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/2186#issuecomment-1061602285,https://api.github.com/repos/pydata/xarray/issues/2186,1061602285,IC_kwDOAMm_X84_RsPt,17830036,2022-03-08T10:00:07Z,2022-03-08T10:00:07Z,NONE,"Hello,

I am facing the same memory leak issue. I am using `mpirun` and `dask-mpi` on a slurm batch submission (see below). I am running through a time loop to perform some computations. After few iterations, the code blows up because `out of memory` issue. This does not happen if I execute the same code as a serial job. 
```
from dask_mpi import initialize
initialize()

from dask.distributed import Client
client = Client()

#main code goes here
ds = xr.open_mfdataset(""*nc"")

for i in range(0, len(ds.time)):
        ds1 = ds.isel(time=i)
        # perform some computations here
        
        ds1.close()
ds.close()
````

I have tried the following
- explicit ds.close() calls on datasets
- gc.collect()
- client.cancel(vars) 

None of the solutions worked for me.  I have also tried increasing RAM but that didn't help either. I was wondering if anyone has found a work around this problem.
@lumbric @shoyer @lkilcher 

I am using `dask 2022.2.0` `dask-mpi 2021.11.0` `xarray 0.21.1`","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,326533369