简化的表格结构:
CREATE TABLE IF NOT EXISTS `hpa` (
`id` bigint(15) NOT NULL auto_increment,
`core` varchar(50) NOT NULL,
`hostname` varchar(50) NOT NULL,
`status` varchar(255) NOT NULL,
`entered_date` int(11) NOT NULL,
`active_date` int(11) NOT NULL,
PRIMARY KEY (`id`),
KEY `hostname` (`hostname`),
KEY `status` (`status`),
KEY `entered_date` (`entered_date`),
KEY `core` (`core`),
KEY `active_date` (`active_date`)
)
SELECT core,COUNT(hostname) AS hostname_count, MAX(active_date) AS last_active
FROM `hpa`
WHERE
status != 'OK' AND status != 'Repaired'
GROUP BY core
ORDER BY core
此查询已被简化,以删除不相关数据的内部联接和不应影响问题的额外列。
MAX(active_date)对于特定日期的所有记录都是相同的,并且应该始终选择最近的一天,或者允许从现在开始偏移()(这是一个UNIXTIME字段)
我想要两个计数:(状态!='“好的”和状态!='("")
而反过来。。。计数:(状态='OK'或状态='Repaired')
对于最近一天或抵消(-86400对于昨天等)
该表包含约500k条记录,每天增长约5000条,所以一个SQL查询而不是循环查询会非常好。。
我想一些有创意的IF可以做到这一点。感谢您的专业知识。
编辑:我愿意对今天的数据或来自偏移量的数据使用不同的SQL查询。
编辑:查询有效,速度足够快,但我目前无法让用户按百分比列(从坏计数和好计数派生的列)排序。这不是一个表演的阻碍,但我允许他们对其他一切进行排序。命令如下:
SELECT h1.core, MAX(h1.entered_date) AS last_active,
SUM(CASE WHEN h1.status IN ('OK', 'Repaired') THEN 1 ELSE 0 END) AS good_host_count,
SUM(CASE WHEN h1.status IN ('OK', 'Repaired') THEN 0 ELSE 1 END) AS bad_host_count
FROM `hpa` h1
LEFT OUTER JOIN `hpa` h2 ON (h1.hostname = h2.hostname AND h1.active_date < h2.active_date)
WHERE h2.hostname IS NULL
GROUP BY h1.core
ORDER BY ( bad_host_count / ( bad_host_count + good_host_count ) ) DESC,h1.core
#1247-不支持引用“坏主机计数”(引用组函数)
编辑:为不同的部分求解。下面的工作,并允许我
ORDER BY percentage_dead
SELECT c.core, c.last_active,
SUM(CASE WHEN d.dead = 1 THEN 0 ELSE 1 END) AS good_host_count,
SUM(CASE WHEN d.dead = 1 THEN 1 ELSE 0 END) AS bad_host_count,
( SUM(CASE WHEN d.dead = 1 THEN 1 ELSE 0 END) * 100/
( (SUM(CASE WHEN d.dead = 1 THEN 0 ELSE 1 END) )+(SUM(CASE WHEN d.dead = 1 THEN 1 ELSE 0 END) ) ) ) AS percentage_dead
FROM `agent_cores` c
LEFT JOIN `dead_agents` d ON c.core = d.core
WHERE d.active = 1
GROUP BY c.core
ORDER BY percentage_dead