T-SQL-两个日期之间的总差值
我有两个表,订单和订单历史,订单表有订单编号和订单日期,这是实际下订单的日期 这在下面的模式和演示数据中进行了演示T-SQL-两个日期之间的总差值,sql,sql-server,tsql,sql-server-2012,datediff,Sql,Sql Server,Tsql,Sql Server 2012,Datediff,我有两个表,订单和订单历史,订单表有订单编号和订单日期,这是实际下订单的日期 这在下面的模式和演示数据中进行了演示 CREATE TABLE #Orders ( OrderNumber INT, OrderDate DATETIME ) INSERT INTO #Orders (OrderNumber,OrderDate) VALUES (001,'2019-04-16 07:08:08.567'), (002,'2019-03-22 07:08:08.567'), (003,'2019-06
CREATE TABLE #Orders
(
OrderNumber INT,
OrderDate DATETIME
)
INSERT INTO #Orders (OrderNumber,OrderDate)
VALUES
(001,'2019-04-16 07:08:08.567'),
(002,'2019-03-22 07:08:08.567'),
(003,'2019-06-30 07:08:08.567'),
(004,'2019-01-05 07:08:08.567'),
(005,'2019-02-19 07:08:08.567')
订单审核表还包含订单编号和事件日期,即订单状态更改的日期
下面的模式和演示数据演示了这一点
CREATE TABLE #Order_Audit
(
OrderNumber INT,
EventDate DATETIME,
Status INT
)
INSERT INTO #Order_Audit (OrderNumber,EventDate,Status)
VALUES
(001,'2019-04-16 07:08:08.567',1),
(001,'2019-04-19 07:08:08.567',2),
(001,'2019-04-22 07:08:08.567',3),
(001,'2019-04-28 07:08:08.567',4),
(001,'2019-04-30 07:08:08.567',5),
(002,'2019-03-22 07:08:08.567',1),
(002,'2019-03-24 07:08:08.567',2),
(002,'2019-03-26 07:08:08.567',3),
(002,'2019-04-01 07:08:08.567',4),
(002,'2019-04-10 07:08:08.567',5),
(003,'2019-06-30 07:08:08.567',1),
(003,'2019-07-15 07:08:08.567',2),
(003,'2019-07-19 07:08:08.567',3),
(003,'2019-07-20 07:08:08.567',4),
(003,'2019-07-21 07:08:08.567',5),
(004,'2019-01-05 07:08:08.567',1),
(004,'2019-01-06 07:08:08.567',2),
(004,'2019-01-07 07:08:08.567',3),
(004,'2019-01-08 07:08:08.567',4),
(004,'2019-01-09 07:08:08.567',5),
(005,'2019-02-19 07:08:08.567',1),
(005,'2019-03-19 07:08:08.567',2),
(005,'2019-03-21 07:08:08.567',3),
(005,'2019-03-22 07:08:08.567',4),
(005,'2019-03-23 07:08:08.567',5)
下面是我目前的查询,它将给出下订单的事件日期和订单日期之间的差异
查询已简化,但包含了关键列。这将在SQL Server 2012 SP4上执行
SELECT
O.OrderNumber,
DATEDIFF(DAY,O.OrderDate,OA.EventDate) AS [Day-Diff]
FROM #Orders O
INNER JOIN #Order_Audit OA ON OA.OrderNumber = O.OrderNumber
上面的查询输出如下
|---------------------|------------------|
| OrderNumber | DayDiff |
|---------------------|------------------|
| 001 | 0 |
|---------------------|------------------|
| 001 | 3 |
|---------------------|------------------|
| 001 | 6 |
|---------------------|------------------|
| 001 | 12 |
|---------------------|------------------|
| 001 | 14 |
|---------------------|------------------|
| 002 | 0 |
|---------------------|------------------|
| 002 | 2 |
|---------------------|------------------|
| 002 | 4 |
|---------------------|------------------|
| 002 | 10 |
|---------------------|------------------|
| 002 | 19 |
|---------------------|------------------|
|---------------------|------------------|
| OrderNumber | DayDiff |
|---------------------|------------------|
| 001 | |
|---------------------|------------------|
| 001 | |
|---------------------|------------------|
| 001 | |
|---------------------|------------------|
| 001 | |
|---------------------|------------------|
| 001 | |
|---------------------|------------------|
| Total | 14 |
|---------------------|------------------|
| 002 | |
|---------------------|------------------|
| 002 | |
|---------------------|------------------|
| 002 | |
|---------------------|------------------|
| 002 | |
|---------------------|------------------|
| 002 | |
|---------------------|------------------|
| Total | 19 |
|---------------------|------------------|
我实际上需要的是一个输出更像这样的查询
|---------------------|------------------|
| OrderNumber | DayDiff |
|---------------------|------------------|
| 001 | 0 |
|---------------------|------------------|
| 001 | 3 |
|---------------------|------------------|
| 001 | 6 |
|---------------------|------------------|
| 001 | 12 |
|---------------------|------------------|
| 001 | 14 |
|---------------------|------------------|
| 002 | 0 |
|---------------------|------------------|
| 002 | 2 |
|---------------------|------------------|
| 002 | 4 |
|---------------------|------------------|
| 002 | 10 |
|---------------------|------------------|
| 002 | 19 |
|---------------------|------------------|
|---------------------|------------------|
| OrderNumber | DayDiff |
|---------------------|------------------|
| 001 | |
|---------------------|------------------|
| 001 | |
|---------------------|------------------|
| 001 | |
|---------------------|------------------|
| 001 | |
|---------------------|------------------|
| 001 | |
|---------------------|------------------|
| Total | 14 |
|---------------------|------------------|
| 002 | |
|---------------------|------------------|
| 002 | |
|---------------------|------------------|
| 002 | |
|---------------------|------------------|
| 002 | |
|---------------------|------------------|
| 002 | |
|---------------------|------------------|
| Total | 19 |
|---------------------|------------------|
但是,我不知道如何获得每个订单的订单日期和最近的事件日期之间的差异,并将其添加到该订单事件组下方(如上所示)-我甚至不确定这在T-SQL中是否可行,是否应该在应用程序级别进行处理。对于总计,您可以
按订单号分组
,以获取最后一个事件日期
,然后查找与相应的订单日期
的差异然后使用UNION ALL:
select t.OrderNumber, t.DayDiff
from (
select ordernumber nr, cast(ordernumber as varchar(10)) OrderNumber, null DayDiff, 0 col
from order_audit
union all
select a.ordernumber nr, 'Total', datediff(day, o.orderdate, a.eventdate) DayDiff, 1 col
from orders o inner join (
select
ordernumber, max(eventdate) eventdate
from order_audit
group by ordernumber
) a on a.ordernumber = o.ordernumber
) t
order by t.nr, t.col
请参阅。结果:
你可以在下面试试。我已将Total标签创建为OrderNumber+Total进行订购
SELECT
CAST(O.OrderNumber AS VARCHAR) + ' Total' OrderNumber,
MAX(DATEDIFF(DAY,O.OrderDate,OA.EventDate)) AS [Day-Diff]
FROM #Orders O
INNER JOIN #Order_Audit OA ON OA.OrderNumber = O.OrderNumber
GROUP BY CAST(O.OrderNumber AS VARCHAR) + ' Total'
UNION ALL
SELECT
CAST(O.OrderNumber AS VARCHAR) OrderNumber,
NULL AS [Day-Diff]
FROM #Orders O
INNER JOIN #Order_Audit OA ON OA.OrderNumber = O.OrderNumber
ORDER BY 1
如何计算001和002的14和19的总和?这是每个订单号的最后一个值吗?@mkRabbani是的,14和19是订单审计表中最近的事件日期与订单表中每个订单号的订单日期之间的差值。希望这对你有帮助@BonzaOwl。