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如何根據另一列計算以下 n 行的平均值 - SQL (Oracle) - 先前回答問題的更新版本

[英]How to calculate the average value of following n rows based on another column - SQL (Oracle) - updated version of previously answered question

我正在嘗試每月計算每個 POLICY_ID 的 PREMIUM 的平均月值,如下圖所示。 當客戶將他/她的年度 PAYMENT_FREQUENCY 更新為不同於 12 的值時,我需要手動計算 PREMIUM 的平均每月值。 此外,每月平均PREMIUM金額可以及時更改。 例如,對於 POLICY_ID = 1,從“2015/11/01”開始,平均每月保費從 120 增加到 240。

如何獲得名為 MONTHLY _PREMIUM_DESIRED 的列中顯示的值?

這里回答了這個問題的早期版本:)

注:Oracle 版本 12c

在此處輸入圖像描述

我試過的:

SELECT 
    T.*,
    SUM(PREMIUM) OVER(PARTITION BY T.POLICY_ID ORDER BY T.POLICY_ID, T.PAYMENT_DATE ROWS BETWEEN CURRENT ROW AND 12/T.YEARLY_PAYMENT_FREQ-1 FOLLOWING ) / (12/T.YEARLY_PAYMENT_FREQ) MONTLY_PREMIUM_CALCULATED
FROM MYTABLE2 T
;

數據代碼:

DROP TABLE MYTABLE2;
CREATE TABLE MYTABLE2 (POLICY_ID NUMBER(11), PAYMENT_DATE DATE, PREMIUM NUMBER(5), YEARLY_PAYMENT_FREQ NUMBER(2),MONTHLY_PREMIUM_DESIRED NUMBER(5));
INSERT INTO MYTABLE2 VALUES (1, DATE '2014-10-01',120,12,120);
INSERT INTO MYTABLE2 VALUES (1, DATE  '2014-11-01',360,4,120);
INSERT INTO MYTABLE2 VALUES (1, DATE '2014-12-01',0,4,120);
INSERT INTO MYTABLE2 VALUES (1, DATE '2015-01-01',0,4,120);
INSERT INTO MYTABLE2 VALUES (1, DATE '2015-02-01',360,4,120);
INSERT INTO MYTABLE2 VALUES (1, DATE '2015-03-01',0,4,120);
INSERT INTO MYTABLE2 VALUES (1, DATE '2015-04-01',0,4,120);
INSERT INTO MYTABLE2 VALUES (1, DATE '2015-05-01',720,2,120);
INSERT INTO MYTABLE2 VALUES (1, DATE '2015-06-01',0,2,120);
INSERT INTO MYTABLE2 VALUES (1, DATE '2015-07-01',0,2,120);
INSERT INTO MYTABLE2 VALUES (1, DATE '2015-08-01',0,2,120);
INSERT INTO MYTABLE2 VALUES (1, DATE '2015-09-01',0,2,120);
INSERT INTO MYTABLE2 VALUES (1, DATE '2015-10-01',0,2,120);
INSERT INTO MYTABLE2 VALUES (1, DATE '2015-11-01',240,12,240);
INSERT INTO MYTABLE2 VALUES (1, DATE '2016-12-01',240,12,240); 
INSERT INTO MYTABLE2 VALUES (1, DATE '2016-01-01',960,4,240);     
INSERT INTO MYTABLE2 VALUES (1, DATE '2016-02-01',0,4,240);   
INSERT INTO MYTABLE2 VALUES (1, DATE '2016-03-01',0,4,240);    
INSERT INTO MYTABLE2 VALUES (1, DATE '2016-04-01',0,4,240);  
INSERT INTO MYTABLE2 VALUES (1, DATE '2016-05-01',960,4,240);     
INSERT INTO MYTABLE2 VALUES (1, DATE '2016-06-01',0,4,240);     
INSERT INTO MYTABLE2 VALUES (1, DATE '2016-07-01',0,4,240);      
INSERT INTO MYTABLE2 VALUES (1, DATE '2016-08-01',0,4,240);    
INSERT INTO MYTABLE2 VALUES (2, DATE '2015-01-01',60,3,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2015-02-01',0,3,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2015-03-01',0,3,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2015-04-01',0,3,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2015-05-01',180,1,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2015-06-01',0,1,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2015-07-01',0,1,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2015-08-01',0,1,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2015-09-01',0,1,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2015-10-01',0,1,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2015-11-01',0,1,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2015-12-01',0,1,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2016-01-01',0,1,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2016-02-01',0,1,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2016-03-01',0,1,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2016-04-01',0,1,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2016-05-01',15,12,15);
INSERT INTO MYTABLE2 VALUES (2, DATE '2016-06-01',15,12,15);
SELECT * FROM MYTABLE2;

我想你所追求的是:

select t.*, 
       last_value(nullif(premium * yearly_payment_freq / 12, 0) ignore nulls) 
                   over (partition by policy_id order by payment_date)
                   as monthly_premium_calculated
from   mytable2 t
;

對於非零付款的月份,這需要支付的保費,它乘以年度頻率以獲得等值的年度保費,然后將結果除以 12 以獲得每月等值。 對於保費為零的月份,假設該月的保費是在較早的月份支付的(頻率低於“每月” - 即,保費支付了整個季度或半年,或年)。

在您的數據上運行此程序,我在您的“所需”數據中發現了一個錯誤。 對於 POLICY_ID = 1,對於“2016-01-01”,您顯示付款為 960,年頻率為 4,“所需每月金額”為 240。這不是錯了嗎? 頻率 4 表示“季度”,如果季度金額為 960,則每月金額為 320,而不是 240。對嗎? 我的計算得到結果 320。

您的輸入中還有一個錯字:您在 2016 年 12 月的政策 id 1 中有一行,而您的意思是 2015 年 12 月。我打算編輯您的帖子以更正,但后來我意識到您發布的圖片是基於錯誤的數據(有那個錯字)。 如果我只在INSERT語句中更改它,那么它們將與圖像不匹配......

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