issue_comments

Table actions

2 rows where issue = 1309542173 and user = 9599 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

user 1

  • simonw · 2 ✖

issue 1

  • in extract code, check equality with IS instead of = for nulls · 2 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
1229205990 https://github.com/simonw/sqlite-utils/pull/455#issuecomment-1229205990 https://api.github.com/repos/simonw/sqlite-utils/issues/455 IC_kwDOCGYnMM5JRDHm simonw 9599 2022-08-27T14:44:45Z 2022-08-27T14:44:45Z OWNER

I did not know is worked against strings and integers and booleans!

https://latest.datasette.io/_memory?sql=select+1+is+1%2C+2.3+is+2.3%2C+true+is+true%2C+true+is+false%2C+%27dog%27+is+%27dog%27%2C+%27dog%27+is+%27cat%27%2C+null+is+null%2C+null+is+not+null

sql select 1 is 1, 2.3 is 2.3, true is true, true is false, 'dog' is 'dog', 'dog' is 'cat', null is null, null is not null

| 1 is 1 | 2.3 is 2.3 | true is true | true is false | 'dog' is 'dog' | 'dog' is 'cat' | null is null | null is not null | |----------|--------------|----------------|-----------------|------------------|------------------|----------------|--------------------| | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 0 |

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 in extract code, check equality with IS instead of = for nulls 1309542173  
1190686273 https://github.com/simonw/sqlite-utils/pull/455#issuecomment-1190686273 https://api.github.com/repos/simonw/sqlite-utils/issues/455 IC_kwDOCGYnMM5G-G5B simonw 9599 2022-07-20T19:46:15Z 2022-07-20T19:46:15Z OWNER

Can you add a new test for this? Something derived from the example in #423 would work great.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 in extract code, check equality with IS instead of = for nulls 1309542173  

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]);