issue_comments: 1219672919

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https://github.com/pydata/xarray/issues/6924#issuecomment-1219672919 https://api.github.com/repos/pydata/xarray/issues/6924 1219672919 IC_kwDOAMm_X85IsrtX 64621312 2022-08-18T16:05:02Z 2022-08-18T16:05:02Z NONE

I cross posted this as a dask issue and on stack overflow. I learned that "dask will often have as many chunks in memory as twice the number of active threads" (best practices with dask arrays) and including dask.config.set(scheduler='synchronous') which forces single thread computation (dask scheduling) resulted in the behavior I expected which is memory usage fluctuations that are roughly the magnitude of the chunk size. 

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