And what about this:
dal = DAL()
dal.define_database('fsdb','filesystem')
dal.define_database('memdb','memcache')
dal.define_database('ramdb','dict')
cache.mem = CacheClient(db=dal.memdb)
cache.ram = CacheClient(db=dal.ramdb)
cache.disk = CacheClient(db=dal.fsdb)
@cache(request.env.path_info,time_expire=5,cache_model=cache.mem)
def cache_controller_in_ram():
import time
t=time.ctime()
return dict(time=t,link=A('click me',_href=URL(r=request)))
Robin
On Feb 7, 11:25 am, Robin B <[email protected]> wrote:
> I am implementing the joins on GAE, and I realized that you should be
> able to perform joins between DAL databases whether it is the same
> driver or not.
>
> fsdb = FSDB(...,name='fsdb')
> gaedb = GAEDB(...,name='gaedb')
>
> rows = ((gaedb.users.name=='bob')&
> (gaedb.users.id==fsdb.users.id)).select(fsdb.users.data)
>
> rows[0].fsdb.users.data
>
> This should would work for FSDB, DICTDB, and also any API that can be
> abstracted as a DAL (eg. MEMDB, ...).
>
> Robin
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