Question

I have a table of node likes, which looks roughly like this:

lid nid uid type
1   23  3   like
2   23  1   like
3   49  3   dislike
4   11  6   like

lid = unique ID for this table, nid = “node” (content) ID, uid = user ID and type is self explanatory.

With this query:

SELECT nid, COUNT(lid) AS score, type
FROM node_likes
INNER JOIN users ON node_likes.uid = users.uid
GROUP BY nid, type

I can get each node with its like and dislike scores. The inner join is irrelevant; some (dis)likes are from users that no longer exist, and the join is to eliminate them.

The result looks like this:

nid score type
307 4     like
307 1     dislike
404 24    like

How can I then sub-group this query by type, and return the top-scoring node ID for each “like” type (like/dislike)?

Ie.

nid score type
404 24    like
307 1     dislike

Answer 1

SELECT
    SUBSTRING_INDEX(GROUP_CONCAT(nid ORDER BY likes DESC),',',1) as most_likes_nid,
    MAX(likes) as most_likes,
    SUBSTRING_INDEX(GROUP_CONCAT(nid ORDER BY dislikes DESC),',',1) as most_dislikes_nid,
    MAX(dislikes) as most_dislikes
FROM (
    SELECT 
        nid,
        COUNT(IF(type = 'like', 1, null)) as likes,
        COUNT(IF(type = 'dislike', 1 ,null)) as dislikes
    FROM node_likes
    GROUP BY nid 
) as t