我总是遵循这个模式。给定这个表格:

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

你可以得到这样的结果:

+------+------+------------+
|    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 |
+------+------+------------+

通过运行这个不需要定义任何变量的查询:

SELECT a.i, a.j, count(*) as row_number FROM test a
JOIN test b ON a.i = b.i AND a.j >= b.j
GROUP BY a.i, a.j

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。

如果查询有GROUP BY语句，使用交叉连接和逗号的解决方案将不起作用。对于这种情况，您可以使用subselect:

SELECT (@row_number := @row_number + 1) AS rowNumber, res.*
FROM
(
  SELECT SUM(r.amount) 
  FROM Results r 
  WHERE username = 1 
  GROUP BY r.amount
) res
CROSS JOIN (SELECT @row_number := 0) AS dummy

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。

MySQL从8.0+版本开始支持ROW_NUMBER()。

如果使用MySQL 8.0或更高版本，请检查ROW_NUMBER()函数。 否则，您将使用模拟ROW_NUMBER()函数。

row_number()是一个排序函数，返回一行的顺序编号，第一行从1开始。

对于旧版本，

SELECT t.*, 
       @rowid := @rowid + 1 AS ROWID
  FROM TABLE t, 
       (SELECT @rowid := 0) dummy;

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