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event-stream
Advanced tools
The event-stream npm package is a toolkit for working with Node.js streams. It provides a collection of tools to create, manipulate, and manage streams in a functional programming style. It is useful for handling data in a streaming fashion, which can be more efficient than loading all data into memory at once.
Map
Applies a function to each data event in a stream and pushes the result downstream.
es.map(function (data, callback) {
callback(null, data.toString().toUpperCase());
})
ReadArray
Creates a readable stream from an array of items.
es.readArray(['one', 'two', 'three'])
WriteArray
Collects all data from a stream and passes it as an array to a callback function.
es.writeArray(function (err, array) {
console.log(array);
})
Duplex
Combines a writable and readable stream into a duplex (readable and writable) stream.
es.duplex(writeStream, readStream)
Pipeline
Pipes streams together and destroys all of them if one of them closes.
es.pipeline(stream1, stream2, stream3)
A tiny wrapper around Node.js streams.Transform that makes it easier to create transform streams. It is similar to event-stream's map feature but focuses specifically on transform streams.
Highland.js manages synchronous and asynchronous code easily, using nothing more than standard JavaScript and Node-like streams. It is more functional and provides more utilities for stream manipulation compared to event-stream.
This module turns a pipeline of streams into a single duplex stream. It is similar to event-stream's pipeline feature but with a different API and error handling approach.
Combines an array of streams into a single duplex stream using pump and duplexify. It is similar to event-stream's duplex and pipeline features but uses pump for better error handling.
<img src=https://secure.travis-ci.org/dominictarr/event-stream.png?branch=master>
[] (http://ci.testling.com/dominictarr/event-stream)
Streams are node's best and most misunderstood idea, and EventStream is a toolkit to make creating and working with streams easy.
Normally, streams are only used of IO,
but in event stream we send all kinds of objects down the pipe.
If your application's input and output are streams,
shouldn't the throughput be a stream too?
The EventStream functions resemble the array functions,
because Streams are like Arrays, but laid out in time, rather than in memory.
All the event-stream
functions return instances of Stream
.
event-stream
creates
0.8 streams
, which are compatible with 0.10 streams
NOTE: I shall use the term "through stream" to refer to a stream that is writable and readable.
###simple example:
//pretty.js
if(!module.parent) {
var es = require('event-stream')
es.pipeline( //connect streams together with `pipe`
process.openStdin(), //open stdin
es.split(), //split stream to break on newlines
es.map(function (data, callback) {//turn this async function into a stream
callback(null
, inspect(JSON.parse(data))) //render it nicely
}),
process.stdout // pipe it to stdout !
)
}
run it ...
curl -sS registry.npmjs.org/event-stream | node pretty.js
Reemits data synchronously. Easy way to create syncronous through streams.
Pass in an optional write
and end
methods. They will be called in the
context of the stream. Use this.pause()
and this.resume()
to manage flow.
Check this.paused
to see current flow state. (write always returns !this.paused
)
this function is the basis for most of the syncronous streams in event-stream
.
es.through(function write(data) {
this.emit('data', data)
//this.pause()
},
function end () { //optional
this.emit('end')
})
##map (asyncFunction)
Create a through stream from an asyncronous function.
var es = require('event-stream')
es.map(function (data, callback) {
//transform data
// ...
callback(null, data)
})
Each map MUST call the callback. It may callback with data, with an error or with no arguments,
callback()
drop this data.
this makes the map work like filter
,
note:callback(null,null)
is not the same, and will emit null
callback(null, newData)
turn data into newData
callback(error)
emit an error for this item.
Note: if a callback is not called,
map
will think that it is still being processed,
every call must be answered or the stream will not know when to end.Also, if the callback is called more than once, every call but the first will be ignored.
Same as map
, but the callback is called synchronously. Based on es.through
Break up a stream and reassemble it so that each line is a chunk. matcher may be a String
, or a RegExp
Example, read every line in a file ...
es.pipeline(
fs.createReadStream(file, {flags: 'r'}),
es.split(),
es.map(function (line, cb) {
//do something with the line
cb(null, line)
})
)
split
takes the same arguments as string.split
except it defaults to '\n' instead of ',', and the optional limit
paremeter is ignored.
String#split
create a through stream that emits separator
between each chunk, just like Array#join.
(for legacy reasons, if you pass a callback instead of a string, join is a synonym for es.wait
)
Replace all occurences of from
with to
. from
may be a String
or a RegExp
.
Works just like string.split(from).join(to)
, but streaming.
Convienience function for parsing JSON chunks. For newline separated JSON,
use with es.split
fs.createReadStream(filename)
.pipe(es.split()) //defaults to lines.
.pipe(es.parse())
convert javascript objects into lines of text. The text will have whitespace escaped and have a \n
appended, so it will be compatible with es.parse
objectStream
.pipe(es.stringify())
.pipe(fs.createWriteStream(filename))
##readable (asyncFunction)
create a readable stream (that respects pause) from an async function.
while the stream is not paused,
the function will be polled with (count, callback)
,
and this
will be the readable stream.
es.readable(function (count, callback) {
if(streamHasEnded)
return this.emit('end')
//...
this.emit('data', data) //use this way to emit multiple chunks per call.
callback() // you MUST always call the callback eventually.
// the function will not be called again until you do this.
})
you can also pass the data and the error to the callback.
you may only call the callback once.
calling the same callback more than once will have no effect.
##readArray (array)
Create a readable stream from an Array.
Just emit each item as a data event, respecting pause
and resume
.
var es = require('event-stream')
, reader = es.readArray([1,2,3])
reader.pipe(...)
create a writeable stream from a callback,
all data
events are stored in an array, which is passed to the callback when the stream ends.
var es = require('event-stream')
, reader = es.readArray([1, 2, 3])
, writer = es.writeArray(function (err, array){
//array deepEqual [1, 2, 3]
})
reader.pipe(writer)
Turn a pipeline into a single stream. pipeline
returns a stream that writes to the first stream
and reads from the last stream.
Listening for 'error' will recieve errors from all streams inside the pipe.
connect
is an alias forpipeline
.
es.pipeline( //connect streams together with `pipe`
process.openStdin(), //open stdin
es.split(), //split stream to break on newlines
es.map(function (data, callback) {//turn this async function into a stream
callback(null
, inspect(JSON.parse(data))) //render it nicely
}),
process.stdout // pipe it to stdout !
)
A stream that buffers all chunks when paused.
var ps = es.pause()
ps.pause() //buffer the stream, also do not allow 'end'
ps.resume() //allow chunks through
Takes a writable stream and a readable stream and makes them appear as a readable writable stream.
It is assumed that the two streams are connected to each other in some way.
(This is used by pipeline
and child
.)
var grep = cp.exec('grep Stream')
es.duplex(grep.stdin, grep.stdout)
Create a through stream from a child process ...
var cp = require('child_process')
es.child(cp.exec('grep Stream')) // a through stream
waits for stream to emit 'end'. joins chunks of a stream into a single string. takes an optional callback, which will be passed the complete string when it receives the 'end' event.
also, emits a single 'data' event.
readStream.pipe(es.join(function (err, text) {
// have complete text here.
}))
FAQs
construct pipes of streams of events
The npm package event-stream receives a total of 2,322,761 weekly downloads. As such, event-stream popularity was classified as popular.
We found that event-stream demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
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