如何在给定的日期间隔内获得平均工人数 [英] How can I get average worker count by given date interval

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问题描述

你好同胞CPians,



我想找到两个特定日期之间的平均工人数。我有以下查询,它给了我想要的天工人数。



例如:以下给出了2014年1月16日的工人数。



Hello fellow CPians,

I am trying to find average worker count between two given dates. I have the following query which gives me the desired days worker count.

For ex: The following gives me the worker count on 16.01.2014.

SELECT T.TOTALPERSCOUNT
FROM (
SELECT NVL(SUBSTR(p0.persid, 1, 2),'00') AS COMPANY,
    COUNT(*) AS TOPLAM
    FROM   pers0 p0, pers2 p2, role r
    WHERE p0.persid = p2.persid
        AND p2.client= r.client
        AND p2.persid= r.persid
        AND r.validfrom = (select max(validfrom) from role where client = p0.client and persid = p0.persid)
        AND p0.startdate < '16.01.2014'
        AND p0.leavedate >= '16.01.2014'
        AND p2.validfrom < '16.01.2014'
        AND p2.validuntil >= TO_DATE('16.01.2014', 'DD.MM.YYYY') -1
        AND p2.socinsurstat <> 7
    GROUP BY ROLLUP (SUBSTR (p0.persid, 1, 2))
    ORDER BY SUBSTR (p0.persid, 1, 2)
) T
WHERE T.COMPANY = '00'





我想得到一个2014年1月10日至2014年2月15日之间的平均工人人数。我怎样才能做到这一点?



这是第二个查询,它给出了这些给定日期之间的日期。



I want to get an average worker count between dates 10.01.2014 and 15.02.2014. How can I accomplish this?

And here is the second query which gives me the dates between these given dates.

select to_date('10.01.2014','dd.MM.yyyy') + rownum -1 as DATEINTV
      from all_objects
     where rownum <=
to_date('15.02.2014','dd.MM.yyyy')-to_date('10.01.2014','dd.MM.yyyy')+1





我想我需要加入这些表吗?或许不是?也许是一种不同的方法。



我将在C#项目中使用此查询的结果,但我不想每天循环,如果间隔是一年。而不是发出365请求,应该有更好的方法在数据库端完成这个过程。



有人可以帮我解决这个问题。在此先感谢。



I think some how I need to join these tables? Or maybe not?Maybe a different approach.

I will be using the result of this query in a C# project but I don't want to loop day by day if the interval is a year. Instead of making a 365 requests there should be a better effective way accomplishing this process in the database side.

Can someone help me sort this out. Thanks in advance.

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