2个流:
给定可读流
stream1
和,获取包含和连接stream2
的流的惯用(简洁)方法是什么?stream1
stream2
我做不到
stream1.pipe(outStream); stream2.pipe(outStream)
,因为这样流的内容就混在一起了。n 个流:
给定一个发出不确定数量的流的EventEmitter,例如
eventEmitter.emit('stream', stream1) eventEmitter.emit('stream', stream2) eventEmitter.emit('stream', stream3) ... eventEmitter.emit('end')
获取所有流连接在一起的流的惯用(简洁)方法是什么?
10 回答
这可以用 vanilla nodejs 来完成
import { PassThrough } from 'stream'
const merge = (...streams) => {
let pass = new PassThrough()
let waiting = streams.length
for (let stream of streams) {
pass = stream.pipe(pass, {end: false})
stream.once('end', () => --waiting === 0 && pass.emit('end'))
}
return pass
}
组合流包连接流。自述文件中的示例:
var CombinedStream = require('combined-stream');
var fs = require('fs');
var combinedStream = CombinedStream.create();
combinedStream.append(fs.createReadStream('file1.txt'));
combinedStream.append(fs.createReadStream('file2.txt'));
combinedStream.pipe(fs.createWriteStream('combined.txt'));
我相信您必须一次附加所有流。如果队列为空,则combinedStream
自动结束。见问题#5。
stream-stream库是一个具有显式 的替代方案,.end
但它不太受欢迎,并且可能没有经过充分测试。它使用 Node 0.10 的 streams2 API(参见这个讨论)。
如果您不关心流中数据的顺序,那么在nodejs中进行简单的reduce操作应该没问题!
const {PassThrough} = require('stream')
let joined = [s0, s1, s2, ...sN].reduce((pt, s, i, a) => {
s.pipe(pt, {end: false})
s.once('end', () => a.every(s => s.ended) && pt.emit('end'))
return pt
}, new PassThrough())
干杯;)
现在可以使用异步迭代器轻松完成
async function* concatStreams(readables) {
for (const readable of readables) {
for await (const chunk of readable) { yield chunk }
}
}
你可以像这样使用它
const fs = require('fs')
const stream = require('stream')
const files = ['file1.txt', 'file2.txt', 'file3.txt']
const iterable = await concatStreams(files.map(f => fs.createReadStream(f)))
// convert the async iterable to a readable stream
const mergedStream = stream.Readable.from(iterable)
有关异步迭代器的更多信息:https ://2ality.com/2019/11/nodejs-streams-async-iteration.html
在 vanilla nodejs 中使用 ECMA 15+ 并结合Ivo和Feng的好答案。
该类PassThrough
是一个微不足道的Transform
流,它不会以任何方式修改流。
const { PassThrough } = require('stream');
const concatStreams = (streamArray, streamCounter = streamArray.length) => streamArray
.reduce((mergedStream, stream) => {
// pipe each stream of the array into the merged stream
// prevent the automated 'end' event from firing
mergedStream = stream.pipe(mergedStream, { end: false });
// rewrite the 'end' event handler
// Every time one of the stream ends, the counter is decremented.
// Once the counter reaches 0, the mergedstream can emit its 'end' event.
stream.once('end', () => --streamCounter === 0 && mergedStream.emit('end'));
return mergedStream;
}, new PassThrough());
可以这样使用:
const mergedStreams = concatStreams([stream1, stream2, stream3]);
您可能可以使其更简洁,但这是一个有效的方法:
var util = require('util');
var EventEmitter = require('events').EventEmitter;
function ConcatStream(streamStream) {
EventEmitter.call(this);
var isStreaming = false,
streamsEnded = false,
that = this;
var streams = [];
streamStream.on('stream', function(stream){
stream.pause();
streams.push(stream);
ensureState();
});
streamStream.on('end', function() {
streamsEnded = true;
ensureState();
});
var ensureState = function() {
if(isStreaming) return;
if(streams.length == 0) {
if(streamsEnded)
that.emit('end');
return;
}
isStreaming = true;
streams[0].on('data', onData);
streams[0].on('end', onEnd);
streams[0].resume();
};
var onData = function(data) {
that.emit('data', data);
};
var onEnd = function() {
isStreaming = false;
streams[0].removeAllListeners('data');
streams[0].removeAllListeners('end');
streams.shift();
ensureState();
};
}
util.inherits(ConcatStream, EventEmitter);
streams
我们使用(流的队列;push
到后面和shift
从前面)、isStreaming
和来跟踪状态streamsEnded
。当我们得到一个新的流时,我们推送它,当一个流结束时,我们停止监听并转移它。当流结束时,我们设置streamsEnded
.
在每个事件中,我们检查我们所处的状态。如果我们已经在流式传输(管道流),我们什么也不做。如果队列为空且streamsEnded
已设置,则我们发出end
事件。如果队列中有东西,我们恢复它并监听它的事件。
*请注意pause
和resume
是建议性的,因此某些流可能无法正确运行,并且需要缓冲。这个练习留给读者。
完成所有这些后,我将n=2
通过构造一个EventEmitter
,用它创建一个ConcatStream
,然后发出两个stream
事件,然后是一个end
事件来完成这个案例。我敢肯定它可以做得更简洁,但我们不妨使用我们所拥有的。
https://github.com/joepie91/node-combined-stream2是组合流模块(如上所述)的插入式 Streams2 兼容替代品。它自动包装 Streams1 流。
组合流 2 的示例代码:
var CombinedStream = require('combined-stream2');
var fs = require('fs');
var combinedStream = CombinedStream.create();
combinedStream.append(fs.createReadStream('file1.txt'));
combinedStream.append(fs.createReadStream('file2.txt'));
combinedStream.pipe(fs.createWriteStream('combined.txt'));
这里两个最受好评的答案都不适用于异步流,因为它们只是通过管道传输东西,而不管源流是否准备好生成。我必须将内存中的字符串流与来自数据库的数据馈送结合起来,并且数据库内容始终位于结果流的末尾,因为它需要一秒钟才能获得数据库响应。这就是我最终为我的目的而写的内容。
export function joinedStream(...streams: Readable[]): Readable {
function pipeNext(): void {
const nextStream = streams.shift();
if (nextStream) {
nextStream.pipe(out, { end: false });
nextStream.on('end', function() {
pipeNext();
});
} else {
out.end();
}
}
const out = new PassThrough();
pipeNext();
return out;
}
streamee.js是一组基于 node 1.0+ 流的流转换器和作曲家,包括一个连接方法:
var stream1ThenStream2 = streamee.concatenate([stream1, stream2]);
下面的代码对我有用:)。已从之前给出的所有答案中获取输入
const pipeStreams = (streams) => {
const out = new PassThrough()
// Piping the first stream to the out stream
// Also prevent the automated 'end' event of out stream from firing
streams[0].pipe(out, { end: false })
for (let i = 0; i < streams.length - 2; i++) {
// On the end of each stream (until the second last) pipe the next stream to the out stream
// Prevent the automated 'end' event of out stream from firing
streams[i].on('end', () => {
streams[i + 1].pipe(out, { end: false })
})
}
// On the end of second last stream pipe the last stream to the out stream.
// Don't prevent the 'end flag from firing'
streams[streams.length - 2].on('end', () => {
streams[streams.length - 1].pipe(out)
})
return out
}