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scramjet-core

A pluggable minimal version of Scramjet that focuses only on stream transform and exposes only core features

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Scramjet core

This is the minimal, dependency free version of scramjet used as of Scramjet version 3.0.0 as a base for scramjet and scramjet plugins.

Unless you are sure, you should be better off with using the main repo and module.

What does it do?

Scramjet is a fast and simple functional stream programming framework written on top of node.js object streams. It exposes a standards inspired javascript API and written fully in native ES6. Thanks to it some built in optimizations scramjet is much faster and much much simpler than similar frameworks when using asynchronous operations.

It is built upon the logic behind three well known javascript array operations - namingly map, filter and reduce. This means that if you've ever performed operations on an Array in JavaScript - you already know Scramjet like the back of your hand.

The main advantage of scramjet is running asynchronous operations on your data streams. First of all it allows you to perform the transformations both synchronously and asynchronously by using the same API - so now you can "map" your stream from whatever source and call any number of API's consecutively.

The benchmarks are punblished in the scramjet-benchmark repo.

Example

How about a CSV parser of all the parkings in the city of Wrocław from http://www.wroclaw.pl/open-data/...

const request = require("request");
const {StringStream} = require("scramjet");

let columns = null;
request.get("http://www.wroclaw.pl/open-data/opendata/its/parkingi/parkingi.csv")
    .pipe(new StringStream())
    .split("\n")
    .parse((line) => line.split(";"))
    .pop(1, (data) => columns = data)
    .map((data) => columns.reduce((acc, id, i) => (acc[id] = data[i], acc), {}))
    .on("data", console.log.bind(console))

Usage

Scramjet uses functional programming to run transformations on your data streams in a fashion very similar to the well known event-stream node module. Most transformations are done by passing a transform function. You can write your function in three ways:

  1. Synchronous

Example: a simple stream transform that outputs a stream of objects of the same id property and the length of the value string.

   datastream.map(
       (item) => ({id: item.id, length: item.value.length})
   )
  1. Asynchronous using ES2015 async await

Example: A simple stream that uses Fetch API to get all the contents of all entries in the stream

datastream.map(
    async (item) => fetch(item)
)
  1. Asynchronous using Promises

Example: A simple stream that fetches an url mentioned in the incoming object

   datastream.map(
       (item) => new Promise((resolve, reject) => {
           request(item.url, (err, res, data) => {
               if (err)
                   reject(err); // will emit an "error" event on the stream
               else
                   resolve(data);
           });
       })
   )

The actual logic of this transform function is as if you passed your function to the then method of a Promise resolved with the data from the input stream.

API Docs

Here's the list of the exposed classes and methods, please review the specific documentation for details:

Note that:

  • Most of the methods take a callback argument that operates on the stream items.
  • The callback, unless it's stated otherwise, will receive an argument with the next chunk.
  • If you want to perform your operations asynchronously, return a Promise, otherwise just return the right value.

The quick reference of the exposed classes:

BufferStream ⇐ DataStream

A factilitation stream created for easy splitting or parsing buffers.

Useful for working on built-in Node.js streams from files, parsing binary formats etc.

A simple use case would be:

 fs.createReadStream('pixels.rgba')
     .pipe(new BufferStream)         // pipe a buffer stream into scramjet
     .breakup(4)                     // split into 4 byte fragments
     .parse(buf => [
         buf.readInt8(0),            // the output is a stream of R,G,B and Alpha
         buf.readInt8(1),            // values from 0-255 in an array.
         buf.readInt8(2),
         buf.readInt8(3)
     ]);

Detailed BufferStream docs here

MethodDescriptionExample
new BufferStream(opts)Creates the BufferStream
bufferStream.shift(chars, func) ⇒ BufferStreamShift given number of bytes from the original streamshift example
bufferStream.split(splitter) ⇒ BufferStreamSplits the buffer stream into buffer objectssplit example
bufferStream.breakup(number) ⇒ BufferStreamBreaks up a stream apart into chunks of the specified lengthbreakup example
bufferStream.stringify(encoding) ⇒ StringStreamCreates a string stream from the given buffer streamstringify example
bufferStream.parse(parser) ⇒ DataStreamParses every buffer to objectparse example

~DataStream ⇐ stream.PassThrough

Detailed DataStream docs here

MethodDescriptionExample
new DataStream(opts)Create the DataStream.
dataStream.map(func, Clazz) ⇒ DataStreamTransforms stream objects into new ones, just like Array.prototype.mapmap example
dataStream.filter(func) ⇒ DataStreamFilters object based on the function outcome, just likefilter example
dataStream.reduce(func, into) ⇒ PromiseReduces the stream into a given accumulatorreduce example
dataStream.use(func) ⇒ *Calls the passed method in place with the stream as first argument, returns result.use example
dataStream.tee(func) ⇒ DataStreamDuplicate the streamtee example
dataStream.each(func) ↩︎Performs an operation on every chunk, without changing the stream
dataStream.while(func) ⇒ DataStreamReads the stream while the function outcome is truthy.
dataStream.until(func) ⇒ DataStreamReads the stream until the function outcome is truthy.
dataStream.catch(callback) ↩︎Provides an way to catch errors in chanined streams.
dataStream.raise(err) ⇒ PromiseExecutes all error handlers and if none resolves, then emits an error.
dataStream.pipe(to, options) ⇒ WritableOverride of node.js Readable pipe.
dataStream.bufferify(serializer) ⇒ BufferStreamCreates a BufferStreambufferify example
dataStream.stringify(serializer) ⇒ StringStreamCreates a StringStreamstringify example
dataStream.toArray(initial) ⇒ PromiseAggregates the stream into a single Array
dataStream.toGenerator() ⇒ Iterable.<Promise.<*>>Returns an async generator
dataStream._selfInstance() ⇒ DataStreamReturns a new instance of self._selfInstance example
DataStream.fromArray(arr) ⇒ DataStreamCreate a DataStream from an ArrayfromArray example
DataStream.fromIterator(iter) ⇒ DataStreamCreate a DataStream from an IteratorfromIterator example

~StringStream ⇐ DataStream

A stream of string objects for further transformation on top of DataStream.

Detailed StringStream docs here

MethodDescriptionExample
new StringStream(encoding)Constructs the stream with the given encoding
stringStream.shift(bytes, func) ⇒ StringStreamShifts given length of chars from the original streamshift example
stringStream.split(splitter) ⇒ StringStreamSplits the string stream by the specified regexp or stringsplit example
stringStream.match(splitter) ⇒ StringStreamFinds matches in the string stream and streams the match resultsmatch example
stringStream.toBufferStream() ⇒ StringStreamTransforms the StringStream to BufferStreamtoBufferStream example
stringStream.parse(parser) ⇒ DataStreamParses every string to objectparse example
StringStream.SPLIT_LINEA handly split by line regex to quickly get a line-by-line stream
StringStream.fromString(str, encoding) ⇒ StringStreamCreates a StringStream and writes a specific string.

~MultiStream

An object consisting of multiple streams than can be refined or muxed.

Detailed MultiStream docs here

MethodDescriptionExample
new MultiStream(streams, options)Crates an instance of MultiStream with the specified stream list
multiStream.streams : ArrayArray of all streams
multiStream.length ⇒ numberReturns the current stream length
multiStream.map(aFunc) ⇒ MultiStreamReturns new MultiStream with the streams returned by the tranform.map example
multiStream.find(...args) ⇒ DataStreamCalls Array.prototype.find on the streams
multiStream.filter(func) ⇒ MultiStreamFilters the stream list and returns a new MultiStream with only thefilter example
multiStream.mux(cmp) ⇒ DataStreamMuxes the streams into a single onemux example
multiStream.add(stream)Adds a stream to the MultiStreamadd example
multiStream.remove(stream)Removes a stream from the MultiStreamremove example

License and contributions

As of version 2.0 Scramjet is MIT Licensed.

Help wanted

The project need's your help! There's lots of work to do - transforming and muxing, joining and splitting, browserifying, modularizing, documenting and issuing those issues.

If you want to help and be part of the Scramjet team, please reach out to me, signicode on Github or email me: scramjet@signicode.com.

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Package last updated on 04 Mar 2018

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