issues

Table actions

1 row where repo = 107914493, state = "open" and "updated_at" is on date 2022-09-07 sorted by updated_at descending

✖
✖
✖
✖

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

type 1

state 1

  • open · 1 ✖

repo 1

  • datasette · 1 ✖
id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association pull_request body repo type active_lock_reason performed_via_github_app reactions draft state_reason
507454958 MDU6SXNzdWU1MDc0NTQ5NTg= 596 Handle really wide tables better simonw 9599 open 0     9 2019-10-15T20:05:46Z 2022-09-07T00:58:41Z   OWNER  

If a table has hundreds of columns the Datasette UI starts getting unwieldy.

Addressing this would be neat. One option would be to only select the first 30 columns by default and provide a UI for selecting more.

 datasette 107914493 issue     
{
    "url": "https://api.github.com/repos/simonw/datasette/issues/596/reactions",
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
    

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issues] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [state] TEXT,
   [locked] INTEGER,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [comments] INTEGER,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [author_association] TEXT,
   [pull_request] TEXT,
   [body] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [type] TEXT
, [active_lock_reason] TEXT, [performed_via_github_app] TEXT, [reactions] TEXT, [draft] INTEGER, [state_reason] TEXT);
CREATE INDEX [idx_issues_repo]
                ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
                ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
                ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
                ON [issues] ([user]);