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1 row where author_association = "MEMBER", issue = 761270240 and user = 13301940 sorted by updated_at descending

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user 1

  • andersy005 · 1 ✖

issue 1

  • CI setup: use mamba and matplotlib-base · 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
742750024 https://github.com/pydata/xarray/pull/4672#issuecomment-742750024 https://api.github.com/repos/pydata/xarray/issues/4672 MDEyOklzc3VlQ29tbWVudDc0Mjc1MDAyNA== andersy005 13301940 2020-12-10T19:39:33Z 2020-12-10T19:39:33Z MEMBER

other ideas?

I just tried running the windows CI via Github actions, and I noticed some improvements. The entire run takes ~ 45 minutes

If interested, here's the workflow configuration file I am using... Also, I am happy to submit a PR if need be.

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
  CI setup: use mamba and matplotlib-base 761270240

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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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