我在该网站上进行了很多搜索，试图找到解决问题的方法，但我也发现了类似的问题，但是我没有找到适合我情况的解决方案。
我有一个票务表，像这样（它的数据比这多得多）：
TICKET ：
+---------+--------------+------------+------------+
| ticketid| report_date | impact | open |
+---------+--------------+------------+------------+
| 1 | 29/01/2019 | 1 | true |
| 2 | 29/01/2019 | 2 | true |
| 3 | 30/01/2019 | 4 | true |
| 4 | 27/01/2019 | 1 | true |
| 5 | 29/01/2019 | 1 | true |
| 6 | 30/01/2019 | 2 | true |
+---------+--------------+------------+------------+
还有另一个表保存了上表中影响列的可能值：
IMPACT ：
+---------+
| impact |
+---------+
| 1 |
| 2 |
| 3 |
| 4 |
+---------+
我的目标是从票证表中提取一个结果集，在该表中我按impact，report_date和open标志进行分组，并计算每个组中的票证数量。因此，对于上面的示例，我想提取以下结果集。
+--------------+------------+------------+-----------+
| report_date | impact | open | tkt_count |
+--------------+------------+------------+-----------+
| 27/01/2019 | 1 | true | 1 |
| 27/01/2019 | 1 | false | 0 |
| 27/01/2019 | 2 | true | 0 |
| 27/01/2019 | 2 | false | 0 |
| 27/01/2019 | 3 | true | 0 |
| 27/01/2019 | 3 | false | 0 |
| 27/01/2019 | 4 | true | 0 |
| 27/01/2019 | 4 | false | 0 |
| 29/01/2019 | 1 | true | 2 |
| 29/01/2019 | 1 | false | 0 |
| 29/01/2019 | 2 | true | 1 |
| 29/01/2019 | 2 | false | 0 |
| 29/01/2019 | 3 | true | 0 |
| 29/01/2019 | 3 | false | 0 |
| 29/01/2019 | 4 | true | 0 |
| 29/01/2019 | 4 | false | 0 |
| 30/01/2019 | 1 | true | 0 |
| 30/01/2019 | 1 | false | 0 |
| 30/01/2019 | 2 | true | 1 |
| 30/01/2019 | 2 | false | 0 |
| 30/01/2019 | 3 | true | 0 |
| 30/01/2019 | 3 | false | 0 |
| 30/01/2019 | 4 | true | 1 |
| 30/01/2019 | 4 | false | 0 |
+--------------+------------+------------+-----------+
这看起来很简单，但是问题出在“零”行上。
对于我在此显示的示例，在给定的日期范围内，没有影响力为3的票证或标志为开放标志的票证。而且我无法提出一个查询来显示所有计数，即使没有行包含某些值。
有人可以帮助我吗？
谢谢。
答案 0 :(得分：3)
要解决此类问题，一种解决方法是生成一个中间结果集，该结果集包含需要为其计算值的所有记录，然后使用聚合将其与原始数据LEFT JOIN合并。 / p>
SELECT
dt.report_date,
i.impact,
op.[open],
COUNT(t.report_date) tkt_count
FROM
(SELECT DISTINCT report_date FROM ticket) dt
CROSS JOIN impact i
CROSS JOIN (SELECT 'true' [open] UNION ALL SELECT 'false') op
LEFT JOIN ticket t
ON t.report_date = dt.report_date
AND t.impact = i.impact
AND t.[open] = op.[open]
GROUP BY
dt.report_date,
i.impact,
op.[open]
此查询生成中间结果集，如下所示：
report_date：原始数据（report_date）中所有不同的日期impact：包含表impact open：包含true或false的固定列表（也可以根据原始数据中的不同值构建，但是值false不可用是您的示例数据）您可以选择更改上述规则，逻辑应保持不变。例如，如果report_date中有空格，则另一个广泛使用的选项是创建日历表。
report_date | impact | open | tkt_count
:------------------ | -----: | :---- | --------:
27/01/2019 00:00:00 | 1 | false | 0
27/01/2019 00:00:00 | 1 | true | 1
27/01/2019 00:00:00 | 2 | false | 0
27/01/2019 00:00:00 | 2 | true | 0
27/01/2019 00:00:00 | 3 | false | 0
27/01/2019 00:00:00 | 3 | true | 0
27/01/2019 00:00:00 | 4 | false | 0
27/01/2019 00:00:00 | 4 | true | 0
29/01/2019 00:00:00 | 1 | false | 0
29/01/2019 00:00:00 | 1 | true | 2
29/01/2019 00:00:00 | 2 | false | 0
29/01/2019 00:00:00 | 2 | true | 1
29/01/2019 00:00:00 | 3 | false | 0
29/01/2019 00:00:00 | 3 | true | 0
29/01/2019 00:00:00 | 4 | false | 0
29/01/2019 00:00:00 | 4 | true | 0
30/01/2019 00:00:00 | 1 | false | 0
30/01/2019 00:00:00 | 1 | true | 0
30/01/2019 00:00:00 | 2 | false | 0
30/01/2019 00:00:00 | 2 | true | 1
30/01/2019 00:00:00 | 3 | false | 0
30/01/2019 00:00:00 | 3 | true | 0
30/01/2019 00:00:00 | 4 | false | 0
30/01/2019 00:00:00 | 4 | true | 1
答案 1 :(得分：0)
我按天在开始和结束日历表上查询，然后交叉加入所有可用的影响/公开组合，最后在票证数据中购买了，计算非空匹配数。
DECLARE @Impact TABLE(Impact INT) INSERT @Impact VALUES(1),(2),(3),(4) DECLARE @Tickets TABLE(report_date DATETIME, Impact INT, IsOpen BIT) INSERT @Tickets VALUES ('01/29/2019',1,1),('01/29/2019',2,1),('01/30/2019',3,1),('01/27/2019',4,1),('01/29/2019',5,1),('01/30/2019',6,1) DECLARE @StartDate DATETIME='01/01/2019' DECLARE @EndDate DATETIME='02/01/2019' ;WITH AllDates AS ( SELECT Date = @StartDate UNION ALL SELECT Date= DATEADD(DAY, 1, Date) FROM AllDates WHERE DATEADD(DAY, 1,Date) <= @EndDate ) ,AllImpacts AS ( SELECT DISTINCT Impact,IsOpen = 1 FROM @Impact UNION SELECT DISTINCT Impact,IsOpen = 0 FROM @Impact ), AllData AS ( SELECT D.Date,A.impact,A.IsOpen FROM AllDates D CROSS APPLY AllImpacts A ) SELECT A.Date,A.Impact,A.IsOpen, GroupCount = COUNT(T.Impact) FROM AllData A LEFT OUTER JOIN @Tickets T ON T.report_date=A.Date AND T.Impact=A.Impact AND T.IsOpen = A.IsOpen GROUP BY A.Date,A.Impact,A.IsOpen ORDER BY A.Date,A.Impact,A.IsOpen OPTION (MAXRECURSION 0); GODate | Impact | IsOpen | GroupCount :------------------ | -----: | -----: | ---------: 01/01/2019 00:00:00 | 1 | 0 | 0 01/01/2019 00:00:00 | 1 | 1 | 0 01/01/2019 00:00:00 | 2 | 0 | 0 01/01/2019 00:00:00 | 2 | 1 | 0 01/01/2019 00:00:00 | 3 | 0 | 0 01/01/2019 00:00:00 | 3 | 1 | 0 01/01/2019 00:00:00 | 4 | 0 | 0 01/01/2019 00:00:00 | 4 | 1 | 0 02/01/2019 00:00:00 | 1 | 0 | 0 02/01/2019 00:00:00 | 1 | 1 | 0 02/01/2019 00:00:00 | 2 | 0 | 0 02/01/2019 00:00:00 | 2 | 1 | 0 02/01/2019 00:00:00 | 3 | 0 | 0 02/01/2019 00:00:00 | 3 | 1 | 0 02/01/2019 00:00:00 | 4 | 0 | 0 02/01/2019 00:00:00 | 4 | 1 | 0 03/01/2019 00:00:00 | 1 | 0 | 0 03/01/2019 00:00:00 | 1 | 1 | 0 03/01/2019 00:00:00 | 2 | 0 | 0 03/01/2019 00:00:00 | 2 | 1 | 0 03/01/2019 00:00:00 | 3 | 0 | 0 03/01/2019 00:00:00 | 3 | 1 | 0 03/01/2019 00:00:00 | 4 | 0 | 0 03/01/2019 00:00:00 | 4 | 1 | 0 04/01/2019 00:00:00 | 1 | 0 | 0 04/01/2019 00:00:00 | 1 | 1 | 0 04/01/2019 00:00:00 | 2 | 0 | 0 04/01/2019 00:00:00 | 2 | 1 | 0 04/01/2019 00:00:00 | 3 | 0 | 0 04/01/2019 00:00:00 | 3 | 1 | 0 04/01/2019 00:00:00 | 4 | 0 | 0 04/01/2019 00:00:00 | 4 | 1 | 0 05/01/2019 00:00:00 | 1 | 0 | 0 05/01/2019 00:00:00 | 1 | 1 | 0 05/01/2019 00:00:00 | 2 | 0 | 0 05/01/2019 00:00:00 | 2 | 1 | 0 05/01/2019 00:00:00 | 3 | 0 | 0 05/01/2019 00:00:00 | 3 | 1 | 0 05/01/2019 00:00:00 | 4 | 0 | 0 05/01/2019 00:00:00 | 4 | 1 | 0 06/01/2019 00:00:00 | 1 | 0 | 0 06/01/2019 00:00:00 | 1 | 1 | 0 06/01/2019 00:00:00 | 2 | 0 | 0 06/01/2019 00:00:00 | 2 | 1 | 0 06/01/2019 00:00:00 | 3 | 0 | 0 06/01/2019 00:00:00 | 3 | 1 | 0 06/01/2019 00:00:00 | 4 | 0 | 0 06/01/2019 00:00:00 | 4 | 1 | 0 07/01/2019 00:00:00 | 1 | 0 | 0 07/01/2019 00:00:00 | 1 | 1 | 0 07/01/2019 00:00:00 | 2 | 0 | 0 07/01/2019 00:00:00 | 2 | 1 | 0 07/01/2019 00:00:00 | 3 | 0 | 0 07/01/2019 00:00:00 | 3 | 1 | 0 07/01/2019 00:00:00 | 4 | 0 | 0 07/01/2019 00:00:00 | 4 | 1 | 0 08/01/2019 00:00:00 | 1 | 0 | 0 08/01/2019 00:00:00 | 1 | 1 | 0 08/01/2019 00:00:00 | 2 | 0 | 0 08/01/2019 00:00:00 | 2 | 1 | 0 08/01/2019 00:00:00 | 3 | 0 | 0 08/01/2019 00:00:00 | 3 | 1 | 0 08/01/2019 00:00:00 | 4 | 0 | 0 08/01/2019 00:00:00 | 4 | 1 | 0 09/01/2019 00:00:00 | 1 | 0 | 0 09/01/2019 00:00:00 | 1 | 1 | 0 09/01/2019 00:00:00 | 2 | 0 | 0 09/01/2019 00:00:00 | 2 | 1 | 0 09/01/2019 00:00:00 | 3 | 0 | 0 09/01/2019 00:00:00 | 3 | 1 | 0 09/01/2019 00:00:00 | 4 | 0 | 0 09/01/2019 00:00:00 | 4 | 1 | 0 10/01/2019 00:00:00 | 1 | 0 | 0 10/01/2019 00:00:00 | 1 | 1 | 0 10/01/2019 00:00:00 | 2 | 0 | 0 10/01/2019 00:00:00 | 2 | 1 | 0 10/01/2019 00:00:00 | 3 | 0 | 0 10/01/2019 00:00:00 | 3 | 1 | 0 10/01/2019 00:00:00 | 4 | 0 | 0 10/01/2019 00:00:00 | 4 | 1 | 0 11/01/2019 00:00:00 | 1 | 0 | 0 11/01/2019 00:00:00 | 1 | 1 | 0 11/01/2019 00:00:00 | 2 | 0 | 0 11/01/2019 00:00:00 | 2 | 1 | 0 11/01/2019 00:00:00 | 3 | 0 | 0 11/01/2019 00:00:00 | 3 | 1 | 0 11/01/2019 00:00:00 | 4 | 0 | 0 11/01/2019 00:00:00 | 4 | 1 | 0 12/01/2019 00:00:00 | 1 | 0 | 0 12/01/2019 00:00:00 | 1 | 1 | 0 12/01/2019 00:00:00 | 2 | 0 | 0 12/01/2019 00:00:00 | 2 | 1 | 0 12/01/2019 00:00:00 | 3 | 0 | 0 12/01/2019 00:00:00 | 3 | 1 | 0 12/01/2019 00:00:00 | 4 | 0 | 0 12/01/2019 00:00:00 | 4 | 1 | 0 13/01/2019 00:00:00 | 1 | 0 | 0 13/01/2019 00:00:00 | 1 | 1 | 0 13/01/2019 00:00:00 | 2 | 0 | 0 13/01/2019 00:00:00 | 2 | 1 | 0 13/01/2019 00:00:00 | 3 | 0 | 0 13/01/2019 00:00:00 | 3 | 1 | 0 13/01/2019 00:00:00 | 4 | 0 | 0 13/01/2019 00:00:00 | 4 | 1 | 0 14/01/2019 00:00:00 | 1 | 0 | 0 14/01/2019 00:00:00 | 1 | 1 | 0 14/01/2019 00:00:00 | 2 | 0 | 0 14/01/2019 00:00:00 | 2 | 1 | 0 14/01/2019 00:00:00 | 3 | 0 | 0 14/01/2019 00:00:00 | 3 | 1 | 0 14/01/2019 00:00:00 | 4 | 0 | 0 14/01/2019 00:00:00 | 4 | 1 | 0 15/01/2019 00:00:00 | 1 | 0 | 0 15/01/2019 00:00:00 | 1 | 1 | 0 15/01/2019 00:00:00 | 2 | 0 | 0 15/01/2019 00:00:00 | 2 | 1 | 0 15/01/2019 00:00:00 | 3 | 0 | 0 15/01/2019 00:00:00 | 3 | 1 | 0 15/01/2019 00:00:00 | 4 | 0 | 0 15/01/2019 00:00:00 | 4 | 1 | 0 16/01/2019 00:00:00 | 1 | 0 | 0 16/01/2019 00:00:00 | 1 | 1 | 0 16/01/2019 00:00:00 | 2 | 0 | 0 16/01/2019 00:00:00 | 2 | 1 | 0 16/01/2019 00:00:00 | 3 | 0 | 0 16/01/2019 00:00:00 | 3 | 1 | 0 16/01/2019 00:00:00 | 4 | 0 | 0 16/01/2019 00:00:00 | 4 | 1 | 0 17/01/2019 00:00:00 | 1 | 0 | 0 17/01/2019 00:00:00 | 1 | 1 | 0 17/01/2019 00:00:00 | 2 | 0 | 0 17/01/2019 00:00:00 | 2 | 1 | 0 17/01/2019 00:00:00 | 3 | 0 | 0 17/01/2019 00:00:00 | 3 | 1 | 0 17/01/2019 00:00:00 | 4 | 0 | 0 17/01/2019 00:00:00 | 4 | 1 | 0 18/01/2019 00:00:00 | 1 | 0 | 0 18/01/2019 00:00:00 | 1 | 1 | 0 18/01/2019 00:00:00 | 2 | 0 | 0 18/01/2019 00:00:00 | 2 | 1 | 0 18/01/2019 00:00:00 | 3 | 0 | 0 18/01/2019 00:00:00 | 3 | 1 | 0 18/01/2019 00:00:00 | 4 | 0 | 0 18/01/2019 00:00:00 | 4 | 1 | 0 19/01/2019 00:00:00 | 1 | 0 | 0 19/01/2019 00:00:00 | 1 | 1 | 0 19/01/2019 00:00:00 | 2 | 0 | 0 19/01/2019 00:00:00 | 2 | 1 | 0 19/01/2019 00:00:00 | 3 | 0 | 0 19/01/2019 00:00:00 | 3 | 1 | 0 19/01/2019 00:00:00 | 4 | 0 | 0 19/01/2019 00:00:00 | 4 | 1 | 0 20/01/2019 00:00:00 | 1 | 0 | 0 20/01/2019 00:00:00 | 1 | 1 | 0 20/01/2019 00:00:00 | 2 | 0 | 0 20/01/2019 00:00:00 | 2 | 1 | 0 20/01/2019 00:00:00 | 3 | 0 | 0 20/01/2019 00:00:00 | 3 | 1 | 0 20/01/2019 00:00:00 | 4 | 0 | 0 20/01/2019 00:00:00 | 4 | 1 | 0 21/01/2019 00:00:00 | 1 | 0 | 0 21/01/2019 00:00:00 | 1 | 1 | 0 21/01/2019 00:00:00 | 2 | 0 | 0 21/01/2019 00:00:00 | 2 | 1 | 0 21/01/2019 00:00:00 | 3 | 0 | 0 21/01/2019 00:00:00 | 3 | 1 | 0 21/01/2019 00:00:00 | 4 | 0 | 0 21/01/2019 00:00:00 | 4 | 1 | 0 22/01/2019 00:00:00 | 1 | 0 | 0 22/01/2019 00:00:00 | 1 | 1 | 0 22/01/2019 00:00:00 | 2 | 0 | 0 22/01/2019 00:00:00 | 2 | 1 | 0 22/01/2019 00:00:00 | 3 | 0 | 0 22/01/2019 00:00:00 | 3 | 1 | 0 22/01/2019 00:00:00 | 4 | 0 | 0 22/01/2019 00:00:00 | 4 | 1 | 0 23/01/2019 00:00:00 | 1 | 0 | 0 23/01/2019 00:00:00 | 1 | 1 | 0 23/01/2019 00:00:00 | 2 | 0 | 0 23/01/2019 00:00:00 | 2 | 1 | 0 23/01/2019 00:00:00 | 3 | 0 | 0 23/01/2019 00:00:00 | 3 | 1 | 0 23/01/2019 00:00:00 | 4 | 0 | 0 23/01/2019 00:00:00 | 4 | 1 | 0 24/01/2019 00:00:00 | 1 | 0 | 0 24/01/2019 00:00:00 | 1 | 1 | 0 24/01/2019 00:00:00 | 2 | 0 | 0 24/01/2019 00:00:00 | 2 | 1 | 0 24/01/2019 00:00:00 | 3 | 0 | 0 24/01/2019 00:00:00 | 3 | 1 | 0 24/01/2019 00:00:00 | 4 | 0 | 0 24/01/2019 00:00:00 | 4 | 1 | 0 25/01/2019 00:00:00 | 1 | 0 | 0 25/01/2019 00:00:00 | 1 | 1 | 0 25/01/2019 00:00:00 | 2 | 0 | 0 25/01/2019 00:00:00 | 2 | 1 | 0 25/01/2019 00:00:00 | 3 | 0 | 0 25/01/2019 00:00:00 | 3 | 1 | 0 25/01/2019 00:00:00 | 4 | 0 | 0 25/01/2019 00:00:00 | 4 | 1 | 0 26/01/2019 00:00:00 | 1 | 0 | 0 26/01/2019 00:00:00 | 1 | 1 | 0 26/01/2019 00:00:00 | 2 | 0 | 0 26/01/2019 00:00:00 | 2 | 1 | 0 26/01/2019 00:00:00 | 3 | 0 | 0 26/01/2019 00:00:00 | 3 | 1 | 0 26/01/2019 00:00:00 | 4 | 0 | 0 26/01/2019 00:00:00 | 4 | 1 | 0 27/01/2019 00:00:00 | 1 | 0 | 0 27/01/2019 00:00:00 | 1 | 1 | 0 27/01/2019 00:00:00 | 2 | 0 | 0 27/01/2019 00:00:00 | 2 | 1 | 0 27/01/2019 00:00:00 | 3 | 0 | 0 27/01/2019 00:00:00 | 3 | 1 | 0 27/01/2019 00:00:00 | 4 | 0 | 0 27/01/2019 00:00:00 | 4 | 1 | 1 28/01/2019 00:00:00 | 1 | 0 | 0 28/01/2019 00:00:00 | 1 | 1 | 0 28/01/2019 00:00:00 | 2 | 0 | 0 28/01/2019 00:00:00 | 2 | 1 | 0 28/01/2019 00:00:00 | 3 | 0 | 0 28/01/2019 00:00:00 | 3 | 1 | 0 28/01/2019 00:00:00 | 4 | 0 | 0 28/01/2019 00:00:00 | 4 | 1 | 0 29/01/2019 00:00:00 | 1 | 0 | 0 29/01/2019 00:00:00 | 1 | 1 | 1 29/01/2019 00:00:00 | 2 | 0 | 0 29/01/2019 00:00:00 | 2 | 1 | 1 29/01/2019 00:00:00 | 3 | 0 | 0 29/01/2019 00:00:00 | 3 | 1 | 0 29/01/2019 00:00:00 | 4 | 0 | 0 29/01/2019 00:00:00 | 4 | 1 | 0 30/01/2019 00:00:00 | 1 | 0 | 0 30/01/2019 00:00:00 | 1 | 1 | 0 30/01/2019 00:00:00 | 2 | 0 | 0 30/01/2019 00:00:00 | 2 | 1 | 0 30/01/2019 00:00:00 | 3 | 0 | 0 30/01/2019 00:00:00 | 3 | 1 | 1 30/01/2019 00:00:00 | 4 | 0 | 0 30/01/2019 00:00:00 | 4 | 1 | 0 31/01/2019 00:00:00 | 1 | 0 | 0 31/01/2019 00:00:00 | 1 | 1 | 0 31/01/2019 00:00:00 | 2 | 0 | 0 31/01/2019 00:00:00 | 2 | 1 | 0 31/01/2019 00:00:00 | 3 | 0 | 0 31/01/2019 00:00:00 | 3 | 1 | 0 31/01/2019 00:00:00 | 4 | 0 | 0 31/01/2019 00:00:00 | 4 | 1 | 0 01/02/2019 00:00:00 | 1 | 0 | 0 01/02/2019 00:00:00 | 1 | 1 | 0 01/02/2019 00:00:00 | 2 | 0 | 0 01/02/2019 00:00:00 | 2 | 1 | 0 01/02/2019 00:00:00 | 3 | 0 | 0 01/02/2019 00:00:00 | 3 | 1 | 0 01/02/2019 00:00:00 | 4 | 0 | 0 01/02/2019 00:00:00 | 4 | 1 | 0
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