我有一個有趣的情況。我將發佈SQL然後解釋。MySQL內部較大記錄集總和
SELECT
`c`.`clusterName` AS `clusterName`,
DATE_FORMAT(`p`.`insertedTS`, '%Y-%m-%d') AS `insertedDate`,
MAX(`p`.`maxMemory`) AS `peakMaxMemory`,
MIN(`p`.`maxMemory`) AS `minMaxMemory`,
MAX(`p`.`usedMem`) AS `peakUsedMem`,
MIN(`p`.`usedMem`) AS `minUsedMem`,
MAX(`p`.`availMem`) AS `peakAvailMem`,
MIN(`p`.`availMem`) AS `minAvailMem`,
MAX(`p`.`numPoweredOnVms`) AS `peakPoweredOnVms`,
MIN(`p`.`numPoweredOnVms`) AS `minPoweredOnVms`,
(MAX(`p`.`maxMemory`) - MIN(`p`.`maxMemory`)) AS `deltaMaxMemory`,
(MAX(`p`.`usedMem`) - MIN(`p`.`usedMem`)) AS `deltaUsedMem`,
(MAX(`p`.`availMem`) - MIN(`p`.`availMem`)) AS `deltaAvailMem`,
(MAX(`p`.`numPoweredOnVms`) - MIN(`p`.`numPoweredOnVms`)) AS `deltaPoweredOnVms`
FROM
(`vtrend`.`clusters` `c`
JOIN `vtrend`.`capacityDataRawPOSH` `p` ON ((`c`.`clusterID` = `p`.`clusterID`)))
GROUP BY `c`.`clusterName` , DATE_FORMAT(`p`.`insertedTS`, '%Y-%m-%d')
ORDER BY `c`.`clusterName`
結果是這樣的:
clusterName,insertedDate,peakMaxMemory,minMaxMemory,peakUsedMem,minUsedMem,peakAvailMem,minAvailMem,peakPoweredOnVms,minPoweredOnVms,deltaMaxMemory,deltaUsedMem,deltaAvailMem,deltaPoweredOnVms
Some-Cluster,2016-09-20,221,221,111,111,111,111,17,17,0,0,0,0
Some-Cluster,2016-09-21,221,221,111,111,111,111,17,17,0,0,0,0
Some-Cluster,2016-09-22,221,221,111,111,111,111,17,17,0,0,0,0
Some-Cluster,2016-09-23,221,221,111,111,111,111,17,17,0,0,0,0
Some-Cluster,2016-09-24,221,221,111,111,111,111,17,16,0,0,0,1
Some-Cluster,2016-09-25,221,221,111,111,111,111,17,17,0,0,0,0
Some-Cluster,2016-09-26,221,221,111,111,111,111,17,17,0,0,0,0
Some-Cluster,2016-09-27,221,221,111,111,111,111,17,17,0,0,0,0
Some-Cluster,2016-09-28,221,221,111,111,111,111,17,15,0,0,0,2
Some-Cluster,2016-09-29,221,221,111,111,111,111,17,17,0,0,0,0
所以我試圖完成(和失敗)是在將顯示枯萎numPoweredOnVms數增加或減少的末尾添加列在一天中。由於上面的每條記錄代表整天的分組,每15分鐘輸入一次數據,我希望能夠查看numPoweredOnVms的第一條記錄和日期,並從當天的最後一條記錄中減去並且可以得到一個肯定的(增加)或負的(減少)數,我可以使用IF語句來顯示「增加」或「減少」文本。
這裏的原始數據的樣本:
idcapacityDataRaw,insertedTS,clusterID,totalRamGb,maxMemory,availMem,usedMem,actualUsageRamGb,totalCpuMhz,maxMhz,usedMhz,numPoweredOnVms
739,"2016-09-20 16:50:12",29,384,221,111,111,111,268032,178688,3394,17
976,"2016-09-20 21:50:42",29,384,221,111,111,111,268032,178688,4072,17
1074,"2016-09-20 22:13:07",29,384,221,111,111,111,268032,178688,4683,17
1172,"2016-09-20 22:35:36",29,384,221,111,111,111,268032,178688,3916,17
1270,"2016-09-20 22:58:01",29,384,221,111,111,111,268032,178688,3857,17
1365,"2016-09-20 23:21:06",29,384,221,111,111,111,268032,178688,7867,17
1463,"2016-09-20 23:43:37",29,384,221,111,111,111,268032,178688,3971,17
1575,"2016-09-21 00:11:05",29,384,221,111,111,111,268032,178688,8196,17
2149,"2016-09-21 19:13:33",29,384,221,111,111,111,268032,178688,3758,17
2495,"2016-09-21 21:01:48",29,384,221,111,111,111,268032,178688,3927,16
所以基本上我也希望能夠從第一條記錄,當天的最後一條記錄拉numPoweredOnVms和減去它們。現在有趣的部分是如何在多天內爲多個羣集執行此操作?我在想,我可能需要對原始數據做一個單獨的視圖,然後通過記錄來計算該記錄,然後使用該視圖作爲此查詢的後盾,只是不確定。
聖牛,不知道從什麼深的裂縫,代碼來自但它做了一個小小的修改的伎倆;加入的子查詢需要包含clusterID列,否則無瑕疵且速度很快!因爲需要添加clusterID列,所以我修改了最初的'p'。*選擇立場以僅包含我想要的'p'行。 好的,現在已經完成了,有時間弄清楚如何從這個角度來看,應該是一個竅門! – JW52761
我最終把子查詢放到了它自己的視圖中,然後將視圖稱爲「p」,並且像魅力一樣工作。真的看了這個後,我現在可以看到它是如何工作的,而且如果它仍然不快,因爲所有人都會出去。 – JW52761