Simplified table structure:
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`)
)
To do this, I have the following SQL query, which simply summarizes all records with a specific status.
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
This query has been simplified to remove INNER JOINS for unrelated data and additional columns that should not affect the question.
MAX (active_date) is the same for all records of a certain day and should always choose the last day or allow an offset from NOW (). (this is a UNIXTIME field)
I need as an account: (status! = 'OK' And status! = 'Refurbished')
And the opposite ... count: (status = 'OK' OR status = 'Refurbished')
And the first answer is divided into the second, for 'percent_dead' (maybe as fast as in post-processing)
During the last day or shift (- 86400 for yesterday, etc.)
500 . 5000 , SQL, , .
, IF . .
EDIT: SQL- .
EDIT: , (, ). -, . ORDER BY:
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 - 'bad_host_count' ( )
EDIT: . 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