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1 row where issue = 1428748922 and user = 10194086 sorted by updated_at descending

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user 1

  • mathause · 1 ✖

issue 1

  • Improve non-nanosecond warning · 1 ✖

author_association 1

  • MEMBER 1
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1301816540 https://github.com/pydata/xarray/pull/7238#issuecomment-1301816540 https://api.github.com/repos/pydata/xarray/issues/7238 IC_kwDOAMm_X85NmCTc mathause 10194086 2022-11-03T09:09:25Z 2022-11-03T09:09:25Z MEMBER

Pandas has a find_stack_level function (https://github.com/pandas-dev/pandas/blob/0106c26529900bad0561efb9c9180f7f016365b0/pandas/util/_exceptions.py#L28). But I am not sure if this would fix the problem?

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  Improve non-nanosecond warning 1428748922

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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]);
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