各种SQL查询技巧汇总 (转)

原文地址： https://blog.csdn.net/tim_phper/article/details/54963828

select
select * from student;

all 查询所有
select all sex from student;

distinct 过滤重复
select distinct sex from student;

count 统计
select count(*) from student;
select count(sex) from student;
select count(distinct sex) from student;

top 取前N条记录
select top 3 * from student;

alias column name 列重命名
select id as 编号, name ‘名称’, sex 性别 from student;

alias table name 表重命名
select id, name, s.id, s.name from student s;

column 列运算
select (age + id) col from student;
select s.name + ‘-’ + c.name from classes c, student s where s.cid = c.id;

where 条件
select * from student where id = 2;
select * from student where id > 7;
select * from student where id < 3;
select * from student where id <> 3;
select * from student where id >= 3;
select * from student where id <= 5;
select * from student where id !> 3;
select * from student where id !< 5;

and 并且
select * from student where id > 2 and sex = 1;

or 或者
select * from student where id = 2 or sex = 1;

between … and … 相当于并且
select * from student where id between 2 and 5;
select * from student where id not between 2 and 5;

like 模糊查询
select * from student where name like ‘%a%’;
select * from student where name like ‘%[a][o]%’;
select * from student where name not like ‘%a%’;
select * from student where name like ‘ja%’;
select * from student where name not like ‘%[j,n]%’;
select * from student where name like ‘%[j,n,a]%’;
select * from student where name like ‘%[^ja,as,on]%’;
select * from student where name like ‘%[ja_on]%’;

in 子查询
select * from student where id in (1, 2);

not in 不在其中
select * from student where id not in (1, 2);

is null 是空
select * from student where age is null;

is not null 不为空
select * from student where age is not null;

order by 排序
select * from student order by name;
select * from student order by name desc;
select * from student order by name asc;

group by 分组
按照年龄进行分组统计
select count(age), age from student group by age;
按照性别进行分组统计
select count(*), sex from student group by sex;
按照年龄和性别组合分组统计，并排序
select count(*), sex from student group by sex, age order by age;
按照性别分组，并且是id大于2的记录最后按照性别排序
select count(*), sex from student where id > 2 group by sex order by sex;
查询id大于2的数据，并完成运算后的结果进行分组和排序
select count(), (sex id) new from student where id > 2 group by sex * id order by sex * id;

group by all 所有分组
按照年龄分组，是所有的年龄
select count(*), age from student group by all age;

having 分组过滤条件
按照年龄分组，过滤年龄为空的数据，并且统计分组的条数和现实年龄信息
select count(*), age from student group by age having age is not null;

按照年龄和cid组合分组，过滤条件是cid大于1的记录 
select count(*), cid, sex from student group by cid, sex having cid > 1;

按照年龄分组，过滤条件是分组后的记录条数大于等于2 
select count(*), age from student group by age having count(age) >= 2;

按照cid和性别组合分组，过滤条件是cid大于1，cid的最大值大于2 
select count(*), cid, sex from student group by cid, sex having cid > 1 and max(cid) > 2; 
嵌套子查询

子查询是一个嵌套在select、insert、update或delete语句或其他子查询中的查询。任何允许使用表达式的地方都可以使用子查询。子查询也称为内部查询或内部选择，而包含子查询的语句也成为外部查询或外部选择。

from (select … table)示例

将一个table的查询结果当做一个新表进行查询 
select * from ( 
select id, name from student where sex = 1 
) t where t.id > 2; 
上面括号中的语句，就是子查询语句（内部查询）。在外面的是外部查询，其中外部查询可以包含以下语句： 
1、 包含常规选择列表组件的常规select查询 
2、 包含一个或多个表或视图名称的常规from语句 
3、 可选的where子句 
4、 可选的group by子句 
5、 可选的having子句 
示例

查询班级信息，统计班级学生人生 
select , (select count() from student where cid = classes.id) as num 
from classes order by num; 
in, not in子句查询示例

查询班级id大于小于的这些班级的学生信息 
select * from student where cid in ( 
select id from classes where id > 2 and id < 4 
);

查询不是班的学生信息 
select * from student where cid not in ( 
select id from classes where name = ‘2班’ 
) 
in、not in 后面的子句返回的结果必须是一列，这一列的结果将会作为查询条件对应前面的条件。如cid对应子句的id； 
exists和not exists子句查询示例

查询存在班级id为的学生信息 
select * from student where exists ( 
select * from classes where id = student.cid and id = 3 
);

查询没有分配班级的学生信息 
select * from student where not exists ( 
select * from classes where id = student.cid 
); 
exists和not exists查询需要内部查询和外部查询进行一个关联的条件，如果没有这个条件将是查询到的所有信息。如：id等于student.id； 
some、any、all子句查询示例

查询班级的学生年龄大于班级的学生的年龄的信息 
select * from student where cid = 5 and age > all ( 
select age from student where cid = 3 
);

select * from student where cid = 5 and age > any ( 
select age from student where cid = 3 
);

select * from student where cid = 5 and age > some ( 
select age from student where cid = 3 
); 
聚合查询

1、 distinct去掉重复数据 
select distinct sex from student; 
select count(sex), count(distinct sex) from student;

2、 compute和compute by汇总查询 
对年龄大于的进行汇总 
select age from student 
where age > 20 order by age compute sum(age) by age;

对年龄大于的按照性别进行分组汇总年龄信息 
select id, sex, age from student 
where age > 20 order by sex, age compute sum(age) by sex;

按照年龄分组汇总 
select age from student 
where age > 20 order by age, id compute sum(age);

按照年龄分组，年龄汇总，id找最大值 
select id, age from student 
where age > 20 order by age compute sum(age), max(id); 
compute进行汇总前面是查询的结果，后面一条结果集就是汇总的信息。compute子句中可以添加多个汇总表达式，可以添加的信息如下： 
a、 可选by关键字。它是每一列计算指定的行聚合 
b、 行聚合函数名称。包括sum、avg、min、max、count等 
c、 要对其执行聚合函数的列 
compute by适合做先分组后汇总的业务。compute by后面的列一定要是order by中出现的列。

3、 cube汇总 
cube汇总和compute效果类似，但语法较简洁，而且返回的是一个结果集。 
select count(*), sex from student group by sex with cube; 
select count(*), age, sum(age) from student where age is not null group by age with cube; 
cube要结合group by语句完成分组汇总 
排序函数

排序在很多地方需要用到，需要对查询结果进行排序并且给出序号。比如： 
1、 对某张表进行排序，序号需要递增不重复的 
2、 对学生的成绩进行排序，得出名次，名次可以并列，但名次的序号是连续递增的 
3、 在某些排序的情况下，需要跳空序号，虽然是并列 
基本语法 
排序函数 over([分组语句] 排序子句[desc][asc]) 
排序子句 order by 列名, 列名 
分组子句 partition by 分组列, 分组列 
row_number函数

根据排序子句给出递增连续序号 
按照名称排序的顺序递增 
select s.id, s.name, cid, c.name, row_number() over(order by c.name) as number 
from student s, classes c where cid = c.id; 
rank函数函数

根据排序子句给出递增的序号，但是存在并列并且跳空 
顺序递增 
select id, name, rank() over(order by cid) as rank from student;

跳过相同递增 
select s.id, s.name, cid, c.name, rank() over(order by c.name) as rank 
from student s, classes c where cid = c.id; 
dense_rank函数

根据排序子句给出递增的序号，但是存在并列不跳空 
不跳过，直接递增 
select s.id, s.name, cid, c.name, dense_rank() over(order by c.name) as dense 
from student s, classes c where cid = c.id; 
partition by分组子句

可以完成对分组的数据进行增加排序，partition by可以与以上三个函数联合使用。 
利用partition by按照班级名称分组，学生id排序 
select s.id, s.name, cid, c.name, row_number() over(partition by c.name order by s.id) as rank 
from student s, classes c where cid = c.id;

select s.id, s.name, cid, c.name, rank() over(partition by c.name order by s.id) as rank 
from student s, classes c where cid = c.id;

select s.id, s.name, cid, c.name, dense_rank() over(partition by c.name order by s.id) as rank 
from student s, classes c where cid = c.id; 
ntile平均排序函数

将要排序的数据进行平分，然后按照等分排序。ntile中的参数代表分成多少等分。 
select s.id, s.name, cid, c.name, 
ntile(5) over(order by c.name) as ntile 
from student s, classes c where cid = c.id; 
集合运算

操作两组查询结果，进行交集、并集、减集运算 
1、 union和union all进行并集运算 
–union 并集、不重复 
select id, name from student where name like ‘ja%’ 
union 
select id, name from student where id = 4;

–并集、重复 
select * from student where name like ‘ja%’ 
union all 
select * from student;

2、 intersect进行交集运算 
–交集（相同部分） 
select * from student where name like ‘ja%’ 
intersect 
select * from student;

3、 except进行减集运算 
–减集（除相同部分） 
select * from student where name like ‘ja%’ 
except 
select * from student where name like ‘jas%’; 
公式表表达式

查询表的时候，有时候中间表需要重复使用，这些子查询被重复查询调用，不但效率低，而且可读性低，不利于理解。那么公式表表达式可以解决这个问题。 
我们可以将公式表表达式（CET）视为临时结果集，在select、insert、update、delete或是create view语句的执行范围内进行定义。 
– 表达式 
with statNum(id, num) as 
( 
select cid, count(*) 
from student 
where id > 0 
group by cid 
) 
select id, num from statNum order by id;

with statNum(id, num) as 
( 
select cid, count(*) 
from student 
where id > 0 
group by cid 
) 
select max(id), avg(num) from statNum; 
连接查询

1、 简化连接查询

简化联接查询
select s.id, s.name, c.id, c.name from student s, classes c where s.cid = c.id;

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2、 left join左连接

左连接
select s.id, s.name, c.id, c.name from student s left join classes c on s.cid = c.id;

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3、 right join右连接

右连接
select s.id, s.name, c.id, c.name from student s right join classes c on s.cid = c.id;

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4、 inner join内连接

内连接
select s.id, s.name, c.id, c.name from student s inner join classes c on s.cid = c.id;

inner可以省略
select s.id, s.name, c.id, c.name from student s join classes c on s.cid = c.id;

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1、 聚合函数 
max最大值、min最小值、count统计、avg平均值、sum求和、var求方差 
select 
max(age) max_age, 
min(age) min_age, 
count(age) count_age, 
avg(age) avg_age, 
sum(age) sum_age, 
var(age) var_age 
from student;

2、 日期时间函数 
select dateAdd(day, 3, getDate());–加天 
select dateAdd(year, 3, getDate());–加年 
select dateAdd(hour, 3, getDate());–加小时 
–返回跨两个指定日期的日期边界数和时间边界数 
select dateDiff(day, ‘2011-06-20’, getDate()); 
–相差秒数 
select dateDiff(second, ‘2011-06-22 11:00:00’, getDate()); 
–相差小时数 
select dateDiff(hour, ‘2011-06-22 10:00:00’, getDate()); 
select dateName(month, getDate());–当前月份 
select dateName(minute, getDate());–当前分钟 
select dateName(weekday, getDate());–当前星期 
select datePart(month, getDate());–当前月份 
select datePart(weekday, getDate());–当前星期 
select datePart(second, getDate());–当前秒数 
select day(getDate());–返回当前日期天数 
select day(‘2011-06-30’);–返回当前日期天数 
select month(getDate());–返回当前日期月份 
select month(‘2011-11-10’); 
select year(getDate());–返回当前日期年份 
select year(‘2010-11-10’); 
select getDate();–当前系统日期 
select getUTCDate();–utc日期