tweets

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

1 row where display_text_range = "[35, 315]", lang = "en", source = "1f89d6a41b1505a3071169f8d0d028ba9ad6f952" and user = 33521530 sorted by lang

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user 1 ✖

  • swyx · 1 ✖

lang 1 ✖

display_text_range 1 ✖

  • [35, 315] · 1 ✖

created_at (date) 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
1438681179729784835 swyx 33521530 2021-09-17T01:48:17+00:00 @EricVicenti @spitleaf @temporalio we are working on bringing it down :) this is one of those rare cases when the thing was designed for extreme scale and is now being brought down to a single binary (https://github.com/DataDog/temporalite), as opposed to starting small and then scaling it up re: how it works - try a thread tmr       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [35, 315] 1438571865765662721 594746113 EricVicenti       0 0 8 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]);