首页 > 解决方案 > 使用 Oracle SQL 窗口函数以部分数量满足多个需求的 SQL 查询

问题描述

我想解决一个在我的 SQL 历史中多次提出的抽象问题。如果我们想象我们是一家销售公司并谈论我们想要销售的零件(产品),那么这个抽象问题可以更好地实现,因此在不同的日期需要不同的数量。另一方面,我们有我们的“填充可能性”,例如来自库存、生产、在不同日期和数量的采购的数量。

我想仅使用一个查询(无程序,无临时表)来满足按所需日期和可用日期排序的需求。

作为技术基础,您可以假设有两个表:

在我的示例中,有两个需求:

我们有两个不同数量的“填充物”:

结果应该是:

SQL查询:

with
    NEED_TABLE
    as
        (select 'A' NEED_ID, 123 partno, to_date('01/02/2019', 'MM/DD/YYYY') DATE_NEEDED, 4 NEED_QTY from dual
         union all
         select 'B' NEED_ID, 123 partno, to_date('06/02/2019', 'MM/DD/YYYY') DATE_NEEDED, 2 NEED_QTY from dual),
    FILL_TABLE
    as
        (select 'X' FILL_ID, 123 partno, to_date('01/01/2019', 'MM/DD/YYYY') DATE_AVAILABLE, 2 FILL_QTY from dual
         union all
         select 'Y' FILL_ID, 123 partno, to_date('06/01/2019', 'MM/DD/YYYY') DATE_AVAILABLE, 4 FILL_QTY from dual)
select   NEED_TABLE.NEED_ID
       , NEED_TABLE.PARTNO
       , NEED_TABLE.DATE_NEEDED
       , NEED_TABLE.NEED_QTY
       , FILL_TABLE.FILL_ID
       , FILL_TABLE.DATE_AVAILABLE
       , FILL_TABLE.FILL_QTY
       /* all following is wrong/incomplete */
       , lag(need_QTY - fill_QTY, 1, need_QTY)
             over(
                 partition by NEED_ID
                 order by DATE_NEEDED, DATE_AVAILABLE) REAL_NEED_QTY
       , greatest(
               lag(need_QTY - fill_QTY, 1, need_QTY)
                   over(
                       partition by NEED_ID
                       order by DATE_NEEDED, DATE_AVAILABLE)
             - FILL_QTY
           , 0) LEFT_NEED_QTY
       , abs(
             least(
                   lag(need_QTY - fill_QTY, 1, need_QTY)
                       over(
                           partition by NEED_ID
                           order by DATE_NEEDED, DATE_AVAILABLE)
                 - FILL_QTY
               , 0)) LEFT_FILL_QTY
    from NEED_TABLE, FILL_TABLE
order by DATE_NEEDED, DATE_AVAILABLE;

如果您检查该查询的结果,第一个 NEED_ID“A”似乎一切正常。但是当它继续使用 NEED_ID“B”时,它不记得在填充需求“A”时 FILL_ID X 和 Y 已经减少了。

我期望结果如下:

NEED_ID A is filled by FILL_ID X qty 2

NEED_ID A is filled by FILL_ID Y qty 2

(NEED_ID A is filled by FILL_ID X qty 0)

NEED_ID B is filled by FILL_ID Y qty 2

需要表:

| NEED_ID | PARTNO | DATE_NEEDED | NEED_QTY |
|---------|--------|-------------|----------|
| A       | 123    | 01/02/2019  | 4        |
| B       | 123    | 06/02/2019  | 2        |

填充表:

| FILL_ID | PARTNO | DATE_AVAILABLE | FILL_QTY |
|---------|--------|----------------|----------|
| X       | 123    | 01/01/2019     | 2        |
| Y       | 123    | 06/01/2019     | 4        |

预期查询结果:

| NEED_ID | PARTNO | DATE_NEEDED | NEED_QTY | FILL_ID | DATE_AVAILABLE | FILL_QTY | ***REAL_FILL*** | "WHY?"                                                              |
|---------|--------|-------------|----------|---------|----------------|----------|-----------------|---------------------------------------------------------------------|
| A       | 123    | 01/02/2019  | 4        | X       | 01/01/2019     | 2        | 2               | A needs 4, gets partially filled by X by 2                          |
| A       | 123    | 01/02/2019  | 4        | Y       | 06/01/2019     | 4        | 2               | A still needs 2, gets completely filled by Y by 2                   |
| B       | 123    | 06/02/2019  | 2        | X       | 01/01/2019     | 2        | 0               | B needs 2, can't get filled by X, because A already used that qty   |
| B       | 123    | 06/02/2019  | 2        | Y       | 06/01/2019     | 4        | 2               | B still needs 2, gets completely filled by remaining qty of Y, by 2 |

非常感谢任何帮助-谢谢!

标签: sqloraclewindow-functions

解决方案


这是我的尝试:

with 
  need(rn, nid, nq) as (
    select 1, 'A', 4 from dual union all 
    select 2, 'B', 2 from dual ),
  fill(rf, fid, fq) as (
    select 1, 'X', 2 from dual union all 
    select 2, 'Y', 4 from dual ),
  u as (
    select rn, nid, -nq nq, null rf, null fid, null fq from need
    union all select null, null, null, rf, fid, fq from fill),
  c (crn, cnid, cnq, crf, cfid, cfq, rest, amt) as (
    select rn, nid, nq, 0, fid, fq, nq, 0 from u where rn = 1
    union all 
    select nvl(rn, crn), nvl(nid, cnid), nvl(nq, cnq), 
           nvl(rf, crf), nvl(fid, cfid), nvl(fq, cfq), rest + nvl(nq, fq), 
           least(abs(rest), abs(nvl(nq, fq)))
      from c 
      join u on rest >= 0 and rn = crn + 1 
             or rest <  0 and rf = crf + 1 )
select cnid, cfid, amt from c where amt <> 0

我简化了数据,但partno可以很容易地添加到连接中,并且partition by正确的 row_numbers 和日期仅对排序行很重要。如果它们有更多含义,现在可以添加它们,但让我们从更清晰的东西开始。

这个怎么运作。need并且fill是我们的数据源。u是这些表与需要的联合,并在单独的列中填充数据。需要这个联合才能使下一个查询正常工作。

c是递归 CTE,从 first fill开始。它是我们的锚。在下一步中,我添加(加入)填充需要行,具体取决于我们在之前获得的内容rest。如果剩余值低于零,则意味着我们必须寻找下一个填充行。如果它更大,则意味着我们从填充中获得了盈余,我们可以寻找下一个需求。在每个步骤中,都会计算交易金额,该金额等于先前休息和当前加入的填充/需要的较低值。

最后我取交易的金额和双方。测试了一些例子。

演示


推荐阅读