tweets
1 row where favorited = 0, quoted_status = 1449112317917110276 and retweeted = 0 sorted by lang
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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 |
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1449884413848809475 | swyx 33521530 | 2021-10-17T23:45:56+00:00 | @noseratio @jhooks our job is executing work across time and unreliable networks and machines: https://twitter.com/threepointone/status/1449112317917110276?s=21, React’s job is rendering the most current version of app state that is ready. i guess perhaps the analogy falls down there but there’s still useful things to borrow from React. | 1449112317917110276 1449112317917110276 | Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 | 0 | [19, 297] | 1449882287240187909 | 33521530 | swyx | 1 | 0 | 1 | 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]);