hi,
First of all, thank you for imdbpy. This is really plug'n play, well done !!!
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)
- I'll pay imdb for using those datas
Alberani a écrit :
On Thu, Jan 26, 2012 at 18:50, Emmanuel Tabard m...@webitup.fr wrote:
# TIME FINAL : 1223min, 59sec (wall) 1095min, 16sec (user) 13min, 7sec
(system)
:-)
You can notice that :
- title 84% success
- name 99% success
For sure movie titles change more and faster than
to restore.
Should be freaking fast ...
Le 12 févr. 2012 à 14:56, Davide Alberani a écrit :
On Sun, Feb 12, 2012 at 14:20, Emmanuel Tabard m...@webitup.fr wrote:
Fair enough !
When it was selecting all the not null ids, the memory of the process grows
up and the size of the .db never grows up.
My
= title_extract.imdb_id
-- Restore imdb ids for people (5min)
UPDATE name
INNER JOIN name_extract USING (md5sum)
SET name.imdb_id = name_extract.imdb_id
Total time save/restore : less than 10minutes
Le 12 févr. 2012 à 15:52, Emmanuel Tabard a écrit :
I was wondering, why don't you use the original dbs
are over !
Thanks you very much for your help ;-)
Le 12 févr. 2012 à 19:23, Davide Alberani a écrit :
On Sun, Feb 12, 2012 at 16:50, Emmanuel Tabard m...@webitup.fr wrote:
Here is a little workarround :
Well, that's a very interesting solution, thanks. :-)
Anyway, I have to think
: 1min, 19sec (wall) 0min, 0sec (user) 0min, 0sec (system)
Freaking fast
thank you for those quick fixs ! Also, thanks for the credits ;-)
Le 19 févr. 2012 à 11:26, Davide Alberani a écrit :
On Sun, Feb 12, 2012 at 21:17, Emmanuel Tabard m...@webitup.fr wrote:
Well, that's a very
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