当我们有一个以上的列时，这个工作完美地为我创建RowNumber。这里是两列。

SELECT @row_num := IF(@prev_value= concat(`Fk_Business_Unit_Code`,`NetIQ_Job_Code`), @row_num+1, 1) AS RowNumber, 
    `Fk_Business_Unit_Code`,   
    `NetIQ_Job_Code`,  
    `Supervisor_Name`,  
    @prev_value := concat(`Fk_Business_Unit_Code`,`NetIQ_Job_Code`)  
FROM (SELECT DISTINCT `Fk_Business_Unit_Code`,`NetIQ_Job_Code`,`Supervisor_Name`         
      FROM Employee    
      ORDER BY `Fk_Business_Unit_Code`, `NetIQ_Job_Code`, `Supervisor_Name` DESC) z,  
(SELECT @row_num := 1) x,  
(SELECT @prev_value := '') y  
ORDER BY `Fk_Business_Unit_Code`, `NetIQ_Job_Code`,`Supervisor_Name` DESC

查询mysql中的row_number

set @row_number=0;
select (@row_number := @row_number +1) as num,id,name from sbs

MySQL中没有排名功能。最接近的方法是使用变量:

SELECT t.*, 
       @rownum := @rownum + 1 AS rank
  FROM YOUR_TABLE t, 
       (SELECT @rownum := 0) r

那么在我的案例中这是如何起作用的呢?我需要两个变量，分别代表col1和col2?当col1改变时，Col2需要以某种方式重置…?

是的。如果它是Oracle，您可以使用LEAD函数在下一个值处达到峰值。值得庆幸的是，Quassnoi涵盖了在MySQL中需要实现的逻辑。

我发现最好的解决方案是使用这样的子查询:

SELECT 
    col1, col2, 
    (
        SELECT COUNT(*) 
        FROM Table1
        WHERE col1 = t1.col1
        AND col2 = t1.col2
        AND col3 > t1.col3
    ) AS intRow
FROM Table1 t1

分区BY列只是用'='进行比较，并用and分隔。ORDER BY列将与'<'或'>'进行比较，并以or分隔。

我发现这是非常灵活的，即使它有点昂贵。

有点晚了，但也可能对那些寻找答案的人有帮助……

Between rows/row_number示例-可以在任何SQL中使用的递归查询:

WITH data(row_num, some_val) AS 
(
 SELECT 1 row_num, 1 some_val FROM any_table --dual in Oracle
  UNION ALL
 SELECT row_num+1, some_val+row_num FROM data WHERE row_num < 20 -- any number
)
SELECT * FROM data
 WHERE row_num BETWEEN 5 AND 10
/

ROW_NUM    SOME_VAL
-------------------
5           11
6           16
7           22
8           29
9           37
10          46

我也会投票给Mosty Mostacho的解决方案，对他的查询代码进行了轻微的修改:

SELECT a.i, a.j, (
    SELECT count(*) from test b where a.j >= b.j AND a.i = b.i
) AS row_number FROM test a

会得到相同的结果:

+------+------+------------+
|    i |    j | row_number |
+------+------+------------+
|    1 |   11 |          1 |
|    1 |   12 |          2 |
|    1 |   13 |          3 |
|    2 |   21 |          1 |
|    2 |   22 |          2 |
|    2 |   23 |          3 |
|    3 |   31 |          1 |
|    3 |   32 |          2 |
|    3 |   33 |          3 |
|    4 |   14 |          1 |
+------+------+------------+

对于表格:

+------+------+
|    i |    j |
+------+------+
|    1 |   11 |
|    1 |   12 |
|    1 |   13 |
|    2 |   21 |
|    2 |   22 |
|    2 |   23 |
|    3 |   31 |
|    3 |   32 |
|    3 |   33 |
|    4 |   14 |
+------+------+

唯一的区别是查询不使用JOIN和GROUP BY，而是依赖于嵌套选择。