issue_comments

Table actions

2 rows where issue = 589801352 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

  • Add type conversion for Panda's Timestamp · 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
606394619 https://github.com/simonw/sqlite-utils/pull/96#issuecomment-606394619 https://api.github.com/repos/simonw/sqlite-utils/issues/96 MDEyOklzc3VlQ29tbWVudDYwNjM5NDYxOQ== simonw 9599 2020-03-31T04:38:17Z 2020-03-31T04:40:23Z OWNER

I wonder if there are any other Pandas conversions we should be doing? https://pandas.pydata.org/pandas-docs/stable/getting_started/basics.html#dtypes 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 Add type conversion for Panda's Timestamp 589801352  
606394349 https://github.com/simonw/sqlite-utils/pull/96#issuecomment-606394349 https://api.github.com/repos/simonw/sqlite-utils/issues/96 MDEyOklzc3VlQ29tbWVudDYwNjM5NDM0OQ== simonw 9599 2020-03-31T04:37:16Z 2020-03-31T04:37:16Z OWNER

Test failure was just a Black formatting issue.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 Add type conversion for Panda's Timestamp 589801352  

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]);