issue_comments: 1092386254
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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https://github.com/simonw/datasette/issues/1699#issuecomment-1092386254 | https://api.github.com/repos/simonw/datasette/issues/1699 | 1092386254 | IC_kwDOBm6k_c5BHH3O | 25778 | 2022-04-08T02:39:25Z | 2022-04-08T02:39:25Z | CONTRIBUTOR | And just to think this through a little more, here's what `stream_geojson` might look like: ```python async def stream_geojson(datasette, columns, rows, database, stream): db = datasette.get_database(database) for row in rows: feature = await row_to_geojson(row, db) stream.write(feature + "\n") # just assuming newline mode for now ``` Alternately, that could be an async generator, like this: ```python async def stream_geojson(datasette, columns, rows, database): db = datasette.get_database(database) for row in rows: feature = await row_to_geojson(row, db) yield feature ``` Not sure which makes more sense, but I think this pattern would open up a lot of possibility. If you had your [stream_indented_json](https://til.simonwillison.net/python/output-json-array-streaming) function, you could do `yield from stream_indented_json(rows, 2)` and be one your way. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 1193090967 |