本文介绍了SQL重新激活收入的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我正在寻找一个查询,该查询将从给定日期算起重新激活收入。当前,我有以下查询;

I'm looking for a query that will Sum Reactivation Revenue from a given date on. Currently I have the following query;

    SELECT advertisable, EXTRACT(YEAR from day), EXTRACT(MONTH from day), ROUND(SUM(cost)/1e6)  FROM adcube dac
WHERE advertisable_eid IN

(SELECT advertisable FROM adcube dac
GROUP BY advertisable HAVING SUM(cost)/1e6 > 100)

GROUP BY advertisable, EXTRACT(YEAR from day), EXTRACT(MONTH from day)
ORDER BY advertisable, EXTRACT(YEAR from day), EXTRACT(MONTH from day)

然后我将其导出到excel,并且支票帐户已经停止支出4个月,然后重新激活。然后,我跟踪新的重新激活月份的新收入。

From this i then export to excel and check accounts thay have stopped spending for 4 months and then reactivated. I then track the new revenue from the new reactivtion month.

是否可以通过SQL查询而无需Excel?

Is it possible to get an SQL query to do this without need of Excel?

谢谢

推荐答案

假设数据中实际存在四个月,则可以使用窗口函数来完成此操作。通过取两个 row_numbers()之间的差,可以连续找到 N 个东西。就是这样:

Assuming the four months is actually present in the data, you can do this using window functions. You can find N things in a row by taking the difference between two row_numbers(). Here is the idea:

with t as (
      SELECT advertisable, EXTRACT(YEAR from day) as yy, EXTRACT(MONTH from day) as mon,
             ROUND(SUM(cost)/1e6) as val
      FROM adcube dac
      WHERE advertisable_eid IN (SELECT advertisable
                                 FROM adcube dac
                                 GROUP BY advertisable
                                 HAVING SUM(cost)/1e6 > 100
                                )
      GROUP BY advertisable, EXTRACT(YEAR from day), EXTRACT(MONTH from day)
     )
select advertisable, min(yy * 10000 + mon) as yyyymm
from (select t.*,
             (row_number() over (partition by advertisable order by yy, mon) -
              row_number() over (partition by advertisable, val order by yy, mon)
             ) as grp
      from t
     )
group by advertisable, grp, val
having count(*) >= 4 and val = 0;

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08-15 20:02