I have tested it and I can now confirm that the issue is with pg8000. I
think its a good idea to mention this in the WIKI.
On Friday, July 29, 2016 at 12:12:07 AM UTC+5:30, Niphlod wrote:
>
> could you please try with psycopg2 ?
>
> On Thursday, July 28, 2016 at 6:53:10 PM UTC+2, Abhishek Ram
The pg8000 driver has problems. Sorry. We should remove it from web2py.
On Thursday, 28 July 2016 11:53:10 UTC-5, Abhishek Ram wrote:
>
> I am using the default driver pg8000
>
> On Thursday, July 28, 2016 at 7:47:41 PM UTC+5:30, Niphlod wrote:
>>
>> what driver are you using ? it's rather
could you please try with psycopg2 ?
On Thursday, July 28, 2016 at 6:53:10 PM UTC+2, Abhishek Ram wrote:
>
> I am using the default driver pg8000
>
> On Thursday, July 28, 2016 at 7:47:41 PM UTC+5:30, Niphlod wrote:
>>
>> what driver are you using ? it's rather strange that postrgresql acts up
I am using the default driver pg8000
On Thursday, July 28, 2016 at 7:47:41 PM UTC+5:30, Niphlod wrote:
>
> what driver are you using ? it's rather strange that postrgresql acts up
> and eat all the available memory, if you didn't tinker with the defaults
> settings of postgresql...
>
> On
what driver are you using ? it's rather strange that postrgresql acts up
and eat all the available memory, if you didn't tinker with the defaults
settings of postgresql...
On Wednesday, July 27, 2016 at 5:09:34 AM UTC+2, Abhishek Ram wrote:
>
> Well the memory leak was from the postgres
Well the memory leak was from the postgres processes spawned by the web2py
scheduler process. I am sure about this as I have seen TOP and confirmed
that it was these processes that were consuming the memory. I even tried
with a basic app and the postgres processes continued to consume memory.
you're seeing a totally normal thing: postgresql spawns a different process
for each connection.
Those processes in linux are fork()s, so even if you SEEM to notice a
skyrocket in memory utilization summing all different processes (e.g. in
"top"), in reality it's not sucking up every bit of
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