issue_comments

Table actions

1 row where author_association = "MEMBER", issue = 479942077 and user = 306380 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

  • mrocklin · 1 ✖

issue 1

  • How should xarray use/support sparse arrays? · 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
615501070 https://github.com/pydata/xarray/issues/3213#issuecomment-615501070 https://api.github.com/repos/pydata/xarray/issues/3213 MDEyOklzc3VlQ29tbWVudDYxNTUwMTA3MA== mrocklin 306380 2020-04-17T23:08:18Z 2020-04-17T23:08:18Z MEMBER

@amueller have you all connected with @hameerabbasi ? I'm not surprised to hear that there are performance issues with pydata/sparse relative to scipy.sparse, but Hameer has historically been pretty open to working to resolve issues quickly. I'm not sure if there is already an ongoing conversation between the two groups, but I'd recommend replacing "we've chosen not to use pydata/sparse because it isn't feature complete enough for us" with "in order for us to use pydata/sparse we would need the following features".

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   How should xarray use/support sparse arrays? 479942077

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]);