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https://github.com/pydata/xarray/issues/3948#issuecomment-610403146 https://api.github.com/repos/pydata/xarray/issues/3948 610403146 MDEyOklzc3VlQ29tbWVudDYxMDQwMzE0Ng== 3958036 2020-04-07T13:58:44Z 2020-04-07T13:58:44Z CONTRIBUTOR

OK, I think I've answered my own question. Looks like dask can handle this workflow already, something like: ```

do_some_work does not call .load() or .compute() anywhere

result1a, result1b, result1c = dask.compute(do_some_work(ds["variable1"])

result2a, result2b, result2c = dask.compute(do_some_work(ds["variable2"])

... etc. ```

I do still wonder if there might be any case where .release() might be useful...

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