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I think the tweet table can be split into two groups of columns:
Immutable components that are inherent to the tweet, such as the text of the tweet (and content deriving from the text like mentions and urls)
Mutable components, such as the engagement metrics, and the whether there are any restrictions on who can reply
This allows us to track the mutable components with (tweet_id, collected_at) as the primary key, and the immutable component with whatever version is seen first (subject to the limitations you've noticed with tweets that are only in the includes).
In the context of streaming or longitudinal data collections this allows very neatly to track engagement with a tweet over time, as retweets of a popular tweet will give updates to the engagement metrics of the original tweet.
The text was updated successfully, but these errors were encountered:
I think the tweet table can be split into two groups of columns:
This allows us to track the mutable components with (tweet_id, collected_at) as the primary key, and the immutable component with whatever version is seen first (subject to the limitations you've noticed with tweets that are only in the includes).
In the context of streaming or longitudinal data collections this allows very neatly to track engagement with a tweet over time, as retweets of a popular tweet will give updates to the engagement metrics of the original tweet.
The text was updated successfully, but these errors were encountered: