《oracle查询语句2》

单行函数

SQL> select upper(first_name), lower(last_name), length(last_name) from employees;

SQL> select (sysdate-hire_date)/7 from employees;

SQL> select trunc((sysdate-hire_date)/30, 0) from employees;

SQL> select trunc(months_between(sysdate,hire_date), 0) from employees;//解决累积误差

SQL> select sysdate+3650 from dual;

SQL> select add_months(sysdate, 120) from dual;//解决累积误差

SQL> select next_day(‘2015-09-01‘, ‘friday‘) from dual; //下一个周五

SQL> select next_day(‘2015-10-01‘, 6) from dual;

SQL> select last_day(sysdate) from dual;

SQL> select round(to_date(‘2015-10-10‘,‘yyyy-mm-dd‘), ‘MONTH‘) from dual;

SQL> select round(to_date(‘2015-10-16‘,‘yyyy-mm-dd‘), ‘MONTH‘) from dual;

SQL> select round(to_date(‘2015-10-10‘,‘yyyy-mm-dd‘), ‘YEAR‘) from dual;

SQL> select round(sysdate, ‘DAY‘) from dual;

练习：

找出各月最后三天内受雇的所有雇员

extract(month from hire_date+4) != extract(month from hire_date)

找出早于25年之前受雇的雇员

months_between(sysdate, hire_date)/300>=25

显示正好为6个字符的雇员姓名

length(last_name)=6

显示所有雇员的姓名的前三个字符

substr(last_name, 1, 3)

显示所有雇员的姓名，用a替换所有‘A‘

replace(last_name, ‘A‘, ‘a‘)

类型转换和其他函数

SQL> select to_char(salary, ‘$999,999.00‘) from employees;

SQL> select last_name, to_char(hire_date, ‘dd-Mon-RR‘) from employees;

SQL> select to_char(sysdate, ‘yyyy-mm-dd hh24:mi:ss‘) from dual;

SQL> select to_char(sysdate, ‘yyyy-mm-dd hh:mi:ss AM‘) from dual;

SQL> select last_name from employees where hire_date=to_date(‘2006-05-23‘, ‘yyyy-mm-dd‘);

SQL> select to_number(‘$123,456.78‘, ‘$999,999.00‘) from dual;

练习：

查询2006年入职员工：

select last_name

from employees

where hire_date between to_date(‘2006-01-01‘, ‘yyyy-mm-dd‘)

and to_date(‘2006-12-31‘, ‘yyyy-mm-dd‘);

select last_name

from employees

where to_char(hire_date, ‘yyyy‘)=‘2006‘;

select last_name

from employees

where extract(year from hire_date)=2006;

--不推荐

select last_name

from employees

where hire_date like ‘2006%‘;

查询历年9月份入职的员工：

select last_name

from employees

where to_char(hire_date, ‘mm‘)=‘09‘;

select last_name

from employees

where extract(month from hire_date)=9;

其他函数：

nvl：

nvl(val1, val2)

if val1 is not null

then

return val1;

else

return val2;

SQL> select last_name, salary*12*(1+nvl(commission_pct, 0)) total_salary from employees;

练习：

显示所有员工部门编号，没有部门的显示“未分配部门”

case和decode：

IT_PROG +1000

SA_REP +1500

ST_CLERK +2000

其他人工资不变

select salary+1000 from employees where job_id=‘IT_PROG‘;

select last_name, job_id, salary,

case job_id

when ‘IT_PROG‘ then salary+1000

when ‘SA_REP‘ then salary+1500

when ‘ST_CLERK‘ then salary+2000

else salary

end new_salary

from employees;

select last_name, job_id, salary,

decode( job_id,

‘IT_PROG‘, salary+1000,

‘SA_REP‘, salary+1500,

‘ST_CLERK‘, salary+2000,

salary) new_salary

from employees;

练习：

按照员工工资，对员工分级显示：

A 20001-25000

B 15001-20000

C 10001-15000

D 5001-10000

E 0-5000

分组函数

只有 count(*):对行做统计，对空值保留做统计，其他都是将空值去掉后做统计

Avg：对非空值取平均值

Nvl：将空值赋予值为0，在做统计

Group by分组做统计时，不会将空值舍去

Select 中只会出现分组列，分组函数

SQL> select count(*), sum(salary), avg(salary), minsalary), max(salary) from employees;

SQL> create table t1(x int);

SQL> insert into t1 values (null);

SQL> insert into t1 values (1);

SQL> commit;

SQL> select count(*) from t1;

SQL> select count(x) from t1;

SQL> select max(x) from t1;

SQL> select min(x) from t1;

SQL> select sum(x) from t1;

SQL> select avg(x) from t1;

SQL> select avg(salary), avg(nvl(commission_pct, 0)) from employees; 对空值赋值为0做统计

SQL> select count(distinct department_id) from employees; 去除重复值做统计

Group by分组：

SQL> select department_id, avg(salary) from employees group by department_id;

多列分组：

SQL> select department_id, job_id, max(salary) from employees group by department_id, job_id;

SQL> select department_id, job_id, max(salary), last_name from employees group by department_id, job_id; 错误语法

练习：

公司中不同职位的数量

SQL> select count(distinct job_id) from employee

计算每个部门的人数

SQL> select department_id, count(employee_id) from employees group by department_id;

=SQL> select department_id, count(last_name) from employees group by department_id;

按年份分组，求员工的工资总和

SQL> select extract(year from hire_date), sum(salary) from employees group by extract(year from hire_date); //将年份抽取出来

Having语句：相当于group by之后的where

SQL> select department_id, avg(salary) from employees where avg(salary)>=5000 group by department_id; 错误语句

SQL> select department_id, avg(salary) from employees group by department_id having avg(salary)>=5000;

练习：

按部门求出所有有部门的普通员工的平均工资，部门平均工资少于5000的不显示，最终结果按平均工资的降序排列。

select department_id, avg(salary) avg_sal

from employees

where job_id not like ‘%\_MGR‘ escape ‘\‘ and department_id is not null

group by department_id

having avg(salary)>=5000

order by avg_sal desc;

多表连接

emp： dept:

empno ename deptno deptno dname

100 abc 10 10 sales

101 def 10 20 market

102 xyz 20 30 it

103 opq null

for emp in 100 .. 103

for dept in 10 .. 30

emp.deptno=dept.deptno

100 abc 10 10 sales

101 def 10 10 sales

102 xyz 20 20 market

订单表:

CustID StoreID ProdID ChannelID

100 S100 P100 C100

客户表：

CustID name creditlevel

100 abc

地址表：

CustID adress

100 bj

100 tj

获取如下信息，准备工作：

employees:

员工总数：107

SQL> select count(*) from employees;

有部门的员工数：106

SQL> select count(*) from employees where department_id is not null;

SQL> select count(department_id) from employees;

没有部门的员工数：1

SQL> select count(*) from employees where department_id is null;

departments：

部门总数：27

SQL> select count(*) from departments;

有员工的部门数：11

SQL> select count(distinct department_id) from employees;

没有员工的部门数：16

SQL> select count(*) from departments where department_id not in (select department_id from employees where department_id is not null);

for dept in 1..27

for emp in 1..107

dept.deptid不在emp表中出现

where e.department_id(+)=d.department_id

select count(*)

from employees e, departments d

and e.employee_id is null;

select count(*)

from departments d

where not exists

(select 1 from employees where department_id=d.department_id);

select (select count(*) from departments)-(select count(distinct department_id) from employees) from dual;

内连接：106(106, 11)