html_url,issue_url,id,node_id,user,user_label,created_at,updated_at,author_association,body,reactions,issue,issue_label,performed_via_github_app
https://github.com/simonw/datasette/issues/1101#issuecomment-755134771,https://api.github.com/repos/simonw/datasette/issues/1101,755134771,MDEyOklzc3VlQ29tbWVudDc1NTEzNDc3MQ==,9599,simonw,2021-01-06T07:28:01Z,2021-01-06T07:28:01Z,OWNER,"With this structure it will become possible to stream non-newline-delimited JSON array-of-objects too - the `stream_rows()` method could output `[` first, then each row followed by a comma, then `]` after the very last row.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",749283032,register_output_renderer() should support streaming data,
https://github.com/simonw/datasette/issues/1101#issuecomment-755133937,https://api.github.com/repos/simonw/datasette/issues/1101,755133937,MDEyOklzc3VlQ29tbWVudDc1NTEzMzkzNw==,9599,simonw,2021-01-06T07:25:48Z,2021-01-06T07:26:43Z,OWNER,"Idea: instead of returning a dictionary, `register_output_renderer` could return an object. The object could have the following properties:

- `.extension` - the extension to use
- `.can_render(...)` - says if it can render this
- `.can_stream(...)` - says if streaming is supported
- `async .stream_rows(rows_iterator, send)` - method that loops through all rows and uses `send` to send them to the response in the correct format

I can then deprecate the existing `dict` return type for 1.0.","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",749283032,register_output_renderer() should support streaming data,
https://github.com/simonw/datasette/issues/1101#issuecomment-755128038,https://api.github.com/repos/simonw/datasette/issues/1101,755128038,MDEyOklzc3VlQ29tbWVudDc1NTEyODAzOA==,9599,simonw,2021-01-06T07:10:22Z,2021-01-06T07:10:22Z,OWNER,"Yet another use-case for this: I want to be able to stream newline-delimited JSON in order to better import into Pandas:

    pandas.read_json(""https://latest.datasette.io/fixtures/compound_three_primary_keys.json?_shape=array&_nl=on"", lines=True)","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",749283032,register_output_renderer() should support streaming data,
https://github.com/simonw/datasette/issues/1101#issuecomment-732544590,https://api.github.com/repos/simonw/datasette/issues/1101,732544590,MDEyOklzc3VlQ29tbWVudDczMjU0NDU5MA==,9599,simonw,2020-11-24T02:22:55Z,2020-11-24T02:22:55Z,OWNER,"The trick I'm using here is to follow the `next_url` in order to paginate through all of the matching results. The loop calls the `data()` method multiple times, once for each page of results: https://github.com/simonw/datasette/blob/4bac9f18f9d04e5ed10f072502bcc508e365438e/datasette/views/base.py#L304-L307","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",749283032,register_output_renderer() should support streaming data,
https://github.com/simonw/datasette/issues/1101#issuecomment-732543700,https://api.github.com/repos/simonw/datasette/issues/1101,732543700,MDEyOklzc3VlQ29tbWVudDczMjU0MzcwMA==,9599,simonw,2020-11-24T02:20:30Z,2020-11-24T02:20:30Z,OWNER,"Current design: https://docs.datasette.io/en/stable/plugin_hooks.html#register-output-renderer-datasette

```python
@hookimpl
def register_output_renderer(datasette):
    return {
        ""extension"": ""test"",
        ""render"": render_demo,
        ""can_render"": can_render_demo,  # Optional
    }
```
Where `render_demo` looks something like this:
```python
async def render_demo(datasette, columns, rows):
    db = datasette.get_database()
    result = await db.execute(""select sqlite_version()"")
    first_row = "" | "".join(columns)
    lines = [first_row]
    lines.append(""="" * len(first_row))
    for row in rows:
        lines.append("" | "".join(row))
    return Response(
        ""\n"".join(lines),
        content_type=""text/plain; charset=utf-8"",
        headers={""x-sqlite-version"": result.first()[0]}
    )
```
Meanwhile here's where the CSV streaming mode is implemented: https://github.com/simonw/datasette/blob/4bac9f18f9d04e5ed10f072502bcc508e365438e/datasette/views/base.py#L297-L380","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",749283032,register_output_renderer() should support streaming data,