issue_comments
2 rows where issue = 323718842 and user = 649467 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Mechanism for ranking results from SQLite full-text search · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 790257263 | https://github.com/simonw/datasette/issues/268#issuecomment-790257263 | https://api.github.com/repos/simonw/datasette/issues/268 | MDEyOklzc3VlQ29tbWVudDc5MDI1NzI2Mw== | mhalle 649467 | 2021-03-04T03:20:23Z | 2021-03-04T03:20:23Z | NONE | It's kind of an ugly hack, but you can try out what using the fts5 table as an actual datasette-accessible table looks like without changing any datasette code by creating yet another view on top of the fts5 table:
That's now visible from datasette, just like any other view, but you can use This is only good as a proof of concept because you're inefficiently going from view -> fts5 external content table -> view -> data table. However, it does show it works. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Mechanism for ranking results from SQLite full-text search 323718842 | |
| 789409126 | https://github.com/simonw/datasette/issues/268#issuecomment-789409126 | https://api.github.com/repos/simonw/datasette/issues/268 | MDEyOklzc3VlQ29tbWVudDc4OTQwOTEyNg== | mhalle 649467 | 2021-03-03T03:57:15Z | 2021-03-03T03:58:40Z | NONE | In FTS5, I think doing an FTS search is actually much easier than doing a join against the main table like datasette does now. In fact, FTS5 external content tables provide a transparent interface back to the original table or view. Here's what I'm currently doing:
* build a view that joins whatever tables I want and rename the columns to non-joiny names (e.g, Unfortunately, datasette doesn't currently seem happy being coerced into doing a real query on an fts5 table. This works:
But this doesn't work in the datasette SQL query interface:
For what datasette is doing right now, I think you could just use contentless fts5 tables ( I guess if you want to follow this suggestion, you'd need a somewhat different code path for fts5. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
Mechanism for ranking results from SQLite full-text search 323718842 |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE [issue_comments] (
[html_url] TEXT,
[issue_url] TEXT,
[id] INTEGER PRIMARY KEY,
[node_id] TEXT,
[user] INTEGER REFERENCES [users]([id]),
[created_at] TEXT,
[updated_at] TEXT,
[author_association] TEXT,
[body] TEXT,
[reactions] TEXT,
[issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
CREATE INDEX [idx_issue_comments_issue]
ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
ON [issue_comments] ([user]);
user 1