I'm starting a new project which is roughly hosting a bunch of sites. I
want the sites to be isolated, they'll all have the same schema (data
definition), but will store their data on different 'name-spaces'.
The front end will be a python web app. And I'd like to have this
application talk to all the 'name-spaces' at the same time:
With a request on example.com/site1, the web app will use the
'name-space' site1, with example.com/site2 it will use site2.
I am using Postgres. There are 2 options for the 'name-space': Database
or Schema [1]:
1. One database per site
2. One database for all the sites and 1 schema per site
Solution #1 would require to maintain 1 connection per site & per python
process. That means: lots of connections, & lots of memory needed. One
the other hand, this solution is supported by SQLAlchemy out-of-the-box.
I'll have a dictionary like that:
{'site1': Engine('postgres://.../site1',
'site2': Engine('postgres://.../site2', ...}
And whenever a request comes in I get the right engine via this
dictionary.
Solution #2 is not supported natively by SQLAlchemy. Each time a request
comes-in I'll have to issue an additional query "SET search_path TO
MY_SITE" where MY_SITE is the schema associated with the site.
Solution #2 seems much more lightweight to me. The only problem is the
small overhead that might be created by the additional query.
What do you guys think? Will I get into trouble with solution #2?
If you have alternative suggestions I'd like to hear them :)
Regards,
[1]: http://www.postgresql.org/docs/8.4/interactive/ddl-schemas.html
--
Henry Prêcheur
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