Tolerance with Min Max - sql

Question

I am trying to adjust the below code by adding a 2 week tolerance piece.
What it does it looks when the first time a customer (identifier) created a request and the first time it was completed and counts the days which happened in between.
However I am trying to add a tolerance piece. Which says count the number of NCO which occurred between those dates and if there were further requests past the completion date which happened within 2 weeks of the completion date then count those as well (part of the same request). Anything past 2 weeks of the completions date consider as a new request.
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 you code is accurate just I would like to be selecting the min date the record is created a 2nd time, so line 2 of the result should return min date to be 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
;
RESULTS I AM AFTER:

Answer 1

Your table design is not optimal for these kinds of queries as there is no definitive record that specified order start and order end. Additionally multiple orders are stored with the same identifier.
To work around this you need to calculate/identify Order start and Order End records yourself.
One way to do it is using Common Table Expressions.
Note: I have added comments to code to explain what each section does.
-- 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
Output:
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
Output for the updated data set:
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
Update 2017-10-05 in response to the comment
Input:
INSERT INTO #temp VALUES
('11111','20170203','20170203','Re-Activattion', 'COMP'),
('11111','20170206','20170202','Re-Activattion', 'N-CO');
Output:
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