Memory Leak

After running a couple of hours of schedule scirpt, memory use from 20 MB up to 200 MB and keep increasing in my macbook pro (latest os update).

version info:
Python 3.6.4
schedule (0.5.0)

I am not sure if it is about memory leak or log kepted inside default schedule. Any ideas so that I can look into this issue?

One of my concerns about parameters of worker function. I prefer to use reference as parameter for large dataset for reuse and conn/client object like db connections. Is it the case ? I doubt it because I am using serialized job running, and didn't implement parallel/treading exec for schedule job (use default mode only)

@dbader any thoughts?

Reproduce the reported growth using Python 3.6.4 and schedule 0.5.0, starting with the serialized default scheduler and the long-running job pattern described. Inspect whether jobs, logs, parameters, or connections remain retained over time. Done means identifying a reproducible cause and documenting the affected behavior with a regression test or clear reproduction result.

Written by the indexing model from the issue text.