I work for a digital marketing agency having multiple clients. And in one of the projects, I have a very resource intensive python script (which fetches data for Facebook ads), to be run on all those clients (say 500+ in number) in ubuntu 16.04 server.
Originally script took around 2 mins to complete, with 300 MB RES & 1000 MB VM (as per htop), for 1 client. Hence optimized it with ThreadPoolExecutor (max_workers=10) so that script can run on 4 clients concurrently (almost).
Then found out that sometimes, script froze during run (or basically its in "comatose state"). Debugged & profiled and found that its not the script that's causing issue, but its the system.
Then batched the script, means if there are 20 input clients, ran 5 instances (4*5=20) of script. Here sometimes it went fine but sometimes last instance froze.
Then found out that RAM (2G) was being overused, hence increased swapping memory from 0 to 1G. That did the trick. But if few clients are heavy in memory, same thing happens.
Have attached the screenshot of the latest run where after running the 8 instances, last 2 froze. They can be left for days for that matter.
I am thinking of increasing the server RAM from 2G to 4G but not sure if that's the permanent solution. Did anyone has faced similar issue?
from How to prevent python script from freezing in ubuntu 16.04


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