Question

我认为这是可能的，但广泛的研究和无数小时的避风港都没有得到回报。

我是在仓库里销售产品。我知道什么时候我会收到货物，我有每日销售预测（数量）。我需要计算结束库存。它基本上是库存 - 预测的运行总和。

问题是，当我用完产品时，第二天我就不会有负库存，因为运行总额会提示。在我收到另一批货物之前，库存将为零。它可以在预测中多次降至零（远远超过下面的示例）。

Visual of the dataset (desired column in yellow)

这是我的实际查询：

SELECT FORECAST_DATE, DAYS_OUT, INBOUND_INVENTORY, FORECAST,
       ENDING_INVENTORY AS DESIRED_RESULT,
       SUM(INBOUND_INVENTORY) OVER (PARTITION BY NULL ORDER BY DAYS_OUT) -
           SUM(FORECAST) OVER (PARTITION BY NULL ORDER BY DAYS_OUT) AS ENDING_INVENTORY
FROM MRP

列

日期：预测日期（今天开始）
   Days Out ：今天和预测日期之间的天数
  入库库存：产品进入（今天，产品在这里）
  预测：我的预计销售数量
  结束广告资源：入库广告资源 - 预测+如果昨天的结束广告资源<= 0，那么昨天结束广告资源就是0。

Answer 1

这可能是正确的吗？它叫做递归公用表表达式。

WITH
cte_mrp as
(
    Select row_number() over (partition by null order by forecast_date) as line, mrp.*
    From mrp
),
RCTE (line, forecast_date, days_out, inbound_inventory, forecast, /*iteration, anchor,*/ ending_inventory) as
(
    Select line, forecast_date, days_out, inbound_inventory, forecast, /*0 iteration, 'anchor' anchor,*/
        CASE WHEN inbound_inventory-forecast < 0 THEN 0 ELSE inbound_inventory-forecast END ending_inventory
    From cte_mrp
    Where line = 1

    union all

    Select m.line, m.forecast_date, m.days_out, m.inbound_inventory, m.forecast, /*r.iteration + 1, 'rcte' anchor,*/
        CASE WHEN r.ending_inventory+m.inbound_inventory - m.forecast < 0 THEN 0 ELSE r.ending_inventory+m.inbound_inventory - m.forecast END ending_inventory
    From cte_mrp m
    Inner join rcte r on (r.line = (m.line-1))
)

Select * From RCTE;

Answer 2

这是使用MODEL子句（在Oracle 10中引入）的解决方案。

我没有添加forecast_date列 - days_out就足够了。

with
     inputs ( days_out, inbound_inventory, forecast ) as (
       select  0,  24,   0 from dual union all
       select  1,   0, 124 from dual union all
       select  2,   0, 154 from dual union all
       select  3,   0, 316 from dual union all
       select  4, 780, 119 from dual union all
       select  5, 780, 148 from dual union all
       select  6, 780, 123 from dual union all
       select  7,   0, 168 from dual union all
       select  8,   0, 323 from dual union all
       select  9,   0, 184 from dual union all
       select 10,   0, 331 from dual union all
       select 11,   0, 149 from dual union all
       select 12,   0, 431 from dual union all
       select 13,   0, 153 from dual union all
       select 14,   0, 183 from dual union all
       select 15,   0, 169 from dual union all
       select 16,   0, 169 from dual union all
       select 17, 780, 331 from dual
     )
select days_out, inbound_inventory, forecast, ending_inventory
from   inputs
model
  dimension by ( days_out )
  measures     ( inbound_inventory, forecast, 0 ending_inventory )
  rules update 
  iterate(1000000) until (previous(ending_inventory[iteration_number + 1]) is null)
  (
    ending_inventory[iteration_number] = 
           greatest ( 0, inbound_inventory[cv()] - forecast[cv()] 
                           + nvl(ending_inventory[cv() - 1], 0 )
                    )
  )
;

<强>输出：

  DAYS_OUT INBOUND_INVENTORY   FORECAST ENDING_INVENTORY
---------- ----------------- ---------- ----------------
         0                24          0               24
         1                 0        124                0
         2                 0        154                0
         3                 0        316                0
         4               780        119              661
         5               780        148             1293
         6               780        123             1950
         7                 0        168             1782
         8                 0        323             1459
         9                 0        184             1275
        10                 0        331              944
        11                 0        149              795
        12                 0        431              364
        13                 0        153              211
        14                 0        183               28
        15                 0        169                0
        16                 0        169                0
        17               780        331              449

18 rows selected.

零SQL时，Oracle SQL重置运行总和

2 个答案: