home / github

Menu
  • GraphQL API
  • Search all tables

issue_comments

Table actions
  • GraphQL API for issue_comments

1 row where author_association = "CONTRIBUTOR", issue = 628719058 and user = 167802 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

  • mraspaud · 1 ✖

issue 1

  • Feature Request: Hierarchical storage and processing in xarray · 1 ✖

author_association 1

  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1040778284 https://github.com/pydata/xarray/issues/4118#issuecomment-1040778284 https://api.github.com/repos/pydata/xarray/issues/4118 IC_kwDOAMm_X84-CQQs mraspaud 167802 2022-02-15T20:48:51Z 2022-07-18T13:05:09Z CONTRIBUTOR

Thanks for launching this discussion @TomNicholas ! I'm a core dev of pytroll/satpy which handles earth observing satellite data. I got interested in DataTree because we have data from the same instruments available at mulitple resolution, hence not fitting into a single Dataset. For use Option 1 is probably feeling better. Even when having data at multiple resolutions, it is still a limited number of resolutions and hence splitting them in groups is the natural way of going I would say. We do not use the features you mention in Zarr or GRIB, as a majority of the satellite data we use is provided in netcdf nowadays. Don't hesitate to ask if you want to know more or if something is unclear, we are really interested in these developments, so if we can help that way...

{
    "total_count": 2,
    "+1": 2,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  Feature Request: Hierarchical storage and processing in xarray 628719058

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]);
Powered by Datasette · Queries took 17.297ms · About: xarray-datasette