tweets
1 row where "created_at" is on date 2019-05-31 sorted by lang
This data as json, CSV (advanced)
quoted_status 0 ✖
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1134311153960534016 | Lee Byron 14904098 | 2019-05-31T04:10:28+00:00 | Super curious to see how this works out. Historically I’ve been very skeptical of schema federation and the costs it incurs on an org, so I’m hoping to learn from the community on what works and doesn’t work from this new attempt. https://twitter.com/apollographql/status/1134086759489384449 | Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 | 0 | [0, 230] | 1 | 11 | 82 | 0 | 0 | 0 | en |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);