html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/6036#issuecomment-984014394,https://api.github.com/repos/pydata/xarray/issues/6036,984014394,IC_kwDOAMm_X846pt46,23300143,2021-12-01T20:08:46Z,2021-12-01T20:12:25Z,NONE,"@dcherian thanks for your reply. I know Xarray can't do anything about the Dask computations of the chunks. My question was if it was possible to save the Dask chunk informations on the Zarr metadata such that it is not neccessary to calculate them ie. run the the `getem()` function from Dask that takes too long to run and increases memory.

Following example runs out of memory on my computer. I have 16 GB RAM.

```python

import dask
import xarray as xr

chunks = (1, 1, 1)
ds = xr.Dataset(data_vars={
    ""foo"": (('x', 'y', 'z'), dask.array.empty((1000, 1000, 1000), chunks=(1000, 1000, 1000)))})
ds.to_zarr(store='data', group='ds.zarr', compute=False, encoding={'foo': {'chunks': chunks}})
ds_loaded = xr.open_zarr(group='ds.zarr', store='data')

```
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