tweets

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

1 row where "created_at" is on date 2021-12-21 and user = 1249002899897647105 sorted by lang

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user 1 ✖

  • Coding Career Community · 1 ✖

created_at (date) 1 ✖

  • 2021-12-21 · 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
1473316076893081602 Coding Career Community 1249002899897647105 2021-12-21T15:35:00+00:00 "The best places to grow are not the places where everything is peachy. It's the places where there's pressure on you to perform, and there is space for your performance to really make an impact." @li_haoyi with some gold career advice on where to work: https://www.lihaoyi.com/post/ReflectingonFourYearsatDatabricks.html https://twitter.com/Coding_Career/status/1473316076893081602/photo/1       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 278]             0 4 17 1 1 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]);