issue_comments: 404503025

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https://github.com/pydata/xarray/issues/2278#issuecomment-404503025 https://api.github.com/repos/pydata/xarray/issues/2278 404503025 MDEyOklzc3VlQ29tbWVudDQwNDUwMzAyNQ== 11750960 2018-07-12T12:57:17Z 2018-07-12T12:57:35Z CONTRIBUTOR

With the same case, I have another error message which may reflect the same issue (or not), maybe you can tell me. The error message is different which is the reason I am posting this.

Starting from the same dataset: nx, ny, nt = 32, 32, 64 ds = xr.Dataset({}, coords={'x':np.arange(nx),'y':np.arange(ny), 't': np.arange(nt)}) ds = ds.assign(v=ds.t*np.cos(np.pi/180./100*ds.x)*np.cos(np.pi/180./50*ds.y)) ds = ds.chunk({'t': 1, 'x': nx/2, 'y': ny/2}) ds.to_zarr('data.zarr', mode='w')

Case 1 works fine: ds = ds.chunk({'t': nt, 'x': nx/4, 'y': ny/4}) ds.to_zarr('data_rechunked.zarr', mode='w')

Case 2 breaks: ds = xr.open_zarr('data.zarr') ds = ds.chunk({'t': nt, 'x': nx/4, 'y': ny/4}) ds.to_zarr('data_rechunked.zarr', mode='w') with the following error message: .... NotImplementedError: Specified zarr chunks (1, 16, 16) would overlap multiple dask chunks ((64,), (8, 8, 8, 8), (8, 8, 8, 8)). This is not implemented in xarray yet. Consider rechunking the data using `chunk()` or specifying different chunks in encoding.

 
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