sqlite：按時間戳和時間間隔爲5分鐘的結果組總和

我試圖拆分最後一個小時的數據，最近六個小時，最近六天和六個月的數據。我已經看到大多數答案適用於MySQL，在sqlite中實現這一點？我試圖與此SQLite的查詢：sqlite：按時間戳和時間間隔爲5分鐘的結果組總和

SELECT timestamp,usage FROM network_band WHERE timestamp <= '2017-08-17 10:57:26' and timestamp >= '2017-08-17 09:57:26' and mac='68:c4:4d:8b:65:dd' GROUP BY strftime('%H:%M:%S 00:00:00', timestamp, '+5 minutes')

結果我得到了什麼：

"2017-08-17 10:30:26" "0.00208962886" 
"2017-08-17 10:30:32" "0.02299923714" 
"2017-08-17 10:30:35" "0.18050153" 
"2017-08-17 10:30:38" "0.761394722" 
"2017-08-17 10:30:47" "9.905705062" 
"2017-08-17 10:30:51" "6.078996" 
"2017-08-17 10:30:57" "11.204719152" 
"2017-08-17 10:31:00" "5.284454384" 
"2017-08-17 10:31:06" "6.86252996" 
"2017-08-17 10:31:09" "3.79881057599999" 
"2017-08-17 10:31:12" "0.798022895999992" 
"2017-08-17 10:32:52" "0.00697107399999197" 
"2017-08-17 10:32:55" "0.0328375519999895" 
"2017-08-17 10:32:58" "0.0226850799999951" 
"2017-08-17 10:33:01" "0.0220522059999979" 
"2017-08-17 10:34:08" "0.0676957600000065" 
"2017-08-17 10:34:14" "0.00304612000000759" 
"2017-08-17 10:34:45" "0.0634264620000096" 
"2017-08-17 10:34:51" "0.038900465999987" 
"2017-08-17 10:34:57" "0.00548396199999957" 
"2017-08-17 10:35:21" "0.0180780599999935" 
"2017-08-17 10:35:28" "0.0658217339999965" 
"2017-08-17 10:35:38" "5.418789222" 
"2017-08-17 10:36:38" "0.000912889999995059" 
"2017-08-17 10:36:59" "0.00126196399999401" 
"2017-08-17 10:37:02" "8.46684473799999" 
"2017-08-17 10:37:05" "4.540849192" 
"2017-08-17 10:37:08" "1.82630219199999" 
"2017-08-17 10:37:11" "0.689901717999987" 
"2017-08-17 10:37:20" "0.000524084000005587" 
"2017-08-17 10:37:33" "0.0693058519999994" 
"2017-08-17 10:37:39" "0.151251209999998" 
"2017-08-17 10:37:45" "3.526737192" 
"2017-08-17 10:38:00" "20.165658744" 
"2017-08-17 10:38:06" "0.00512826599999983" 
"2017-08-17 10:38:55" "0.124861593999995" 
"2017-08-17 10:39:01" "0.258720593999996" 
"2017-08-17 10:39:08" "0.362066363999986" 
"2017-08-17 10:39:14" "0.0221023439999897" 
"2017-08-17 10:39:51" "0.194911001999998" 
"2017-08-17 10:40:00" "0.128526397999991" 
"2017-08-17 10:40:12" "0.0315613979999938" 
"2017-08-17 10:40:15" "0.0247038439999869" 
"2017-08-17 10:40:18" "0.091926603999994"

期望outuput：

是這樣的：

**"2017-08-17 10:30:26" "0.00208962886" 
"2017-08-17 10:35:28" "sum(10:30 to 10:35)" 
"2017-08-17 10:40:18" "sum(10:35 to 10:40)"**

來源

2017-08-17 praveen

GROUP BY strftime('%H:%M:%S 00:00:00', timestamp, '+5 minutes')

這會將時間戳移到將來五分鐘，但不同的時間戳仍然是不同的時間戳。但是，分組要求組中的所有行最後在GROUP BY子句中具有相同的值。

SQLite中，可以通過時間戳轉換爲秒數（strftime('%s', ...)），由以秒爲單位的時間間隔數除以，然後四捨五入做到這一點（舍入爲一個整數除法隱含的）：

... 
GROUP BY strftime('%s', timestamp)/6 * 60 * 60 -- six hours

來源

2017-08-17 07:49:22

sqlite：按時間戳和時間間隔爲5分鐘的結果組總和

回答

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