SQL 具有多个条件的多个计数列

Posted 2023-03-25

【中文标题】SQL 具有多个条件的多个计数列

【英文标题】：SQL Multiple count columns with multiple conditionS

【发布时间】：2018-04-06 14:50:25

【问题描述】：

我正在尝试从每天更新的表“Data_Table”中收集一些基本统计信息。每行代表一个案例，可由具有唯一 ID 的操作员打开/关闭/取消。我希望能够显示每个操作员前一天执行的操作的计数。所以从 Data_Table 到 Ideal 表。

数据表

|  LOCATION |   DATE   | REFERENCE | OPENED_ID | CLOSED_ID | CANCELLED_ID  |
|    NYC    | 20180102 |  123451   |    123    |    234    |      0        |
|    TEX    | 20180102 |  123452   |    345    |    123    |      0        |
|    NYC    | 20180102 |  123453   |    345    |     0     |     123       |
|    TEX    | 20180102 |  123453   |    234    |     0     |     123       |

---

理想表

|  LOCATION |   DATE   | USER_ID | OPEN | CLOSED | CANCELLED  |
|    NYC    | 20180102 |  123    |  1   |   0    |     1      |  
|    NYC    | 20180102 |  234    |  0   |   1    |     0      |
|    NYC    | 20180102 |  345    |  1   |   0    |     0      |
|    TEX    | 20180102 |  123    |  0   |   1    |     1      |
|    TEX    | 20180102 |  234    |  1   |   0    |     0      |
|    TEX    | 20180102 |  345    |  1   |   0    |     0      |

用户 123 于日期 20180102...等在 NYC 开了 1 个案例并取消了 1 个案例。

我对每个站点中的每个操作进行了一些小查询，如下所示：

SELECT LOCATION, DATE, OPENED_ID, COUNT(DISTINCT [DATA_TABLE].REFERENCE)
FROM [DATA_TABLE]
WHERE DATE = CONVERT(DATE,GETDATE()-1)
AND LOCATION = 'NYC'
AND OPENED_ID in (SELECT NYC FROM [OP_ID_TABLE]WHERE [DATE FINISH] > GETDATE() )
GROUP BY OPENED_ID, LOCATION, DATE
ORDER BY LOCATION

然后对每个操作员操作的每个位置重复此查询。之后，我在 excel 中进行了一些凌乱的 vlookups 以将其组织成理想的表格格式，这在日常的基础上是..不理想的。

我尝试了一些求和函数，但没有任何运气。

任何帮助将不胜感激。

【问题讨论】：

用您正在使用的数据库标记您的问题。

【参考方案1】：

您需要取消透视并重新聚合。一种方法使用union all和group by：

select location, date, user_id,
       sum(opened) as opens, sum(closed) as closes, sum(cancelled) as cancels
from ((select location, date, opened_id as user_id, 1 as opened, 0 as closed, 0 as cancelled
       from t
      ) union all
      (select location, date, closed_id as user_id, 0 as opened, 1 as closed, 0 as cancelled
       from t
      ) union all
      (select location, date, cancelled_id as user_id, 0 as opened, 0 as closed, 1 as cancelled
       from t
      )
     ) t
group by location, date, user_id;

还有其他方法可以执行这些操作，具体取决于数据库。但是，这是 ANSI 标准语法。