html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/3200#issuecomment-520136799,https://api.github.com/repos/pydata/xarray/issues/3200,520136799,MDEyOklzc3VlQ29tbWVudDUyMDEzNjc5OQ==,6213168,2019-08-10T10:10:11Z,2019-08-10T10:11:18Z,MEMBER,"Oh but first and foremost - CPython memory management is designed so that, when PyMem_Free() is invoked, CPython will hold on to it and not invoke the underlying free() syscall, hoping to reuse it on the next PyMem_Alloc(). 
An increase in RAM usage from 160 to 200MB could very well be explained by this.
Try increasing the number of loops in your test 100-fold and see if you get a 100-fold increase in memory usage too (from 160MB to 1.2GB). If yes, it's a real leak; if it remains much more contained, it's normal CPython behaviour.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,479190812
https://github.com/pydata/xarray/issues/3200#issuecomment-520136482,https://api.github.com/repos/pydata/xarray/issues/3200,520136482,MDEyOklzc3VlQ29tbWVudDUyMDEzNjQ4Mg==,6213168,2019-08-10T10:06:07Z,2019-08-10T10:06:07Z,MEMBER,"Hi,

xarray doesn't have any global objects that I know of that can cause the leak - I'm willing to bet on the underlying libraries. 

1. given your installed packages, open_mfdataset _should_ be defaulting NetCDF4. Please try your measure again after setting it explicitly ``open_mfdataset(..., engine='netcdf4')``
2. See if the problem disappears if you pass ``engine='h5netcdf'``
3. Once you have confirmed the actual underlying library, try using it directly without xarray in your ReadFiles test: for every file returned by glob, open it with the netCDF4 package and load into memory all coords (not the data).
4. Once NetCDF4 is confirmed to be the culprit, if you can it would be great if you could rewrite the test (only the read part) in C using the NetCDF C library to figure out if the leak is in it or in the Python wrapper.
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,479190812