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/5165#issuecomment-824014274,https://api.github.com/repos/pydata/xarray/issues/5165,824014274,MDEyOklzc3VlQ29tbWVudDgyNDAxNDI3NA==,2448579,2021-04-21T12:16:31Z,2021-04-21T12:16:31Z,MEMBER,Thanks @slevang and @crusaderky!,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,859218255
https://github.com/pydata/xarray/issues/5165#issuecomment-823950210,https://api.github.com/repos/pydata/xarray/issues/5165,823950210,MDEyOklzc3VlQ29tbWVudDgyMzk1MDIxMA==,6213168,2021-04-21T10:17:37Z,2021-04-21T10:17:37Z,MEMBER,"Reproduced and reopened at https://github.com/dask/dask/issues/7583.
This impacts the threading and sync scheduler. processes and distributed are unaffacted.
Closing here, as this issue has nothing to do with xarray.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,859218255
https://github.com/pydata/xarray/issues/5165#issuecomment-820731193,https://api.github.com/repos/pydata/xarray/issues/5165,820731193,MDEyOklzc3VlQ29tbWVudDgyMDczMTE5Mw==,2448579,2021-04-15T21:08:03Z,2021-04-15T21:08:03Z,MEMBER,cc @crusaderky ,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,859218255
https://github.com/pydata/xarray/issues/5165#issuecomment-820706339,https://api.github.com/repos/pydata/xarray/issues/5165,820706339,MDEyOklzc3VlQ29tbWVudDgyMDcwNjMzOQ==,39069044,2021-04-15T20:20:26Z,2021-04-15T20:20:26Z,CONTRIBUTOR,"In fact an even simpler calculation also shows the same problem:
```python
import xarray as xr
import pandas as pd
import numpy as np
import dask.array as da

dates = pd.date_range('1980-01-01', '2019-12-31', freq='D')
ds = xr.Dataset(
    data_vars = {
        'x1':(
            ('time', 'lat', 'lon'), 
            da.random.random(size=(dates.size, 360, 720), chunks=(1, -1, -1))),
        'x2':(
            ('time', 'lat', 'lon'), 
            da.random.random(size=(dates.size, 360, 720), chunks=(1, -1, -1))),
    },
    coords = {
        'time': dates,
        'lat': np.arange(-90, 90, .5),
        'lon': np.arange(-180, 180, .5),
    }
)

ds['x3'] = ds.x2 - ds.x1
ds[['x3']].to_zarr('test-anom', mode='w')
```","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,859218255