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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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326987229 | MDExOlB1bGxSZXF1ZXN0MTkwOTAxNDI5 | 293 | Support for external database connectors | jsancho-gpl 11912854 | closed | 0 | 1 | 2018-05-28T11:02:45Z | 2018-09-11T14:32:45Z | 2018-09-11T14:32:45Z | FIRST_TIME_CONTRIBUTOR | simonw/datasette/pulls/293 | I think it would be nice that Datasette could work with other file formats that aren't SQLite, like files with PyTables format. I've tried to accomplish that using external connectors published with entry points. These external connectors must have a structure similar to the structure PyTables Datasette connector has. |
datasette 107914493 | pull | { "url": "https://api.github.com/repos/simonw/datasette/issues/293/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]);