SQL160 国庆期间每类视频点赞量和转发量

题目描述

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

（uid-用户ID, video_id-视频ID, start_time-开始观看时间, end_time-结束观看时间, if_follow-是否关注, if_like-是否点赞, if_retweet-是否转发, comment_id-评论ID）

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

（video_id-视频ID, author-创作者ID, tag-类别标签, duration-视频时长, release_time-发布时间）

问题：统计2021年国庆头3天每类视频每天的近一周总点赞量和一周内最大单天转发量，结果按视频类别降序、日期升序排序。假设数据库中数据足够多，至少每个类别下国庆头3天及之前一周的每天都有播放记录。

输出示例：

示例数据的输出结果如下：

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

解释：

由表tb_user_video_log里的数据可得只有旅游类视频的播放，2021年9月25到10月3日每天的点赞量和转发量如下：

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

因此国庆头3天（10.01~10.03）里10.01的近7天（9.25~10.01）总点赞量为5次，单天最大转发量为2次（9月25那天最大）；同理可得10.02和10.03的两个指标。

SQL Schema

sql

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');

答案

sql

SELECT tag, dt, sum_like_cnt_7d, max_retweet_cnt_7d
FROM (SELECT tvi.tag,
             DATE_FORMAT(tuvl.start_time, '%Y-%m-%d')                                                           AS `dt`,
             SUM(SUM(IF(if_like = 1, 1, 0)))
                 OVER (PARTITION BY tvi.tag ORDER BY DATE_FORMAT(tuvl.start_time, '%Y-%m-%d') ROWS 6 PRECEDING) AS `sum_like_cnt_7d`,
             MAX(SUM(IF(if_retweet = 1, 1, 0)))
                 OVER (PARTITION BY tvi.tag ORDER BY DATE_FORMAT(tuvl.start_time, '%Y-%m-%d') ROWS 6 PRECEDING) AS `max_retweet_cnt_7d`
      FROM tb_user_video_log tuvl
               INNER JOIN tb_video_info tvi on tuvl.video_id = tvi.video_id
      GROUP BY tvi.tag, dt) t
WHERE dt BETWEEN '2021-10-01' AND '2021-10-03'
ORDER BY tag DESC, dt;

SQL160 国庆期间每类视频点赞量和转发量 ​

题目描述 ​

SQL Schema ​

答案 ​

SQL160 国庆期间每类视频点赞量和转发量

题目描述

SQL Schema

答案