request for Details about Dictionaries in Python

Michael Wieher michael.wieher at gmail.com
Fri Mar 14 15:27:52 CET 2008


2008/3/14, Gerardo Herzig <gherzig at fmed.uba.ar>:
>
> Saideep A V S wrote:
>
> >Hello Sir,
> >
> >   Thank You a ton. I was looking for this function. As far what I've
> >understood from the "Shelve" module is that, there would be no memory
> >wastage and the whole transactions would be done from and to the file we
> >specify. Am I right?.
> >
> >  My actual task is to build a basic dictionary for two languages and
> store
> >word and its meaning in another language in a file and must be able to
> >access it through on-disk Hash tables. as these would be saving memory
> space
> >for a huge data.
> >
> >so, I hope shelve is the right one, I am searching for., I shall try out
> >with the function.
> >
> >
> >Thank You once again.
> >
> >Cheers,
> >Saideep
> >
> >
> >
> Plz remember allways reply to the python group also. They are many many
> many ones to know more than i do!
> Well, i dont quite think that it would be "no memory wastage", since
> when you read/write from disk, there is memory involved in the process.
>
> I *really* believe that, when data goes huge, a *real* database (like
> postgres, and others) has to come and play the game.
>
> Hope that helps
>
> Gerardo
>
>
>
> --
> http://mail.python.org/mailman/listinfo/python-list
>

I'm not sure if a well-written file/seek/read algorithm is faster than a
relational database...
sure a database can store relations and triggers and all that, but if he's
just doing a lookup for static data, then I'm thinking disk IO is faster for
him?  not sure
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