issues
1 row where user = 1111743 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 849512840 | MDU6SXNzdWU4NDk1MTI4NDA= | 1288 | Facets: show counts for null | jungle-boogie 1111743 | open | 0 | 0 | 2021-04-02T22:33:44Z | 2021-04-02T22:33:44Z | NONE | Hi, Thank you for Datasette and being a fan of SQLite! Not all rows in a record will always contain data. So when using a facet on a column where some records have data and others don't, you don't get an accurate count of the results. Please consider also counting and showing null records with facets. |
datasette 107914493 | issue | {
"url": "https://api.github.com/repos/simonw/datasette/issues/1288/reactions",
"total_count": 2,
"+1": 2,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);