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SQL类别高难度试卷得分的截断平均值_牛客题霸_牛客网牛客的运营同学想要查看大家在SQL类别中高难度试卷的得分情况。 请你帮她从exam_。题目来自【牛客题霸】
https://www.nowcoder.com/practice/a690f76a718242fd80757115d305be45?tpId=240&tqId=2180959&ru=%2Fpractice%2Ff6b4770f453d4163acc419e3d19e6746&qru=%2Fta%2Fsql-advanced%2Fquestion-ranking&sourceUrl=
0 问题描述
从exam_record作答记录表中计算所有用户完成SQL类别高难度试卷得分的截断平均值（去掉一个最大值和一个最小值后的平均值）。
1 数据准备
drop table if exists examination_info;
CREATE TABLE examination_info (
id int PRIMARY KEY AUTO_INCREMENT COMMENT '自增ID',
exam_id int UNIQUE NOT NULL COMMENT '试卷ID',
tag varchar(32) COMMENT '类别标签',
difficulty varchar(8) COMMENT '难度',
duration int NOT NULL COMMENT '时长',
release_time datetime COMMENT '发布时间'
)CHARACTER SET utf8 COLLATE utf8_general_ci;
drop table if exists exam_record;
CREATE TABLE exam_record (
id int PRIMARY KEY AUTO_INCREMENT COMMENT '自增ID',
uid int NOT NULL COMMENT '用户ID',
exam_id int NOT NULL COMMENT '试卷ID',
start_time datetime NOT NULL COMMENT '开始时间',
submit_time datetime COMMENT '提交时间',
score tinyint COMMENT '得分'
)CHARACTER SET utf8 COLLATE utf8_general_ci;
INSERT INTO examination_info(exam_id,tag,difficulty,duration,release_time) VALUES
(9001, 'SQL', 'hard', 60, '2020-01-01 10:00:00'),
(9002, '算法', 'medium', 80, '2020-08-02 10:00:00');
INSERT INTO exam_record(uid,exam_id,start_time,submit_time,score) VALUES
(1001, 9001, '2020-01-02 09:01:01', '2020-01-02 09:21:01', 80),
(1001, 9001, '2021-05-02 10:01:01', '2021-05-02 10:30:01', 81),
(1001, 9001, '2021-06-02 19:01:01', '2021-06-02 19:31:01', 84),
(1001, 9002, '2021-09-05 19:01:01', '2021-09-05 19:40:01', 89),
(1001, 9001, '2021-09-02 12:01:01', null, null),
(1001, 9002, '2021-09-01 12:01:01', null, null),
(1002, 9002, '2021-02-02 19:01:01', '2021-02-02 19:30:01', 87),
(1002, 9001, '2021-05-05 18:01:01', '2021-05-05 18:59:02', 90),
(1003, 9001, '2021-02-06 12:01:01', null, null),
(1003, 9001, '2021-09-07 10:01:01', '2021-09-07 10:31:01', 50);2 数据分析
方式一：截断平均值：(总和-最大值-最小值) / (总个数-2) = (sum(score) - max(score) - min(score)) / (count(score) - 2)
select tag,
difficulty,
-- 平均值保留1位小数
round((sum(score) - max(score) - min(score)) / (count(score) - 2), 1) as clip_avg_score
from exam_record er
join examination_info ei on er.exam_id = ei.exam_id
where ei.tag="SQL" and ei.difficulty="hard"
需要注意：
- 聚合函数sum, max ,min 会自定忽略null值
- 重复的最大值/最小值，该题只用去掉一个最大值/最小值就行，所以分母是count(socre) -2
方式二：开窗函数
select tag,
difficulty,
round(avg(score), 1) as clip_avg_score
from(select tag,
difficulty,
score,
--开窗
row_number() over(order by score asc) as rk_asc,
row_number() over(order by score desc) as rk_desc
from examination_info as i
join exam_record as r
on i.exam_id = r.exam_id
where tag = 'SQL' and difficulty = 'hard' and score is not null) as tmp
where rk_asc <> 1 and rk_desc <> 1
group by tag, difficulty;需要注意：
- 窗口函数不像max()和min()会自动忽略null值，所以要在where子句提前把null值去掉。否则row_number也会对它们排序
3 小结
本案例中需要注意细节：除了 count(*)会计算null值，其余的聚合函数 sum(*), avg(*),max(*),min(*),count(1) 等中会自动忽略null值；但是开窗函数row_number() over、dense_rank() over、rank() over会对null进行计算。
