Hello,
> First, Is this data modeling correct for follow base (follower,
following actions) social network?
For social network, I advise you to see Graph Databases, over Cassandra
Example : https://academy.datastax.com/resources/getting-started-graph-databases
De : Mohammad Kermani [mailto:98kerm...@gmail.com]
Envoyé : lundi 30 mai 2016 13:42
À : user@cassandra.apache.org
Objet : Cassandra data modeling for a social network
We are using Cassandra for our social network and we are designing/data
modeling tables we need, it is confusing for us and we don't know how to design
some tables and we have some little problems!
As we understood for every query we have to have different tables, and for
example user A is following user C and B.
Now, in Cassandra we have a table that is posts_by_user:
user_id | post_id | text | created_on | deleted | view_count
likes_count | comments_count | user_full_name
And we have a table according to the followers of users, we insert the post's
info to the table called user_timeline that when the follower users are
visiting the first web page we get the post from database from user_timeline
table.
And here is user_timeline table:
follower_id | post_id | user_id (who posted) | likes_count |
comments_count | location_name | user_full_name
First, Is this data modeling correct for follow base (follower, following
actions) social network?
And now we want to count likes of a post, as you see we have number of likes in
both tables(user_timeline, posts_by_user), and imagine one user has 1000
followers then by each like action we have to update all 1000 rows in
user_timeline and 1 row in posts_by_users; And this is not logical!
Then, my second question is How should it be? I mean how should like (favorite)
table be?
Thank you
I wish I can get answer
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