A number of recent of events had let me to take a second look at the Google
Datastore. It has improved a lot since the early days and it is a great
tool to build scalable applications.
Web2py supported it form the earliest times. Web2py also supports NDB, an
interface to the datastore that uses memcache to speed-up searches.
Now it is easier then ever:
1) setup web2py for GAE
$ web2py.py -G config
Your GAE app name: test1
optional: edit app.yaml
2) run the local development server
$ dev_appserver.py --port 8080 ./
(this comes with the GAE SDK)
3) in your models use
db = DAL('google:datastore+ndb')
--
Resources:
- http://web2py.com
- http://web2py.com/book (Documentation)
- http://github.com/web2py/web2py (Source code)
- https://code.google.com/p/web2py/issues/list (Report Issues)
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