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Oracle Drags Its Feet in the JavaScript Trademark Dispute
Oracle seeks to dismiss fraud claims in the JavaScript trademark dispute, delaying the case and avoiding questions about its right to the name.
Simple yet powerful live data computation framework like event-stream, but written in ES6 and using streams2
Scramjet is a powerful, infinitely scalable yet simple framework for transformation and analysis of so called "live data". 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.
Scramjet can transform streams both in synchronous and asynchronous fashion thus facilitaing. The transorms can be run in chains
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("../lib/string-stream");
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(";"))
.filter((data) => columns === null ? (columns = data, false) : true) // some kind of a "pop function maybe?"
.map((data) => columns.reduce((acc, id, i) => (acc[id] = data[i], acc), {}))
.on("data", console.log.bind(console))
Scramjet works in the browser too, there's a nice, self-contained sample in here, just run it:
git clone https://github.com/MichalCz/scramjet.git
cd scramjet
npm install .
cd samples/browser
npm start # point your browser to http://localhost:30035 and open console
If you need your scramjet version for the browser, grab browserify and just run:
browserify lib/index -standalone scramjet -o /path/to/your/browserified-scramjet.js
With this you can run your transformations in the browser, use websockets to send them back and forth. If you do and fail for some reason, please remember to be issuing those issues - as no one person can test all the use cases and I am but one person.
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 two ways:
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})
)
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.
At this moment Scramjet is released under the terms of GPL-3.
The project is in it's relative infancy, 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, MichalCz on Github or email me: scramjet@signicode.com.
FAQs
Lightweight and real-time data functional stream programming framework like event-stream, written in ES6 using async await with multi-threading and typescript support
The npm package scramjet receives a total of 1,119 weekly downloads. As such, scramjet popularity was classified as popular.
We found that scramjet demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 5 open source maintainers collaborating on the project.
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