On Thu, Jan 26, 2012 at 15:32, Emmanuel Tabard <m...@webitup.fr> wrote:
>
> First of all, thank you for imdbpy. This is really plug'n play, well done !!!

Thanks. :-P

> Context :
> - Import all imdb database (from text dumps) - first time it's fast and ok
> - I have the imdb ids for 90% of titles and names (no need for companies and 
> characters)

That's a lot of data. :)

> My problem comes when imdbpy updates my database. It takes hours to save the 
> imdb ids and it consumes a *lot* of memory. Almost all of my RAM (24go) ...
>
> Is there a way to optimize that step ? Why does it takes so much memory ?

It's so slow and takes so much memory because it was thought to work with
a few hundreds of entries. :-D

Wow, that's an interesting problem... I guess it can be heavily improved,
especially if we can store some information to the disc.
Anyway, it's not an easy task: the real problem is that we don't have a
unique ID to identify a movie (that would be the ID that we're saving... but
the problem is matching it to the other information of the row: title, year,
imdb_index, kind, etc. etc.)

Hmmm... I promise to think about it in the weekend.  If anyone have a
nice solution to this problem, any hint is welcome!

-- 
Davide Alberani <davide.alber...@gmail.com>  [PGP KeyID: 0x465BFD47]
http://www.mimante.net/

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