Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.
Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
If a gis application has some tables which don’t have gis related columns, does the performance better when use multiple databases (django.db.backends.postgresql_psycopg2 and django.contrib.gis.db.backends.postgis) compared using django.contrib.gis.db.backends.postgis only?
Multiple Databases also introduce some performance overhead and complexity. Could anyone show me the best practice for this scenario?
The performance difference will be almost completely invisible. django.contrib.gis.db.backends.postgis just extends django.db.backends.postgresql_psycopg2 to add the PostGiS types. It is definitely not worth going through the complexity of multiple databases just to use the two different backends.