issue_comments

Table actions

3 rows where author_association = "OWNER" and "updated_at" is on date 2023-01-29 sorted by updated_at descending

✖
✖
✖

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date)

user 1

author_association 1

  • OWNER · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
1407733793 https://github.com/simonw/datasette/pull/2008#issuecomment-1407733793 https://api.github.com/repos/simonw/datasette/issues/2008 IC_kwDOBm6k_c5T6FAh simonw 9599 2023-01-29T18:17:40Z 2023-01-29T18:17:40Z OWNER

We don't have any performance tests yet - would be a useful thing to add, I've not built anything like that before (at least not in CI, I've always done as-hoc performance testing using something like Locust) so I don't have a great feel for how it could work.

Had an interesting conversation about this just now: https://fedi.simonwillison.net/@simon/109773800944614366

There's a risk that different runs will return different results due to the shared resource nature of GitHub Actions runners, but a good fix for that is to run comparative tests where you run the benchmark against e.g. both main and the incoming PR branch and report back on any differences.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 array facet: don't materialize unnecessary columns 1560982210  
1407568923 https://github.com/simonw/datasette/pull/2008#issuecomment-1407568923 https://api.github.com/repos/simonw/datasette/issues/2008 IC_kwDOBm6k_c5T5cwb simonw 9599 2023-01-29T05:47:36Z 2023-01-29T05:47:36Z OWNER

I don't know how/if you do automated tests for performance, so I haven't changed any of the tests.

We don't have any performance tests yet - would be a useful thing to add, I've not built anything like that before (at least not in CI, I've always done as-hoc performance testing using something like Locust) so I don't have a great feel for how it could work.

I see not having to change the tests at all for this change as a really positive sign. If you find any behaviour differences between this and the previous that's a sign we should add a mother test or two specifying the behaviour we want.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 array facet: don't materialize unnecessary columns 1560982210  
1407567753 https://github.com/simonw/datasette/pull/2008#issuecomment-1407567753 https://api.github.com/repos/simonw/datasette/issues/2008 IC_kwDOBm6k_c5T5ceJ simonw 9599 2023-01-29T05:39:54Z 2023-01-29T05:40:34Z OWNER

I absolutely love this performance boost - really nice find.

One concern: this will be the first time Datasette ships a core feature that uses window functions.

Window functions were added to SQLite in version 3.25.0 on 2018-09-15 - which means it's still very common for Datasette to run on versions that don't yet support them.

So I see two options: - Detect window function support and switch between the old implementation and this better, new one - Detect window functions and disable the facet-by-JSON feature entirely if they are missing

I like the first option a bit better.

This also leads to a tricky CI challenge: Datasette needs to be able to run its test suite against more than one SQLite version to confidently test this feature going forward.

I don't yet have a good GitHub Actions recipe for this, but I really need one - for sqlite-utils too.

Might be able to use this trick for that: https://til.simonwillison.net/sqlite/ld-preload

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 array facet: don't materialize unnecessary columns 1560982210  

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]);