appointment app where having memory leaks https://github.com/mdipierro/web2py-appliances/tree/master/AppointmentManager
https://groups.google.com/d/msg/web2py/u-eU-2vhims/1u3fOnqPoUMJ https://groups.google.com/d/msg/web2py/QbR7pY3xHuM/rOyuHhVmbjYJ Richard On Mon, Feb 2, 2015 at 2:26 PM, Massimo Di Pierro < massimo.dipie...@gmail.com> wrote: > What application is this? Are you using cache.ram or a cache decorator? > That would cause this. > > > On Sunday, 1 February 2015 03:18:05 UTC-6, Louis Amon wrote: >> >> I have a web2py server running on heroku. >> >> So far my server had little traffic, and Heroku being a cloud PaaS >> service means they put processes to sleep if they're not used for a while. >> >> Because of that, I never really noticed that the memory signature of my >> application was growing at every request until my server got put to sleep >> due to inactivity (at night most often), and thus the memory was reset upon >> restart. >> >> This is no longer the case, and now my server often becomes unavailable >> due to memory quotas, which is a big issue on production. >> >> >> I've been using several tools to track the memory usage of web2py, one of >> which is the logs of Heroku itself, eg: >> >> 2015-02-01T09:01:46.965380+00:00 heroku[web.1]: source=web.1 dyno=heroku. >> 28228261.c4fede81-d205-4dad-b07e-2ad6dcc49a0f sample#*memory_total=186.27MB >> sample#memory_rss=180.75MB sample#memory_cache=5.52MB* >> sample#memory_swap=0.00MB sample#memory_pgpgin=71767pages >> sample#memory_pgpgout=24081pages >> >> As far as I can tell, the "memory_cache" signature is rather small and is >> stable around 5MB (I don't use cache a lot on my website, precisely for >> fear of memory leaks). >> >> Based on the documentation >> <https://devcenter.heroku.com/articles/log-runtime-metrics>, >> "memory_rss" on Heroku refers to: >> >>> >>> - *Resident Memory* (memory_rss): The portion of the dyno’s memory >>> (megabytes) held in RAM. >>> >>> This variable keeps growing at every request, seemingly regardless of >> which page is accessed. >> >> You will find attached the memory chart of my app, taken from Heroku's >> Metrics back-office : every vertical line is a hard reset I had to do >> manually to prevent the app from exceeding quotas. The red zone is a server >> downtime because of swap usage making requests to be served very very >> slowly. >> >> >> I've tried using the "memory_profiler" library to decorate some functions >> in my code and try to track memory usage increase, but it is a very tedious >> task and so far I haven't managed to find the root of my problem. >> >> >> I suspect my issue to be in models since those are loaded on every >> request, but I can't use memory_profiler on them since models aren't >> natively encapsulated in any function. >> >> >> Is there a function somewhere in Gluon that loads every model, and which >> I could decorate to scope which model might have memory leaks ? >> > -- > 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) > --- > You received this message because you are subscribed to the Google Groups > "web2py-users" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to web2py+unsubscr...@googlegroups.com. > For more options, visit https://groups.google.com/d/optout. > -- 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) --- You received this message because you are subscribed to the Google Groups "web2py-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to web2py+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.
