How do I cache in ram on gae? Massimo
On Nov 30, 11:14 am, Robin B <[EMAIL PROTECTED]> wrote: > As far as I know, memcache stays consistent between deployments (its a > feature). To get automatic invalidation on deployment, you need to > work the code revision number in to the key. > > The main reason to use memcache is to get consistency between nodes > for data that could potentially be inconsistent. In this case, you do > not need to worry about consistency between nodes, because the code is > the same at *every* node. > > I would put the compiled bytecode in ram (dict). The access time will > be faster than memcache, and you do not have to worry about > invalidation. > > And if environments were available (eg. production), you could > aggressively cache the code to ram by default. > > Robin > > On Nov 30, 1:43 am, mdipierro <[EMAIL PROTECTED]> wrote: > > > Not sure any more.... some of my other tests now take longer than > > before. I need independent tests and verification. > > > Massimo > > > On Nov 30, 1:15 am, mdipierro <[EMAIL PROTECTED]> wrote: > > > > Done! GAE caching of bytecode compiled code is in trunk and works. > > > > It makes my test code 3-4 times faster (from 960ms to 270ms). > > > > Open question: does GAE clear memcache when I re-upload web2py? It > > > seems so. > > > > Please test it. This is still to be considered experimental and there > > > is still room for further improvements. > > > > Massimo > > > > On Nov 30, 12:37 am, mdipierro <[EMAIL PROTECTED]> wrote: > > > > > hold on! While it is a good idea to write cache ram on top of gae > > > > memcache. I thought of a better way to solve the above problem. > > > > > Massimo > > > > > On Nov 29, 11:45 pm, mdipierro <[EMAIL PROTECTED]> wrote: > > > > > > Hi Robin, > > > > > > following your suggestion look into the latest gluon/restricted.py in > > > > > trunk. On the top you will find > > > > > > ### FIX THIS > > > > > CACHE_TIME=0 > > > > > import cache > > > > > cache_pyc=cache.CacheInRam() > > > > > ### > > > > > > if CACHE_TIME is set to a large number say 3600 (one hour) all byte > > > > > code compiled code is cached in RAM using cache.CacheInRam > > > > > > If you (or somebody else) could rewrite CacheInRam on top of > > > > > google.memcache (look into cache.py and contrib/memcache/__init__.py > > > > > for examples) that we should achieve a sensible speedup on GAE. > > > > > > Else, if I have time, I will do it next week. > > > > > > There is room for further improvements but this is a quick solution to > > > > > the problem that should solve it. > > > > > > Massimo --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "web2py Web Framework" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/web2py?hl=en -~----------~----~----~----~------~----~------~--~---
