September 27, 2010 at 8:58 am
Having written the below pieces of code I'm struggling to isolate duplicates from my results.
I have created 2 temporary tables called #AMPpos and #AMPneg which contain key values and payment amounts for specific policy keys.
When I run this piece of code:
SELECTAccountsModulePaymentKeyNeg,
PaymentAmountOriginalCurrencyNeg ,
AbsolutePaymentNeg ,
PolicyKeyNeg ,
AccountsModulePaymentKeyPos ,
PaymentAmountOriginalCurrencyPos ,
AbsolutePaymentPos ,
PolicyKeyPos
FROM #AMPneg
JOIN #AMPpos
ON #AMPneg.PolicyKeyNeg=#AMPpos.PolicyKeyPos
AND #AMPneg.AbsolutePaymentNeg = #AMPpos.AbsolutePaymentPos
WHERE #AMPneg.PolicyKeyNeg <> -1
and #AMPpos.PolicyKeyPos <> -1
ORDER BY PolicyKeyNeg, PolicyKeyPos, AccountsModulePaymentKeyNeg, AccountsModulePaymentKeyPos
I am close to what I require however I am trying to isolate 1 row id for a negative premium value joined to a row id for a positive premium value based on a join of the absolute values of these premiums
108266-75073.500075073.50003115176355475073.500075073.5000311517
108266-75073.500075073.50003115179347975073.500075073.5000311517
108266-75073.500075073.50003115179398675073.500075073.5000311517
108266-75073.500075073.500031151710826975073.500075073.5000311517
As you can see in the data row id 108266 is appearing 4 times becuase there are 4 row id's where the value 75073.5000 exists.
How can I amend my sql so I only return 1 row id for the negative value and 1 row id for the positive value (or 2 and 2 if there are 2 negative and positive absolute values which match)to allow me to have matching transactions which I can then remove from a reporting query.
The problem I'm having is that there might be the same value in 10 rows as a positive figure but only 6 negative ones. In that case I need to match 6 row id's up so I'm left with only 4 true positive values to show on the report.
I had thought it might be to do with the join or group by but I just can't get it to work.
Any help is hugely appreciated!!! 🙂
Regards
Graeme
September 28, 2010 at 8:59 am
Yes thanks for the advice on posting. Just started a new job last week have been thrown in the deepend in a new industry working on helpdesk issues to get an understanding of the data structure.
From an ETL SSIS background it's been a while since I've written code like this.
Ok what I have written so far is this based on your advice. Which is working nicely however I am still confused on how I isolate within a specific policy key. If a policy key does not have a negative value then I don't need it at all.
If it does have a negative then I need to select that and a positive value, then get the accountspaymentkey for the 2 values.
Otherwise I just have a table which is flagging where the value is negative and positive. I need to match these neg/pos values into pairs (based on them having the same policyid and a matching payment amount (but one pos one neg) and get their row id's(AccountModulePaymentKey).
SELECTAMP.accountsmodulepaymentkey,
AMP.paymentAmountOriginalCurrency,
ABS(AMP.PaymentAmountOriginalCurrency) AS absolutepremium,
P.policykey ,
AMP.PaymentDate,
P.UnderwriterReference,
SUM(CASE WHEN AMP.PaymentAmountOriginalCurrency < 0 THEN 1 ELSE 0 END)
OVER (PARTITION BY AMP.AccountsModulePaymentKey, AMP.PaymentAmountOriginalCurrency,ABS(AMP.PaymentAmountOriginalCurrency), P.policykey
)
AS negative_amt_cnt,
SUM(CASE WHEN AMP.PaymentAmountOriginalCurrency > 0 THEN 1 ELSE 0 END)
OVER (PARTITION BY AMP.AccountsModulePaymentKey, AMP.PaymentAmountOriginalCurrency, ABS(AMP.PaymentAmountOriginalCurrency), P.policykey
)
AS positive_amt_cnt
FROM dbo.tbl_AccountsModulePayment AMP
JOIN dbo.tbl_AccountsModuleHeader AMH
ON AMH.AccountsModuleHeaderKey=AMP.AccountsModuleHeaderKey
JOIN dbo.tbl_Policy P
ON P.PolicyKey=AMH.PolicyKey
WHERE P.policykey <> -1
AND amp.PaymentAmountOriginalCurrency <> 0
AND AMP.PaymentCategoryKey IN (1,2,3)
GROUP BY AMP.AccountsModulePaymentKey, AMP.PaymentAmountOriginalCurrency, P.policykey, AMP.PaymentDate, P.UnderwriterReference
ORDER BY p.PolicyKey
Eg below
7748-3638.86003638.86002627431999-02-22 00:00:00.00013975Z99A10
84735-3638.86003638.86002627431999-02-22 00:00:00.00013975Z99A10
523453638.86003638.86002627431999-02-22 00:00:00.00013975Z99A01
21081289.3300289.33002627432000-04-19 00:00:00.00013975Z99A01
96123559.00003559.00002627431999-07-26 00:00:00.00013975Z99A01
926543559.00003559.00002627431999-07-26 00:00:00.00013975Z99A01
796923559.00003559.00002627431999-02-22 00:00:00.00013975Z99A01
2468289.3300289.33002627432000-04-19 00:00:00.00013975Z99A01
20463559.00003559.00002627431999-02-22 00:00:00.00013975Z99A01
74533638.86003638.86002627431999-02-22 00:00:00.00013975Z99A01
All these are payments within the same policyid but there are 2 negative values and I want to do a further select to match those against 2 positive rows where the absolute values are the same.
Thats why I have been using the ABS function as how else am I going to match the values together if they are pos/neg.
Essentially I am trying to end up with a solution where I have a table of data with pairs of positive and negative values which are the same within each policy key. Then I can flag in the report that these values have to be contra'd off against each other and they won't show in the SSRS report.
Thanks
September 28, 2010 at 9:32 am
Sounds like this to me:
;WITH MyStructuredData AS (
SELECT RowID = ROW_NUMBER() OVER(PARTITION BY PolicyKey, PaymentAmountOriginalCurrency
ORDER BY PolicyKey, PaymentAmountOriginalCurrency, accountspaymentkey),
PolicyKey, PaymentAmountOriginalCurrency, accountspaymentkey
FROM MyTable
)
SELECT
pos.PolicyKey,
pos.accountspaymentkey,
neg.accountspaymentkey,
pos.PaymentAmountOriginalCurrency,
neg.PaymentAmountOriginalCurrency
FROM MyStructuredData pos
INNER JOIN MyStructuredData neg
ON neg.PolicyKey = pos.PolicyKey
AND neg.accountspaymentkey = pos.accountspaymentkey
AND neg.RowID = pos.RowID
AND neg.PaymentAmountOriginalCurrency < 0
WHERE pos.PaymentAmountOriginalCurrency > 0
AND (neg.PaymentAmountOriginalCurrency + pos.PaymentAmountOriginalCurrency) = 0
For fast, accurate and documented assistance in answering your questions, please read this article.
Understanding and using APPLY, (I) and (II) Paul White
Hidden RBAR: Triangular Joins / The "Numbers" or "Tally" Table: What it is and how it replaces a loop Jeff Moden
September 29, 2010 at 9:52 am
Thanks for everybody's help.
I ended up using the RANK statement and attaching a Rank column and then joining the positive and negative values on the policykey, absolute value and rank.
This meant that when there are 3 negatives but 5 positives they would match up.
That allowed me to get those key values of the rows which needed updated.
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