MySQL क्वेरी अधिकतम event_count पर समूह करने के लिए?

Question

मुझे घटनाओं के समूहों के बीच समय अंतर की गणना करने की आवश्यकता है। प्रत्येक "इवेंट ग्रुप" शुरू होता है जब event_count कॉलम = 1, और अधिकतम event_count किसी भी संख्या से अधिक हो सकता है 1.

मैं इसे MySQL में कैसे कर सकता हूं?

टेबल

CREATE TABLE `monitoring` ( 
    `event_id` int(10) unsigned NOT NULL AUTO_INCREMENT, 
    `hosting_id` char(36) DEFAULT NULL, 
    `event_timestamp` datetime DEFAULT NULL, 
    `event_type` tinyint(3) unsigned DEFAULT NULL, 
    `event_count` int(6) DEFAULT NULL, 
    `session` varchar(36) DEFAULT NULL, 
    PRIMARY KEY (`event_id`) 
) ENGINE=MyISAM AUTO_INCREMENT=1765 DEFAULT CHARSET=utf8; 

टेस्ट रिकॉर्ड:

INSERT INTO `monitoring` (`event_id`, `hosting_id`, `event_timestamp`, `event_type`, `event_count`, `session`) 
VALUES 
    (1753,'97948a60-2e44-d39c-bb02-506c80c97df4','2013-10-23 20:01:19',1,1,NULL), 
    (1711,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:02:20',1,1,NULL), 
    (1712,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:02:26',1,2,NULL), 
    (1713,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:02:30',1,3,NULL), 
    (1714,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:02:33',1,4,NULL), 
    (1715,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:02:45',1,5,NULL), 
    (1716,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:02:48',1,6,NULL), 
    (1717,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:02:51',1,7,NULL), 
    (1718,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:49:29',1,1,NULL), 
    (1719,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:49:31',1,2,NULL), 
    (1720,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:49:33',1,3,NULL), 
    (1721,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:49:35',1,4,NULL), 
    (1722,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:49:38',1,5,NULL), 
    (1723,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:49:40',1,6,NULL), 
    (1724,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:49:43',1,7,NULL), 
    (1725,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:49:46',1,8,NULL), 
    (1726,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:49:48',1,9,NULL), 
    (1727,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 16:49:50',1,10,NULL), 
    (1754,'988df609-4ae4-3062-6361-4fd2665cfb42','2013-10-24 02:48:32',1,1,NULL), 
    (1729,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:02:28',1,1,NULL), 
    (1730,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:03:25',1,2,NULL), 
    (1731,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:03:30',1,3,NULL), 
    (1732,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:05:42',1,4,NULL), 
    (1733,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:06:03',1,5,NULL), 
    (1758,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-24 12:23:43',1,1,NULL), 
    (1757,'d425f99b-0812-5902-37da-4fd266c64545','2013-10-24 08:16:26',1,1,NULL), 
    (1756,'20e00e08-459b-b229-d341-4fd266c23df1','2013-10-24 06:32:10',1,1,NULL), 
    (1738,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:09:02',1,1,'5c31a1eb481bf9e0753f9a25538b0257'), 
    (1739,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:09:04',1,2,'5c31a1eb481bf9e0753f9a25538b0257'), 
    (1740,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:09:06',1,3,'5c31a1eb481bf9e0753f9a25538b0257'), 
    (1741,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:09:07',1,4,'5c31a1eb481bf9e0753f9a25538b0257'), 
    (1742,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:09:08',1,5,'5c31a1eb481bf9e0753f9a25538b0257'), 
    (1743,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:09:09',1,6,'5c31a1eb481bf9e0753f9a25538b0257'), 
    (1755,'988df609-4ae4-3062-6361-4fd2665cfb42','2013-10-24 06:30:20',1,1,NULL), 
    (1745,'a9e17a2a-42d9-979f-0484-4fd2665b487a','2013-10-23 17:09:28',1,1,'5c31a1eb481bf9e0753f9a25538b0257'), 
    (1746,'a9e17a2a-42d9-979f-0484-4fd2665b487a','2013-10-23 17:09:38',1,2,'5c31a1eb481bf9e0753f9a25538b0257'), 
    (1747,'a9e17a2a-42d9-979f-0484-4fd2665b487a','2013-10-23 17:09:55',1,3,'5c31a1eb481bf9e0753f9a25538b0257'), 
    (1748,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:13:54',1,1,NULL), 
    (1749,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:13:56',1,2,NULL), 
    (1750,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:13:58',1,3,NULL), 
    (1751,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-23 17:14:00',1,4,NULL), 
    (1752,'ecd5f06a-7b82-4cc8-deb2-4fd266eeec3e','2013-10-23 19:06:42',1,1,NULL), 
    (1759,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-24 12:23:48',1,2,NULL), 
    (1760,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-24 12:23:51',1,3,NULL), 
    (1761,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-24 12:23:53',1,4,NULL), 
    (1762,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-24 12:23:56',1,5,NULL), 
    (1763,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-24 12:23:58',1,6,NULL), 
    (1764,'c47204d5-d682-9ba4-b8b6-4fd26660651a','2013-10-24 12:24:23',1,7,NULL); 

क्या मैं के लिए लक्ष्य कर रहा हूँ:

यहाँ मेज और कुछ परीक्षण डेटा है

On 10-23-2013 down for 31 seconds 
On 10-23-2013 down for 21 seconds 
On 10-23-2013 down for 215 seconds 
    etc... 

जो मैं एक बार करूँगा मैं यह प्रश्न ठीक से समझ सकता हूं।

मेरे क्वेरी अब तक है:

SELECT min(date(`event_timestamp`)) as EventGroupDate, (max(`event_timestamp`) - min(`event_timestamp`)) HowLong 
FROM (
    SELECT `event_timestamp`, @eventGroup := @eventGroup + (`event_count` = 1) eventGroup 
    FROM `monitoring`, (SELECT @eventGroup := 0) init 
    WHERE `hosting_id` = 'c47204d5-d682-9ba4-b8b6-4fd26660651a' 
    ORDER BY `event_timestamp` 
) s 
GROUP BY eventGroup 

लेकिन गलत गणना। सटीक गणना

से नीचे हैं और मैं इसे बनाने के लिए अपडेट पोस्ट करूंगा।

प्रत्येक घटना समूह event_count = 1 के रूप में शुरू होता है, और के बाद से इस event_timestamp कि बीच में सभी एक समूह माना जा सकता है यह माना जा सकता है के आधार पर सॉर्ट करने की जरूरत है किसी भी संख्या से अधिक 1. समाप्त कर सकते हैं। उदाहरण के लिए: रिकॉर्ड आईडी 1711-1717 होगा समूह 1, 1718-1727 समूह 2, इतने पर और बहुत आगे होगा ...

सटीक परिणाम होना चाहिए:

31 
21 
215 
7 
6 
40 

दिए गए आंकड़ों

साथ

Answer 1

इस आजमाएं:

SELECT 
    min(date(event_timestamp)) aDay, 
    max(UNIX_TIMESTAMP(event_timestamp)) - min(UNIX_TIMESTAMP(event_timestamp)) secondDiff 
FROM (
    SELECT event_timestamp, @eventGroup := @eventGroup + (event_count = 1) eventGroup 
    FROM monitoring, (SELECT @eventGroup := 0) init 
    WHERE hosting_id = 'c47204d5-d682-9ba4-b8b6-4fd26660651a' 
    ORDER BY event_timestamp 
) s 
GROUP BY eventGroup 

आउटपुट:

|    ADAY | SECONDDIFF | 
|------------------|------------| 
| October, 23 2013 |   31 | 
| October, 23 2013 |   21 | 
| October, 23 2013 |  215 | 
| October, 23 2013 |   7 | 
| October, 23 2013 |   6 | 
| October, 24 2013 |   40 | 

फिल्ड here।