T-SQL-两个日期之间的总差

Question

I have two tables, Orders & Order History , the Orders table has the Order Number and the Order Date which is the date that the order was actually placed.

This is demonstrated in the below schema and demonstration data;

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')

The Order audit table also contains the Order Number and the Event Date which is the date that the order status changed.

This is demonstrated in the below schema and demonstration data.

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)

Below is the query that I have at the moment, it will give me the difference between the Event Date and the Order Date that the order was placed.

The query has been simplified however the key columns are included. This is being executed on SQL Server 2012 SP4

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

The above query outputs like this

|---------------------|------------------|
|      OrderNumber    |     DayDiff      |
|---------------------|------------------|
|          001        |         0        |
|---------------------|------------------|
|          001        |         3        |
|---------------------|------------------|
|          001        |         6        |
|---------------------|------------------|
|          001        |         12       |
|---------------------|------------------|
|          001        |         14       |
|---------------------|------------------|
|          002        |         0        |
|---------------------|------------------|
|          002        |         2        |
|---------------------|------------------|
|          002        |         4        |
|---------------------|------------------|
|          002        |         10       |
|---------------------|------------------|
|          002        |         19       |
|---------------------|------------------|

What I actually need is a query that will output more like this

|---------------------|------------------|
|      OrderNumber    |     DayDiff      |
|---------------------|------------------|
|          001        |                  |
|---------------------|------------------|
|          001        |                  |
|---------------------|------------------|
|          001        |                  |
|---------------------|------------------|
|          001        |                  |
|---------------------|------------------|
|          001        |                  |
|---------------------|------------------|
|          Total      |        14        |
|---------------------|------------------|
|          002        |                  |
|---------------------|------------------|
|          002        |                  |
|---------------------|------------------|
|          002        |                  |
|---------------------|------------------|
|          002        |                  |
|---------------------|------------------|
|          002        |                  |
|---------------------|------------------|
|          Total      |        19        |
|---------------------|------------------|

However I can't figure out how to get the difference between the Order Date and the most recent Event Date for each order and add it below that group of order events (as shown above) - I am not even sure it is possible in T-SQL and should possibly be handled at the application level.

Answer 1

You can try this below. I have created the Total label as OrderNumber + Total for ordering.

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

Answer 2

For the totals you can group by ordernumber to get the last eventdate and then find the difference from the corresponding orderdate .
Then use 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

See the demo .
Results:

> OrderNumber | DayDiff
> :---------- | ------:
> 1           |    
> 1           |    
> 1           |    
> 1           |    
> 1           |    
> Total       |      14
> 2           |    
> 2           |    
> 2           |    
> 2           |    
> 2           |    
> Total       |      19
> 3           |    
> 3           |    
> 3           |    
> 3           |    
> 3           |    
> Total       |      21
> 4           |    
> 4           |    
> 4           |    
> 4           |    
> 4           |    
> Total       |       4
> 5           |    
> 5           |    
> 5           |    
> 5           |    
> 5           |    
> Total       |      32