Have you looked at Trident + DRPC? 

https://github.com/nathanmarz/storm/wiki/Trident-tutorial

Also, I came across the following once but I've never tried it and I'm
not sure how mature it is:

https://github.com/chriskchew/restexpress-storm

Marc

On Fri, Apr 18, 2014 at 04:40:06PM +0200, Joël Kuiper wrote:
> Hey, 
> 
> So I’m contemplating using Storm for processing for doing rather complicated 
> analyses on user submitted data (either through HTTP or WebSockets). 
> Storm seems perfect for the multi-stage processing that I need, and it’s 
> real-time nature would fit the type of interactions I require. 
> Furthermore many steps would involve already written analyses in Python and 
> R, so using bolts for that would be great.
> 
> However, hooking up Storm behind an HTTP like Ring (optionally with http-kit) 
> seems non-trivial. 
> 
> I first thought of pushing the messages on a core.async queue and having a 
> Spout consume them. But I realise this might fail in a cluster. 
> So the current thinking is 
> 
> * HTTP Request -> create job & push job on Kafka jobs topic 
> * Inform the user about the created job, which includes a (WebSocket) url to 
> listen for results
> * Storm consumes from Kafka 
> * End results are pushed to bolts that push on a Kafka topic for results 
> * Make server listen on results topic & push results to appropriate jobs 
> (i.e. notify user on job url) 
> 
> But to be honest … this seems a bit of hassle to set-up. It would require 
> server/developers to set-up Kafka, Storm and all related dependencies. 
> It’s a lot of “stuff” just to get it running, which might hamper developer 
> adaptation at our shop.
> 
> Is there a simpeler way of getting this going, or does this seem to be the 
> most appropriate way?
> 
> Many thanks,
> Joël
> 


Reply via email to