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2 rows where "closed_at" is on date 2023-07-27, repo = 13221727 and user = 2448579 sorted by updated_at descending
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type | 
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1642301775 | PR_kwDOAMm_X85M-3H- | 7684 | Automatically chunk `other` in GroupBy binary ops. | dcherian 2448579 | closed | 0 | 2 | 2023-03-27T15:15:22Z | 2023-07-28T03:12:20Z | 2023-07-27T16:41:33Z | MEMBER | 0 | pydata/xarray/pulls/7684 | 
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                    xarray 13221727 | pull | |||||
| 1642299599 | I_kwDOAMm_X85h44DP | 7683 | automatically chunk in groupby binary ops | dcherian 2448579 | closed | 0 | 0 | 2023-03-27T15:14:09Z | 2023-07-27T16:41:35Z | 2023-07-27T16:41:34Z | MEMBER | What happened?From https://discourse.pangeo.io/t/xarray-unable-to-allocate-memory-how-to-size-up-problem/3233/4 Consider ``` python ds is dataset with big dask arraysmean = ds.groupby("time.day").mean() mean.to_netcdf() mean = xr.open_dataset(...) ds.groupby("time.day") - mean ``` In  we will eagerly construct  What did you expect to happen?I think the only solution is to automatically chunk if   Minimal Complete Verifiable ExampleNo response MVCE confirmation
 Relevant log outputNo response Anything else we need to know?No response Environment | 
                
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                    completed | xarray 13221727 | issue | 
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