issue_comments: 424485235

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https://github.com/pydata/xarray/issues/2227#issuecomment-424485235 https://api.github.com/repos/pydata/xarray/issues/2227 424485235 MDEyOklzc3VlQ29tbWVudDQyNDQ4NTIzNQ== 291576 2018-09-25T20:14:02Z 2018-09-25T20:14:02Z CONTRIBUTOR

Yeah, it looks like if da is backed by a dask array, and you do a .isel(win=window.compute()) because otherwise isel barfs on dask indexers, it seems, then the memory usage shoots through the roof. Note that in my case, the dask chunks are (1, 3000, 7000). If I do a window.load() prior to window.isel(), then the memory usage is perfectly reasonable.

 
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