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【牛客刷题-SQL大厂面试真题】NO1.某音短视频
2022-06-22 03:38:00 【IT邦德】
体系化学习SQL，请到牛客经典高频面试题库，参加实训，提高你的SQL技能吧~
https://www.nowcoder.com/link/pc_csdncpt_itbd_sql
文章目录
前言
SQL每个人都要用，但是用来衡量产出的并不是SQL本身，你需要用这个工具，去创造其它的价值。
SQL1 各个视频的平均完播率
建表语句
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, '2021-10-01 10:00:00', '2021-10-01 10:00:30', 0, 1, 1, null),
(102, 2001, '2021-10-01 10:00:00', '2021-10-01 10:00:24', 0, 0, 1, null),
(103, 2001, '2021-10-01 11:00:00', '2021-10-01 11:00:34', 0, 1, 0, 1732526),
(101, 2002, '2021-09-01 10:00:00', '2021-09-01 10:00:42', 1, 0, 1, null),
(102, 2002, '2021-10-01 11:00:00', '2021-10-01 11:00:30', 1, 0, 1, null);
INSERT INTO tb_video_info(video_id, author, tag, duration, release_time) VALUES
(2001, 901, '影视', 30, '2021-01-01 7:00:00'),
(2002, 901, '美食', 60, '2021-01-01 7:00:00'),
(2003, 902, '旅游', 90, '2021-01-01 7:00:00');
需求
问题：计算2021年里有播放记录的每个视频的完播率(结果保留三位小数)，并按完播率降序排序
注：视频完播率是指完成播放次数占总播放次数的比例。简单起见，
结束观看时间与开始播放时间的差>=视频时长时，视为完成播放。
答案
select a.video_id,
round(sum(case when timestampdiff(second,b.start_time,b.end_time)>=a.duration
then 1 else 0 end)/count(b.uid),3)
as avg_com_play_rate
from tb_video_info a join tb_user_video_log b on a.video_id=b.video_id
where YEAR(b.start_time) = 2021
group by a.video_id
order by avg_com_play_rate desc
SQL2 平均播放进度大于60%的视频类别
建表语句
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, '2021-10-01 10:00:00', '2021-10-01 10:00:30', 0, 1, 1, null),
(102, 2001, '2021-10-01 10:00:00', '2021-10-01 10:00:21', 0, 0, 1, null),
(103, 2001, '2021-10-01 11:00:50', '2021-10-01 11:01:20', 0, 1, 0, 1732526),
(102, 2002, '2021-10-01 11:00:00', '2021-10-01 11:00:30', 1, 0, 1, null),
(103, 2002, '2021-10-01 10:59:05', '2021-10-01 11:00:05', 1, 0, 1, null);
INSERT INTO tb_video_info(video_id, author, tag, duration, release_time) VALUES
(2001, 901, '影视', 30, '2021-01-01 7:00:00'),
(2002, 901, '美食', 60, '2021-01-01 7:00:00'),
(2003, 902, '旅游', 90, '2020-01-01 7:00:00');
需求
问题：计算各类视频的平均播放进度，将进度大于60%的类别输出。
注：
播放进度=播放时长÷视频时长*100%，当播放时长大于视频时长时，播放进度均记为100%。
结果保留两位小数，并按播放进度倒序排序。
答案
select
tag,
concat(
ROUND(
avg(
if(
timestampdiff(second,start_time,end_time)>=duration,
1,timestampdiff(second,start_time,end_time)/duration
)
)*100
,2)
,'%') avg_play_progress
from
tb_user_video_log a join tb_video_info b
on a.video_id=b.video_id
group by b.tag
having avg(
if(
timestampdiff(second,start_time,end_time)>=duration,
1,timestampdiff(second,start_time,end_time)/duration
)
)>0.6
order by avg_play_progress desc
SQL3 每类视频近一个月的转发量/率
建表语句
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, '2021-10-01 10:00:00', '2021-10-01 10:00:20', 0, 1, 1, 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', 0, 1, 0, 1732526)
,(102, 2002, '2021-09-10 11:00:00', '2021-09-10 11:00:30', 1, 0, 1, null)
,(103, 2002, '2021-10-01 10:59:05', '2021-10-01 11:00:05', 1, 0, 0, null);
INSERT INTO tb_video_info(video_id, author, tag, duration, release_time) VALUES
(2001, 901, '影视', 30, '2021-01-01 7:00:00')
,(2002, 901, '美食', 60, '2021-01-01 7:00:00')
,(2003, 902, '旅游', 90, '2020-01-01 7:00:00');
需求
问题：统计在有用户互动的最近一个月（按包含当天在内的近30天算，
比如10月31日的近30天为10.2~10.31之间的数据）中，每类视频的转发量和转发率（保留3位小数）。
注：转发率＝转发量÷播放量。结果按转发率降序排序。
答案
select b.tag, sum(if_retweet) retweet_cnt,
round(sum(if_retweet)/count(1),3) retweet_rate from
tb_user_video_log a
left join tb_video_info b
on a.video_id = b.video_id
where DATEDIFF(DATE((select max(start_time) from tb_user_video_log)) ,
DATE(start_time)) <= 29
group by b.tag
order by 2 desc
SQL4 每个创作者每月的涨粉率及截止当前的总粉丝量
建表语句
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, '2021-09-01 10:00:00', '2021-09-01 10:00:20', 0, 1, 1, null)
,(105, 2002, '2021-09-10 11:00:00', '2021-09-10 11:00:30', 1, 0, 1, null)
,(101, 2001, '2021-10-01 10:00:00', '2021-10-01 10:00:20', 1, 1, 1, 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, '2021-10-01 10:59:05', '2021-10-01 11:00:05', 2, 0, 0, null);
INSERT INTO tb_video_info(video_id, author, tag, duration, release_time) VALUES
(2001, 901, '影视', 30, '2021-01-01 7:00:00')
,(2002, 901, '影视', 60, '2021-01-01 7:00:00')
,(2003, 902, '旅游', 90, '2020-01-01 7:00:00')
,(2004, 902, '美女', 90, '2020-01-01 8:00:00');
需求
问题：计算2021年里每个创作者每月的涨粉率及截止当月的总粉丝量
注：
涨粉率=(加粉量 - 掉粉量) / 播放量。结果按创作者ID、总粉丝量升序排序。
if_follow-是否关注为1表示用户观看视频中关注了视频创作者，
为0表示此次互动前后关注状态未发生变化，为2表示本次观看过程中取消了关注。
答案
SELECT B.AUTHOR AS AUTHOR,DATE_FORMAT(A.start_time,'%Y-%m') AS MONTH ,
ROUND((COUNT(CASE WHEN A.if_follow=1 THEN 1 END ) -
COUNT(CASE WHEN A.if_follow=2 THEN 1 END ))/COUNT(1) ,3)
AS FANS_GROWTH_RATE,
sum(sum(case when A.if_follow = 1 then 1
when A.if_follow = 2 then -1
else 0 end) ) over (partition by B.author
order by date_format(A.start_time,'%Y-%m'))
fans_total
FROM tb_user_video_log A
LEFT JOIN tb_video_info B
ON A.VIDEO_ID=B.video_id
WHERE year(A.start_time)=2021
and year(A.end_time)=2021
GROUP BY B.AUTHOR,DATE_FORMAT(A.start_time,'%Y-%m')
ORDER BY AUTHOR,fans_total
SQL5 国庆期间每类视频点赞量和转发量
建表语句
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');
需求
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。
答案
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
SQL6 近一个月发布的视频中热度最高的top3视频
建表语句
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 10:00:30', 1, 1, 1, null)
,(101, 2001, '2021-10-01 10:00:00', '2021-10-01 10:00:31', 1, 1, 0, null)
,(102, 2001, '2021-10-01 10:00:00', '2021-10-01 10:00:35', 0, 0, 1, null)
,(103, 2001, '2021-10-03 11:00:50', '2021-10-03 11:01:35', 1, 1, 0, 1732526)
,(106, 2002, '2021-10-02 10:59:05', '2021-10-02 11:00:04', 2, 0, 1, null)
,(107, 2002, '2021-10-02 10:59:05', '2021-10-02 11:00:06', 1, 0, 0, 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 11:00:01', 0, 1, 0, null)
,(105, 2002, '2021-09-25 11:00:00', '2021-09-25 11:00:30', 1, 0, 1, null)
,(101, 2003, '2021-09-26 11:00:00', '2021-09-26 11:00:30', 1, 0, 0, null)
,(101, 2003, '2021-09-30 11:00:00', '2021-09-30 11:00:30', 1, 1, 0, null);
INSERT INTO tb_video_info(video_id, author, tag, duration, release_time) VALUES
(2001, 901, '旅游', 30, '2021-09-05 7:00:00')
,(2002, 901, '旅游', 60, '2021-09-05 7:00:00')
,(2003, 902, '影视', 90, '2021-09-05 7:00:00')
,(2004, 902, '影视', 90, '2021-09-05 8:00:00');
需求
问题：找出近一个月发布的视频中热度最高的top3视频。
注：
热度=(a*视频完播率+b*点赞数+c*评论数+d*转发数)*新鲜度；
新鲜度=1/(最近无播放天数+1)；
当前配置的参数a,b,c,d分别为100、5、3、2。
最近播放日期以end_time-结束观看时间为准，假设为T，则最近一个月按[T-29, T]闭区间统计。
结果中热度保留为整数，并按热度降序排序。
答案
select t1.video_id
,round(
((sum(case when timestampdiff(second,start_time,end_time)>=duration
then 1 else 0 end ))/count(*)*100
+sum(if_like)*5
+count(comment_id)*3
+sum(if_retweet)*2)
*
1/(DATEDIFF((select date(max(end_time)) from tb_user_video_log),
date(max(end_time)))+1)
) as hot_index
from tb_user_video_log t1,tb_video_info t2
where t1.video_id=t2.video_id
and DATEDIFF(DATE((SELECT MAX(end_time) FROM tb_user_video_log)),
DATE(release_time)) <= 29
group by t1.video_id
order by hot_index desc
limiT 3
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