我试图通过添加2周的容差来调整以下代码。
当客户(标识符)第一次创建请求并且第一次完成请求并计算两者之间发生的天数时,它会看到它。
但是我想添加一个公差片。其中表示在这些日期之间发生的NCO数量,如果在完成日期之后的2个星期内发生完成日期之后还有其他请求,那么也会计算这些请求(同一请求的一部分)。完成日期后2周内的任何事情都视为新请求。
CREATE TABLE #temp
(
Identifier varchar(40)NOT NULL
,Created_Date DATETIME NOT NULL
,Completed_Date DATETIME NULL
,SN_Type varchar(20) NOT NULL
,SN_Status varchar(20) NOT NULL
)
;
INSERT INTO #temp
VALUES ('3333333','2017-02-14 15:00:40.000','2017-02-15 00:00:00.000','Re-Activattion', 'COMP');
INSERT INTO #temp
VALUES ('3333333','2017-05-24 16:41:04.000','2017-06-05 00:00:00.000','Re-Activattion', 'N-CO');
INSERT INTO #temp
VALUES ('3333333','2017-05-25 11:49:54.000','2017-05-26 00:00:00.000','Re-Activattion', 'COMP');
INSERT INTO #temp
VALUES ('3333333','2017-06-27 10:24:29.000',NULL,'Re-Activattion', 'ACC');
@Alex您的代码是准确的只是我想选择第二次创建记录的最小日期,因此结果的第2行应该返回最小日期为2017-05-24 16:41:04.000。
select identifier
,case
when sum(case when SN_STATUS='COMP' and SN_TYPE = 'Re-Activattion' then 1 else 0 end)>0
then str(datediff(day
,MIN(case
when SN_TYPE = 'Re-Activattion'
then Created_Date
else null
end
)
,min(case
when (SN_TYPE = 'Re-Activattion'
and SN_STATUS='COMP'
)
then Completed_Date
else null
end
)
)
)
when sum(case when SN_TYPE='Re-Activattion' then 1 else 0 end)>0
then 'NOT COMP'
else 'NO RE-ACT'
end
as RE_ACT_COMPLETION_TIME
,Sum(CASE WHEN SN_STATUS = 'N-CO' THEN 1 ELSE 0 END) as [RE-AN NCO #]
from #temp
group by identifier
;
结果我之后:
答案 0 :(得分:1)
您的表格设计不适合这类查询,因为没有指定订单开始和订单结束的明确记录。此外,多个订单以相同的标识符存储。
要解决此问题,您需要自己计算/识别订单开始和订单结束记录。
一种方法是使用Common Table Expressions。
注意:我在代码中添加了注释,以解释每个部分的用途。
-- calculate/identify Order start and Order End records
WITH cte AS
(
-- 1st Order start record i.e. earliest record in the table for a given "Identifier"
SELECT Identifier, MIN( Created_Date ) AS Created_Date, CONVERT( VARCHAR( 30 ), 'Created' ) AS RecordType, 1 AS OrderNumber
FROM #temp
GROUP BY Identifier
UNION ALL
-- All records with "COMP" status are treated as order completed events. Add 2 weeks to the completed date to create a "dummy" Order End Date
SELECT Identifier, DATEADD( WEEK, 2, Created_Date ) AS Created_Date, 'Completed' AS RecordType, ROW_NUMBER() OVER( PARTITION BY Identifier ORDER BY Created_Date ) AS OrderNumber
FROM #temp
WHERE SN_STATUS = 'COMP'
UNION ALL
-- Set the start period of the next order to be right after (3 ms) the previous Order End Date
SELECT Identifier, DATEADD( ms, 3, DATEADD( WEEK, 2, Created_Date )) AS Created_Date, 'Created' AS RecordType, ROW_NUMBER() OVER( PARTITION BY Identifier ORDER BY Created_Date ) + 1 AS OrderNumber
FROM #temp
WHERE SN_STATUS = 'COMP'
),
-- Combine Start / End records into one record
OrderGroups AS(
SELECT Identifier, OrderNumber, MIN( Created_Date ) AS OrderRangeStartDate, MAX( Created_Date ) AS OrderRangeEndDate
FROM cte
GROUP BY Identifier, OrderNumber
)
SELECT a.Identifier, a.OrderNumber, OrderRangeStartDate, OrderRangeEndDate,
case
when sum(case when SN_STATUS='COMP' and SN_TYPE = 'Re-Activattion' then 1 else 0 end)>0
then str(datediff(day
,MIN(case
when SN_TYPE = 'Re-Activattion'
then Created_Date
else null
end
)
,min(case
when (SN_TYPE = 'Re-Activattion'
and SN_STATUS='COMP'
)
then Completed_Date
else null
end
)
)
)
when sum(case when SN_TYPE='Re-Activattion' then 1 else 0 end)>0
then 'NOT COMP'
else 'NO RE-ACT'
end as RE_ACT_COMPLETION_TIME,
Sum(CASE WHEN SN_STATUS = 'N-CO' THEN 1 ELSE 0 END) as [RE-AN NCO #]
FROM OrderGroups AS a
INNER JOIN #Temp AS b ON a.Identifier = b.Identifier AND a.OrderRangeStartDate <= b.Created_Date AND b.Created_Date <= a.OrderRangeEndDate
GROUP BY a.Identifier, a.OrderNumber, OrderRangeStartDate, OrderRangeEndDate
输出:
Identifier OrderNumber OrderRangeStartDate OrderRangeEndDate RE_ACT_COMPLETION_TIME RE-AN NCO #
-------------- ------------- ----------------------- ----------------------- ---------------------- -----------
200895691 1 2016-01-27 14:25:00.000 2016-02-10 15:15:00.000 0 2
200895691 2 2016-02-10 15:15:00.003 2017-01-16 12:15:00.000 1 1
更新数据集的输出:
Identifier OrderNumber OrderRangeStartDate OrderRangeEndDate RE_ACT_COMPLETION_TIME RE-AN NCO #
------------ ------------ ----------------------- ----------------------- ---------------------- -----------
200895691 1 2017-01-11 00:00:00.000 2017-03-27 00:00:00.000 61 4
200895691 2 2017-03-27 00:00:00.003 2017-04-20 00:00:00.000 1 1
3333333 1 2017-01-27 00:00:00.000 2017-02-10 00:00:00.000 0 2
44454544 1 2017-01-27 00:00:00.000 2017-01-27 00:00:00.000 NOT COMP 1
7777691 1 2017-02-08 09:36:44.000 2017-02-22 09:36:44.000 63 1
输入:
INSERT INTO #temp VALUES
('11111','20170203','20170203','Re-Activattion', 'COMP'),
('11111','20170206','20170202','Re-Activattion', 'N-CO');
输出:
Identifier OrderNumber OrderRangeStartDate OrderRangeEndDate RE_ACT_COMPLETION_TIME RE-AN NCO #
---------- ------------ ----------------------- ----------------------- ---------------------- -----------
11111 1 2017-02-03 00:00:00.000 2017-02-17 00:00:00.000 0 1