issue_comments: 406732486

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https://github.com/pydata/xarray/issues/2300#issuecomment-406732486 https://api.github.com/repos/pydata/xarray/issues/2300 406732486 MDEyOklzc3VlQ29tbWVudDQwNjczMjQ4Ng== 1530840 2018-07-20T21:33:08Z 2018-07-20T21:33:08Z NONE

I took a closer look and noticed my one-dimensional fields of size 505359 were reporting a chunksize or 63170. Turns out that's enough to come up with a minimal repro: ```python

xr.version '0.10.8' ds=xr.Dataset({'foo': (['bar'], np.zeros((505359,)))}) ds.to_zarr('test.zarr') <xarray.backends.zarr.ZarrStore object at 0x7fd9680f7fd0> ds2=xr.open_zarr('test.zarr') ds2 <xarray.Dataset> Dimensions: (bar: 505359) Dimensions without coordinates: bar Data variables: foo (bar) float64 dask.array<shape=(505359,), chunksize=(63170,)> ds2.foo.encoding {'chunks': (63170,), 'compressor': Blosc(cname='lz4', clevel=5, shuffle=SHUFFLE, blocksize=0), 'filters': None, '_FillValue': nan, 'dtype': dtype('float64')} ds2.to_zarr('test2.zarr') raises NotImplementedError: Specified zarr chunks (63170,) would overlap multiple dask chunks ((63170, 63170, 63 170, 63170, 63170, 63170, 63170, 63169),). This is not implemented in xarray yet. Consider rechunking th e data using chunk() or specifying different chunks in encoding. ```

 
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