MYSQL - 按限制分组

Question

有没有一种简单的方法可以将 GROUP BY 结果限制在前 2 位。以下查询返回所有结果。使用“LIMIT 2”将整个列表减少到仅前 2 个条目。

select distinct(rating_name), 
       id_markets, 
       sum(rating_good) 'good', 
       sum(rating_neutral)'neutral', 
       sum(rating_bad) 'bad' 
 from ratings 
 where rating_year=year(curdate()) and rating_week= week(curdate(),1)
 group by rating_name,id_markets
 order by rating_name, sum(rating_good) 
 desc

结果如下:-

poland  78 48 24 12   <- keeppoland   1 15  5  0   <- keeppoland  23 12  6  3poland   2  5  0  0poland   3  0  5  0poland   4  0  0  5ireland  1  9  3  0   <- keepireland  2  3  0  0   <- keepireland  3  0  3  0ireland  4  0  0  3france  12 24 12  6   <- keepfrance   1  3  1  0   <- keepfrance 231  1  0  0france   2  1  0  0france   4  0  0  1france   3  0  1  0

谢谢乔恩

---

根据要求，我附上了表格结构和一些测试数据的副本。我的目标是创建一个 View ，其中包含来自每个唯一 rating_name 的前 2 个结果

CREATE TABLE `zzratings` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `id_markets` int(11) DEFAULT NULL,
  `id_account` int(11) DEFAULT NULL,
  `id_users` int(11) DEFAULT NULL,
  `dateTime` timestamp NULL DEFAULT CURRENT_TIMESTAMP,
  `rating_good` int(11) DEFAULT NULL,
  `rating_neutral` int(11) DEFAULT NULL,
  `rating_bad` int(11) DEFAULT NULL,
  `rating_name` varchar(32) DEFAULT NULL,
  `rating_year` smallint(4) DEFAULT NULL,
  `rating_week` tinyint(4) DEFAULT NULL,
  `cash_balance` decimal(9,6) DEFAULT NULL,
  `cash_spend` decimal(9,6) DEFAULT NULL,
  PRIMARY KEY (`id`),
  KEY `rating_year` (`rating_year`),
  KEY `rating_week` (`rating_week`),
  KEY `rating_name` (`rating_name`)
) ENGINE=MyISAM AUTO_INCREMENT=2166690 DEFAULT CHARSET=latin1;

INSERT INTO `zzratings` (`id`,`id_markets`,`id_account`,`id_users`,`dateTime`,`rating_good`,`rating_neutral`,`rating_bad`,`rating_name`,`rating_year`,`rating_week`,`cash_balance`,`cash_spend`)
VALUES
    (63741, 1, NULL, 100, NULL, 1, NULL, NULL, 'poland', 2010, 15, NULL, NULL),
    (63742, 1, NULL, 101, NULL, 1, NULL, NULL, 'poland', 2010, 15, NULL, NULL),
    (1, 2, NULL, 102, NULL, 1, NULL, NULL, 'poland', 2010, 15, NULL, NULL),
    (63743, 3, NULL, 103, NULL, NULL, 1, NULL, 'poland', 2010, 15, NULL, NULL),
    (63744, 4, NULL, 104, NULL, NULL, NULL, 1, 'poland', 2010, 15, NULL, NULL),
    (63745, 1, NULL, 105, NULL, 1, NULL, NULL, 'poland', 2010, 15, NULL, NULL),
    (63746, 1, NULL, 106, NULL, NULL, 1, NULL, 'poland', 2010, 15, NULL, NULL),
    (63747, 5, NULL, 100, NULL, 1, NULL, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63748, 5, NULL, 101, NULL, 1, NULL, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63749, 2, NULL, 102, NULL, 1, NULL, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63750, 3, NULL, 103, NULL, NULL, 1, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63751, 4, NULL, 104, NULL, NULL, NULL, 1, 'ireland', 2010, 15, NULL, NULL),
    (63752, 1, NULL, 105, NULL, 1, NULL, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63753, 1, NULL, 106, NULL, NULL, 1, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63754, 1, NULL, 100, NULL, 1, NULL, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63755, 1, NULL, 101, NULL, 1, NULL, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63756, 2, NULL, 102, NULL, 1, NULL, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63757, 34, NULL, 103, NULL, NULL, 1, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63758, 34, NULL, 104, NULL, NULL, NULL, 1, 'ireland', 2010, 15, NULL, NULL),
    (63759, 34, NULL, 105, NULL, 1, NULL, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63760, 34, NULL, 106, NULL, NULL, 1, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63761, 21, NULL, 100, NULL, 1, NULL, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63762, 21, NULL, 101, NULL, 1, NULL, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63763, 21, NULL, 102, NULL, 1, NULL, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63764, 21, NULL, 103, NULL, NULL, 1, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63765, 4, NULL, 104, NULL, NULL, NULL, 1, 'ireland', 2010, 15, NULL, NULL),
    (63766, 1, NULL, 105, NULL, 1, NULL, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63767, 1, NULL, 106, NULL, NULL, 1, NULL, 'ireland', 2010, 15, NULL, NULL),
    (63768, 1, NULL, 100, NULL, 1, NULL, NULL, 'france', 2010, 15, NULL, NULL),
    (63769, 1, NULL, 101, NULL, 1, NULL, NULL, 'france', 2010, 15, NULL, NULL),
    (63770, 2, NULL, 102, NULL, 1, NULL, NULL, 'france', 2010, 15, NULL, NULL),
    (63771, 3, NULL, 103, NULL, NULL, 1, NULL, 'france', 2010, 15, NULL, NULL),
    (63772, 4, NULL, 104, NULL, NULL, NULL, 1, 'france', 2010, 15, NULL, NULL);

Answer 1

我认为MySQL 中没有简单的方法。一种方法是为按 rating_name 分组的每一行生成一个行号，然后只选择 row_number 等于或小于 2 的行。在大多数数据库中，您可以使用类似的东西来做到这一点:

SELECT * FROM (
    SELECT
        rating_name,
        etc...,
        ROW_NUMBER() OVER (PARTITION BY rating_name ORDER BY good) AS rn
    FROM your_table
) T1
WHERE rn <= 2

不幸的是，MySQL 不支持 ROW_NUMBER 语法。但是，您可以使用变量模拟 ROW_NUMBER:

SELECT
    rating_name, id_markets, good, neutral, bad
FROM (
    SELECT
        *,
        @rn := CASE WHEN @prev_rating_name = rating_name THEN @rn + 1 ELSE 1 END AS rn,
        @prev_rating_name := rating_name
    FROM (
        SELECT
            rating_name,
            id_markets,
            SUM(COALESCE(rating_good, 0)) AS good,
            SUM(COALESCE(rating_neutral, 0)) AS neutral,
            SUM(COALESCE(rating_bad, 0)) AS bad
        FROM zzratings
        WHERE rating_year = YEAR(CURDATE()) AND rating_week = WEEK(CURDATE(), 1)
        GROUP BY rating_name, id_markets
    ) AS T1, (SELECT @prev_rating_name := '', @rn := 0) AS vars
    ORDER BY rating_name, good DESC
) AS T2
WHERE rn <= 2
ORDER BY rating_name, good DESC

在您的测试数据上运行时的结果:

france    1  2  0  0france    2  1  0  0ireland   1  4  2  0ireland  21  3  1  0poland    1  3  1  0poland    2  1  0  0