tweets

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

2 rows where "created_at" is on date 2021-10-26 and favorite_count = 3

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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
1452871265946009605 swyx 33521530 2021-10-26T05:34:37+00:00 @lillerik haha you would think... but take the most obscure youtube video you can think of and drop it into http://ytmp3.cc, see if that speed is possible using ffmpeg 😹       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [10, 178] 1452870545054306307 20708840 lillerik       0 0 3 0 0 0 en  
1453020854757953543 swyx 33521530 2021-10-26T15:29:02+00:00 @erikaybar_ @taniarascia @contentful @builderio @SplitSoftware @temporalio @tangramdotdev @supabase @Firebase       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [63, 111] 1453017985795428362 976494030 erikaybar_       0 0 3 0 0   und  

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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]);