Oracle 中的sql函数以及分页

 

SELECT LPAD('Page 1',15,'*.') "LPAD example"  FROM DUAL;

 

 

1.分页查询

   (1)方法一:使用  between  and 来实现分页

      

select * from 
(
  select emp.*,rownum rn from emp
)
where rn between 4 and 6

  (2)方法二:使用 rownum 来实现分页
 

select * from 
(
  select emp.*,rownum rn from emp
  where rownum<=6
)
where rn>=4

 (3)方法三:使用rownum 三层来实现分页

select * from 
(
  select emp.*,rownum rn  from
  (
    select * from emp
  )emp
  where rownum<=6
)
where rn >=4

得到的结果如下:

2.分析函数

  (1)rank()   :rank()函数返回一个唯一的值,当遇到相同的数据时,所有相同数据的排名是一样的,

                      同时会在最后一条相同记录和下一条不同记录之间空出排名。  

select ename,deptno,sal,
rank() over(partition by deptno order by sal desc) "RANK"
--dense_rank() over(partition by deptno order by sal desc)"dense_rank"
--row_number() over(partition by deptno order by sal desc)"row_number"
from emp

结果:

  (2)dense_rank()  :dense_rank()函数返回一个唯一的值,当遇到相同数据时,所有相同的数据的排名都是一样的。

 

select ename,deptno,sal,
--rank() over(partition by deptno order by sal desc) "RANK"
dense_rank() over(partition by deptno order by sal desc)"dense_rank"
--row_number() over(partition by deptno order by sal desc)"row_number"
from emp

  (3)row_number():row_number()函数返回一个唯一的值,当遇到相同数据时,排名按照记录集中记录的顺序依次递增。

 

select ename,deptno,sal,
--rank() over(partition by deptno order by sal desc) "RANK"
--dense_rank() over(partition by deptno order by sal desc)"dense_rank"
row_number() over(partition by deptno order by sal desc)"row_number"
from emp

 (4)合并结果:

select ename,deptno,sal,
rank() over(partition by deptno order by sal desc) "RANK",
dense_rank() over(partition by deptno order by sal desc)"dense_rank",
row_number() over(partition by deptno order by sal desc)"row_number"
from emp

3.SQL函数

  (1)字符函数

        1.大小写控制函数

            lower():全部小写

SELECT LOWER('MR. SCOTT MCMILLAN') "Lowercase"  FROM DUAL;

             upper():全部大写

SELECT UPPER('abc') "Uppercase"   FROM dual;

            initcap():首字母大写

SELECT initcap('MR. SCOTT MCMILLAN') "initcap"  FROM DUAL;

     2.字符控制函数

       concat:拼接字符串

select concat('Happy','Boy') from dual;

        substr:截取字符串   

        substr('要截取的字符串',起始位置)   说明:位置从1开始
          

select substr('HappyBoy',4) from dual;

         substr('要截取的字符,起始位置,取几个字符)

select substr('HappyBoy',2,3) from dual;

          length('字符串'):字符个数统计
        lengthb('字符串'):字节个数统计

select length('快乐') 字符数,lengthb('快乐') as 字节数 from dual;

      instr('大字符串','小字符串')返回小字符串在大字符串中出现的位置

SELECT INSTR('CORPORATE FLOOR','OR', 3, 2) "Instring"  FROM DUAL;

       lpad()和rpad()

SELECT LPAD('Page 1',15,'*.') "LPAD example"  FROM DUAL;

SELECT ename, RPAD(' ', sal/1000/1, '*') "Salary"   FROM emp   WHERE deptno=20   ORDER BY ename, "Salary";

       trim()
     

select trim('a' from 'ahappy') from dual;

 (2)日期函数

      1.日期函数

       months_between()两个日期相差的月数

SELECT MONTHS_BETWEEN (TO_DATE('02-02-1995','MM-DD-YYYY'),TO_DATE('01-01-1995','MM-DD-YYYY') ) "Months"  FROM DUAL;
 

        add_months():向指定日期中加上若干月数

SELECT TO_CHAR(ADD_MONTHS(hiredate, 1), 'DD-MON-YYYY') "Next month"  FROM emp   WHERE ename = 'JONES';

       2.日期相减

   两个日期相差的天数

select floor(sysdate-to_date('2015-12-12','yyyy-MM-dd')) from dual;

两个日期相差的月数

select months_between(sysdate,to_date('20151212','yyyyMMdd')) from dual;

(3)转换函数
       1.隐式转换

select * from emp where hiredate='17-12月-80';

  

      2.显式转换

       to_char()对日期的转换

select to_char(sysdate,'yyyy-MM-dd hh24:mi:ss') from dual;

to_char()对数字的转换

select to_char(sal,'L9999.99') from emp;

(4)数字函数

       1.round():四舍五入

select round(12.45,1) from dual;

       2.trunc

SELECT TRUNC(TO_DATE('2015-12-12','yyyy-MM-dd'), 'YEAR')  "New Year" FROM DUAL;

 

select trunc(15.71,1) "trunc" from dual;

(5)通用函数

       1.nvl()滤空函数

SELECT SAL*12 工资,comm 奖金,sal*12+nvl(comm,0) from emp;

         2.nvl2()滤空函数

SELECT SAL*12 工资,comm 奖金,sal*12+nvl2(comm,comm,0) from emp;

      3.不用滤空函数

SELECT SAL*12 工资,comm 奖金,sal*12 from emp;

(6)decode函数

SELECT product_id,       
DECODE (warehouse_id, 
1, 'Southlake', 2, 'San Francisco', 3, 'New Jersey', 4, 'Seattle', 'Non domestic') "Location" FROM inventories WHERE product_id < 1775 ORDER BY product_id, "Location";

 

 

 

 

 

 

 

 

 

 

 

 

        

 

posted @ 2017-01-07 16:26  刘二雄  阅读(2697)  评论(0编辑  收藏  举报