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1 row where "closed_at" is on date 2020-03-26 and comments = 3 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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492153532 | MDU6SXNzdWU0OTIxNTM1MzI= | 573 | Exposing Datasette via Jupyter-server-proxy | psychemedia 82988 | closed | 0 | 3 | 2019-09-11T10:32:36Z | 2020-03-26T09:41:30Z | 2020-03-26T09:41:30Z | CONTRIBUTOR | It is possible to expose a running For example, using this demo Binder which has the server proxy installed, we can then upload a simple test database from the notebook homepage, from a Jupyter termianl install datasette and set it running against the test db on eg port 8001 and then view it via the path Clicking links results in 404s though because the |
datasette 107914493 | issue | { "url": "https://api.github.com/repos/simonw/datasette/issues/573/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]);