StartDate and EndDate values are multiplied, Can't get the right values

Building: Im trying to build a report where I can calculate the difference between two dates (Example between 1-1-2001 and 31-12-2001) but also showing (per name per identifier) the current balance of a customer per date(As shown in the Report attachment).

Problem: The problem is that the totals are not correct, they get multiplied on random numbers (Checking it with Count and CountDistinct I learned that I probably made a mistake in my SQL, so I copied SQL in this question as well).

I have tried plenty myself and tried to find solutions on the interwebs, but none of them seem to work.  So I am desperate enough to ask for help :).

SELECT
	CASE WHEN t1.identifier IS NULL 		THEN t2.identifier 			ELSE t1.identifier
	END as identifier
,	CASE WHEN t1.firstName IS NULL 		THEN t2.firstName			ELSE t1.firstName
	END as firstName
,	CASE WHEN t1.lastName IS NULL		THEN t2.lastName			ELSE t1.lastName
	END as lastName
,	CASE WHEN t1.initials IS NULL			THEN t2.initials				ELSE t1.initials
	END as initials
,	CASE WHEN t1.name IS NULL			THEN t2.name				ELSE t1.name
	END as name
,	CASE WHEN t1.employmentNumber IS NULL	THEN t2.employmentNumber		ELSE t1.employmentNumber
	END as employmentNumber
,	CASE WHEN t1.externalIdentifier IS NULL	THEN t2.externalIdentifier		ELSE t1.externalIdentifier
	END as externalIdentifier
,	t1.balance 	AS S_balance
,	t1.unvested	AS S_unvested
,	t2.balance	AS V_unvested
,	t2.unvested	AS V_balance
,	SUM(t1.TotalBalance + t1.TotalUnvested) Total1
FROM
(
SELECT
  par.identifier
,par.firstName
  ,par.lastName
  ,par.initials
  ,pos.name
  ,pos.balance
  ,pos.unvested
,par.employmentNumber
,SUM(pos.balance) TotalBalance 
,sum(pos.unvested) TotalUnvested
,Right(par.externalIdentifier,(Len(par.externalIdentifier)-4)) as externalIdentifier
FROM
  participant par
  INNER JOIN position pos
    ON par.identifier = pos.participantIdentifier
WHERE
 (pos.balance != 0 OR pos.unvested != 0)
AND pos.name NOT LIKE (@Euro)
 AND par.Metadata_start_validity <=@Datum
  AND (par.Metadata_end_validity >=@Datum
	OR par.Metadata_end_validity IS NULL)
  AND pos.Metadata_start_validity <=@Datum
  AND (pos.Metadata_end_validity >=@Datum
	OR pos.Metadata_end_validity IS NULL)
GROUP BY
  par.identifier
,par.firstName
  ,par.lastName
  ,par.initials
  ,pos.name
  ,pos.balance
  ,pos.unvested
,par.employmentNumber
,par.externalIdentifier
) as t1
INNER JOIN
(
SELECT
  par.identifier
,par.firstName
  ,par.lastName
  ,par.initials
  ,pos.name
  ,pos.balance
  ,pos.unvested
,par.employmentNumber
,Right(par.externalIdentifier,(Len(par.externalIdentifier)-4)) as externalIdentifier
FROM
  participant par
  INNER JOIN position pos
    ON par.identifier = pos.participantIdentifier
WHERE (pos.balance != 0 OR pos.unvested != 0)
AND pos.name NOT LIKE (@Euro)
 AND par.Metadata_start_validity <=@V_Datum
  AND (par.Metadata_end_validity >=@V_Datum
	OR par.Metadata_end_validity IS NULL)
  AND pos.Metadata_start_validity <=@V_Datum
  AND (pos.Metadata_end_validity >=@V_Datum
	OR pos.Metadata_end_validity IS NULL)
) as t2
ON
t1.identifier = t2.identifier
GROUP BY
	CASE WHEN t1.identifier IS NULL 		THEN t2.identifier 			ELSE t1.identifier
	END 
,	CASE WHEN t1.firstName IS NULL 		THEN t2.firstName			ELSE t1.firstName
	END 
,	CASE WHEN t1.lastName IS NULL		THEN t2.lastName			ELSE t1.lastName
	END 
,	CASE WHEN t1.initials IS NULL			THEN t2.initials				ELSE t1.initials
	END 
,	CASE WHEN t1.name IS NULL			THEN t2.name				ELSE t1.name
	END 
,	CASE WHEN t1.employmentNumber IS NULL	THEN t2.employmentNumber		ELSE t1.employmentNumber
	END 
,	CASE WHEN t1.externalIdentifier IS NULL	THEN t2.externalIdentifier		ELSE t1.externalIdentifier
	END 
,	t1.balance 	
,	t1.unvested	
,	t2.balance	
,	t2.unvested	
,	t1.TotalBalance
,	t1.TotalUnvested


January 9th, 2014 1:41pm

Hello,

Did you get the correct result when run the query statement in SSMS?
Currently, it is hard to interpret without the same sample data and table design structure. Can you please post more details for us? You can post the DDL of the table "participant" and "position" and some sample data. It benefits us for further analysis.

Regards,
Fanny Liu

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January 13th, 2014 3:27am

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