MySQL:计算按列分组的值的中值

MySQL: Calculating Median of Values grouped by a Column

我有以下 table:

+------------+-------+
| SchoolName | Marks |
+------------+-------+
| A          |    71 |
| A          |    71 |
| A          |    71 |
| B          |   254 |
| B          |   135 |
| B          |   453 |
| B          |   153 |
| C          |   453 |
| C          |   344 |
| C          |   223 |
| B          |   453 |
| D          |   300 |
| D          |   167 |
+------------+-------+

这里是按学校名称分组的平均分数:

+------------+------------+
| SchoolName | avg(Marks) |
+------------+------------+
| A          |    71.0000 |
| B          |   289.6000 |
| C          |   340.0000 |
| D          |   233.5000 |
+------------+------------+

https://www.db-fiddle.com/f/5t7N3Vx8FSQmwUJgKLqjfK/9

然而,我想计算按学校名称分组的分数的中位数,而不是平均值。

我正在使用,

SELECT AVG(dd.Marks) as median_val
FROM (
SELECT d.Marks, @rownum:=@rownum+1 as `row_number`, @total_rows:=@rownum
  FROM tablename d, (SELECT @rownum:=0) r
  WHERE d.Marks is NOT NULL
  ORDER BY d.Marks
) as dd
WHERE dd.row_number IN ( FLOOR((@total_rows+1)/2), FLOOR((@total_rows+2)/2) );

计算整个 Marks 列的平均值,但我不知道如何分别为每个学校计算。

您的查询使用用户变量计算行号,这使得处理分区更加复杂。由于您使用的是 MySQL 8.0,我建议您改用 window 函数。

这应该会让您接近您的预期:

select 
    SchoolName, 
    avg(Marks) as median_val
from (
select 
    SchoolName,
    Marks, 
    row_number() over(partition by SchoolName order by Marks) rn,
    count(*) over(partition by SchoolName) cnt
  from tablename
) as dd
where rn in ( FLOOR((cnt + 1) / 2), FLOOR( (cnt + 2) / 2) )
group by SchoolName

算法保持不变,但我们在具有相同 SchoolName 的记录组中使用 window 函数(而不是初始查询中的全局分区)。然后,外部查询通过 SchoolName.

进行过滤和聚合

your DB Fiddlde中,这个returns:

| SchoolName | median_val |
| ---------- | ---------- |
| A          | 71         |
| B          | 254        |
| C          | 344        |
| D          | 233.5      |