如何基于每日股票报告编写股票突变SQL

我正在向我的数据库（Microsoft SQL server）提供每日库存报告，并希望使用SQL报告每日出货产品/数量。每批进货都会得到一个inboundID，每个产品都知道这些ID。 对于输出数量，我的意思是两件事：

• 如果第二天相同inboundID的1个产品数量减少
• 如果已知的inboundID（如前所示）从库存报告中消失，则此inboundID的最后一个已知库存将报告出站数量

我可以通过SQL查询获取基于此的出站报告吗

在此，样本库存报告：

+-------------+------------------------------+-----------+------------+-----------+
| ArticleCode |         Description          | InboundID | TotalStock |   Date    |
+-------------+------------------------------+-----------+------------+-----------+
| BAM131-L    | Jacket in piqu? Georgia L    |  53800222 |        550 | yesterday |
| BAM131-XXXL | Jacket in piqu? Georgia XXXL |  53800220 |      18000 | yesterday |
| BAM133-XXXL | Shirt piqu? Dave XXXL        |  53800220 |      18000 | yesterday |
| BAM133-XL   | Shirt piqu? Dave XL          |  53800222 |          1 | yesterday |
| BAM133-XXL  | Shirt piqu? Dave XXL         |  53800215 |       1800 | yesterday |
| BAM133-S    | Shirt piqu? Dave S           |  53800215 |        787 | yesterday |
| BAM133-M    | Shirt piqu? Dave M           |  53800215 |         59 | yesterday |
| BAM133-L    | Shirt piqu? Dave L           |  53800218 |         50 | yesterday |
| BAM134-XXL  | Shirt Piqu? Lop XXL          |  53800215 |        700 | yesterday |
| BAM134-L    | Shirt Piqu? Lop L            |  53800218 |        300 | yesterday |
| BAM134-S    | Shirt Piqu? Lop S            |  53800218 |        750 | yesterday |
| BAM134-XL   | Shirt Piqu? Lop XL           |  53800218 |          5 | yesterday |
| BAM134-XS   | Shirt Piqu? Lop XS           |  53800215 |         89 | yesterday |
| BAM135-XL   | Coat Leather Jumper XL       |  53800218 |          1 | yesterday |
| BAM135-L    | Coat Leather Jumper L        |  53800300 |          2 | yesterday |
| BAM135-XXXL | Coat Leather Jumper XXXL     |  53800215 |         60 | yesterday |
| BAM135-XXL  | Coat Leather Jumper XXL      |  53800218 |        297 | yesterday |
+-------------+------------------------------+-----------+------------+-----------+

+-------------+------------------------------+-----------+------------+-----------+
| ArticleCode |         Description          | InboundID | TotalStock |   Date    |
+-------------+------------------------------+-----------+------------+-----------+
| BAM131-L    | Jacket in piqu? Georgia L    |  53800222 |        500 | today|
| BAM131-XXXL | Jacket in piqu? Georgia XXXL |  53800220 |      18000 | today|
| BAM133-XXXL | Shirt piqu? Dave XXXL        |  53800220 |      18000 | today|
| BAM133-XL   | Shirt piqu? Dave XL          |  53800222 |          1 | today|
| BAM133-XXL  | Shirt piqu? Dave XXL         |  53800215 |       1800 | today|
| BAM133-S    | Shirt piqu? Dave S           |  53800215 |        787 | today|
| BAM133-M    | Shirt piqu? Dave M           |  53800215 |         59 | today|
| BAM133-L    | Shirt piqu? Dave L           |  53800218 |         50 | today|
| BAM134-XXL  | Shirt Piqu? Lop XXL          |  53800215 |        700 | today|
| BAM134-L    | Shirt Piqu? Lop L            |  53800218 |        300 | today|
| BAM134-S    | Shirt Piqu? Lop S            |  53800218 |        750 | today|
| BAM134-XL   | Shirt Piqu? Lop XL           |  53800218 |          5 | today|
    | BAM134-XS   | Shirt Piqu? Lop XS           |  53800215 |         89 | today|
    | BAM135-XL   | Coat Leather Jumper XL       |  53800218 |          1 | today|
 today|
    | BAM135-XXXL | Coat Leather Jumper XXXL     |  53800215 |         60 | today|
    | BAM135-XXL  | Coat Leather Jumper XXL      |  53800218 |        297 | today|
    +-------------+------------------------------+-----------+------------+-----------+

预期结果：

        +-------------+------------------------------+-----------+------------+-----------+
        | ArticleCode |         Description          | InboundID | Gone       |   Date    |
        +-------------+------------------------------+-----------+------------+-----------+
        | BAM131-L    | Jacket in piqu? Georgia L    |  53800222 |          50|      today|
        | BAM131-XXXL | Coat Leather Jumper L        |  53800300 |           2|      today|
        +-------------+------------------------------+-----------+------------+-----------+

---

用您正在使用的数据库标记您的问题。提供示例数据和所需结果。我使用Microsoft SQL Server确定您提供了Gordon要求的第一部分。样本数据和预期结果如何？这是一个很好的起点。谢谢你的建议，我第一次在这里发帖，所以请为我的错误道歉。。。

Select Y.ArticleCode, Y.Description, Y.InboundId, (Y.TotalStock - ISNULL(T.TotalStock,0)) Gone, T.Date
From Yesterday Y
Left Join Today T
On Y.ArticleCode = T.ArticleCode
And Y.InboundID = T.InboundID