issue_comments

Table actions

1 row where author_association = "NONE", issue = 595813283 and user = 32069530 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

  • lanougue · 1 ✖

issue 1

  • removing uneccessary dimension · 1 ✖

author_association 1

  • NONE · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
611208139 https://github.com/pydata/xarray/issues/3946#issuecomment-611208139 https://api.github.com/repos/pydata/xarray/issues/3946 MDEyOklzc3VlQ29tbWVudDYxMTIwODEzOQ== lanougue 32069530 2020-04-08T21:37:45Z 2020-04-08T21:37:45Z NONE

@TomNicholas , Thanks for yor help. That is exactly what I wanted to do but, as you said there is probably a more efficent way to do it.

@dcherian I needed this function because I sometimes use the groupby_bins() function followed by a concatenantion along a new dimension. This can drastically increase memory due to the multiplication of other variables in a Dataset. Independantly of my usage, having a function that remove redundant data seems interessant to me. There is probably other combination of function that can accidently duplicate data. 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   removing uneccessary dimension 595813283

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]);