SQL – 向下滴落超额付款至以下月份

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英文:

SQL - Trickle down an overpayment to the following months

问题

在Amazon Redshift（使用DataGrip）中，我有一个表格，如下所示：

合同编号 开始月份 合同期限（月） 收款截止日期 目标 已收金额
10001 2022年01月01日 12 2022年01月01日 10000 40000
10001 2022年01月01日 12 2022年01月02日 10000 0
10001 2022年01月01日 12 2022年01月03日 10000 0
10001 2022年01月01日 12 2022年01月04日 10000 0
10001 2022年01月01日 12 2022年01月05日 10000 0
10001 2022年01月01日 12 2022年01月06日 10000 0
10001 2022年01月01日 12 2022年01月07日 10000 0
10001 2022年01月01日 12 2022年01月08日 10000 30000
10001 2022年01月01日 12 2022年01月09日 10000 2500
10001 2022年01月01日 12 2022年01月10日 10000 0
10001 2022年01月01日 12 2022年01月11日 10000 0
10001 2022年01月01日 12 2022年01月12日 10000 0
10002 2022年01月01日 8 2022年01月03日 5000 12000
10002 2022年01月01日 8 2022年01月04日 5000 1000
10002 2022年01月01日 8 2022年01月05日 5000 0
10002 2022年01月01日 8 2022年01月06日 5000 0
10002 2022年01月01日 8 2022年01月07日 5000 10000
10002 2022年01月01日 8 2022年01月08日 5000 0
10002 2022年01月01日 8 2022年01月09日 5000 0
10002 2022年01月01日 8 2022年01月10日 5000 0

每个月我都有一个目标金额和一个支付金额（已收金额），每个月我想要查看我已经实现了多少目标（实现的金额永远不能高于目标），如果支付金额超过目标，那么超出的金额将流向下个月。如下所示：

合同编号 开始月份 合同期限（月） 收款截止日期 目标 已收金额 实现的金额 超额支付
10001 2022年01月01日 12 2022年01月01日 10000 40000 10000 30000
10001 2022年01月01日 12 2022年01月02日 10000 0 10000 20000
10001 2022年01月01日 12 2022年01月03日 10000 0 10000 10000
10001 2022年01月01日 12 2022年01月04日 10000 0 10000 0
10001 2022年01月01日 12 2022年01月05日 10000 0 0 0
10001 2022年01月01日 12 2022年01月06日 10000 0 0 0
10001 2022年01月01日 12 2022年01月07日 10000 0 0 0
10001 2022年01月01日 12 2022年01月08日 10000 30000 10000 20000
10001 2022年01月01日 12 2022年01月09日 10000 2500 10000 12500
10001 2022年01月01日 12 2022年01月10日 10000 0 10000 2500
10001 2022年01月01日 12 2022年01月11日 10000 0 2500 0
10001 2022年01月01日 12 2022年01月12日 10000 0 0 0
10002 2022年01月01日 8 2022年01月03日 5000 12000 5000 7000
10002 2022年01月01日 8 2022年01月04日 5000 1000 5000 3000
10002 2022年01月01日 8 2022年01月05日 5000 0 3000 0
10002 2022年01月01日 8 2022年01月06日 5000 0 0 0
10002 2022年01月01日 8
英文:

I have a table in amazon redshift (datagrip) like so:

Contract_ID Starting_Month Contract_Duration_In_Months Collection_Due_Date Target Amount_Collected
10001 01/01/2022 12 01/01/2022 10000 40000
10001 01/01/2022 12 01/02/2022 10000 0
10001 01/01/2022 12 01/03/2022 10000 0
10001 01/01/2022 12 01/04/2022 10000 0
10001 01/01/2022 12 01/05/2022 10000 0
10001 01/01/2022 12 01/06/2022 10000 0
10001 01/01/2022 12 01/07/2022 10000 0
10001 01/01/2022 12 01/08/2022 10000 30000
10001 01/01/2022 12 01/09/2022 10000 2500
10001 01/01/2022 12 01/10/2022 10000 0
10001 01/01/2022 12 01/11/2022 10000 0
10001 01/01/2022 12 01/12/2022 10000 0
10002 01/01/2022 8 01/03/2022 5000 12000
10002 01/01/2022 8 01/04/2022 5000 1000
10002 01/01/2022 8 01/05/2022 5000 0
10002 01/01/2022 8 01/06/2022 5000 0
10002 01/01/2022 8 01/07/2022 5000 10000
10002 01/01/2022 8 01/08/2022 5000 0
10002 01/01/2022 8 01/09/2022 5000 0
10002 01/01/2022 8 01/10/2022 5000 0

Whereby each month I have a target amount and a payment (amount_collected), and each month I want to see how much of my target I've achieved (the achieved amount can never be higher than the target), if the payment exceeds the target then the amount achieved will trickle down to the next month. Like so:

Contract_ID Starting_Month Contract_Duration_In_Months Collection_Due_Date Target Amount_Collected Achieved Overpayment
10001 01/01/2022 12 01/01/2022 10000 40000 10000 30000
10001 01/01/2022 12 01/02/2022 10000 0 10000 20000
10001 01/01/2022 12 01/03/2022 10000 0 10000 10000
10001 01/01/2022 12 01/04/2022 10000 0 10000 0
10001 01/01/2022 12 01/05/2022 10000 0 0 0
10001 01/01/2022 12 01/06/2022 10000 0 0 0
10001 01/01/2022 12 01/07/2022 10000 0 0 0
10001 01/01/2022 12 01/08/2022 10000 30000 10000 20000
10001 01/01/2022 12 01/09/2022 10000 2500 10000 12500
10001 01/01/2022 12 01/10/2022 10000 0 10000 2500
10001 01/01/2022 12 01/11/2022 10000 0 2500 0
10001 01/01/2022 12 01/12/2022 10000 0 0 0
10002 01/01/2022 8 01/03/2022 5000 12000 5000 7000
10002 01/01/2022 8 01/04/2022 5000 1000 5000 3000
10002 01/01/2022 8 01/05/2022 5000 0 3000 0
10002 01/01/2022 8 01/06/2022 5000 0 0 0
10002 01/01/2022 8 01/07/2022 5000 10000 5000 5000
10002 01/01/2022 8 01/08/2022 5000 0 5000 0
10002 01/01/2022 8 01/09/2022 5000 0 0 0
10002 01/01/2022 8 01/10/2022 5000 0 0 0

I can't use SUM() OVER(ORDER BY MONTH ROWS UNBOUNDED PRECEDING) because even though the achievements in May, June and July were missed, the achieved column only looks forward, not backwards. I think the best way to achieve this would be to have an Overpayment column which is like a rolling sum of the previous overpayment values - the previously achieved value BUT if the overpayment was previously 0 then we have a month where there is an overpayment the previously rolling sum needs to be discarded and the overpayment value reset to the payment-target.

Simply put, I need overpayments to trickle to down the achieved columns over the months taking into consideration the payments made until overpayments are finished, ignoring any months where the target wasn't achieved.

答案1

得分: 1

以下是您提供的代码部分的翻译：

-- Creates an identifier each time an amount is collected 
-- and groups all subsequent records until the next amount is collected
与数据1
AS（选择*，
            SUM（CASE
                  WHEN amount_collected > 0 THEN 1
                  ELSE 0
                END）
              over（
                PARTITION BY contract_id
                ORDER BY collection_due_date ASC ROWS BETWEEN unbounded
              preceding
              AND
              CURRENT ROW）AS TRACKER
     FROM   trickle）
-- Provides a cumulative sum of the target/collected/balance amounts 
-- within each 'tracker' group. LAG(TRACKER) is needed for a subsequent step
，
     数据2
     AS（选择*，
            SUM（target）
              over（
                PARTITION BY contract_id, tracker
                ORDER BY collection_due_date ASC ROWS BETWEEN unbounded
              preceding
              AND
              CURRENT ROW）                        TARGET_RUNNING，
            SUM（amount_collected）
              over（
                PARTITION BY contract_id, tracker
                ORDER BY collection_due_date ASC ROWS BETWEEN unbounded
              preceding
              AND
              CURRENT ROW）                        AMT_COLL_RUNNING，
            SUM（amount_collected - target）
              over（
                PARTITION BY contract_id, tracker
                ORDER BY collection_due_date ASC ROWS BETWEEN unbounded
              preceding
              AND
              CURRENT ROW）                        BAL_RUNNING，
            Lag（tracker）
              over（
                PARTITION BY contract_id
                ORDER BY collection_due_date ASC） LAG_TRACKER
     FROM   数据1）
-- BAL_RUNNING is calculated using a windows function so lag_run_bal needs to be 
-- in another CTE as nested windows functions aren't allowed 
，
     数据3
     AS（选择*，
            Lag（bal_running）
              over（
                PARTITION BY contract_id
                ORDER BY collection_due_date ASC） LAG_RUN_BAL
     FROM   数据2）
-- Calculates the available balance
，
     数据4
     AS（选择*，
            CASE
              WHEN tracker <> lag_tracker
                   AND lag_run_bal > 0 THEN amt_coll_running + lag_run_bal
              ELSE amt_coll_running
            END AMT_COLL_RUNNING1
     FROM   数据3）
选择contract_id，
       collection_due_date，
       target，
       amount_collected，
       CASE
         WHEN target_running <= amt_coll_running1 THEN target
         ELSE 0
       END                                             ACHIEVED，
       Greatest(amt_coll_running1 - target_running, 0) OVERPAYMENT
FROM   数据4
ORDER  BY contract_id，
          collection_due_date ASC;

更新的解决方案

我认为您的输出表中可能有一个拼写错误：

Contract_ID Starting_Month Contract_Duration_In_Months Collection_Due_Date Target Amount_Collected Achieved Overpayment
10001 01/01/2022 12 01/09/2022 10000 2500 10000 12500
10001 01/01/2022 12 01/10/2022 10000 0 2500 0
10001 01/01/2022 12 01/11/2022 10000 0 0 0

应该是：

Contract_ID Starting_Month Contract_Duration_In_Months Collection_Due_Date Target Amount_Collected Achieved Overpayment
10001 01/01/2022 12 01/09/2022 10000 2500 10000 12500
10001 01/01/2022 12 01/10/2022 10000 0 10000 2500
10001 01/01/2022 12 01/11/2022 10000 0 2500 0

如果这是一个拼写错误，我认为这个SQL应该可以给您想要的结果：

WITH DATA0 AS (
SELECT 
*, 
NVL(
LAG(AMOUNT_COLLECTED) OVER (
PARTITION BY CONTRACT_ID 
ORDER BY 
COLLECTION_DUE_DATE ASC
), 
0
) LAG_AMT_COLL 
FROM 
TRICKLE
), 
DATA1 AS (
SELECT 
*, 
SUM(
CASE WHEN amount_collected > 0 
AND LAG_AMT_COLL = 0 THEN 1 ELSE 0 END
) over (
PARTITION BY contract_id 
ORDER BY 
collection_due_date ASC ROWS BETWEEN unbounded preceding 
AND CURRENT ROW
) AS TRACKER 
FROM 
DATA0
), 
DATA2 AS (
SELECT 
*, 
SUM(TARGET) OVER (
PARTITION BY CONTRACT_ID, 
TRACKER 
ORDER BY 
COLLECTION_DUE_DATE ASC ROWS BETWEEN UNBOUNDED PRECEDING 
AND CURRENT ROW
) TARGET_RUNNING, 
SUM(AMOUNT_COLLECTED) OVER (
PARTITION BY CONTRACT_ID, 
TRACKER 
ORDER BY 
COLLECTION_DUE_DATE ASC ROWS BETWEEN UNBOUNDED PRECEDING 
AND CURRENT ROW
) AMT_COLL_RUNNING, 
SUM(AMOUNT_COLLECTED - TARGET) OVER (
PARTITION BY CONTRACT_ID, 
TRACKER 
ORDER BY 
COLLECTION_DUE_DATE ASC ROWS BETWEEN UNBOUNDED PRECEDING 
AND CURRENT ROW
) BAL_RUNNING, 
Lag(tracker) over (
PARTITION BY contract_id 
ORDER BY 
collection_due_date ASC
) LAG_TRACKER 
FROM 
DATA1
), 
DATA3 AS (
SELECT 
*, 
GREATEST(BAL_RUNNING, 0) BAL_RUNNING1 
FROM 
DATA2
) 
SELECT 
CONTRACT_ID, 
STARTING_MONTH, 
CONTRACT_DURATION_IN_MONTHS, 
COLLECTION_DUE_DATE, 
TARGET, 
AMOUNT_COLLECTED, 
LEAST(
TARGET, 
NVL(
LAG(BAL_RUNNING1) over (
PARTITION BY contract_id 
ORDER BY 
collection_due_date ASC
), 
0
) + AMOUNT_COLLECTED
) ACHIEVED, 
Greatest(
amt_coll_running - target_running, 
<details>
<summary>英文:</summary>
Interesting challenge! Probably one of the hardest SQL questions I&#39;ve faced recently - so hopefully someone doesn&#39;t come along with a simpler/obvious solution :)
This appears to give the correct result based on the sample data provided. I&#39;ve split it up into multiple CTEs to hopefully make the logic clearer; some of the CTEs could probably be combined:
-- Creates an identifier each time an amount is collected 
-- and groups all subsequent records until the next amount is collected
WITH data1
AS (SELECT *,
SUM(CASE
WHEN amount_collected &gt; 0 THEN 1
ELSE 0
END)
over (
PARTITION BY contract_id
ORDER BY collection_due_date ASC ROWS BETWEEN unbounded
preceding
AND
CURRENT ROW) AS TRACKER
FROM   trickle)
-- Provides a cumulative sum of the target/collected/balance amounts 
-- within each &#39;tracker&#39; group. LAG(TRACKER) is needed for a subsequent step
,
data2
AS (SELECT *,
SUM(target)
over (
PARTITION BY contract_id, tracker
ORDER BY collection_due_date ASC ROWS BETWEEN unbounded
preceding
AND
CURRENT ROW)                        TARGET_RUNNING,
SUM(amount_collected)
over (
PARTITION BY contract_id, tracker
ORDER BY collection_due_date ASC ROWS BETWEEN unbounded
preceding
AND
CURRENT ROW)                        AMT_COLL_RUNNING,
SUM(amount_collected - target)
over (
PARTITION BY contract_id, tracker
ORDER BY collection_due_date ASC ROWS BETWEEN unbounded
preceding
AND
CURRENT ROW)                        BAL_RUNNING,
Lag(tracker)
over (
PARTITION BY contract_id
ORDER BY collection_due_date ASC) LAG_TRACKER
FROM   data1)
-- BAL_RUNNING is calculated using a windows function so lag_run_bal needs to be 
-- in another CTE as nested windows functions aren&#39;t allowed 
,
data3
AS (SELECT *,
Lag(bal_running)
over (
PARTITION BY contract_id
ORDER BY collection_due_date ASC) LAG_RUN_BAL
FROM   data2)
-- Calculates the available balance
,
data4
AS (SELECT *,
CASE
WHEN tracker &lt;&gt; lag_tracker
AND lag_run_bal &gt; 0 THEN amt_coll_running + lag_run_bal
ELSE amt_coll_running
END AMT_COLL_RUNNING1
FROM   data3)
SELECT contract_id,
collection_due_date,
target,
amount_collected,
CASE
WHEN target_running &lt;= amt_coll_running1 THEN target
ELSE 0
END                                             ACHIEVED,
Greatest(amt_coll_running1 - target_running, 0) OVERPAYMENT
FROM   data4
ORDER  BY contract_id,
collection_due_date ASC; 
**Updated Solution**
I think there may be a typo in your output table:
|Contract_ID|Starting_Month|Contract_Duration_In_Months|Collection_Due_Date|Target|Amount_Collected|Achieved|Overpayment|
|--|--|--|--|--|--|--|--|
|10001|01/01/2022|12|01/09/2022|10000|2500|10000|12500|
|10001|01/01/2022|12|01/10/2022|10000|0|2500|0|
|10001|01/01/2022|12|01/11/2022|10000|0|0|0|
should be:
|Contract_ID|Starting_Month|Contract_Duration_In_Months|Collection_Due_Date|Target|Amount_Collected|Achieved|Overpayment|
|--|--|--|--|--|--|--|--|
|10001|01/01/2022|12|01/09/2022|10000|2500|10000|12500|
|10001|01/01/2022|12|01/10/2022|10000|0|10000|2500|
|10001|01/01/2022|12|01/11/2022|10000|0|2500|0|
Assuming that is a typo and my correction is correct then this SQL should give you what you want:
WITH DATA0 AS (
SELECT 
*, 
NVL(
LAG(AMOUNT_COLLECTED) OVER (
PARTITION BY CONTRACT_ID 
ORDER BY 
COLLECTION_DUE_DATE ASC
), 
0
) LAG_AMT_COLL 
FROM 
TRICKLE
), 
DATA1 AS (
SELECT 
*, 
SUM(
CASE WHEN amount_collected &gt; 0 
AND LAG_AMT_COLL = 0 THEN 1 ELSE 0 END
) over (
PARTITION BY contract_id 
ORDER BY 
collection_due_date ASC ROWS BETWEEN unbounded preceding 
AND CURRENT ROW
) AS TRACKER 
FROM 
DATA0
), 
DATA2 AS (
SELECT 
*, 
SUM(TARGET) OVER (
PARTITION BY CONTRACT_ID, 
TRACKER 
ORDER BY 
COLLECTION_DUE_DATE ASC ROWS BETWEEN UNBOUNDED PRECEDING 
AND CURRENT ROW
) TARGET_RUNNING, 
SUM(AMOUNT_COLLECTED) OVER (
PARTITION BY CONTRACT_ID, 
TRACKER 
ORDER BY 
COLLECTION_DUE_DATE ASC ROWS BETWEEN UNBOUNDED PRECEDING 
AND CURRENT ROW
) AMT_COLL_RUNNING, 
SUM(AMOUNT_COLLECTED - TARGET) OVER (
PARTITION BY CONTRACT_ID, 
TRACKER 
ORDER BY 
COLLECTION_DUE_DATE ASC ROWS BETWEEN UNBOUNDED PRECEDING 
AND CURRENT ROW
) BAL_RUNNING, 
Lag(tracker) over (
PARTITION BY contract_id 
ORDER BY 
collection_due_date ASC
) LAG_TRACKER 
FROM 
DATA1
), 
DATA3 AS (
SELECT 
*, 
GREATEST(BAL_RUNNING, 0) BAL_RUNNING1 
FROM 
DATA2
) 
SELECT 
CONTRACT_ID, 
STARTING_MONTH, 
CONTRACT_DURATION_IN_MONTHS, 
COLLECTION_DUE_DATE, 
TARGET, 
AMOUNT_COLLECTED, 
LEAST(
TARGET, 
NVL(
LAG(BAL_RUNNING1) over (
PARTITION BY contract_id 
ORDER BY 
collection_due_date ASC
), 
0
) + AMOUNT_COLLECTED
) ACHIEVED, 
Greatest(
amt_coll_running - target_running, 
0
) OVERPAYMENT 
FROM 
DATA3 
ORDER BY 
CONTRACT_ID, 
COLLECTION_DUE_DATE
</details>

huangapple
  • 本文由 发表于 2023年7月5日 01:09:13
  • 转载请务必保留本文链接：https://go.coder-hub.com/76614690.html
  • amazon-redshift
  • amazon-web-services
  • datagrip
  • sql
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