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tweets

This is data scraped from swyx's timeline! See blog post

1 row where quoted_status = 1435324306238619649, retweet_count = 0 and retweeted = 0 sorted by lang

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user 1 ✖

  • swyx 1

retweeted 1 ✖

  • - · 1 ✖

retweet_count 1 ✖

  • - · 1 ✖

quoted_status 1 ✖

  • 1435324306238619649 · 1 ✖

created_at (date) 1 ✖

  • 2021-09-08 1
id user created_at full_text retweeted_status quoted_status place source truncated display_text_range in_reply_to_status_id in_reply_to_user_id in_reply_to_screen_name geo coordinates contributors is_quote_status retweet_count favorite_count favorited retweeted possibly_sensitive lang ▼ scopes
1435471481266388993 swyx 33521530 2021-09-08T05:14:05+00:00 Brian makes good points here about where we want provisioning to be implicit vs explicit: we definitely dont want typos to drop db’s but ironically i do raise Begin Data as a form of implicit provisioning of DB https://twitter.com/brianleroux/status/1435324306238619649   1435324306238619649 1435324306238619649   Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [0, 211] 1433939106459885570 33521530 swyx       1 0 2 0 0 0 en  

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CREATE TABLE [tweets] (
   [id] INTEGER PRIMARY KEY,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [full_text] TEXT,
   [retweeted_status] INTEGER,
   [quoted_status] INTEGER,
   [place] TEXT REFERENCES [places]([id]),
   [source] TEXT REFERENCES [sources]([id]), [truncated] INTEGER, [display_text_range] TEXT, [in_reply_to_status_id] INTEGER, [in_reply_to_user_id] INTEGER, [in_reply_to_screen_name] TEXT, [geo] TEXT, [coordinates] TEXT, [contributors] TEXT, [is_quote_status] INTEGER, [retweet_count] INTEGER, [favorite_count] INTEGER, [favorited] INTEGER, [retweeted] INTEGER, [possibly_sensitive] INTEGER, [lang] TEXT, [scopes] TEXT,
   FOREIGN KEY([retweeted_status]) REFERENCES [tweets]([id]),
   FOREIGN KEY([quoted_status]) REFERENCES [tweets]([id])
);
CREATE INDEX [idx_tweets_source]
    ON [tweets] ([source]);
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