Good point.  I handle this with a second (or 3rd ... N-th) node process --
often running on another machine via message queues.  The main node process
just dishes out jobs and gets the results.  It's a primitive kind of
map-reduce but works while I wait to see what webworker model achieves
critical mass for node.  :)
On Apr 18, 2012 1:47 PM, "christkv" <[email protected]> wrote:

> If you have a lot of data traversal will look the eventloop. You might
> want to run the lookups outside your web process or it will limit your
> concurrency. I suggest a child process to do the lookups against if
> you wish to keep the data in memory.
>
>
> On Apr 18, 9:31 pm, Gil LB <[email protected]> wrote:
> > Hello everybody, first, I am sorry about english mistakes, I am
> brasilian =)
> >
> > I have an application that have a huge data, but a small part of it is
> > always accessed all the time by all the users.
> >
> > I am thinking about having a cache in the application state, on an
> matrix,
> > but I am looking for some advice of you.
> > The data should be ordered by X and Y coordinates, and will be iterated
> > everytime some user want to know which data is near of him by the
> > coordinates.
> >
> > Example:
> >
> > var data = [
> > 31: [
> > 56: "entry1",
> > 58: "entry2",
> > 78: "entry3"
> > ]
> > 34: [
> > 2: "entry4"
> > ]
> > ];
> > //it will be a lot larger than that
> >
> > //and the user will call something like:
> > findAllEntriesNear(32, 30);
> >
> > It is a good idea store in an Matrix like that?
> >
> > Thank you everybody =)
> >
> > Gil Lopes Bueno
>
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