issue_comments

Table actions

3 rows where author_association = "MEMBER", issue = 323703742 and user = 5635139 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

These facets timed out: author_association, issue

user 1

  • max-sixty · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
708616198 https://github.com/pydata/xarray/issues/2139#issuecomment-708616198 https://api.github.com/repos/pydata/xarray/issues/2139 MDEyOklzc3VlQ29tbWVudDcwODYxNjE5OA== max-sixty 5635139 2020-10-14T19:34:53Z 2020-10-14T19:34:53Z MEMBER

As you wish — if there's a motivating example then that has more weight, and big issues should have ample supply of motivating examples. That said, if you have something ready to go, then happy to take a look at it.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   From pandas to xarray without blowing up memory 323703742
708579401 https://github.com/pydata/xarray/issues/2139#issuecomment-708579401 https://api.github.com/repos/pydata/xarray/issues/2139 MDEyOklzc3VlQ29tbWVudDcwODU3OTQwMQ== max-sixty 5635139 2020-10-14T18:23:16Z 2020-10-14T18:23:16Z MEMBER

Great! Post here / a new issue if something does come up!

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   From pandas to xarray without blowing up memory 323703742
708499472 https://github.com/pydata/xarray/issues/2139#issuecomment-708499472 https://api.github.com/repos/pydata/xarray/issues/2139 MDEyOklzc3VlQ29tbWVudDcwODQ5OTQ3Mg== max-sixty 5635139 2020-10-14T16:00:35Z 2020-10-14T16:00:35Z MEMBER

@mankoff Thanks for the issue, do you have a fuller reproduction? I'm happy to take a look at this.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   From pandas to xarray without blowing up memory 323703742

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]);