On Jun 18, 8:09 am, Pierre Quentel <quentel.pie...@wanadoo.fr> wrote:
> On 18 juin, 05:28, per <perfr...@gmail.com> wrote:
>
>
>
>
>
> > hi all,
>
> > i'm looking for a native python package to run a very simple data
> > base. i was originally using cpickle with dictionaries for my problem,
> > but i was making dictionaries out of very large text files (around
> > 1000MB in size) and pickling was simply too slow.
>
> > i am not looking for fancy SQL operations, just very simple data base
> > operations (doesn't have to be SQL style) and my preference is for a
> > module that just needs python and doesn't require me to run a separate
> > data base like Sybase or MySQL.
>
> > does anyone have any recommendations? the only candidates i've seen
> > are snaklesql and buzhug... any thoughts/benchmarks on these?
>
> > any info on this would be greatly appreciated. thank you
>
> Hi,
>
> buzhug syntax doesn't use SQL statements, but a more Pythonic syntax :
>
> from buzhug import Base
> db = Base('foo').create(('name',str),('age',int))
> db.insert('john',33)
> # simple queries
> print db(name='john')
> # complex queries
> print [ rec.name for rec in db if age > 30 ]
> # update
> rec.update(age=34)
>
> I made a few speed comparisons with Gadfly, KirbyBase (another pure-
> Python DB, not maintained anymore) and SQLite. You can find the
> results on the buzhug home page :http://buzhug.sourceforge.net
>
> The conclusion is that buzhug is much faster than the other pure-
> Python db engines, and (only) 3 times slower than SQLite
>
> - PierreWhich means that, at this point in time, since both gadfly and sqlite use approximately the same API, sqlite takes the lead as a core package (post-2.5 anyway) -- http://mail.python.org/mailman/listinfo/python-list
