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Firehose
Building a real-time data stream with NodeJS

             Luca Grulla@Forward
               London, 2/8/2011
Introduction

Or what we wanted to build
We like to have a (near) real-time view
          of the data stream
Resilient
Scalable
Accurate
(but not necessarily precise)
Verse and Chorus

  Or how we built it
Stack
• NodeJS (0.4.9)
• CoffeeScript
• ZeroMQ
Architecture
Interlude

Or joys and pitfalls of building a tail
          library for node
Living the asynchronous dream
Living the asynchronous dream
• Error manifests itself only at high throughput
  (7MB/secs)

• The few implementations you can find around
  are wrong (including Log.io – we are planning
  to contribute back)
Breathing in an asynchronous way
Learnings
• You need to think asynchronous to write
  asynchronous code
• Dispatch internal events if you need to keep
  control of the flow
• “Internal queues” to scale(up to a certain
  limit)
Performance
• Beyond 5MB we start to fill the internal queue
• We are limited by IO, not from CPU/memory
• Consistent throughput
Questions ?
References
• npm install tail
• https://github.com/forward/node-tail

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Firehose

Editor's Notes

  1. Because you can do cool stuff with this !!Previous implementation was with Flume+zeroMQ..flume was unraliable