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/6807#issuecomment-1286028393,https://api.github.com/repos/pydata/xarray/issues/6807,1286028393,IC_kwDOAMm_X85Mpzxp,35968931,2022-10-20T19:22:11Z,2022-10-20T19:22:11Z,MEMBER,"@rabernat just pointed out to me that in order for this to work well we might also need [lazy concatenation of arrays.](https://github.com/pydata/xarray/issues/4628)

Xarray currently has it's own internal wrappers that allow lazy indexing, but they don't yet allow lazy concatenation. Instead dask is what does lazy concatenation under the hood right now. 

This is a problem - it means that concatenating two cubed-backed DataArrays will trigger loading both into memory, whereas concatenating two dask-backed DataArrays will not. If #4628 was implemented then xarray would never load the underlying array into memory regardless of the backend.","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,1308715638