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/3213#issuecomment-550966385,https://api.github.com/repos/pydata/xarray/issues/3213,550966385,MDEyOklzc3VlQ29tbWVudDU1MDk2NjM4NQ==,5311739,2019-11-07T07:57:17Z,2019-11-07T07:57:17Z,NONE,"Thanks for rolling out support for sparse arrays!

I think it would be great to have a `sparse` argument in the `concat` function. This will be useful with `join='outer'`, as the resultant DataArray/Dataset can become quite sparse.

As an example, I have a use case where I want to concatenate (across a new dimension) a number of DataArrays with date indexes covering different date ranges. When I use `concat` the memory used by the resultant array is much greater than that used by the original list of DataArrays due to the large number of NA values that appear in it.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,479942077