值。\n方法:\nnext()\ncomplete()\nconstructor([start value])\ngetValue()\nlet behaviorSubject = new Rx.BehaviorSubject(42);\n\nbehaviorSubject.subscribe((value) => console.log('behaviour subject',value) );\nconsole.log('Behaviour current value',behaviorSubject.getValue());\nbehaviorSubject.next(1);\nconsole.log('Behaviour current value',behaviorSubject.getValue());\nbehaviorSubject.next(2);\nconsole.log('Behaviour current value',behaviorSubject.getValue());\nbehaviorSubject.next(3);\nconsole.log('Behaviour current value',behaviorSubject.getValue());\n\n// 发出 42\n// Behaviour current value 42\n// 发出 1\n// Behaviour current value 1\n// 发出 2\n// Behaviour current value 2\n// 发出 3\n// Behaviour current value 3\n\n业务场景\n这与 ReplaySubject 很像。但还是略微不同,我们可以利用默认值/起始值,如果在第一个值开始到达之前需要一段时间,我们可以显示初始值。我们可以检查最新的发出值,当然也可以监听已发出的一切。所以把 ReplaySubject 当作是 长期记忆而把 BehaviourSubject 当作是有默认行为的短期记忆。\n"},"content/schedulers.html":{"url":"content/schedulers.html","title":"Schedulers","keywords":"","body":"Schedulers (调度器)\n"},"appendices/tools.html":{"url":"appendices/tools.html","title":"工具","keywords":"","body":"工具\n本章节的主题是罗列一些不错的公爵,可以帮助你来编写 RxJS 代码。\nRxJS 开发者工具\n可以通过 GitHub 链接 https://github.com/kwintenp/rx-devtools 找到它。README 列出了如何通过 npm/yarn 模块和 Chrome 插件来安装。\n非常不错的可视化工具,可以很直观的看出代码做了那些事以及发出了什么值。\n下面是如何在 Angular 项目中运行的代码:\nimport { Observable } from 'rxjs/Observable';\nimport 'rxjs/add/operator/filter';\nimport 'rxjs/add/operator/map';\nimport 'rxjs/add/operator/take';\n\nexport class AppComponent {\n constructor() {\n const interval$ = Observable.interval(1000)\n .debug('test map')\n .startWith(10)\n .take(10)\n .filter((val: number) => val % 2 > 0)\n .map((val: number) => val * 2)\n .subscribe();\n }\n}\n\nRxFiddle\n只需进入页面 http://rxfiddle.net/#type=editor 并开始编写 RxJS 表达式即可。它会显示一个运行的视觉效果。没有比这更简单的了。\n"},"appendices/appendix-i-ngrx.html":{"url":"appendices/appendix-i-ngrx.html","title":"附录 I - ngrx","keywords":"","body":"ngrx\n"},"appendices/appendix-ii-build-your-own-rxjs.html":{"url":"appendices/appendix-ii-build-your-own-rxjs.html","title":"附录 II - 构建自己的 RxJS","keywords":"","body":"构建属于你自己的 RxJS\n为了真正地理解 RxJS,我推荐你尝试自己实现它的部分子集感受下自己可以产出怎样的代码。大多数情况下,并不是真的有必要了解到这个深度,但如果你有时间的话,请尝试一下。我们先来看看一个非常基础的实现,然后再一步步将其重构,最后使其看上去真的像那么回事。\n步骤 I\n步骤 II\n步骤 III\n步骤 IV\n"}}}