Friday, March 6, 2009

The Lantern Project

I've been having a bit of a love affair with various storage platforms over the last year or so. Some notable mentions of late are Tokyo Cabinet and redis. Both are incredibly cool, fast, trivial to interface and best of all can run across multiple machines. I'll post a few pre-built interfaces at the bottom of this post so jump there for their links.

Anyway, so all of that along with my new-found and seemingly unhealthy obsession with Erlang has driven me to, of course, to build my own...

Enter The Lantern Project.

No, there's no cool story-line behind its name, I wish there were. Anyway, so just a few of the "things" driving this currently are going to be (I don't trust anything with bullets, so I'll just delimit a list): RESTful, simple "string" storage (initially - see reasoning below), based on ETS/DETS (initially - see reasoning below) and finally distributable (that will be more or less the last "phase").


Well, for starters, I absolutely love it as an interface to CouchDB and other service-oriented sites as well (twitter, facebook {to an extent - stop inventing your own methods!}). Second, it's easy implement at the client level, we already know it scales, damn near anything can connect to it, etc...etc. This was a no-brainer, I really wish redis would have this, but, trade-offs, I understand...

Why just strings at first?

I had a fun time mulling over this, do you support more complex objects at first? At first, is what I kept coming back to. If this is a learning project, then let's start small and work our way up. Makes sense (to me), but what other data type could you really use to store "anything" (take binary data out of the picture for a moment). I think that by allowing folks to marshal/encode objects as they see fit (JSON,base64,XML,whatever) that makes for a pretty good first pass.


Simple, it's in Erlang and I don't need to really "worry" about formats to get something functional out the door. If my reading is correct, they're based on Judy Arrays which gives you (I know, b-trees do it too) both constant O(1) and logarithmic O(log n)look-ups, NICE! They generally take up less memory, but you do end up utilizing more CPU. Meh, fair enough...

So there ye have it...if you want to peek at my (ahem) "progress" the github project is right here.

As promised, the gem links for redis/tokyo cabinet

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