tweets
1 row where "created_at" is on date 2021-10-05, favorite_count = 2 and is_quote_status = 1
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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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1445273229287776258 | swyx 33521530 | 2021-10-05T06:22:44+00:00 | @ShopTalkShow @davatron5000 @chriscoyier re: that schedule/queue task + fetch data + do arbitrary stuff with it, while persisting everything to PostgreSQL + horizontally scalable, without arbitrary 15 min limit or memory limit This is exactly what we do @temporalio :) https://twitter.com/swyx/status/1417165270641045505 | 1417165270641045505 1417165270641045505 | Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 | 0 | [14, 294] | 1445135763880960002 | 457747138 | ShopTalkShow | 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]);