SQL160. 国庆期间每类视频点赞量和转发量
描述
用户-视频互动表tb_user_video_log
id | uid | video_id | start_time | end_time | if_follow | if_like | if_retweet | comment_id |
1 | 101 | 2001 | 2021-09-24 10:00:00 | 2021-09-24 10:00:20 | 1 | 1 | 0 | NULL |
2 | 105 | 2002 | 2021-09-25 11:00:00 | 2021-09-25 11:00:30 | 0 | 0 | 1 | NULL |
3 | 102 | 2002 | 2021-09-25 11:00:00 | 2021-09-25 11:00:30 | 1 | 1 | 1 | NULL |
4 | 101 | 2002 | 2021-09-26 11:00:00 | 2021-09-26 11:00:30 | 1 | 0 | 1 | NULL |
5 | 101 | 2002 | 2021-09-27 11:00:00 | 2021-09-27 11:00:30 | 1 | 1 | 0 | NULL |
6 | 102 | 2002 | 2021-09-28 11:00:00 | 2021-09-28 11:00:30 | 1 | 0 | 1 | NULL |
7 | 103 | 2002 | 2021-09-29 11:00:00 | 2021-10-02 11:00:30 | 1 | 0 | 1 | NULL |
8 | 102 | 2002 | 2021-09-30 11:00:00 | 2021-09-30 11:00:30 | 1 | 1 | 1 | NULL |
9 | 101 | 2001 | 2021-10-01 10:00:00 | 2021-10-01 10:00:20 | 1 | 1 | 0 | NULL |
10 | 102 | 2001 | 2021-10-01 10:00:00 | 2021-10-01 10:00:15 | 0 | 0 | 1 | NULL |
11 | 103 | 2001 | 2021-10-01 11:00:50 | 2021-10-01 11:01:15 | 1 | 1 | 0 | 1732526 |
12 | 106 | 2002 | 2021-10-02 10:59:05 | 2021-10-02 11:00:05 | 2 | 0 | 1 | NULL |
13 | 107 | 2002 | 2021-10-02 10:59:05 | 2021-10-02 11:00:05 | 1 | 0 | 1 | NULL |
14 | 108 | 2002 | 2021-10-02 10:59:05 | 2021-10-02 11:00:05 | 1 | 1 | 1 | NULL |
15 | 109 | 2002 | 2021-10-03 10:59:05 | 2021-10-03 11:00:05 | 0 | 1 | 0 | NULL |
短视频信息表tb_video_info
id | video_id | author | tag | duration | release_time |
1 | 2001 | 901 | 旅游 | 30 | 2020-01-01 07:00:00 |
2 | 2002 | 901 | 旅游 | 60 | 2021-01-01 07:00:00 |
3 | 2003 | 902 | 影视 | 90 | 2020-01-01 07:00:00 |
4 | 2004 | 902 | 美女 | 90 | 2020-01-01 08:00:00 |
tag | dt | sum_like_cnt_7d | max_retweet_cnt_7d |
旅游 | 2021-10-01 | 5 | 2 |
旅游 | 2021-10-02 | 5 | 3 |
旅游 | 2021-10-03 | 6 | 3 |
tag | dt | like_cnt | retweet_cnt |
旅游 | 2021-09-25 | 1 | 2 |
旅游 | 2021-09-26 | 0 | 1 |
旅游 | 2021-09-27 | 1 | 0 |
旅游 | 2021-09-28 | 0 | 1 |
旅游 | 2021-09-29 | 0 | 1 |
旅游 | 2021-09-30 | 1 | 1 |
旅游 | 2021-10-01 | 2 | 1 |
旅游 | 2021-10-02 | 1 | 3 |
旅游 | 2021-10-03 | 1 | 0 |
示例1
输入:
DROP TABLE IF EXISTS tb_user_video_log, tb_video_info; CREATE TABLE tb_user_video_log ( id INT PRIMARY KEY AUTO_INCREMENT COMMENT '自增ID', uid INT NOT NULL COMMENT '用户ID', video_id INT NOT NULL COMMENT '视频ID', start_time datetime COMMENT '开始观看时间', end_time datetime COMMENT '结束观看时间', if_follow TINYINT COMMENT '是否关注', if_like TINYINT COMMENT '是否点赞', if_retweet TINYINT COMMENT '是否转发', comment_id INT COMMENT '评论ID' ) CHARACTER SET utf8 COLLATE utf8_bin; CREATE TABLE tb_video_info ( id INT PRIMARY KEY AUTO_INCREMENT COMMENT '自增ID', video_id INT UNIQUE NOT NULL COMMENT '视频ID', author INT NOT NULL COMMENT '创作者ID', tag VARCHAR(16) NOT NULL COMMENT '类别标签', duration INT NOT NULL COMMENT '视频时长(秒数)', release_time datetime NOT NULL COMMENT '发布时间' )CHARACTER SET utf8 COLLATE utf8_bin; INSERT INTO tb_user_video_log(uid, video_id, start_time, end_time, if_follow, if_like, if_retweet, comment_id) VALUES (101, 2001, '2021-09-24 10:00:00', '2021-09-24 10:00:20', 1, 1, 0, null) ,(105, 2002, '2021-09-25 11:00:00', '2021-09-25 11:00:30', 0, 0, 1, null) ,(102, 2002, '2021-09-25 11:00:00', '2021-09-25 11:00:30', 1, 1, 1, null) ,(101, 2002, '2021-09-26 11:00:00', '2021-09-26 11:00:30', 1, 0, 1, null) ,(101, 2002, '2021-09-27 11:00:00', '2021-09-27 11:00:30', 1, 1, 0, null) ,(102, 2002, '2021-09-28 11:00:00', '2021-09-28 11:00:30', 1, 0, 1, null) ,(103, 2002, '2021-09-29 11:00:00', '2021-09-29 11:00:30', 1, 0, 1, null) ,(102, 2002, '2021-09-30 11:00:00', '2021-09-30 11:00:30', 1, 1, 1, null) ,(101, 2001, '2021-10-01 10:00:00', '2021-10-01 10:00:20', 1, 1, 0, null) ,(102, 2001, '2021-10-01 10:00:00', '2021-10-01 10:00:15', 0, 0, 1, null) ,(103, 2001, '2021-10-01 11:00:50', '2021-10-01 11:01:15', 1, 1, 0, 1732526) ,(106, 2002, '2021-10-02 10:59:05', '2021-10-02 11:00:05', 2, 0, 1, null) ,(107, 2002, '2021-10-02 10:59:05', '2021-10-02 11:00:05', 1, 0, 1, null) ,(108, 2002, '2021-10-02 10:59:05', '2021-10-02 11:00:05', 1, 1, 1, null) ,(109, 2002, '2021-10-03 10:59:05', '2021-10-03 11:00:05', 0, 1, 0, null); INSERT INTO tb_video_info(video_id, author, tag, duration, release_time) VALUES (2001, 901, '旅游', 30, '2020-01-01 7:00:00') ,(2002, 901, '旅游', 60, '2021-01-01 7:00:00') ,(2003, 902, '影视', 90, '2020-01-01 7:00:00') ,(2004, 902, '美女', 90, '2020-01-01 8:00:00');
输出:
旅游|2021-10-01|5|2 旅游|2021-10-02|5|3 旅游|2021-10-03|6|3
Mysql 解法, 执行用时: 36ms, 内存消耗: 6400KB, 提交时间: 2021-12-05
select t1.tag,t1.day,sum(t2.likes),max(t2.retweet) FROM (select t2.tag ,left(t1.start_time,10) day,sum(t1.if_like) as likes,sum(t1.if_retweet) as retweet from tb_user_video_log t1 left join tb_video_info t2 on t1.video_id=t2.video_id group by t2.tag,day) t1 left join (select t2.tag ,left(t1.start_time,10) day,sum(t1.if_like) as likes,sum(t1.if_retweet) as retweet from tb_user_video_log t1 left join tb_video_info t2 on t1.video_id=t2.video_id group by t2.tag,day) t2 on t1.tag=t2.tag where TIMESTAMPDIFF(day,t2.day,t1.day)<7 and TIMESTAMPDIFF(day,t2.day,t1.day)>=0 and t1.day in ("2021-10-01","2021-10-02","2021-10-03") group by t1.tag,t1.day
Mysql 解法, 执行用时: 36ms, 内存消耗: 6412KB, 提交时间: 2022-01-25
with t as( select tag, date_format(start_time,'%Y-%m-%d') as dt, sum(if_like) as like_cnt, sum(if_retweet) as retweet_cnt from tb_user_video_log left join tb_video_info using (video_id) group by tag,dt ) select * from ( select tag, dt, sum(like_cnt) over (partition by tag order by dt rows between 6 preceding and current row) as sum_like_cnt_7d, max(retweet_cnt) over (partition by tag order by dt rows between 6 preceding and current row) as max_retweet_cnt_7d from t ) t1 where dt between '2021-10-01' and '2021-10-03' order by tag desc,dt
Mysql 解法, 执行用时: 36ms, 内存消耗: 6420KB, 提交时间: 2022-01-03
SELECT * FROM (SELECT tag, dt, SUM(lick_cnt) OVER w, MAX(retweet_cnt) OVER w FROM (SELECT tag, DATE_FORMAT(start_time, '%Y-%m-%d') AS dt, SUM(if_like) lick_cnt, SUM(if_retweet) retweet_cnt FROM tb_user_video_log JOIN tb_video_info USING(video_id) WHERE start_time BETWEEN '20210925' AND '20211004' GROUP BY tag, dt) t WINDOW w AS (PARTITION BY tag ORDER BY dt DESC rows BETWEEN CURRENT ROW AND 6 FOLLOWING) ) t1 WHERE dt BETWEEN '2021-10-01' AND '2021-10-04' ORDER BY tag DESC, dt ASC
Mysql 解法, 执行用时: 36ms, 内存消耗: 6444KB, 提交时间: 2022-01-25
# 每一类视频tag类别 #前三天分别是 01-02-03 # 近一周总点赞量if_like # 近一周最大单日转发量if_retweet # 视频类别降序 # j select tag, dt, sum(like_cnt) `sum_like_cnt_7d`, max(tweet) `max_retweet_cnt_7d` from (select tag, dt, sum(if_like) `like_cnt`, sum(if_retweet) `tweet` from (select vi.tag, b.dt, date(vl1.start_time) `st_date`, vl1.if_like, vl1.if_retweet from tb_video_info vi left join tb_user_video_log vl1 on vi.video_id = vl1.video_id, ( select distinct date(start_time) dt from tb_user_video_log vl where DATEDIFF(vl.start_time,'2021-10-01')>=0 and DATEDIFF(vl.start_time,'2021-10-01')<3) b where DATEDIFF(vl1.start_time,b.dt)<=0 and DATEDIFF(vl1.start_time,b.dt)>-7) t GROUP BY tag, dt, st_date) t1 GROUP BY tag, dt ORDER BY tag desc, `dt`;
Mysql 解法, 执行用时: 36ms, 内存消耗: 6448KB, 提交时间: 2022-01-22
SELECT * FROM (SELECT tag, dt, SUM(like_cnt) over (partition by tag order by dt ROWS 6 preceding) AS sum_like_cnt_7d, MAX(retweet_cnt) over (partition by tag order by dt rows 6 preceding) AS max_retweet_cnt_7d FROM (SELECT tag, DATE(start_time) AS dt, SUM(IF(if_like = 1, 1, 0)) AS like_cnt, SUM(if(if_retweet = 1, 1, 0)) AS retweet_cnt FROM tb_user_video_log u LEFT JOIN tb_video_info vi ON u.video_id = vi.video_id GROUP BY tag,DATE(start_time)) t1 GROUP BY tag, dt) t2 WHERE dt between '2021-10-01' and '2021-10-03' ORDER BY tag DESC,dt ASC