home / github

Menu
  • Search all tables
  • GraphQL API

issue_comments

Table actions
  • GraphQL API for issue_comments

4 rows where author_association = "NONE" and issue = 323718842 sorted by updated_at descending

✖
✖
✖

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 2

  • mhalle 2
  • rayvoelker 2

issue 1

  • Mechanism for ranking results from SQLite full-text search · 4 ✖

author_association 1

  • NONE · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
876721585 https://github.com/simonw/datasette/issues/268#issuecomment-876721585 https://api.github.com/repos/simonw/datasette/issues/268 MDEyOklzc3VlQ29tbWVudDg3NjcyMTU4NQ== rayvoelker 9308268 2021-07-08T20:22:17Z 2021-07-08T20:22:17Z NONE

I do like the idea of there being a option for turning that on by default so that you could use those terms in the default "Search" bar presented when you browse to a table where FTS has been enabled. Maybe even a small inline pop up with a short bit explaining the FTS feature and the keywords (e.g. case matters). What are the side-effects of turning that on in the query string, or even by default as you suggested? I see that you stated in the docs... "to ensure they do not cause any confusion for users who are not aware of them", but I'm not sure what those could be.

Isn't it the case that those keywords are only picked up by sqlite in where you're using the MATCH clause?

Seems like a really powerful feature (even though there are a lot of hurdles around setting it up in the sqlite db ... sqlite-utils makes that so simple by the way!)

{
    "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  
876428348 https://github.com/simonw/datasette/issues/268#issuecomment-876428348 https://api.github.com/repos/simonw/datasette/issues/268 MDEyOklzc3VlQ29tbWVudDg3NjQyODM0OA== rayvoelker 9308268 2021-07-08T13:13:12Z 2021-07-08T13:13:12Z NONE

I had setup a full text search on my instance of Datasette for title data for our public library, and was noticing that some of the features of the SQLite FTS weren't working as expected ... and maybe the issue is in the escape_fts() function

vs removing the function...

Also, on the issue of sorting by rank by default .. perhaps something like this could work for the baked-in default SQL query for Datasette?

link to the above search in my instance of Datasette

{
    "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  
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:

create view proxyview as select *, rank, table_fts as fts from table_fts;

That's now visible from datasette, just like any other view, but you can use fts match escape_fts(search_string) order by rank.

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, chapter.name AS chapter_name in the view where needed) * Create an FTS5 table with content="viewname" * As described in the "external content tables" section (https://www.sqlite.org/fts5.html#external_content_tables), sql queries can be made directly to the FTS table, which behind the covers makes select calls to the content table when the content of the original columns are needed. * In addition, you get "rank" and "bm25()" available to you when you select on the _fts table.

Unfortunately, datasette doesn't currently seem happy being coerced into doing a real query on an fts5 table. This works: select col1, col2, col3 from table_fts where coll1="value" and table_fts match escape_fts("search term") order by rank

But this doesn't work in the datasette SQL query interface: select col1, col2, col3 from table_fts where coll1="value" and table_fts match escape_fts(:search) order by rank (the "search" input text field doesn't show up)

For what datasette is doing right now, I think you could just use contentless fts5 tables (content=""), since all you care about is the rowid since all you're doing a subselect to get the rowid anyway. In fts5, that's just a contentless table.

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

CSV options:

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]);
Powered by Datasette · Queries took 61.406ms · About: github-to-sqlite
  • Sort ascending
  • Sort descending
  • Facet by this
  • Hide this column
  • Show all columns
  • Show not-blank rows