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/7680#issuecomment-1487444030,https://api.github.com/repos/pydata/xarray/issues/7680,1487444030,IC_kwDOAMm_X85YqJg-,8106823,2023-03-28T18:53:29Z,2023-03-28T18:53:29Z,NONE,"Thanks @kmuehlbauer  for explaining this.

@jhamman yes, i was hoping that I can pass `ds.to_netcdf(..., track_order=False)` when engine is hd5netcdf.

It would be nice to enhance `backend_kwargs`","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1641109066
https://github.com/pydata/xarray/issues/7680#issuecomment-1484583468,https://api.github.com/repos/pydata/xarray/issues/7680,1484583468,IC_kwDOAMm_X85YfPIs,5821660,2023-03-27T06:36:46Z,2023-03-27T06:50:55Z,MEMBER,"First, I totally agree with @jhamman having `backend_kwargs` on `to_netcdf`. 

For the particular use case, netcdf-c/netCDF4-python create HDF5 files (`NECTDF4`-format) with track order enabled as required, see https://docs.unidata.ucar.edu/netcdf-c/current/file_format_specifications.html#creation_order. 

`h5netcdf` uses `track_order=True` as default since version 1.1.0. There have been (and still are, https://github.com/HDFGroup/hdf5/issues/1388) some corner case issues upstream which `netcdf-c` can somehow circumvent, but `h5netcdf` can't. Nevertheless, to be compliant with `netcdf-c` `track_order=True` is default for `h5netcdf`.

@abunimeh As a workaround until this is sorted out you could create the file (or subgroup) using `h5py`/`h5netcdf` with `track_order=False`. If a file (root-group) or sub-group in a file is created with `track_order=False` this will be persistent as it is set at group-define time. Then you can use `to_netcdf` as usual with `mode=""a""` to append.

```python

import xarray as xr
import h5netcdf
from time import sleep

ds = xr.Dataset(data_vars=dict(hello=([""x""], [1., 1., 1., 1., 1.])))

track_order = False
group = ""/track""

with h5netcdf.File(""sample1.nc"", ""a"", track_order=track_order) as f1:
    if group.split(""/"")[-1]:
        f1.create_group(group)

ds.to_netcdf(""sample1.nc"", mode=""a"", engine=""h5netcdf"", group=group)                
sleep(5)

with h5netcdf.File(""sample2.nc"", ""a"", track_order=track_order) as f2:
    if group.split(""/"")[-1]:
        f2.create_group(group)
                
ds.to_netcdf(""sample2.nc"", mode=""a"", engine=""h5netcdf"", group=group)   
```

Update: Use `mode=""a""` everywhere.
Update2: Cave: You will not be able to append to this file with netcdf-c/netCDF4-python ever again.

","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1641109066
https://github.com/pydata/xarray/issues/7680#issuecomment-1484386454,https://api.github.com/repos/pydata/xarray/issues/7680,1484386454,IC_kwDOAMm_X85YefCW,2443309,2023-03-27T02:23:15Z,2023-03-27T02:23:15Z,MEMBER,"@abunimeh - Thanks for opening this issue. Can you expand on the feature a bit more? What API would you like to see? `ds.to_netcdf(..., track_order=False)`?

I suspect this will need to be treated like `invalid_netcdf` as it will only apply to the `h5netcdf` backend: 

https://github.com/pydata/xarray/blob/86f3f21ab3d0dff6fdb4a0bccd27c62f9e4a3238/xarray/core/dataset.py#L1892-L1895

_Note: it would be nice if we had `backend_kwargs` on `to_netcdf` since the variety of options scipy/netcdf4/h5netcdf support are increasingly different.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1641109066