P2P Distributed Workload for NodeJS
Partition.IO is a P2P Distributed workload for NodeJS. Partition.IO allows you to create a homogeneous system that is shared-nothing and partition tolerant.
To install just use npm
$ npm install partition.io
The api has 3 main components. The Servent, the Worker, and the Job.
The servent acts as the communication layer for the P2P system, the worker is a template that defines work to be done. The job is a representation of work being done by a worker.
Getting going with a distributed system using Partition.IO is easy.
var Servent = require'partition.io'Serventservent =port = 8888;serventon'listening'/*** If we aren't on our default port then we weren't* the first node, so connect to that one*/if serventaddressport !== portserventconnectport;;/*** First bind to our default port, if we can't then use* an ephemeral port instead*/serventon'error'iferrcode === 'EADDRINUSE'serventlisten0;;serventlistenport;
Creating a worker is also easy, just call
be sure to set the last parameter taken as callback, this is how data gets
back to Partition.IO.
/*** Create our worker* params will be passed in directly from your function definition* callback set as the last param*/var worker = serventcreateWorker'random'callbacknull MathfloorMathrandom*max;;/*** This will run the worker (as a job)*/workerdistributevar numbers = ;/*** If all our node don't respond in 5000ms, just get on with what data we* have (useful if accuracy doesn't need to be 100%)*/jobsetTTL5000;/*** Data is called once for each node that responds*/jobon'data'numberspushdata;;/*** Error is emitted if one of the callbacks calls back with error*/jobon'error' console.error;//push the random number on to the datajobon'end'console.lognumbers;;//returns a list of random numbers between 0 and 1000jobrun1000;;
Before I add more features, first I need to write some tests.
If you would like to contribute, just drop me a line or a pull request.
(The MIT License)
Copyright (c) 2011 Russell Bradberry <email@example.com>
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