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MYSQL-实现ORACLE- row_number() over(partition by ) 分组排序功能.

  IT168技术文档由于MYSQL没有提供类似ORACLE中OVER()这样丰富的分析函数. 所以在MYSQL里需要实现这样的功能,我们只能用一些灵活的办法:

  1.首先我们来创建实例数据:

  drop table if exists heyf_t10;

  create table heyf_t10 (empid int ,deptid int ,salary decimal(10,2) );

  insert into heyf_t10 values

  (1,10,5500.00),

  (2,10,4500.00),

  (3,20,1900.00),

  (4,20,4800.00),

  (5,40,6500.00),

  (6,40,14500.00),

  (7,40,44500.00),

  (8,50,6500.00),

  (9,50,7500.00);

  2. 确定需求: 根据部门来分组,显示各员工在部门里按薪水排名名次.

  显示结果预期如下:

  +-------+--------+----------+------+

  | empid | deptid | salary | rank |

  +-------+--------+----------+------+

  | 1 | 10 | 5500.00 | 1 |

  | 2 | 10 | 4500.00 | 2 |

  | 4 | 20 | 4800.00 | 1 |

  | 3 | 20 | 1900.00 | 2 |

  | 7 | 40 | 44500.00 | 1 |

  | 6 | 40 | 14500.00 | 2 |

  | 5 | 40 | 6500.00 | 3 |

  | 9 | 50 | 7500.00 | 1 |

  | 8 | 50 | 6500.00 | 2 |

  +-------+--------+----------+------+

  3. SQL 实现

  select empid,deptid,salary,rank from (

  select heyf_tmp.empid,heyf_tmp.deptid,heyf_tmp.salary,@rownum:=@rownum+1 ,

  if(@pdept=heyf_tmp.deptid,@rank:=@rank+1,@rank:=1) as rank,

  @pdept:=heyf_tmp.deptid

  from (

  select empid,deptid,salary from heyf_t10 order by deptid asc ,salary desc

  ) heyf_tmp ,(select @rownum :=0 , @pdept := null ,@rank:=0) a ) result

  ;

  4. 结果演示

  mysql> select empid,deptid,salary,rank from (

  -> select heyf_tmp.empid,heyf_tmp.deptid,heyf_tmp.salary,@rownum:=@rownum+1 ,

  -> if(@pdept=heyf_tmp.deptid,@rank:=@rank+1,@rank:=1) as rank,

  -> @pdept:=heyf_tmp.deptid

  -> from (

  -> select empid,deptid,salary from heyf_t10 order by deptid asc ,salary desc

  -> ) heyf_tmp ,(select @rownum :=0 , @pdept := null ,@rank:=0) a ) result

  -> ;

  +-------+--------+----------+------+

  | empid | deptid | salary | rank |

  +-------+--------+----------+------+

  | 1 | 10 | 5500.00 | 1 |

  | 2 | 10 | 4500.00 | 2 |

  | 4 | 20 | 4800.00 | 1 |

  | 3 | 20 | 1900.00 | 2 |

  | 7 | 40 | 44500.00 | 1 |

  | 6 | 40 | 14500.00 | 2 |

  | 5 | 40 | 6500.00 | 3 |

  | 9 | 50 | 7500.00 | 1 |

  | 8 | 50 | 6500.00 | 2 |

  +-------+--------+----------+------+

  9 rows in set (0.00 sec)

  5.小结

  此SQL正是利用了MYSQL的灵活以及用户变量的调用. 希望大家可以通过此例举一反三.写出更多更精彩的SQL.

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