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

  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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