Re: Use case for #14914 (to_db_python)

2013-08-08 Thread Alejandro Dubrovsky
On Wednesday, August 7, 2013 5:22:29 PM UTC+10, Anssi Kääriäinen wrote: > > On Monday, August 5, 2013 8:02:52 AM UTC+3, Jani Tiainen wrote: >> >> Hi, >> >> You seem to found kind of an issue which happens with GeoDjango part as >> well. Most of the geodjango operations require quite heavy to/fr

Re: Use case for #14914 (to_db_python)

2013-08-08 Thread Alejandro Dubrovsky
Thanks. I've had a look at GeoDjango and it did help. I've hacked something that works well enough for my purposes, but it assumes that the default connection is the one holding the data. I agree with you that it would be useful if the data mangling/demangling stage would be more easily overrid

Re: Use case for #14914 (to_db_python)

2013-08-07 Thread Anssi Kääriäinen
On Monday, August 5, 2013 8:02:52 AM UTC+3, Jani Tiainen wrote: > > Hi, > > You seem to found kind of an issue which happens with GeoDjango part as > well. Most of the geodjango operations require quite heavy to/from data > mangling while reading and/or writing data. > > Currently there isn't c

Re: Use case for #14914 (to_db_python)

2013-08-04 Thread Jani Tiainen
Hi, You seem to found kind of an issue which happens with GeoDjango part as well. Most of the geodjango operations require quite heavy to/from data mangling while reading and/or writing data. Currently there isn't clean solution to tell (per field) how data should be treated per backend. Djang