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/5426#issuecomment-852667695,https://api.github.com/repos/pydata/xarray/issues/5426,852667695,MDEyOklzc3VlQ29tbWVudDg1MjY2NzY5NQ==,1312546,2021-06-02T02:37:18Z,2021-06-02T02:37:18Z,MEMBER,"> Do you run into poor load balancing as well when using Zarr with Xarray? 

The only thing that comes to mind is everything being assigned to one worker when the entire task graph has a single node at the base of the task graph. But then work stealing kicks in and things level out (that was a while ago though).

I haven't noticed any kind of systemic load balancing problem, but I can take a look at that notebook later. ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,908971901
https://github.com/pydata/xarray/issues/5426#issuecomment-852666211,https://api.github.com/repos/pydata/xarray/issues/5426,852666211,MDEyOklzc3VlQ29tbWVudDg1MjY2NjIxMQ==,1312546,2021-06-02T02:33:28Z,2021-06-02T02:33:28Z,MEMBER,https://github.com/dask/dask/pull/6203 and https://github.com/dask/dask/pull/6773/ are the maybe relevant issues. I actually don't know if that could have an effect here. I don't know (and a brief search couldn't confirm) whether or not xarray uses `dask.array.from_zarr`. ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,908971901