I would see V8 as a further possible improvement, but I think that for
getting new ideas implemented quickly, native-addons + NPM is the best
way as of now.

The overhead for calling the addon doesn't seem to be that bad either
- e.g. if you look at rawhash (https://github.com/pconstr/rawhash) -
all the addon hashing methods were faster than the native v8 Object,
quoting:

150K operations:

Sparse 509 ms
Dense  330 ms
Map    463 ms
{}     754 ms



On Feb 21, 2:45 pm, Dave Clements <[email protected]> wrote:
> I don't know if this is possible or feasible, but from a usability
> perspective a fully transparent intrinsic database would be
> outstanding:
>
> require('memorymodder');
> var users = { fname: 'john', lname: 'smith', email: '[email protected]' };
>
> where memorymodder alters the underlying v8 storage structure, so
> objects arrays strings etc. seamlessly rely on a Redis like db. id
> assignments etc would be automated, but if we wanted to set one we
> could extend the prototypes like  {data: here}.id('manualid_123');
>
> dave
>
> On Feb 21, 9:09 am, Juraj Vitko <[email protected]> wrote:
>
>
>
>
>
>
>
> >https://github.com/ypocat/nodejsdb(orhttp://nodejsdb.com)
>
> > tl;dr - There are standalone database products (free or not), and
> > that's perfectly cool, but we already know how that works, so let's
> > try something different now.
>
> > The general idea is to get Node.js and a data storage engine into a
> > tighter relationship, primarily to have more control of the data, but
> > also simpler stack, and even higher performance in accessing the data.
>
> > I'm using the name "Intrinsic" because "In-process" is not exactly
> > accurate. E.g. there may be a shared-memory implementation shared by
> > multiple Nodes, or synchronized in-process implementation shared by
> > different Node Isolates (if these make it into Node), etc.
>
> > I really like the base concept of Redis, because it provides simple,
> > reliable, predictable and fast primitive building blocks (in the form
> > of commands) which can support various app logic strategies, and it's
> > not hiding the complexities and overheads of storing and querying
> > data, that more complex DB's do. (So you are more likely to have more
> > stable production in the end, instead of fiascos with overflowing
> > shards etc.)
>
> > This is also a vague follow-up to this discussion (in this 
> > group)http://goo.gl/mDWqR-although I believe we should not insist only on
> > in-memory implementations at this time.
>
> > As for the basic set of basic data structures and operations, that I
> > believe would support the above, I think we need:
>
> > 1) fast unordered Hash Map (key, value) 
> > (candidate:http://code.google.com/p/sparsehash/)
>
> > 2) Ordered Map (with minimal empty 'value' overhead to allow for
> > Ordered Set implementation if someone wants it) 
> > (candidate:http://www.cs.princeton.edu/~rs/talks/LLRB/08Penn.pdf)
>
> > 3) a list that can be used for FIFO, LIFO, stack, etc. - probably
> > something close STL's Deque. (http://www.cplusplus.com/reference/stl/
> > deque/)
>
> > I think the API for the above should be as simple as possible, so that
> > we can have multiple implementations and various optimizations later,
> > while keeping the amount of needed work down. Also, terse API is
> > simple to use.
>
> > From Node, we could do something like:
>
> > require('a-nodejsdb-impl').open('/path/db', function(err, db) {
> >   var users = db.map('users');
> >   var users_ordered_by_email = db.smap('users_by_email');
> >   users.on('put', function(k, v) {
> >     users_ordered_by_email.put(v.email, k);
> >   });
> >   users.put(1234, { fname: 'john', lname: 'smith', email: '[email protected]' });
>
> > }
>
> > ..which implements a basic User table with primary key on ID and
> > ordered index on Email. (The difference being that it gives you 200k
> > operations per second and you don't need a separate DB server.)
>
> > So if you guys have any constructive input regarding this, please post
> > it here.

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