
sql:
select
*
from
user_profile;

sql:
select
device_id,
gender,
age,
university
from
user_profile

sql:
select
distinct university
from
user_profile
方法二:
SELECT university
FROM user_profile
GROUP BY university

sql:
select
device_id
from
user_profile
limit
2

sql:
select
device_id as 'user_infos_example'
from
user_profile
where
id between 1 and 2

sql:
select
device_id,
university
from
user_profile
where
university = '北京大学'
方法二:
select
device_id,
university
from
user_profile
where
university = '北京大学'
and device_id = user_profile.device_id; # 索引覆盖

sql:
select
device_id,
age
from
user_profile
order by
age

sql:
select
device_id,
gpa,
age
from
user_profile
order by
gpa,
age

sql:
select
device_id,
gpa,
age
from
user_profile
order by
gpa desc,
age desc

sql:
select
device_id,
gender,
age,
university
from
user_profile
where
age > 24

sql:
select
device_id,
gender,
age
from
user_profile
where
age between 20 and 23

sql:
select
device_id,
gender,
age,
university
from
user_profile
where
university not in ('复旦大学')
或者:
select
device_id,
gender,
age,
university
from
user_profile
where
university != ('复旦大学')

sql:
select
device_id,
gender,
age,
university
from
user_profile
where
age is NOT NULL

sql:
select
device_id,
gender,
age,
university,
gpa
from
user_profile
where
gpa > 3.5
and gender = 'male'

sql:
select
device_id,
gender,
age,
university,
gpa
from
user_profile
where
university = '北京大学'
or gpa > 3.7

sql:
select
device_id,
gender,
age,
university,
gpa
from
user_profile
where
university in ('北京大学', '复旦大学', '山东大学')

sql:
select
device_id,
gender,
age,
university,
gpa
from
user_profile
where
gpa > 3.5
and university = '山东大学'
or gpa > 3.8
and university = '复旦大学'

sql:
select
device_id,
age,
university
from
user_profile
where
university like '北京%'

sql:
select
gpa
from
user_profile
where
university = '复旦大学'
order by
gpa desc # 降序
limit
1 # 限制输出
或者:
select
max(gpa)
from
user_profile
where
university = '复旦大学'

sql:
select
count(gender) as male_num,
avg(gpa) as avg_gpa
from
user_profile
where
gender = 'male'


sql:
select
gender,
university,
count(device_id) as user_num,
avg(active_days_within_30) as avg_active_days,
avg(question_cnt) as avg_question_cnt
from
user_profile
group by
gender,
university
题目:现在运营想查看每个学校用户的平均发贴和回帖情况,寻找低活跃度学校进行重点运营,请取出平均发贴数低于5的学校或平均回帖数小于20的学校。
sql:
#聚合函数结果作为筛选条件时,不能用where,而是用having语法,配合重命名即可;
select
university,
avg(question_cnt) as avg_question_cnt,
avg(answer_cnt) as avg_answer_cnt
from user_profile
group by university
having avg_question_cnt<5 or avg_answer_cnt<20



sql:
select
university,
avg(question_cnt) as avg_question_cnt
from
user_profile
group by
university
order by
avg_question_cnt
单表查询你已经基本的知识会了,恭喜入门!本篇题目都很简单,如果平均每个题你能在一分钟内完成就算基本掌握了。