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1 row where author_association = "CONTRIBUTOR", "created_at" is on date 2022-01-19, repo = 107914493 and state = "open" sorted by updated_at descending
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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 |
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1108671952 | I_kwDOBm6k_c5CFP3Q | 1605 | Scripted exports | eyeseast 25778 | open | 0 | 10 | 2022-01-19T23:45:55Z | 2022-11-30T15:06:38Z | CONTRIBUTOR | Posting this while I'm thinking about it: I mentioned at the end of this thread that I'm usually doing I used to use a tool called datafreeze to do scripted exports, but that project looks dead now. The ergonomics of it are pretty nice, though, and the This is related to the idea for |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/1605/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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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]);