it does not decide. It tries to cache everything that you ask it to
cache so you should be careful.

On Mar 10, 6:45 pm, Richard <[email protected]> wrote:
> I would also be interested in something like this.
>
> How does the cache decide how much RAM to use?
>
> On Mar 10, 4:20 am, Thadeus Burgess <[email protected]> wrote:
>
> > So an option to DAL.__init__(auto_cache=False, clear_cache_on_update=False) 
> > ?
>
> > auto_cache does an infinity cache time, where if there is any updates
> > done to the db all cached selects are cleared.... and alternatively an
> > option to only clear cached selects that have to do with the table
> > that is selected.
>
> > I feel about 50% on the idea... not sure I want every single select I
> > make automatically cached, you definitely wouldn't want this if your
> > competing for RAM, but if you can afford the RAM this would be nice.
>
> > -Thadeus
>
> > On Tue, Mar 9, 2010 at 11:00 AM, mdipierro <[email protected]> wrote:
> > > You can already do
>
> > > cache.ram.clear(db._uri + '/SELECT')
>
> > > and it will clear all cached select statements. You have to specify
> > > db._uri because you may have multiple db cached.
>
> > > Massimo
>
> > > On Mar 9, 10:37 am, Thadeus Burgess <[email protected]> wrote:
> > >> What if the cache system includes a "category" or "type" field. All
> > >> cached SQL could be of type "SQL", and then say responses can be
> > >> cached as "RESP". This way if you refresh the cache instead of
> > >> clearing the entire thing, we can specify
>
> > >> cache.ram.clear(type="SQL") and it will only clear the sql typed
> > >> entries, leaving other aspects of the cache alone.
>
> > >> however cache.ram.clear() will still clear everything.
>
> > >> That way, the DAL could be set a flag to clear its own cache upon
> > >> i/u/d operations.
>
> > >> How does this sound? If good I can start on the patch right away :)
>
> > >> -Thadeus
>
> > >> On Tue, Mar 9, 2010 at 10:08 AM, mdipierro <[email protected]> 
> > >> wrote:
> > >> > You can do that if after insert/update/delete you do
>
> > >> > db(...).select(cache=(cache.disk,0))
>
> > >> > Massimo
>
> > >> > On Mar 9, 9:06 am, Praneeth <[email protected]> wrote:
> > >> >> Would it be better to have a non time based caching? Say refresh cache
> > >> >> on DB update?
> > >> >> Time based caching requires guessing the cache time - which in my
> > >> >> opinion seems like a bad thing to do.
>
> > >> >> Thoughts?
>
> > >> >> --
> > >> >> Praneeth
>
> > >> >> On 03/09/2010 08:33 PM, mdipierro wrote:
>
> > >> >> > It is there already.
>
> > >> >> > values=db(...).select(cache=(cache.disk,3600))
>
> > >> >> > 3600 is the time.
>
> > >> >> > On Mar 9, 5:23 am, Praneeth <[email protected]> wrote:
>
> > >> >> >> Hello all,
>
> > >> >> >> I was wondering if DAL level caching could be added. I am aware of
> > >> >> >> cache.ram and cache.disk, but these require the usage of a 
> > >> >> >> decorator
> > >> >> >> over the functions. I feel that a cache option to cache at the DAL 
> > >> >> >> level
> > >> >> >> that could be enabled by flipping an option in db.py of an 
> > >> >> >> application
> > >> >> >> would be of great help. The cache can be a key value pair of sorts,
> > >> >> >> where the cache is flushed on each write/update and cached on the 
> > >> >> >> first
> > >> >> >> read - There are probably smarter ways of doing this.
>
> > >> >> >> Thoughts?
>
> > >> >> >> --
> > >> >> >> Praneeth
>
> > >> > --
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