不，你不能任意地限制子查询(你可以在较新的mysql中有限地这样做，但不能每组5个结果)。

这是一个分组最大类型查询，在SQL中执行起来并不简单。在某些情况下，有很多更有效的方法来解决这个问题，但对于一般的top-n，你会想看看Bill对前面一个类似问题的答案。

与此问题的大多数解决方案一样，如果有多行具有相同的速率值，它可以返回超过5行，因此您可能仍然需要大量的后处理来检查这一点。

下面的post: sql:每组选择前N条记录描述了在没有子查询的情况下实现这一目标的复杂方法。

它改进了这里提供的其他解决方案:

在单个查询中执行所有操作 能够正确地利用索引 避免子查询，众所周知，在MySQL中会产生糟糕的执行计划

然而，它并不漂亮。如果在MySQL中启用窗口函数(又名分析函数)，就可以实现一个很好的解决方案——但它们没有。 文章中使用的技巧利用了GROUP_CONCAT，它有时被描述为“穷人的MySQL窗口函数”。

这需要一系列子查询对值进行排序、限制，然后在分组时执行求和

@Rnk:=0;
@N:=2;
select
  c.id,
  sum(c.val)
from (
select
  b.id,
  b.bal
from (
select   
  if(@last_id=id,@Rnk+1,1) as Rnk,
  a.id,
  a.val,
  @last_id=id,
from (   
select 
  id,
  val 
from list
order by id,val desc) as a) as b
where b.rnk < @N) as c
group by c.id;

SELECT year, id, rate
FROM (SELECT
  year, id, rate, row_number() over (partition by id order by rate DESC)
  FROM h
  WHERE year BETWEEN 2000 AND 2009
  AND id IN (SELECT rid FROM table2)
  GROUP BY id, year
  ORDER BY id, rate DESC) as subquery
WHERE row_number <= 5

子查询与您的查询几乎相同。只有改变是增加

row_number() over (partition by id order by rate DESC)

对于那些像我一样有查询超时的人。我做了下面的限制和任何其他由特定的组。

DELIMITER $$
CREATE PROCEDURE count_limit200()
BEGIN
    DECLARE a INT Default 0;
    DECLARE stop_loop INT Default 0;
    DECLARE domain_val VARCHAR(250);
    DECLARE domain_list CURSOR FOR SELECT DISTINCT domain FROM db.one;

    OPEN domain_list;

    SELECT COUNT(DISTINCT(domain)) INTO stop_loop 
    FROM db.one;
    -- BEGIN LOOP
    loop_thru_domains: LOOP
        FETCH domain_list INTO domain_val;
        SET a=a+1;

        INSERT INTO db.two(book,artist,title,title_count,last_updated) 
        SELECT * FROM 
        (
            SELECT book,artist,title,COUNT(ObjectKey) AS titleCount, NOW() 
            FROM db.one 
            WHERE book = domain_val
            GROUP BY artist,title
            ORDER BY book,titleCount DESC
            LIMIT 200
        ) a ON DUPLICATE KEY UPDATE title_count = titleCount, last_updated = NOW();

        IF a = stop_loop THEN
            LEAVE loop_thru_domain;
        END IF;
    END LOOP loop_thru_domain;
END $$

它循环遍历一个域列表，然后每个域只插入200个限制

试试这个:

SELECT h.year, h.id, h.rate 
FROM (SELECT h.year, h.id, h.rate, IF(@lastid = (@lastid:=h.id), @index:=@index+1, @index:=0) indx 
      FROM (SELECT h.year, h.id, h.rate 
            FROM h
            WHERE h.year BETWEEN 2000 AND 2009 AND id IN (SELECT rid FROM table2)
            GROUP BY id, h.year
            ORDER BY id, rate DESC
            ) h, (SELECT @lastid:='', @index:=0) AS a
    ) h 
WHERE h.indx <= 5;

你可以使用GROUP_CONCAT聚合函数将所有年份放到一个列中，按id分组，按速率排序:

SELECT   id, GROUP_CONCAT(year ORDER BY rate DESC) grouped_year
FROM     yourtable
GROUP BY id

结果:

-----------------------------------------------------------
|  ID | GROUPED_YEAR                                      |
-----------------------------------------------------------
| p01 | 2006,2003,2008,2001,2007,2009,2002,2004,2005,2000 |
| p02 | 2001,2004,2002,2003,2000,2006,2007                |
-----------------------------------------------------------

然后你可以使用FIND_IN_SET，它返回第一个参数在第二个参数中的位置，例如。

SELECT FIND_IN_SET('2006', '2006,2003,2008,2001,2007,2009,2002,2004,2005,2000');
1

SELECT FIND_IN_SET('2009', '2006,2003,2008,2001,2007,2009,2002,2004,2005,2000');
6

使用GROUP_CONCAT和FIND_IN_SET的组合，并通过FIND_IN_SET返回的位置进行过滤，然后您可以使用这个查询，它只返回每个id的前5年:

SELECT
  yourtable.*
FROM
  yourtable INNER JOIN (
    SELECT
      id,
      GROUP_CONCAT(year ORDER BY rate DESC) grouped_year
    FROM
      yourtable
    GROUP BY id) group_max
  ON yourtable.id = group_max.id
     AND FIND_IN_SET(year, grouped_year) BETWEEN 1 AND 5
ORDER BY
  yourtable.id, yourtable.year DESC;

请看这里的小提琴。

请注意，如果多个行可以具有相同的速率，则应该考虑在速率列上使用GROUP_CONCAT(DISTINCT速率ORDER BY速率)，而不是在年列上使用GROUP_CONCAT。

GROUP_CONCAT返回的字符串的最大长度是有限的，因此如果您需要为每个组选择一些记录，那么这种方法可以很好地工作。

对我来说

SUBSTRING_INDEX(group_concat(col_name order by desired_col_order_name), ',', N) 

完美的工作。没有复杂的查询。

例如:每组取top 1

SELECT 
    *
FROM
    yourtable
WHERE
    id IN (SELECT 
            SUBSTRING_INDEX(GROUP_CONCAT(id
                            ORDER BY rate DESC),
                        ',',
                        1) id
        FROM
            yourtable
        GROUP BY year)
ORDER BY rate DESC;

试试这个:

SET @num := 0, @type := '';
SELECT `year`, `id`, `rate`,
    @num := if(@type = `id`, @num + 1, 1) AS `row_number`,
    @type := `id` AS `dummy`
FROM (
    SELECT *
    FROM `h`
    WHERE (
        `year` BETWEEN '2000' AND '2009'
        AND `id` IN (SELECT `rid` FROM `table2`) AS `temp_rid`
    )
    ORDER BY `id`
) AS `temph`
GROUP BY `year`, `id`, `rate`
HAVING `row_number`<='5'
ORDER BY `id`, `rate DESC;

你想找出每个组的前n行。这个答案使用与OP不同的示例数据提供了一个通用的解决方案。

在MySQL 8或更高版本中，您可以根据top 5的确切定义使用ROW_NUMBER, RANK或DENSE_RANK函数。下面是这些函数根据值降序排序生成的数字。注意领带是如何处理的:

一旦你选择了函数，就像这样使用它:

SELECT *
FROM (
    SELECT *, ROW_NUMBER() OVER (PARTITION BY id ORDER BY value DESC) AS n
    FROM t
) AS x
WHERE n <= 5

DB < >小提琴

在MySQL 5。X，你可以使用穷人的排名超过分区，以达到预期的结果:外部连接表本身和每一行，计算它之前的行数(例如，前一行可以是一个较高的值)。

下面将产生类似RANK函数的结果:

SELECT t.pkid, t.catid, t.value, COUNT(b.value) + 1 AS rank
FROM t
LEFT JOIN t AS b ON b.catid = t.catid AND b.value > t.value
GROUP BY t.pkid, t.catid, t.value
HAVING COUNT(b.value) + 1 <= 5
ORDER BY t.catid, t.value DESC, t.pkid

进行以下更改以产生与DENSE_RANK函数类似的结果:

COUNT(DISTINCT b.value)

或进行以下更改，以产生类似于ROW_NUMBER函数的结果:

ON b.catid = t.catid AND (b.value > t.value OR b.value = t.value AND b.pkid < t.pkid)

DB < >小提琴

构建虚拟列(如Oracle中的RowID)

表:

CREATE TABLE `stack` 
(`year` int(11) DEFAULT NULL,
`id` varchar(10) DEFAULT NULL,
`rate` float DEFAULT NULL) 
ENGINE=InnoDB DEFAULT CHARSET=utf8mb4

数据:

insert into stack values(2006,'p01',8);
insert into stack values(2001,'p01',5.9);
insert into stack values(2007,'p01',5.3);
insert into stack values(2009,'p01',4.4);
insert into stack values(2001,'p02',12.5);
insert into stack values(2004,'p02',12.4);
insert into stack values(2005,'p01',2.1);
insert into stack values(2000,'p01',0.8);
insert into stack values(2002,'p02',12.2);
insert into stack values(2002,'p01',3.9);
insert into stack values(2004,'p01',3.5);
insert into stack values(2003,'p02',10.3);
insert into stack values(2000,'p02',8.7);
insert into stack values(2006,'p02',4.6);
insert into stack values(2007,'p02',3.3);
insert into stack values(2003,'p01',7.4);
insert into stack values(2008,'p01',6.8);

SQL是这样的:

select t3.year,t3.id,t3.rate 
from (select t1.*, (select count(*) from stack t2 where t1.rate<=t2.rate and t1.id=t2.id) as rownum from stack t1) t3 
where rownum <=3 order by id,rate DESC;

如果删除t3中的where子句，则如下所示:

GET "TOP N Record"——>在where子句(t3的where子句)中添加rownum <=3;

选择“年份”——>在where子句中增加BETWEEN 2000 AND 2009 (t3的where子句);

请尝试下面的存储过程。我已经核实了。我得到正确的结果，但没有使用groupby。

CREATE DEFINER=`ks_root`@`%` PROCEDURE `first_five_record_per_id`()
BEGIN
DECLARE query_string text;
DECLARE datasource1 varchar(24);
DECLARE done INT DEFAULT 0;
DECLARE tenants varchar(50);
DECLARE cur1 CURSOR FOR SELECT rid FROM demo1;
DECLARE CONTINUE HANDLER FOR NOT FOUND SET done = 1;

    SET @query_string='';

      OPEN cur1;
      read_loop: LOOP

      FETCH cur1 INTO tenants ;

      IF done THEN
        LEAVE read_loop;
      END IF;

      SET @datasource1 = tenants;
      SET @query_string = concat(@query_string,'(select * from demo  where `id` = ''',@datasource1,''' order by rate desc LIMIT 5) UNION ALL ');

       END LOOP; 
      close cur1;

    SET @query_string  = TRIM(TRAILING 'UNION ALL' FROM TRIM(@query_string));  
  select @query_string;
PREPARE stmt FROM @query_string;
EXECUTE stmt;
DEALLOCATE PREPARE stmt;

END

花了一些工作，但我认为我的解决方案将是一些分享，因为它看起来很优雅，以及相当快。

SELECT h.year, h.id, h.rate 
  FROM (
    SELECT id, 
      SUBSTRING_INDEX(GROUP_CONCAT(CONCAT(id, '-', year) ORDER BY rate DESC), ',' , 5) AS l
      FROM h
      WHERE year BETWEEN 2000 AND 2009
      GROUP BY id
      ORDER BY id
  ) AS h_temp
    LEFT JOIN h ON h.id = h_temp.id 
      AND SUBSTRING_INDEX(h_temp.l, CONCAT(h.id, '-', h.year), 1) != h_temp.l

请注意，这个示例是为问题的目的而指定的，可以很容易地修改以用于其他类似的目的。

我刚刚为MYSQL创建了一个top操作。代码很简单。

drop table if exists h;
create table h(id varchar(5), year int, rate numeric(8,2), primary key(id,year));
insert into h(year, id, rate) values
(2006,'p01',8),
(2003,'p01',7.4),
(2008,'p01',6.8),
(2001,'p01',5.9),
(2007,'p01',5.3),
(2009,'p01',4.4),
(2002,'p01',3.9),
(2004,'p01',3.5),
(2005,'p01',2.1),
(2000,'p01',0.8),
(2001,'p02',12.5),
(2004,'p02',12.4),
(2002,'p02',12.2),
(2003,'p02',10.3),
(2000,'p02',8.7),
(2006,'p02',4.6),
(2007,'p02',3.3);

select id, year, rate
from 
(
    select id, year, rate, @last, if(@last=id,@top:=@top+1, @top:=0) as ztop, @last:=id update_last
    from h
    order by id, rate desc, year desc
) t2
where ztop<5