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/4628#issuecomment-1122649316,https://api.github.com/repos/pydata/xarray/issues/4628,1122649316,IC_kwDOAMm_X85C6kTk,1197350,2022-05-10T17:00:47Z,2022-05-10T17:02:34Z,MEMBER,"> Any pointers regarding where to start / modules involved to implement this? I would like to have a try.

The starting point would be to look at the code in [indexing.py](https://github.com/pydata/xarray/blob/main/xarray/core/indexing.py) and try to understand how lazy indexing works.

In particular, look at 

https://github.com/pydata/xarray/blob/3920c48d61d1f213a849bae51faa473b9c471946/xarray/core/indexing.py#L465-L470

Then you may want to try writing a class that looks like

```python
 class LazilyConcatenatedArray:  # have to decide what to inherit from 
  
    def __init__(self, *arrays: LazilyIndexedArray, concat_axis=0):
        # figure out what you need to keep track of

    @property
    def shape(self):
        # figure out how to determine the total shape

    def __getitem__(self, indexer) -> LazilyIndexedArray:
        # figure out how to map an indexer to the right piece of data
```
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