issues

Table actions

3 rows where "created_at" is on date 2023-03-27, state = "closed" and user = 2448579 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date), closed_at (date)

type 2

state 1

  • closed · 3 ✖

repo 1

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
  • [x] Closes #7683
  • [x] Tests added
  • [ ] User visible changes (including notable bug fixes) are documented in whats-new.rst
 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/7684/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
     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 arrays

mean = ds.groupby("time.day").mean() mean.to_netcdf() mean = xr.open_dataset(...)

ds.groupby("time.day") - mean ```

In GroupBy._binary_op https://github.com/pydata/xarray/blob/39caafae4452f5327a7cd671b18d4bb3eb3785ba/xarray/core/groupby.py#L616

we will eagerly construct other that is of the same size as ds.

What did you expect to happen?

I think the only solution is to automatically chunk if ds has dask arrays, and other (or mean) isn't backed by dask arrays. A chunk size of 1 seems sensible.

Minimal Complete Verifiable Example

No response

MVCE confirmation

  • [ ] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
  • [ ] Complete example — the example is self-contained, including all data and the text of any traceback.
  • [ ] Verifiable example — the example copy & pastes into an IPython prompt or Binder notebook, returning the result.
  • [ ] New issue — a search of GitHub Issues suggests this is not a duplicate.

Relevant log output

No response

Anything else we need to know?

No response

Environment

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/7683/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   completed xarray 13221727 issue
1642317716 I_kwDOAMm_X85h48eU 7685 Add welcome bot? dcherian 2448579 closed 0     6 2023-03-27T15:24:25Z 2023-04-06T01:55:55Z 2023-04-06T01:55:55Z MEMBER      

Is your feature request related to a problem?

Given all the outreachy interest (and perhaps just in general) it may be nice to enable a welcome bot like on the Jupyter repos

Describe the solution you'd like

No response

Describe alternatives you've considered

No response

Additional context

No response

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/7685/reactions",
    "total_count": 3,
    "+1": 3,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   completed xarray 13221727 issue

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issues] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [state] TEXT,
   [locked] INTEGER,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [comments] INTEGER,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [author_association] TEXT,
   [active_lock_reason] TEXT,
   [draft] INTEGER,
   [pull_request] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [state_reason] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [type] TEXT
);
CREATE INDEX [idx_issues_repo]
    ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
    ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
    ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
    ON [issues] ([user]);