我有一个球员表现的表格:

CREATE TABLE TopTen (
  id INT UNSIGNED PRIMARY KEY AUTO_INCREMENT,
  home INT UNSIGNED NOT NULL,
  `datetime`DATETIME NOT NULL,
  player VARCHAR(6) NOT NULL,
  resource INT NOT NULL
);

哪个查询将为每个不同的家庭返回包含其datetime最大值的行?换句话说,我如何通过最大datetime(按home分组)进行过滤,并在结果中仍然包括其他非分组、非聚合列(例如player) ?

对于这个示例数据:

INSERT INTO TopTen
  (id, home, `datetime`, player, resource)
VALUES
  (1, 10, '04/03/2009', 'john', 399),
  (2, 11, '04/03/2009', 'juliet', 244),
  (5, 12, '04/03/2009', 'borat', 555),
  (3, 10, '03/03/2009', 'john', 300),
  (4, 11, '03/03/2009', 'juliet', 200),
  (6, 12, '03/03/2009', 'borat', 500),
  (7, 13, '24/12/2008', 'borat', 600),
  (8, 13, '01/01/2009', 'borat', 700)
;

结果应该是:

id home datetime player resource
1 10 04/03/2009 john 399
2 11 04/03/2009 juliet 244
5 12 04/03/2009 borat 555
8 13 01/01/2009 borat 700

我尝试了一个子查询获得每个家庭的最大日期时间:

-- 1 ..by the MySQL manual: 

SELECT DISTINCT
  home,
  id,
  datetime AS dt,
  player,
  resource
FROM TopTen t1
WHERE `datetime` = (SELECT
  MAX(t2.datetime)
FROM TopTen t2
GROUP BY home)
GROUP BY `datetime`
ORDER BY `datetime` DESC

结果集有130行,但数据库有187行,这表明结果包括home的一些副本。

然后我尝试连接到一个子查询,为每个行id获得最大日期时间:

-- 2 ..join

SELECT
  s1.id,
  s1.home,
  s1.datetime,
  s1.player,
  s1.resource
FROM TopTen s1
JOIN (SELECT
  id,
  MAX(`datetime`) AS dt
FROM TopTen
GROUP BY id) AS s2
  ON s1.id = s2.id
ORDER BY `datetime`

没有。给出所有的记录。

我尝试了各种奇特的查询,每一个都有不同的结果,但没有一个能让我更接近解决这个问题。


当前回答

试试这个SQL Server:

WITH cte AS (
   SELECT home, MAX(year) AS year FROM Table1 GROUP BY home
)
SELECT * FROM Table1 a INNER JOIN cte ON a.home = cte.home AND a.year = cte.year

其他回答

下面是MySQL版本,它只打印一个组中有重复MAX(datetime)的条目。

你可以在这里测试http://www.sqlfiddle.com/#!2/0a4ae / 1

样本数据

mysql> SELECT * from topten;
+------+------+---------------------+--------+----------+
| id   | home | datetime            | player | resource |
+------+------+---------------------+--------+----------+
|    1 |   10 | 2009-04-03 00:00:00 | john   |      399 |
|    2 |   11 | 2009-04-03 00:00:00 | juliet |      244 |
|    3 |   10 | 2009-03-03 00:00:00 | john   |      300 |
|    4 |   11 | 2009-03-03 00:00:00 | juliet |      200 |
|    5 |   12 | 2009-04-03 00:00:00 | borat  |      555 |
|    6 |   12 | 2009-03-03 00:00:00 | borat  |      500 |
|    7 |   13 | 2008-12-24 00:00:00 | borat  |      600 |
|    8 |   13 | 2009-01-01 00:00:00 | borat  |      700 |
|    9 |   10 | 2009-04-03 00:00:00 | borat  |      700 |
|   10 |   11 | 2009-04-03 00:00:00 | borat  |      700 |
|   12 |   12 | 2009-04-03 00:00:00 | borat  |      700 |
+------+------+---------------------+--------+----------+

带有User变量的MySQL版本

SELECT *
FROM (
    SELECT ord.*,
        IF (@prev_home = ord.home, 0, 1) AS is_first_appear,
        @prev_home := ord.home
    FROM (
        SELECT t1.id, t1.home, t1.player, t1.resource
        FROM topten t1
        INNER JOIN (
            SELECT home, MAX(datetime) AS mx_dt
            FROM topten
            GROUP BY home
          ) x ON t1.home = x.home AND t1.datetime = x.mx_dt
        ORDER BY home
    ) ord, (SELECT @prev_home := 0, @seq := 0) init
) y
WHERE is_first_appear = 1;
+------+------+--------+----------+-----------------+------------------------+
| id   | home | player | resource | is_first_appear | @prev_home := ord.home |
+------+------+--------+----------+-----------------+------------------------+
|    9 |   10 | borat  |      700 |               1 |                     10 |
|   10 |   11 | borat  |      700 |               1 |                     11 |
|   12 |   12 | borat  |      700 |               1 |                     12 |
|    8 |   13 | borat  |      700 |               1 |                     13 |
+------+------+--------+----------+-----------------+------------------------+
4 rows in set (0.00 sec)

接受答案

SELECT tt.*
FROM topten tt
INNER JOIN
    (
    SELECT home, MAX(datetime) AS MaxDateTime
    FROM topten
    GROUP BY home
) groupedtt ON tt.home = groupedtt.home AND tt.datetime = groupedtt.MaxDateTime
+------+------+---------------------+--------+----------+
| id   | home | datetime            | player | resource |
+------+------+---------------------+--------+----------+
|    1 |   10 | 2009-04-03 00:00:00 | john   |      399 |
|    2 |   11 | 2009-04-03 00:00:00 | juliet |      244 |
|    5 |   12 | 2009-04-03 00:00:00 | borat  |      555 |
|    8 |   13 | 2009-01-01 00:00:00 | borat  |      700 |
|    9 |   10 | 2009-04-03 00:00:00 | borat  |      700 |
|   10 |   11 | 2009-04-03 00:00:00 | borat  |      700 |
|   12 |   12 | 2009-04-03 00:00:00 | borat  |      700 |
+------+------+---------------------+--------+----------+
7 rows in set (0.00 sec)

@ michael接受的答案在大多数情况下都很好,但它失败了,如下所示。

在这种情况下,如果有2行具有HomeID和Datetime相同的查询将返回这两行,而不是不同的HomeID,在查询中添加distinct如下所示。

SELECT DISTINCT tt.home  , tt.MaxDateTime
FROM topten tt
INNER JOIN
    (SELECT home, MAX(datetime) AS MaxDateTime
    FROM topten
    GROUP BY home) groupedtt 
ON tt.home = groupedtt.home 
AND tt.datetime = groupedtt.MaxDateTime

下面是T-SQL版本:

-- Test data
DECLARE @TestTable TABLE (id INT, home INT, date DATETIME, 
  player VARCHAR(20), resource INT)
INSERT INTO @TestTable
SELECT 1, 10, '2009-03-04', 'john', 399 UNION
SELECT 2, 11, '2009-03-04', 'juliet', 244 UNION
SELECT 5, 12, '2009-03-04', 'borat', 555 UNION
SELECT 3, 10, '2009-03-03', 'john', 300 UNION
SELECT 4, 11, '2009-03-03', 'juliet', 200 UNION
SELECT 6, 12, '2009-03-03', 'borat', 500 UNION
SELECT 7, 13, '2008-12-24', 'borat', 600 UNION
SELECT 8, 13, '2009-01-01', 'borat', 700

-- Answer
SELECT id, home, date, player, resource 
FROM (SELECT id, home, date, player, resource, 
    RANK() OVER (PARTITION BY home ORDER BY date DESC) N
    FROM @TestTable
)M WHERE N = 1

-- and if you really want only home with max date
SELECT T.id, T.home, T.date, T.player, T.resource 
    FROM @TestTable T
INNER JOIN 
(   SELECT TI.id, TI.home, TI.date, 
        RANK() OVER (PARTITION BY TI.home ORDER BY TI.date) N
    FROM @TestTable TI
    WHERE TI.date IN (SELECT MAX(TM.date) FROM @TestTable TM)
)TJ ON TJ.N = 1 AND T.id = TJ.id

编辑 不幸的是,MySQL中没有RANK() OVER函数。 但它可以被模拟,见模拟分析(AKA排名)函数与MySQL。 这是MySQL版本:

SELECT id, home, date, player, resource 
FROM TestTable AS t1 
WHERE 
    (SELECT COUNT(*) 
            FROM TestTable AS t2 
            WHERE t2.home = t1.home AND t2.date > t1.date
    ) = 0

这适用于Oracle:

with table_max as(
  select id
       , home
       , datetime
       , player
       , resource
       , max(home) over (partition by home) maxhome
    from table  
)
select id
     , home
     , datetime
     , player
     , resource
  from table_max
 where home = maxhome

您也可以尝试这种方法,对于大型表,查询性能会更好。当每个家庭的记录不超过两个且日期不同时,它就能工作。更好的通用MySQL查询是上面Michael La Voie提出的。

SELECT t1.id, t1.home, t1.date, t1.player, t1.resource
FROM   t_scores_1 t1 
INNER JOIN t_scores_1 t2
   ON t1.home = t2.home
WHERE t1.date > t2.date

或者在Postgres或那些提供分析函数的dbs的情况下尝试

SELECT t.* FROM 
(SELECT t1.id, t1.home, t1.date, t1.player, t1.resource
  , row_number() over (partition by t1.home order by t1.date desc) rw
 FROM   topten t1 
 INNER JOIN topten t2
   ON t1.home = t2.home
 WHERE t1.date > t2.date 
) t
WHERE t.rw = 1