不幸的是,我的SQL技能非常基础。我希望有一个人可以帮助我。我想根据同一设备两行之间的时间差来计算Wh(Watt / h)的功耗(计数器读数)。
我有一个表(mysql),其中具有deviceID,Date,CounterReading(Wh)和当前为空,ActivePower(Watt)和其他一些列。在表“ device_data”中,大约设备每分钟会在当前行中插入新行(字段activePower)。时间戳记为现场日期。我希望每小时运行一个脚本,该脚本计算计数器读数(Wh)并更新每一行。需要将计算出的Wh添加到表中保存的最后一个值中。
我知道公式,但是我没有技巧来编写适当的sql查询来计算计数器读数并更新表。
公式:Wh ='以秒为单位的timediff'* activePower / 3600 例如:55s * 9.1601 / 3600 = 0.139945972 Wh(。之后的四位数应足够)。
计算得出的Wh必须添加到counterReading的最后一个条目中。目前,CounterReading字段为“ NULL”,我想从0 Wh开始并将其汇总到今天。
有时ActivePower也可以为0(=电源插头后面的设备无电源使用)。在这种情况下,CounterReading值必须与最后一个条目相同。
下面是我的带有两个设备的表“ device_data”的示例。
+--------------+---------------------+---------+--------+
| DeviceId | DATE | Counter | Active |
| | | Reading | POWER |
+--------------+---------------------+---------+--------+
| B4E62DE92CE9 | 2019-06-28 17:34:02 | NULL | 9.1150 |
| B4E62DE92CE9 | 2019-06-28 17:35:01 | NULL | 9.2129 |
| B4E62DE92CE9 | 2019-06-28 17:36:01 | NULL | 9.1962 |
| B4E62DE92CE9 | 2019-06-28 17:37:01 | NULL | 9.1741 |
| B4E62DE92CE9 | 2019-06-28 17:38:02 | NULL | 9.1123 |
| B4E62DE92CE9 | 2019-06-28 17:39:02 | NULL | 9.1256 |
| B4E62DE92CE9 | 2019-06-28 17:40:01 | NULL | 9.2432 |
| B4E62DE92CE9 | 2019-06-28 17:41:02 | NULL | 9.1924 |
| B4E62DE92CE9 | 2019-06-28 17:42:02 | NULL | 9.2486 |
| B4E62DE92CE9 | 2019-06-28 17:43:01 | NULL | 9.2040 |
| B4E62DE92CE9 | 2019-06-28 17:44:01 | NULL | 9.0565 |
| B4E62DE92CE9 | 2019-06-28 17:45:01 | NULL | 9.1879 |
| B4E62DE92CE9 | 2019-06-28 17:46:01 | NULL | 9.2045 |
| B4E62DE92CE9 | 2019-06-28 17:47:02 | NULL | 9.1986 |
| B4E62DE92CE9 | 2019-06-28 17:48:04 | NULL | 9.1601 |
+--------------+---------------------+---------+--------+
以下是我希望获得的最终结果的示例:
+--------------+-------------------+----------------+-------------+
| DeviceId | DATE | CounterReading | ActivePower |
+--------------+-------------------+----------------+-------------+
| B4E62DE92CE9 | 28.06.19 17:48:04 | 0.0000 | 9.1601 |
| B4E62DE92CE9 | 28.06.19 17:47:02 | 0.1559 | 9.1986 |
| B4E62DE92CE9 | 28.06.19 17:46:01 | 0.3093 | 9.2045 |
| B4E62DE92CE9 | 28.06.19 17:45:01 | 0.4599 | 9.1879 |
| B4E62DE92CE9 | 28.06.19 17:44:01 | 0.6083 | 9.0565 |
| B4E62DE92CE9 | 28.06.19 17:43:01 | 0.7591 | 9.204 |
| B4E62DE92CE9 | 28.06.19 17:42:02 | 0.9081 | 9.2486 |
| B4E62DE92CE9 | 28.06.19 17:41:02 | 1.0588 | 9.1924 |
| B4E62DE92CE9 | 28.06.19 17:40:01 | 1.2128 | 9.2432 |
| B4E62DE92CE9 | 28.06.19 17:39:02 | 1.3599 | 9.1256 |
| B4E62DE92CE9 | 28.06.19 17:38:02 | 1.5092 | 9.1123 |
| B4E62DE92CE9 | 28.06.19 17:37:01 | 1.6621 | 9.1741 |
| B4E62DE92CE9 | 28.06.19 17:36:01 | 1.8128 | 9.1962 |
| B4E62DE92CE9 | 28.06.19 17:35:01 | 1.9638 | 9.2129 |
| B4E62DE92CE9 | 28.06.19 17:34:02 | 2.1107 | 9.115 |
+--------------+-------------------+----------------+-------------+
如果有人可以帮助我,那将很棒。
亲切的问候 帕特里克
答案 0 :(得分:0)
您可以使用LAG
窗口函数来检索上一行。
以下SQL计算两行之间的时间差:
SELECT date - LAG(date) OVER (ORDER BY date) FROM device_data;
有了这个,您应该能够创建一个执行您所需的SQL语句。
编辑:
要汇总这些值,可以使用CTE:
WITH t AS (
SELECT date, (UNIX_TIMESTAMP(date) - LAG(UNIX_TIMESTAMP(date)) OVER (ORDER BY date ASC)) * activepower / 3600 AS Wh FROM device_data
) SELECT IFNULL(SUM(t.Wh) OVER (ORDER BY t.date), 0) FROM t;
答案 1 :(得分:0)
我现在能够计算瓦特/小时,因为我必须先将日期转换为UNIX_TIMESTAMP。我现在正在SQL中努力加总计数器读数始终为:last value of counterRading + Wh
。
这是我到目前为止所拥有的SQL:
SELECT date,
deviceID,
activePower,
counterReading,
(UNIX_TIMESTAMP(date) - LAG(UNIX_TIMESTAMP(date)) OVER (ORDER BY date ASC)) * activePower / 3600 AS Wh
FROM device_data
WHERE deviceID = 'B4E62DE92E05';
我尝试过类似的
SELECT ...
counterReading + (UNIX_TIMESTAMP(date) - LAG(UNIX_TIMESTAMP(date)) OVER (ORDER BY date ASC)) * activePower / 3600 AS Wh
FROM ...
但是那根本没有用。这就是我得到的结果。
+---------------------+--------------+-------------+----------------+------------+
| date | deviceID | activePower | counterReading | Wh |
+---------------------+--------------+-------------+----------------+------------+
| 2019-06-28 15:00:02 | B4E62DE92E05 | 80.2636 | NULL | NULL |
| 2019-06-28 15:01:01 | B4E62DE92E05 | 79.6895 | NULL | 1.30602236 |
| 2019-06-28 15:02:01 | B4E62DE92E05 | 78.8532 | NULL | 1.31422000 |
| 2019-06-28 15:03:01 | B4E62DE92E05 | 78.1088 | NULL | 1.30181333 |
| 2019-06-28 15:04:01 | B4E62DE92E05 | 77.5467 | NULL | 1.29244500 |
| 2019-06-28 15:05:01 | B4E62DE92E05 | 76.2649 | NULL | 1.27108167 |
| 2019-06-28 15:06:01 | B4E62DE92E05 | 76.3540 | NULL | 1.27256667 |
| 2019-06-28 15:07:01 | B4E62DE92E05 | 74.6706 | NULL | 1.24451000 |
+---------------------+--------------+-------------+----------------+------------+