Hi Henrik, thanks, that's an interesting read. So dividing a database in several smaller files and accessing them with something like id or ext gives a distributed faster database, and when doing so ie in an Amazon EC2 account the database might (automagically) end up on different servers, thus becoming faster and (almost endlessly) scalable. I have no practical experience with deploying picolisp or the amazon cloud, so I'm just guessing, I just want to get a general idea of what can be done with picolisp and what not.
Thorsten PS Is anybody using Emacs/Gnus for this mailing list and can give some advice how to make that work? 2011/3/24 Henrik Sarvell <[email protected]> > Hi Thorsten. > > Here is a description of a real world example: > http://picolisp.com/5000/-2-I.html > > In that article you will also find some links to functions that might or > might now be of use to you, such as (ext). > > When it comes to distributed data and PicoLisp you don't get much for free > (apart from the aforementioned ext functionality). It's more like a > framework with which you are able to create something more specific. > > In short, you won't get something like Cassandra, Hadoop or Riak out of the > box but you could certainly create something like them with the tools that > you do have. > > And you could probably create something similar to those three with less > hassle than it was to create them in their respective languages (Java / > Erlang). > > /Henrik > > > > On Thu, Mar 24, 2011 at 6:11 PM, Thorsten < > [email protected]> wrote: > >> Hallo, >> I recently discovered (amazing) picolisp and have a few (I hope not too >> naive) questions. I write one mail for each question to not mix up >> things. >> >> I read in the documentations about distributed picolisp databases, the >> ability to make picolisp apps faster and faster by adding hardware cores >> (and using different pipes of the underlying linux OS?), and the >> possibility to deploy picolisp-apps in the clouds. But these things are >> only mentioned, without further explications. >> >> Since scaling and concurrency is all the hype in the Java world (scala, >> clojure) I would like to know a bit more about capabilities and limits >> of picolisp in this area, and how these things are achieved in practise >> (ie how to deploy an picolisp-app in the cloud?) >> >> Thanks >> Thorsten >> >> >
