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1 row where author_association = "NONE" and user = 1402264 sorted by updated_at descending

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  • perrette · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
62105676 https://github.com/pydata/xarray/issues/276#issuecomment-62105676 https://api.github.com/repos/pydata/xarray/issues/276 MDEyOklzc3VlQ29tbWVudDYyMTA1Njc2 perrette 1402264 2014-11-07T06:51:31Z 2014-11-07T06:51:31Z NONE

Talking without having looked much how this is done internally in xray yet, but I find a syntax:

ds.dims = newdims

relatively intuitive for a start. Even though it involves providing all dimensions when only one might be needed. It is one function less to remember.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   add something like set_dims to change dimensions? 47756414

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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]);