issue_comments

Table actions

1 row where author_association = "NONE" and user = 150986 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

  • dckc · 1 ✖

author_association 1

  • NONE · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
1251845216 https://github.com/dogsheep/twitter-to-sqlite/issues/31#issuecomment-1251845216 https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/31 IC_kwDODEm0Qs5KnaRg dckc 150986 2022-09-20T05:05:03Z 2022-09-20T05:05:03Z NONE

yay! Thanks a bunch for the twitter-to-sqlite friends command!

The twitter "Download an archive of your data" feature doesn't include who I follow, so this is particularly handy.

The whole Dogsheep thing is great :) I've written about similar things under cloud-services: - 2021: Closet Librarian Approach to Cloud Services - 2015: jukekb - Browse iTunes libraries and upload playlists to Google Music

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 "friends" command (similar to "followers") 520508502  

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]);