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/2254#issuecomment-400859677,https://api.github.com/repos/pydata/xarray/issues/2254,400859677,MDEyOklzc3VlQ29tbWVudDQwMDg1OTY3Nw==,1217238,2018-06-27T23:18:18Z,2018-06-27T23:18:18Z,MEMBER,"Yes, a pull request would be appreciated!
On Wed, Jun 27, 2018 at 1:53 PM Mike Neish <notifications@github.com> wrote:

> So yes, it looks like we could fix this by checking chunks on each array
> independently like you suggest. There's no reason why all dask arrays need
> to have the same chunking for storing with to_netcdf().
>
> I could throw together a pull request if that's all that's involved.
>
> This is because you need to indicate chunks for variables separately, via
> encoding: http://xarray.pydata.org/en/stable/io.html#writing-encoded-data
>
> Thanks! I was able to write chunked output the netCDF file by adding
> chunksizes to the encoding attribute of the variables. I found I also had
> to specify original_shape as a workaround for #2198
> <https://github.com/pydata/xarray/issues/2198>.
>
> —
> You are receiving this because you commented.
> Reply to this email directly, view it on GitHub
> <https://github.com/pydata/xarray/issues/2254#issuecomment-400825442>, or mute
> the thread
> <https://github.com/notifications/unsubscribe-auth/ABKS1nMYi7kPsJImZLwiHGKqpVHH_UlAks5uA_DIgaJpZM4U551i>
> .
>
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,336273865
https://github.com/pydata/xarray/issues/2254#issuecomment-400813372,https://api.github.com/repos/pydata/xarray/issues/2254,400813372,MDEyOklzc3VlQ29tbWVudDQwMDgxMzM3Mg==,1217238,2018-06-27T20:11:35Z,2018-06-27T20:11:35Z,MEMBER,"For reference, here's the full traceback:
```python
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-13-6a835b914234> in <module>()
     12
     13 # Save to a netCDF4 file.
---> 14 dset.to_netcdf(""test.nc"")

~/dev/xarray/xarray/core/dataset.py in to_netcdf(self, path, mode, format, group, engine, encoding, unlimited_dims, compute)
   1148                          engine=engine, encoding=encoding,
   1149                          unlimited_dims=unlimited_dims,
-> 1150                          compute=compute)
   1151
   1152     def to_zarr(self, store=None, mode='w-', synchronizer=None, group=None,

~/dev/xarray/xarray/backends/api.py in to_netcdf(dataset, path_or_file, mode, format, group, engine, writer, encoding, unlimited_dims, compute)
    701     # handle scheduler specific logic
    702     scheduler = get_scheduler()
--> 703     if (dataset.chunks and scheduler in ['distributed', 'multiprocessing'] and
    704             engine != 'netcdf4'):
    705         raise NotImplementedError(""Writing netCDF files with the %s backend ""

~/dev/xarray/xarray/core/dataset.py in chunks(self)
   1237                 for dim, c in zip(v.dims, v.chunks):
   1238                     if dim in chunks and c != chunks[dim]:
-> 1239                         raise ValueError('inconsistent chunks')
   1240                     chunks[dim] = c
   1241         return Frozen(SortedKeysDict(chunks))

ValueError: inconsistent chunks
```

So yes, it looks like we could fix this by checking chunks on each array independently like you suggest. There's no reason why all dask arrays need to have the same chunking for storing with `to_netcdf()`.

> and replace the instances of dataset.chunks with have_chunks, then the netCDF4 file gets written without any problems (although the data seems to be stored contiguously instead of chunked).

This is because you need to indicate chunks for variables separately, via `encoding`: http://xarray.pydata.org/en/stable/io.html#writing-encoded-data","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,336273865