issue_comments

Table actions

2 rows where issue = 1308715638 and user = 85085 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

user 1

  • tomwhite · 2 ✖

issue 1

  • Alternative parallel execution frameworks in xarray · 2 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1286703986 https://github.com/pydata/xarray/issues/6807#issuecomment-1286703986 https://api.github.com/repos/pydata/xarray/issues/6807 IC_kwDOAMm_X85MsYty tomwhite 85085 2022-10-21T09:31:29Z 2022-10-21T09:31:29Z CONTRIBUTOR

Cubed implements concat, but perhaps xarray needs richer concat functionality than that?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Alternative parallel execution frameworks in xarray 1308715638
1188910765 https://github.com/pydata/xarray/issues/6807#issuecomment-1188910765 https://api.github.com/repos/pydata/xarray/issues/6807 IC_kwDOAMm_X85G3Vat tomwhite 85085 2022-07-19T10:58:18Z 2022-07-19T10:58:18Z CONTRIBUTOR

Thanks for opening this @TomNicholas

The challenge will be defining a parallel computing API that works across all these projects, with their slightly different models.

Agreed. I feel like there's already an implicit set of "chunked array" methods that xarray expects from Dask that could be formalised a bit and exposed as an integration point.

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Alternative parallel execution frameworks in xarray 1308715638

Advanced export

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

CSV options: 

CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
    ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
    ON [issue_comments] ([user]);