WITH t1 AS(
    SELECT
        t1.video_id,
        SUM(if_like) AS like_cnt,
        SUM(IF(comment_id IS NULL, 0, 1)) AS comment_cnt,
        SUM(if_retweet) AS retweet_cnt,  
        AVG(IF(TIMESTAMPDIFF(second, start_time, end_time) >= duration, 1, 0)) AS finish_rate,
        1 / (DATEDIFF((SELECT DATE(MAX(end_time)) FROM tb_user_video_log), DATE(MAX(end_time))) + 1)  AS fresh_rate
    FROM tb_user_video_log t1
    JOIN tb_video_info t2 ON t1.video_id = t2.video_id
    WHERE release_time >= DATE_ADD((SELECT DATE(MAX(end_time)) FROM tb_user_video_log), INTERVAL -29 DAY) 
    GROUP BY t1.video_id
)

SELECT
    video_id,
    ROUND((100*finish_rate + 5*like_cnt + 3*comment_cnt + 2*retweet_cnt) * fresh_rate, 0) AS hot_index
FROM t1
ORDER BY hot_index DESC
LIMIT 3

总体思路为按照题干里提到的几个元素一个一个算。点赞数、评论数、转发数和 完播率都可以使用聚合函数 + IF条件解决。新鲜率需要计算一个时间差,需要注意要提取所有记录中某属性的最大值不能直接使用MAX,而是应该用一个小的子查询括起来,本题中是(SELECT DATE(MAX(end_time)) FROM tb_user_video_log),在下面的WHERE过滤条件中也是如此。

在把需要使用的字段全部准备好之后,在主查询中按照公式计算出热度,再排序和选取前三条记录即可。