95、聚合函数的使用(1)
数据表:examination_info(exam_id:试卷ID,tag:试卷类别,difficulty:试卷难度,duration:考试时长,release_time:发布时间),表中数据如下:
| id | exam_id | tag | difficulty | duration | release_time |
|---|---|---|---|---|---|
| 1 | 9001 | SQL | hard | 60 | 2020-01-01 10:00:00 |
| 2 | 9002 | 算法 | medium | 80 | 2020-08-02 10:00:00 |
数据表:exam_record(uid:用户ID,exam_id:试卷ID,start_time:开始答题时间,submit_time:交卷时间,score:得分),表中数据如下:
| id | uid | exam_id | start_time | submit_time | score |
|---|---|---|---|---|---|
| 1 | 1001 | 9001 | 2020-01-02 09:01:01 | 2020-01-02 09:21:01 | 80 |
| 2 | 1001 | 9001 | 2021-05-02 10:01:01 | 2021-05-02 10:30:01 | 81 |
| 3 | 1001 | 9001 | 2021-06-02 19:01:01 | 2021-06-02 19:31:01 | 84 |
| 4 | 1001 | 9002 | 2021-09-05 19:01:01 | 2021-09-05 19:40:01 | 89 |
| 5 | 1001 | 9001 | 2021-09-02 12:01:01 | (NULL) | (NULL) |
| 6 | 1001 | 9002 | 2021-09-01 12:01:01 | (NULL) | (NULL) |
| 7 | 1002 | 9002 | 2021-02-02 19:01:01 | 2021-02-02 19:30:01 | 87 |
| 8 | 1002 | 9001 | 2021-05-05 18:01:01 | 2021-05-05 18:59:02 | 90 |
| 9 | 1003 | 9001 | 2021-09-07 12:01:01 | 2021-09-07 10:31:01 | 50 |
| 10 | 1004 | 9001 | 2021-09-06 10:01:01 | (NULL) | (NULL) |
【问题】从 exam_record 数据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)。查询结果如下:
| tag | difficulty | clip_avg_score |
|---|---|---|
| SQL | hard | 81.7 |
数据表:exam_record,表结构和数据如下:
/*
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);
*/
解答:
/*
select 'SQL' tag, 'hard' difficulty,
round(avg(score),1) clip_avg_score from exam_record where exam_id in
(select exam_id from examination_info where tag = 'SQL' and difficulty = 'hard')
and score <>
(select max(score) from exam_record where exam_id in
(select exam_id from examination_info where tag = 'SQL' and difficulty = 'hard'))
and score <>
(select min(score) from exam_record where exam_id in
(select exam_id from examination_info where tag = 'SQL' and difficulty = 'hard'));
*/
mysql> select 'SQL' tag, 'hard' difficulty,
-> round(avg(score),1) clip_avg_score from exam_record where exam_id in
-> (select exam_id from examination_info where tag = 'SQL' and difficulty = 'hard')
-> and score <>
-> (select max(score) from exam_record where exam_id in
-> (select exam_id from examination_info where tag = 'SQL' and difficulty = 'hard'))
-> and score <>
-> (select min(score) from exam_record where exam_id in
-> (select exam_id from examination_info where tag = 'SQL' and difficulty = 'hard'));
+-----+------------+----------------+
| tag | difficulty | clip_avg_score |
+-----+------------+----------------+
| SQL | hard | 81.7 |
+-----+------------+----------------+
1 row in set (0.01 sec)
96、聚合函数的使用(2)
数据表:exam_record 表(uid:用户ID,exam_id:试卷ID,start_time:开始作答时间,submit_time:交卷时间, score:得分),表中数据如下:
| id | uid | exam_id | start_time | submit_time | score |
|---|---|---|---|---|---|
| 1 | 1001 | 9001 | 2020-01-02 09:01:01 | 2020-01-02 09:21:01 | 80 |
| 2 | 1001 | 9001 | 2021-05-02 10:01:01 | 2021-05-02 10:30:01 | 81 |
| 3 | 1001 | 9001 | 2021-06-02 19:01:01 | 2021-06-02 19:31:01 | 84 |
| 4 | 1001 | 9002 | 2021-09-05 19:01:01 | 2021-09-05 19:40:01 | 89 |
| 5 | 1001 | 9001 | 2021-09-02 12:01:01 | (NULL) | (NULL) |
| 6 | 1001 | 9002 | 2021-09-01 12:01:01 | (NULL) | (NULL) |
| 7 | 1002 | 9002 | 2021-02-02 19:01:01 | 2021-02-02 19:30:01 | 87 |
| 8 | 1002 | 9001 | 2021-05-05 18:01:01 | 2021-05-05 18:59:02 | 90 |
| 9 | 1003 | 9001 | 2021-02-06 12:01:01 | (NULL) | (NULL) |
| 10 | 1003 | 9001 | 2021-09-07 10:01:01 | 2021-09-07 10:31:01 | 88 |
| 11 | 1004 | 9001 | 2021-09-06 12:01:01 | (NULL) | (NULL) |
【问题】请统计出总答题次数:total_pv、试卷已完成答题数:complete_pv,已完成的试卷数:complete_exam_cnt。查询结果如下:
| total_pv | complete_pv | complete_exam_cnt |
|---|---|---|
| 11 | 7 | 2 |
表结构和数据如下:
/*
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 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', 89),
(1004, 9001, '2021-09-06 12:01:01', null, null);
*/
解答:
/*
select count(*) total_pv,
count(submit_time) complete_pv,
count(distinct if(submit_time is not null, exam_id, null)) complete_exam_cnt
from exam_record;
*/
mysql> select count(*) total_pv,
-> count(submit_time) complete_pv,
-> count(distinct if(submit_time is not null, exam_id, null)) complete_exam_cnt
-> from exam_record;
+----------+-------------+-------------------+
| total_pv | complete_pv | complete_exam_cnt |
+----------+-------------+-------------------+
| 11 | 7 | 2 |
+----------+-------------+-------------------+
1 row in set (0.00 sec)
97、聚合函数的使用(3)
数据表:exam_record(uid:用户ID,exam_id:试卷ID,start_time:开始作答时间,submit_time:交卷时间,score:得分),表中数据如下:
| id | uid | exam_id | start_time | submit_time | score |
|---|---|---|---|---|---|
| 1 | 1001 | 9001 | 2020-01-02 09:01:01 | 2020-01-02 09:21:01 | 80 |
| 2 | 1002 | 9001 | 2021-09-05 19:01:01 | 2021-09-05 19:40:01 | 89 |
| 3 | 1002 | 9002 | 2021-09-02 12:01:01 | (NULL) | (NULL) |
| 4 | 1002 | 9003 | 2021-09-01 12:01:01 | (NULL) | (NULL) |
| 5 | 1002 | 9001 | 2021-02-02 19:01:01 | 2021-02-02 19:30:01 | 87 |
| 6 | 1002 | 9002 | 2021-05-05 18:01:01 | 2021-05-05 18:59:02 | 90 |
| 7 | 1003 | 9002 | 2021-02-06 12:01:01 | (NULL) | (NULL) |
| 8 | 1003 | 9003 | 2021-09-07 10:01:01 | 2021-09-07 10:31:01 | 86 |
| 9 | 1004 | 9003 | 2021-09-06 12:01:01 | (NULL) | (NULL) |
数据表:examination_info(exam_id:试卷ID,tag:试卷类别,difficulty:试卷难度,duration:考试时长, release_time:发布时间),表中数据如下:
| id | exam_id | tag | difficulty | duration | release_time |
|---|---|---|---|---|---|
| 1 | 9001 | SQL | hard | 60 | 2020-01-01 10:00:00 |
| 2 | 9002 | SQL | easy | 60 | 2020-02-01 10:00:00 |
| 3 | 9003 | 算法 | medium | 80 | 2020-08-02 10:00:00 |
【问题】请从试卷答题记录表中找到 SQL 试卷得分不小于该类试卷平均得分的用户最低得分。查询结果如下:
| min_score_over_avg |
|---|
| 87 |
表结构和数据如下:
/*
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, 'SQL', 'easy', 60, '2020-02-01 10:00:00'),
(9003, '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),
(1002, 9001, '2021-09-05 19:01:01', '2021-09-05 19:40:01', 89),
(1002, 9002, '2021-09-02 12:01:01', null, null),
(1002, 9003, '2021-09-01 12:01:01', null, null),
(1002, 9001, '2021-02-02 19:01:01', '2021-02-02 19:30:01', 87),
(1002, 9002, '2021-05-05 18:01:01', '2021-05-05 18:59:02', 90),
(1003, 9002, '2021-02-06 12:01:01', null, null),
(1003, 9003, '2021-09-07 10:01:01', '2021-09-07 10:31:01', 86),
(1004, 9003, '2021-09-06 12:01:01', null, null);
*/
解答:
/*
select min(score) min_score_over_avg from exam_record where exam_id in
(select exam_id from examination_info where tag = 'SQL') and score >=
(select avg(score) min_score_over_avg from exam_record where exam_id in
(select exam_id from examination_info where tag = 'SQL'));
*/
mysql> select min(score) min_score_over_avg from exam_record where exam_id in
-> (select exam_id from examination_info where tag = 'SQL') and score >=
-> (select avg(score) min_score_over_avg from exam_record where exam_id in
-> (select exam_id from examination_info where tag = 'SQL'));
+--------------------+
| min_score_over_avg |
+--------------------+
| 87 |
+--------------------+
1 row in set (0.00 sec)
98、分组查询(1)
数据表:exam_record(uid:用户ID,exam_id:试卷ID,start_time:开始答题时间,submit_time:交卷时间,score:得分),表中数据如下:
| id | uid | exam_id | start_time | submit_time | score |
|---|---|---|---|---|---|
| 1 | 1001 | 9001 | 2021-07-02 09:01:01 | 2021-07-02 09:21:01 | 80 |
| 2 | 1002 | 9001 | 2021-09-05 19:01:01 | 2021-09-05 19:40:01 | 81 |
| 3 | 1002 | 9002 | 2021-09-02 12:01:01 | (NULL) | (NULL) |
| 4 | 1002 | 9003 | 2021-09-01 12:01:01 | (NULL) | (NULL) |
| 5 | 1002 | 9001 | 2021-07-02 19:01:01 | 2021-07-02 19:30:01 | 82 |
| 6 | 1002 | 9002 | 2021-07-05 18:01:01 | 2021-07-05 18:59:02 | 90 |
| 7 | 1003 | 9002 | 2021-07-06 12:01:01 | (NULL) | (NULL) |
| 8 | 1003 | 9003 | 2021-09-07 10:01:01 | 2021-09-07 10:31:01 | 86 |
| 9 | 1004 | 9003 | 2021-09-06 12:01:01 | (NULL) | (NULL) |
| 10 | 1002 | 9003 | 2021-09-01 12:01:01 | 2021-09-01 12:31:01 | 81 |
| 11 | 1005 | 9001 | 2021-09-01 12:01:01 | 2021-09-01 12:31:01 | 88 |
| 12 | 1006 | 9002 | 2021-09-02 12:11:01 | 2021-09-02 12:31:01 | 89 |
| 13 | 1007 | 9002 | 2020-09-02 12:11:01 | 2020-09-02 12:31:01 | 89 |
【问题】请计算 2021 年每个月试卷答题用户的月度活跃天数 active_days 和月度活跃人数 mau。查询结果如下:
| month | active_days | mau |
|---|---|---|
| 202107 | 3 | 2 |
| 202109 | 5 | 4 |
表结构和数据如下:
/*
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 exam_record(uid,exam_id,start_time,submit_time,score) VALUES
(1001, 9001, '2021-07-02 09:01:01', '2021-07-02 09:21:01', 80),
(1002, 9001, '2021-09-05 19:01:01', '2021-09-05 19:40:01', 81),
(1002, 9002, '2021-09-02 12:01:01', null, null),
(1002, 9003, '2021-09-01 12:01:01', null, null),
(1002, 9001, '2021-07-02 19:01:01', '2021-07-02 19:30:01', 82),
(1002, 9002, '2021-07-05 18:01:01', '2021-07-05 18:59:02', 90),
(1003, 9002, '2021-07-06 12:01:01', null, null),
(1003, 9003, '2021-09-07 10:01:01', '2021-09-07 10:31:01', 86),
(1004, 9003, '2021-09-06 12:01:01', null, null),
(1002, 9003, '2021-09-01 12:01:01', '2021-09-01 12:31:01', 81),
(1005, 9001, '2021-09-01 12:01:01', '2021-09-01 12:31:01', 88),
(1006, 9002, '2021-09-02 12:11:01', '2021-09-02 12:31:01', 89),
(1007, 9002, '2020-09-02 12:11:01', '2020-09-02 12:31:01', 89);
*/
解答:
/*
select concat(left(start_time,4), substr(start_time, 6, 2)) month,
count(distinct uid) active_days,
count(distinct date(submit_time)) mau
from exam_record
where year(start_time) = 2021
group by month;
*/
mysql> select concat(left(start_time,4), substr(start_time, 6, 2)) month,
-> count(distinct uid) active_days,
-> count(distinct date(submit_time)) mau
-> from exam_record
-> where year(start_time) = 2021
-> group by month;
+--------+-------------+-----+
| month | active_days | mau |
+--------+-------------+-----+
| 202107 | 3 | 2 |
| 202109 | 5 | 4 |
+--------+-------------+-----+
2 rows in set (0.00 sec)
99、分组查询(2)
数据表:practice_record,表中数据如下:
| id | uid | question_id | submit_time | score |
|---|---|---|---|---|
| 1 | 1001 | 8001 | 2021-08-02 11:41:01 | 60 |
| 2 | 1002 | 8001 | 2021-09-02 19:30:01 | 50 |
| 3 | 1002 | 8001 | 2021-09-02 19:20:01 | 70 |
| 4 | 1002 | 8002 | 2021-09-02 19:38:01 | 70 |
| 5 | 1003 | 8002 | 2021-08-01 19:38:01 | 80 |
【问题】请统计出 2021 年每个月用户的月总刷题数 month_q_cnt 和日均刷题数 avg_day_q_cnt(按月份升序排序)。查询结果如下:
| submit_month | month_q_cnt | avg_day_q_cnt |
|---|---|---|
| 202108 | 2 | 0.065 |
| 202109 | 3 | 0.100 |
表结构和数据如下:
/*
drop table if exists practice_record;
CREATE TABLE practice_record (
id int PRIMARY KEY AUTO_INCREMENT COMMENT '自增ID',
uid int NOT NULL COMMENT '用户ID',
question_id int NOT NULL COMMENT '题目ID',
submit_time datetime COMMENT '提交时间',
score tinyint COMMENT '得分'
)CHARACTER SET utf8 COLLATE utf8_general_ci;
INSERT INTO practice_record(uid,question_id,submit_time,score) VALUES
(1001, 8001, '2021-08-02 11:41:01', 60),
(1002, 8001, '2021-09-02 19:30:01', 50),
(1002, 8001, '2021-09-02 19:20:01', 70),
(1002, 8002, '2021-09-02 19:38:01', 70),
(1003, 8002, '2021-08-01 19:38:01', 80);
*/
解答:
/*
select submit_month,
count(*) month_q_cnt,
round(count(*)/day(last_day(concat(submit_month,'01'))),3) avg_day_q_cnt
from
(select *,concat(left(submit_time,4),substr(submit_time,6,2)) submit_month
from practice_record
where year(submit_time) = 2021) a
group by submit_month
order by submit_month;
*/
mysql> select submit_month,
-> count(*) month_q_cnt,
-> round(count(*)/day(last_day(concat(submit_month,'01'))),3) avg_day_q_cnt
-> from
-> (select *,concat(left(submit_time,4),substr(submit_time,6,2)) submit_month
-> from practice_record
-> where year(submit_time) = 2021) a
-> group by submit_month
-> order by submit_month;
+--------------+-------------+---------------+
| submit_month | month_q_cnt | avg_day_q_cnt |
+--------------+-------------+---------------+
| 202108 | 2 | 0.065 |
| 202109 | 3 | 0.100 |
+--------------+-------------+---------------+
2 rows in set (0.00 sec)
100、分组查询(3)
数据表:exam_record(uid:用户ID,exam_id:试卷ID,start_time:开始作答时间,submit_time:交卷时间,score:得分),表中数据如下:
| id | uid | exam_id | start_time | submit_time | score |
|---|---|---|---|---|---|
| 1 | 1001 | 9001 | 2021-07-02 09:01:01 | 2021-07-02 09:21:01 | 80 |
| 2 | 1002 | 9001 | 2021-09-05 19:01:01 | 2021-09-05 19:40:01 | 81 |
| 3 | 1002 | 9002 | 2021-09-02 12:01:01 | (NULL) | (NULL) |
| 4 | 1002 | 9003 | 2021-09-01 12:01:01 | (NULL) | (NULL) |
| 5 | 1002 | 9001 | 2021-07-02 19:01:01 | 2021-07-02 19:30:01 | 82 |
| 6 | 1002 | 9002 | 2021-07-05 18:01:01 | 2021-07-05 18:59:02 | 90 |
| 7 | 1003 | 9002 | 2021-07-06 12:01:01 | (NULL) | (NULL) |
| 8 | 1003 | 9003 | 2021-09-07 10:01:01 | 2021-09-07 10:31:01 | 86 |
| 9 | 1004 | 9003 | 2021-09-06 12:01:01 | (NULL) | (NULL) |
| 10 | 1002 | 9003 | 2021-09-01 12:01:01 | 2021-09-01 12:31:01 | 81 |
| 11 | 1005 | 9001 | 2021-09-01 12:01:01 | 2021-09-01 12:31:01 | 88 |
| 12 | 1005 | 9002 | 2021-09-01 12:01:01 | 2021-09-01 12:31:01 | 88 |
| 13 | 1006 | 9002 | 2021-09-02 12:11:01 | 2021-09-02 12:31:01 | 89 |
试卷信息表:examination_info(exam_id:试卷ID,tag:试卷类别,difficulty:试卷难度,duration:考试时长, release_time:发布时间),表中数据如下:
| id | exam_id | tag | difficulty | duration | release_time |
|---|---|---|---|---|---|
| 1 | 9001 | SQL | hard | 60 | 2020-01-01 10:00:00 |
| 2 | 9002 | SQL | easy | 60 | 2020-02-01 10:00:00 |
| 3 | 9003 | 算法 | medium | 80 | 2020-08-02 10:00:00 |
【问题】统计 2021 年每个未完成试卷作答数大于 1 的有效用户的数据(有效用户指完成试卷作答数至少为 1 且未完成数小于5),输出用户ID、未完成试卷作答数、完成试卷作答数、作答过的试卷 tag 集合,按未完成试卷数量由多到少排序。查询结果如下:
| uid | incomplete_cnt | complete_cnt | detail |
|---|---|---|---|
| 1002 | 2 | 4 | 2021-09-01:算法;2021-07-02:SQL;2021-09-02:SQL;2021-09-05:SQL;2021-07-05:SQL |
表结构和数据如下:
/*
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, 'SQL', 'easy', 60, '2020-02-01 10:00:00'),
(9003, '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, '2021-07-02 09:01:01', '2021-07-02 09:21:01', 80),
(1002, 9001, '2021-09-05 19:01:01', '2021-09-05 19:40:01', 81),
(1002, 9002, '2021-09-02 12:01:01', null, null),
(1002, 9003, '2021-09-01 12:01:01', null, null),
(1002, 9001, '2021-07-02 19:01:01', '2021-07-02 19:30:01', 82),
(1002, 9002, '2021-07-05 18:01:01', '2021-07-05 18:59:02', 90),
(1003, 9002, '2021-07-06 12:01:01', null, null),
(1003, 9003, '2021-09-07 10:01:01', '2021-09-07 10:31:01', 86),
(1004, 9003, '2021-09-06 12:01:01', null, null),
(1002, 9003, '2021-09-01 12:01:01', '2021-09-01 12:31:01', 81),
(1005, 9001, '2021-09-01 12:01:01', '2021-09-01 12:31:01', 88),
(1005, 9002, '2021-09-01 12:01:01', '2021-09-01 12:31:01', 88),
(1006, 9002, '2021-09-02 12:11:01', '2021-09-02 12:31:01', 89);
*/
解答:
/*
select e.uid,
sum(if(e.submit_time is null, 1, 0)) incomplete_cnt,
sum(if(e.submit_time is null, 0, 1))complete_cnt,
group_concat(concat(date(e.submit_time),':',if(e.submit_time is null, null, i.tag)) separator ';') detail
from exam_record e join examination_info i on e.exam_id = i.exam_id
where year(start_time) = 2021
group by e.uid
having incomplete_cnt > 1 and incomplete_cnt < 5;
*/
mysql> select e.uid,
-> sum(if(e.submit_time is null, 1, 0)) incomplete_cnt,
-> sum(if(e.submit_time is null, 0, 1))complete_cnt,
-> group_concat(concat(date(e.submit_time),':',if(e.submit_time is null, null, i.tag)) separator ';') detail
-> from exam_record e join examination_info i on e.exam_id = i.exam_id
-> where year(start_time) = 2021
-> group by e.uid
-> having incomplete_cnt > 1 and incomplete_cnt < 5;
+------+----------------+--------------+--------------------------------------------------------+
| uid | incomplete_cnt | complete_cnt | detail |
+------+----------------+--------------+--------------------------------------------------------+
| 1002 | 2 | 4 | 2021-07-02:SQL;2021-09-05:SQL;2021-07-05:SQL;2021-09-01:算法 |
+------+----------------+--------------+--------------------------------------------------------+
1 row in set (0.00 sec)