parallel and distributed data processing engine
npm install skale!logo
High performance distributed data processing and machine learning.
Skale provides a high-level API in Javascript and an optimized
parallel execution engine on top of NodeJS.
sh
npm install skale
`Word count example:
javascript
var sc = require('skale').context();sc.textFile('/my/path/*.txt')
.flatMap(line => line.split(' '))
.map(word => [word, 1])
.reduceByKey((a, b) => a + b, 0)
.count(function (err, result) {
console.log(result);
sc.end();
});
`$3
In local mode, worker processes are automatically forked and
communicate with app through child process IPC channel. This is
the simplest way to operate, and it allows to use all machine
available cores.To run in local mode, just execute your app script:
sh
node my_app.js
`or with debug traces:
sh
SKALE_DEBUG=2 node my_app.js
`$3
In distributed mode, a cluster server process and worker processes
must be started prior to start app. Processes communicate with each
other via raw TCP or via websockets.To run in distributed cluster mode, first start a cluster server
on
:
`sh
./bin/server.js
`On each worker host, start a worker controller process which connects
to server:
sh
./bin/worker.js -H server_host
`Then run your app, setting the cluster server host in environment:
sh
SKALE_HOST=server_host node my_app.js
`The same with debug traces:
sh
SKALE_HOST=server_host SKALE_DEBUG=2 node my_app.js
``* Contributing guide
* Documentation
* Gitter for support and
discussion
* Mailing list
for discussion about use and development
The original authors of skale are Cedric Artigue and Marc Vertes.