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1 row where issue = 1347717749 and user = 1780782 sorted by updated_at descending

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user 1

  • ment4list · 1 ✖

issue 1

  • Updating metadata.json on Datasette for MacOS · 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
1224080105 https://github.com/simonw/datasette/issues/1791#issuecomment-1224080105 https://api.github.com/repos/simonw/datasette/issues/1791 IC_kwDOBm6k_c5I9frp ment4list 1780782 2022-08-23T13:29:51Z 2022-08-23T13:29:51Z NONE

For now I've installed datasette via homebrew.

I then converted my CSV to SQLite via sqlite-utils as per the article Cleaning data with sqlite.

Now I can use my metadata.json file as follows:

datasette mydb.db -m mymetadata.json

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
Updating metadata.json on Datasette for MacOS 1347717749  

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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]);
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