[英]Mysql / Select / MAX() / GROUP BY
Here the structure of the database (reduced):这里的数据库结构(缩减):
CREATE TABLE IF NOT EXISTS `TK_servers` (
`id` int(11),
`server_id` varchar(11) ,
`worker_id` varchar(20) ,
`date_ins` datetime ,
`avg` varchar(10)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 ;
INSERT INTO `TK_servers` (`id`, `server_id`, `worker_id`, `date_ins`, `avg`)
VALUES
(108253, 12, 'srva', '2014-04-10 12:00:31', ''),
(108250, 31, 'srva', '2014-04-10 12:00:31', '2.337'),
(108249, 19, 'srva', '2014-04-10 12:00:31', '5.883'),
(108248, 10, 'srva', '2014-04-10 12:00:31', '8.813'),
(108223, 12, 'srvb', '2014-04-10 12:00:22', ''),
(108220, 31, 'srvb', '2014-04-10 12:00:22', '31.183'),
(108219, 19, 'srvb', '2014-04-10 12:00:22', '34.412'),
(108218, 10, 'srvb', '2014-04-10 12:00:22', '36.724'),
(108193, 12, 'srva', '2014-04-10 11:55:31', ''),
(108190, 31, 'srva', '2014-04-10 11:55:31', '2.500'),
(108189, 19, 'srva', '2014-04-10 11:55:31', '5.835'),
(108188, 10, 'srva', '2014-04-10 11:55:31', '8.883'),
(108163, 12, 'srvb', '2014-04-10 11:55:23', ''),
(108160, 31, 'srvb', '2014-04-10 11:55:23', '30.766'),
(108159, 19, 'srvb', '2014-04-10 11:55:23', '42.801'),
(108158, 10, 'srvb', '2014-04-10 11:55:23', '37.093'),
(108133, 12, 'srva', '2014-04-10 11:50:31', ''),
(108130, 31, 'srva', '2014-04-10 11:50:31', '2.538'),
(108129, 19, 'srva', '2014-04-10 11:50:31', '5.397'),
(108128, 10, 'srva', '2014-04-10 11:50:31', '8.737'),
(108103, 12, 'srvb', '2014-04-10 11:50:22', ''),
(108099, 31, 'srvb', '2014-04-10 11:50:22', '30.948'),
(108098, 19, 'srvb', '2014-04-10 11:50:22', '34.279'),
(108097, 10, 'srvb', '2014-04-10 11:50:22', '36.418'),
(108073, 12, 'srva', '2014-04-10 11:45:32', ''),
(108070, 31, 'srva', '2014-04-10 11:45:32', '2.502'),
(108069, 19, 'srva', '2014-04-10 11:45:32', '5.568'),
(108068, 10, 'srva', '2014-04-10 11:45:32', '9.202'),
(108043, 12, 'srvb', '2014-04-10 11:45:22', ''),
(108041, 19, 'srvb', '2014-04-10 11:45:22', '46.626'),
(108039, 31, 'srvb', '2014-04-10 11:45:22', '30.827'),
(108038, 10, 'srvb', '2014-04-10 11:45:22', '37.197'),
(108013, 12, 'srva', '2014-04-10 11:40:32', ''),
(108010, 31, 'srva', '2014-04-10 11:40:32', '2.604'),
(108009, 19, 'srva', '2014-04-10 11:40:32', '5.252'),
(108008, 10, 'srva', '2014-04-10 11:40:32', '8.816'),
(107983, 12, 'srvb', '2014-04-10 11:40:22', ''),
(107980, 31, 'srvb', '2014-04-10 11:40:22', '31.632'),
(107979, 19, 'srvb', '2014-04-10 11:40:22', '43.913'),
(107978, 10, 'srvb', '2014-04-10 11:40:22', '36.796'),
(107953, 12, 'srva', '2014-04-10 11:35:32', ''),
(107950, 31, 'srva', '2014-04-10 11:35:32', '2.369'),
(107949, 19, 'srva', '2014-04-10 11:35:32', '5.876'),
(107948, 10, 'srva', '2014-04-10 11:35:32', '8.721'),
(107923, 12, 'srvb', '2014-04-10 11:35:23', ''),
(107920, 31, 'srvb', '2014-04-10 11:35:23', '31.595'),
(107919, 19, 'srvb', '2014-04-10 11:35:23', '45.858'),
(107918, 10, 'srvb', '2014-04-10 11:35:23', '36.661'),
(107893, 12, 'srva', '2014-04-10 11:30:31', ''),
(107890, 31, 'srva', '2014-04-10 11:30:31', '2.508'),
(107889, 19, 'srva', '2014-04-10 11:30:31', '6.308'),
(107888, 10, 'srva', '2014-04-10 11:30:31', '38.151'),
(107863, 12, 'srvb', '2014-04-10 11:30:23', ''),
(107860, 31, 'srvb', '2014-04-10 11:30:23', '31.162'),
(107859, 19, 'srvb', '2014-04-10 11:30:23', '34.515'),
(107858, 10, 'srvb', '2014-04-10 11:30:23', '36.720'),
(107833, 12, 'srva', '2014-04-10 11:25:31', ''),
(107830, 31, 'srva', '2014-04-10 11:25:31', '2.722'),
(107829, 19, 'srva', '2014-04-10 11:25:31', '5.965'),
(107828, 10, 'srva', '2014-04-10 11:25:31', '8.642'),
(107803, 12, 'srvb', '2014-04-10 11:25:23', ''),
(107799, 31, 'srvb', '2014-04-10 11:25:23', '31.525'),
(107798, 19, 'srvb', '2014-04-10 11:25:23', '34.465'),
(107797, 10, 'srvb', '2014-04-10 11:25:23', '36.893'),
(107773, 12, 'srva', '2014-04-10 11:20:30', ''),
(107770, 31, 'srva', '2014-04-10 11:20:30', '2.373'),
(107769, 19, 'srva', '2014-04-10 11:20:30', '5.206'),
(107768, 10, 'srva', '2014-04-10 11:20:30', '8.749'),
(107743, 12, 'srvb', '2014-04-10 11:20:23', ''),
(107740, 31, 'srvb', '2014-04-10 11:20:23', '31.053'),
(107739, 19, 'srvb', '2014-04-10 11:20:23', '35.096'),
(107738, 10, 'srvb', '2014-04-10 11:20:23', '36.680'),
(107713, 12, 'srva', '2014-04-10 11:15:31', ''),
(107710, 31, 'srva', '2014-04-10 11:15:31', '2.489'),
(107709, 19, 'srva', '2014-04-10 11:15:31', '6.519'),
(107708, 10, 'srva', '2014-04-10 11:15:31', '15.279'),
(107683, 12, 'srvb', '2014-04-10 11:15:23', ''),
(107680, 31, 'srvb', '2014-04-10 11:15:23', '31.236'),
(107679, 19, 'srvb', '2014-04-10 11:15:23', '34.834'),
(107678, 10, 'srvb', '2014-04-10 11:15:23', '37.294'),
(107653, 12, 'srva', '2014-04-10 11:10:31', ''),
(107650, 31, 'srva', '2014-04-10 11:10:31', '2.561'),
(107649, 19, 'srva', '2014-04-10 11:10:31', '5.446'),
(107648, 10, 'srva', '2014-04-10 11:10:31', '8.763'),
(107623, 12, 'srvb', '2014-04-10 11:10:22', ''),
(107620, 31, 'srvb', '2014-04-10 11:10:22', '30.716'),
(107619, 19, 'srvb', '2014-04-10 11:10:22', '34.679'),
(107618, 10, 'srvb', '2014-04-10 11:10:22', '36.854'),
(107593, 12, 'srva', '2014-04-10 11:05:32', ''),
(107590, 31, 'srva', '2014-04-10 11:05:32', '2.355'),
(107589, 19, 'srva', '2014-04-10 11:05:32', '5.720'),
(107588, 10, 'srva', '2014-04-10 11:05:32', '10.779'),
(107563, 12, 'srvb', '2014-04-10 11:05:22', ''),
(107560, 31, 'srvb', '2014-04-10 11:05:22', '31.217'),
(107559, 19, 'srvb', '2014-04-10 11:05:22', '35.360'),
(107558, 10, 'srvb', '2014-04-10 11:05:22', '37.079'),
(107533, 12, 'srva', '2014-04-10 11:00:32', ''),
(107530, 31, 'srva', '2014-04-10 11:00:32', '2.526'),
(107529, 19, 'srva', '2014-04-10 11:00:32', '5.949'),
(107528, 10, 'srva', '2014-04-10 11:00:32', '8.691');
I want to list the MAX (avg) corresponding to worker_id.我想列出worker_id对应的MAX(平均)。
SELECT * FROM `TK_servers`
JOIN (SELECT max(`avg`), (`id`) id FROM `TK_servers`
WHERE `server_id` = '31'
GROUP BY LEFT(date_ins,16) )
t2 ON t2.id = `TK_servers`.`id`
Result :结果 :
ID SERVER_ID WORKER_ID DATE_INS AVG MAX(`AVG`)
108250 31 srva April, 10 2014 12:00:31+0000 2.337 31.183
108190 31 srva April, 10 2014 11:55:31+0000 2.500 30.766
108130 31 srva April, 10 2014 11:50:31+0000 2.538 30.948
108070 31 srva April, 10 2014 11:45:32+0000 2.502 30.827
......
error the max(avg) is worker_id srvb错误 max(avg) 是 worker_id srvb
Compare and contrast...比较和对比...
SELECT * FROM tk_servers ORDER BY avg DESC LIMIT 1;
+--------+-----------+-----------+---------------------+-------+
| id | server_id | worker_id | date_ins | avg |
+--------+-----------+-----------+---------------------+-------+
| 108068 | 10 | srva | 2014-04-10 11:45:32 | 9.202 |
+--------+-----------+-----------+---------------------+-------+
SELECT * FROM tk_servers ORDER BY avg+0 DESC LIMIT 1;
+--------+-----------+-----------+---------------------+--------+
| id | server_id | worker_id | date_ins | avg |
+--------+-----------+-----------+---------------------+--------+
| 108041 | 19 | srvb | 2014-04-10 11:45:22 | 46.626 |
+--------+-----------+-----------+---------------------+--------+
So, hopefully this underlines the importance of using the correct data types.因此,希望这强调了使用正确数据类型的重要性。 In this case, it should be DECIMAL(6,3) NULL, not VARCHAR!
在这种情况下,它应该是 DECIMAL(6,3) NULL,而不是 VARCHAR!
the problem is your avgerage column is in varchar
you should must change.问题是您的平均列在
varchar
您必须更改。
and then use the code like:然后使用如下代码:
select id, server_id, worker_id, date_ins ,max(avg) from tk_servers
http://sqlfiddle.com/#!2/4d3529/32 http://sqlfiddle.com/#!2/4d3529/32
SELECT *
FROM `TK_servers`
JOIN
(
SELECT
max(`avg`),
(`id`) id
FROM `TK_servers`
WHERE `server_id` = '31'
GROUP BY LEFT(date_ins,16)
)t2
ON t2.id = `TK_servers`.`id`
LIMIT 1;
Change the data type of AVG field from varchar to double and then try to fetch the MAX(AVG) it will work.将 AVG 字段的数据类型从 varchar 更改为 double,然后尝试获取 MAX(AVG) 它将起作用。
Hope the avg is making the problem希望平均值是问题所在
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