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  • slevang · 1 ✖

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  • Poor memory management with dask=2021.4.0 · 1 ✖

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  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
820706339 https://github.com/pydata/xarray/issues/5165#issuecomment-820706339 https://api.github.com/repos/pydata/xarray/issues/5165 MDEyOklzc3VlQ29tbWVudDgyMDcwNjMzOQ== slevang 39069044 2021-04-15T20:20:26Z 2021-04-15T20:20:26Z CONTRIBUTOR

In fact an even simpler calculation also shows the same problem: ```python import xarray as xr import pandas as pd import numpy as np import dask.array as da

dates = pd.date_range('1980-01-01', '2019-12-31', freq='D') ds = xr.Dataset( data_vars = { 'x1':( ('time', 'lat', 'lon'), da.random.random(size=(dates.size, 360, 720), chunks=(1, -1, -1))), 'x2':( ('time', 'lat', 'lon'), da.random.random(size=(dates.size, 360, 720), chunks=(1, -1, -1))), }, coords = { 'time': dates, 'lat': np.arange(-90, 90, .5), 'lon': np.arange(-180, 180, .5), } )

ds['x3'] = ds.x2 - ds.x1 ds[['x3']].to_zarr('test-anom', mode='w') ```

 
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   Poor memory management with dask=2021.4.0 859218255

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