用MySQL计算中位数最简单(希望不会太慢)的方法是什么?我已经使用AVG(x)来寻找平均值，但我很难找到一个简单的方法来计算中位数。现在，我将所有的行返回到PHP，进行排序，然后选择中间的行，但是肯定有一些简单的方法可以在一个MySQL查询中完成它。
示例数据:
id | val
--------
1 4
2 7
3 2
4 2
5 9
6 8
7 3
对val排序得到2 2 3 4 7 8 9，因此中位数应该是4，而SELECT AVG(val) == 5。
当前回答
一个简单的方法来计算中位数在MySQL
set @ct := (select count(1) from station);
set @row := 0;
select avg(a.val) as median from
(select * from table order by val) a
where (select @row := @row + 1)
between @ct/2.0 and @ct/2.0 +1;
其他回答
你也可以选择在存储过程中这样做:
DROP PROCEDURE IF EXISTS median;
DELIMITER //
CREATE PROCEDURE median (table_name VARCHAR(255), column_name VARCHAR(255), where_clause VARCHAR(255))
BEGIN
-- Set default parameters
IF where_clause IS NULL OR where_clause = '' THEN
SET where_clause = 1;
END IF;
-- Prepare statement
SET @sql = CONCAT(
"SELECT AVG(middle_values) AS 'median' FROM (
SELECT t1.", column_name, " AS 'middle_values' FROM
(
SELECT @row:=@row+1 as `row`, x.", column_name, "
FROM ", table_name," AS x, (SELECT @row:=0) AS r
WHERE ", where_clause, " ORDER BY x.", column_name, "
) AS t1,
(
SELECT COUNT(*) as 'count'
FROM ", table_name, " x
WHERE ", where_clause, "
) AS t2
-- the following condition will return 1 record for odd number sets, or 2 records for even number sets.
WHERE t1.row >= t2.count/2
AND t1.row <= ((t2.count/2)+1)) AS t3
");
-- Execute statement
PREPARE stmt FROM @sql;
EXECUTE stmt;
END//
DELIMITER ;
-- Sample usage:
-- median(table_name, column_name, where_condition);
CALL median('products', 'price', NULL);
我发现接受的解决方案在我的MySQL安装上不起作用，返回一个空集，但这个查询在我测试的所有情况下都适用:
SELECT x.val from data x, data y
GROUP BY x.val
HAVING SUM(SIGN(1-SIGN(y.val-x.val)))/COUNT(*) > .5
LIMIT 1
你可以使用这里的用户定义函数。
我有一个包含大约10亿行的数据库，我们需要它来确定集合中的年龄中位数。对十亿行进行排序是困难的，但如果你将可以找到的不同值(年龄范围从0到100)聚合在一起，你可以对这个列表进行排序，并使用一些算术魔术来找到你想要的任何百分位数，如下所示:
with rawData(count_value) as
(
select p.YEAR_OF_BIRTH
from dbo.PERSON p
),
overallStats (avg_value, stdev_value, min_value, max_value, total) as
(
select avg(1.0 * count_value) as avg_value,
stdev(count_value) as stdev_value,
min(count_value) as min_value,
max(count_value) as max_value,
count(*) as total
from rawData
),
aggData (count_value, total, accumulated) as
(
select count_value,
count(*) as total,
SUM(count(*)) OVER (ORDER BY count_value ROWS UNBOUNDED PRECEDING) as accumulated
FROM rawData
group by count_value
)
select o.total as count_value,
o.min_value,
o.max_value,
o.avg_value,
o.stdev_value,
MIN(case when d.accumulated >= .50 * o.total then count_value else o.max_value end) as median_value,
MIN(case when d.accumulated >= .10 * o.total then count_value else o.max_value end) as p10_value,
MIN(case when d.accumulated >= .25 * o.total then count_value else o.max_value end) as p25_value,
MIN(case when d.accumulated >= .75 * o.total then count_value else o.max_value end) as p75_value,
MIN(case when d.accumulated >= .90 * o.total then count_value else o.max_value end) as p90_value
from aggData d
cross apply overallStats o
GROUP BY o.total, o.min_value, o.max_value, o.avg_value, o.stdev_value
;
这个查询取决于你的db支持窗口函数(包括ROWS UNBOUNDED precede)，但如果你没有，这是一个简单的事情，将aggData CTE与自身连接，并将所有先前的总数聚合到' cumulative '列，用于确定哪个值包含指定的预分词。上面的示例计算p10、p25、p50(中位数)、p75和p90。
屁股的
在阅读了所有之前的内容后，它们与我的实际需求不匹配，所以我实现了自己的一个不需要任何过程或复杂的语句，只是我GROUP_CONCAT所有来自我想要获得MEDIAN的列的值，并应用COUNT DIV BY 2，我从列表中间提取值，就像下面的查询一样:
(POS是我想要获得其中位数的列的名称)
(query) SELECT
SUBSTRING_INDEX (
SUBSTRING_INDEX (
GROUP_CONCAT(pos ORDER BY CAST(pos AS SIGNED INTEGER) desc SEPARATOR ';')
, ';', COUNT(*)/2 )
, ';', -1 ) AS `pos_med`
FROM table_name
GROUP BY any_criterial
我希望这能对一些人有用，就像这个网站上的许多其他评论对我一样。
