MySQL显示两个值之差之和
下面是我的问题MySQL显示两个值之差之和,mysql,sql,select,sum,window-functions,Mysql,Sql,Select,Sum,Window Functions,下面是我的问题 SELECT n.`name`,n.`customer_id`,m.`msn`, m.kwh, m.kwh - LAG(m.kwh) OVER(PARTITION BY n.`customer_id` ORDER BY m.`data_date_time`) AS kwh_diff FROM mdc_node n INNER JOIN `mdc_meters_data` m ON n.`customer_id` = m.`cust_id` WHERE n.`lft` = 5
SELECT n.`name`,n.`customer_id`,m.`msn`, m.kwh,
m.kwh - LAG(m.kwh) OVER(PARTITION BY n.`customer_id` ORDER BY m.`data_date_time`) AS kwh_diff
FROM mdc_node n
INNER JOIN `mdc_meters_data` m ON n.`customer_id` = m.`cust_id`
WHERE n.`lft` = 5 AND n.`icon` NOT IN ('folder')
AND m.`data_date_time` BETWEEN NOW() - INTERVAL 30 DAY AND NOW()
这给了我下面的结果
我想总结一下kwh_diff,只显示一行记录,而不是下面的多行记录
客户名称\u id msn总和\u kwh\u差异
泽山37010114711 4A60193390663 4.5
我试着做了以下几点
SUM(m.kwh - LAG(m.kwh) OVER(PARTITION BY n.`customer_id` ORDER BY m.`data_date_time`)) AS sum_kwh_diff
并得到错误代码:4074个窗口函数不能用作分组函数的参数。您不能在聚合函数中使用窗口函数,而相反的情况是可能的,在这里,您需要使用子查询,并在外部查询中聚合:
SELECT name, customer_id, SUM(kwh_diff) sum_kwh_diff
FROM (
SELECT n.`name`,n.`customer_id`,m.`msn`, m.kwh,
m.kwh - LAG(m.kwh) OVER(PARTITION BY n.`customer_id` ORDER BY m.`data_date_time`) AS kwh_diff
FROM mdc_node n
INNER JOIN `mdc_meters_data` m ON n.`customer_id` = m.`cust_id`
WHERE n.`lft` = 5 AND n.`icon` NOT IN ('folder')
AND m.`data_date_time` BETWEEN NOW() - INTERVAL 30 DAY AND NOW()
) t
GROUP BY name, customer_id
不能在聚合函数中使用窗口函数,相反的情况是可能的,在这里,您需要使用子查询,并在外部查询中聚合:
SELECT name, customer_id, SUM(kwh_diff) sum_kwh_diff
FROM (
SELECT n.`name`,n.`customer_id`,m.`msn`, m.kwh,
m.kwh - LAG(m.kwh) OVER(PARTITION BY n.`customer_id` ORDER BY m.`data_date_time`) AS kwh_diff
FROM mdc_node n
INNER JOIN `mdc_meters_data` m ON n.`customer_id` = m.`cust_id`
WHERE n.`lft` = 5 AND n.`icon` NOT IN ('folder')
AND m.`data_date_time` BETWEEN NOW() - INTERVAL 30 DAY AND NOW()
) t
GROUP BY name, customer_id
进行外部查询
SELECT
`name`,`customer_id`,`msn`, SUM(kwh_diff) kwh_diff
FROM
(
SELECT n.`name`,n.`customer_id`,m.`msn`, m.kwh,
m.kwh - LAG(m.kwh) OVER(PARTITION BY n.`customer_id` ORDER BY m.`data_date_time`) AS kwh_diff
FROM mdc_node n
INNER JOIN `mdc_meters_data` m ON n.`customer_id` = m.`cust_id`
WHERE n.`lft` = 5 AND n.`icon` NOT IN ('folder')
AND m.`data_date_time` BETWEEN NOW() - INTERVAL 30 DAY AND NOW() ) t1
GROUP BY `name`,`customer_id`,`msn`
进行外部查询
SELECT
`name`,`customer_id`,`msn`, SUM(kwh_diff) kwh_diff
FROM
(
SELECT n.`name`,n.`customer_id`,m.`msn`, m.kwh,
m.kwh - LAG(m.kwh) OVER(PARTITION BY n.`customer_id` ORDER BY m.`data_date_time`) AS kwh_diff
FROM mdc_node n
INNER JOIN `mdc_meters_data` m ON n.`customer_id` = m.`cust_id`
WHERE n.`lft` = 5 AND n.`icon` NOT IN ('folder')
AND m.`data_date_time` BETWEEN NOW() - INTERVAL 30 DAY AND NOW() ) t1
GROUP BY `name`,`customer_id`,`msn`
您希望对连续行之间的差异求和。 例如,假设列kwh具有以下值: 因此,区别在于:
kwh_diff
--------
0
12-10
14-12
17-14
25-17
32-25
这些差异之和等于32-10,即:
最后一个值和第一个值之间的差值
因此,您需要的是窗口函数的第一个_值来获得这些值:
SELECT DISTINCT n.`name`, n.`customer_id`, m.`msn`,
FIRST_VALUE(m.kwh) OVER (PARTITION BY n.`customer_id` ORDER BY m.`data_date_time` DESC) -
FIRST_VALUE(m.kwh) OVER (PARTITION BY n.`customer_id` ORDER BY m.`data_date_time` ASC) AS kwh_diff
FROM mdc_node n
INNER JOIN `mdc_meters_data` m ON n.`customer_id` = m.`cust_id`
WHERE n.`lft` = 5 AND n.`icon` NOT IN ('folder')
AND m.`data_date_time` BETWEEN NOW() - INTERVAL 30 DAY AND NOW()
并且不需要子查询或聚合
我在我的代码分区中保留了n.customer\u id,因为您在代码中使用了它,尽管您可能需要按n.customer\u id,m.msn进行分区。您希望对连续行之间的差异求和。 例如,假设列kwh具有以下值: 因此,区别在于:
kwh_diff
--------
0
12-10
14-12
17-14
25-17
32-25
这些差异之和等于32-10,即:
最后一个值和第一个值之间的差值
因此,您需要的是窗口函数的第一个_值来获得这些值:
SELECT DISTINCT n.`name`, n.`customer_id`, m.`msn`,
FIRST_VALUE(m.kwh) OVER (PARTITION BY n.`customer_id` ORDER BY m.`data_date_time` DESC) -
FIRST_VALUE(m.kwh) OVER (PARTITION BY n.`customer_id` ORDER BY m.`data_date_time` ASC) AS kwh_diff
FROM mdc_node n
INNER JOIN `mdc_meters_data` m ON n.`customer_id` = m.`cust_id`
WHERE n.`lft` = 5 AND n.`icon` NOT IN ('folder')
AND m.`data_date_time` BETWEEN NOW() - INTERVAL 30 DAY AND NOW()
并且不需要子查询或聚合
我保留了n.customer\u id的代码分区,因为您在代码中使用了它,尽管您可能需要n.customer\u id的分区,m.msn。工作起来像个咒语,工作起来像个咒语