正如我在标题中所述,具有以下架构:
CREATE TABLE IF NOT EXISTS `services` (
`id` int(6) unsigned NOT NULL,
`description` varchar(200) NOT NULL,
PRIMARY KEY (`id`)
) DEFAULT CHARSET=utf8;
INSERT INTO `services` (`id`, `description`) VALUES
('1', 'Water flood from kitchen'),
('2', 'Light switch burnt');
CREATE TABLE IF NOT EXISTS `visits` (
`id` int(6) unsigned NOT NULL,
`date` DATETIME NOT NULL,
`description` varchar(200) NOT NULL,
`worker` varchar(200) NOT NULL,
`services_id` int(6) NOT NULL,
PRIMARY KEY (`id`)
) DEFAULT CHARSET=utf8;
INSERT INTO `visits` (`id`, `date`, `description`, `worker`, `services_id`) VALUES
('1', '2018-12-10 16:00:00', 'Find and stop leak', 'Thomas', '1'),
('2', '2018-12-11 09:00:00', 'Change broken pipe', 'Bob', '1'),
('3', '2018-12-10 19:00:00', 'Change light switch', 'Alfred', '2'),
('4', '2018-12-11 10:00:00', 'Paint wall blackened by shortcircuit', 'Ryan', '2');
对于每种服务,我都需要按日期进行最近的访问。
在此示例中,我将得到:
'1', '2018-12-10 16:00:00', 'Find and stop leak', 'Thomas', '1'
'3', '2018-12-10 19:00:00', 'Change light switch', 'Alfred', '2'
你会怎么做?我正在努力寻求解决方案。
这是SQLFiddle:
答案 0 :(得分:2)
我建议一个相关的子查询:
select v.*
from visits v
where v.date = (select max(v2.date)
from visits v2
where v2.services_id = v.services_id
);
使用visits(services_id, date)
上的索引,它应该比其他方法快或快。