Query Bringing Back Too Many Records

May 1, 2015

I'm written a query to pull adjustments made on customer accounts, and I am attempting to pull in the payment associated with the adjustments. I'm using a single account to test my query and somewhere in my final output select statement I'm doing something that is bringing me back more records than I want. The code I have written is:

IF OBJECT_ID('TEMPDB..#TMP1O') IS NOT NULL DROP TABLE #TMP1O

select a.batch
,a.acctcorp
,a.house
,a.cust
--,RIGHT (REPLICATE ('0',5) + CONVERT(VARCHAR(5),A.acctcorp),5) +

[Code] ....

I've tried making changes within my where statement and parameters, but so far I've come up emtpy.

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SQL 2012 :: Query To Make Single Records From Multiple Records Based On Different Fields Of Different Records?

Mar 20, 2014

writing the query for the following, I need to collapse the continuity. If the termdate for an ID is one day less than the effdate of the next id (for the same ID) i need to collapse the records. See below example .....how should i write the query which will give me the desired output. i.e., get min(effdate) and max(termdate) if termdate is one day less than the effdate of next record.

ID effdate termdate
556868 1999-01-01 1999-06-30
556868 1999-07-01 1999-10-31
556869 2002-10-01 2004-01-31
556872 1999-02-01 2000-08-31
556872 2000-11-01 2004-01-31
556872 2004-02-01 2004-02-29

output should be ......

ID effdate termdate
556868 1999-01-01 1999-10-31
556869 2002-10-01 2004-01-31
556872 1999-02-01 2000-08-31
556872 2000-11-01 2004-02-29

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I have a table holding transaction data: money owed / money paid. The vast majority link together, however, a small % do not. I need to apply money paid to money owed. I want to give the client the benefit of the doubt, while using some logic in the application of funds.

I know when the transactions occurred, so I decided to work from newest to oldest, applying available funds from any money paid that is newer than the money owed. When the process completes the look back for an account, there may be money paid left over. This is okay, as it could apply to money owed transactions prior to the look back period.

I have code in place to accomplish this. My problem is the amount of time the process takes to run. At the current pace, it will take well over a day to complete. Here is an example of what the data may look like for one account:

Code:
TranDate TranType Amount
01/05/2008Owed $50.00
01/24/2008Paid$75.00
04/15/2008 Owed $43.75
04/28/2008Paid $50.00
05/23/2008Owed$43.75
08/19/2008Owed $35.20
02/10/2009Paid$14.15
03/16/2009Paid $9.50
06/14/2009Owed $63.45
09/24/2009Paid$40.00

Here is what I want to accomplish:

Code:
OwedTranDateTtlOwed PaidTranDatePaidTranAmtPaidAmtAppliedPaidAmtRemainingOwedAmtRemaining
06/14/2009$63.4509/24/2009$40.00 $40.00$0.00$23.45
08/19/2008$35.2003/16/2009$9.50$9.50$0.00$25.70
08/19/2008$35.2002/10/2009$14.15$14.15$0.00$21.05
05/23/2008$43.75$43.75
04/15/2008$43.7504/28/2008$50.00$43.75$6.25$0.00
01/05/2008$50.0004/28/2008$6.25$6.25$0.00$43.75
01/05/2008$43.7501/24/2008$75.00$43.75$31.25$0.00

Here is the code to accomplish the look back:

Code:
DECLARE
@AcctNumDECIMAL(10,0),
@TranDateDECIMAL(8,0),
@TranSeqDECIMAL(4,0),
@TranODINT,
@TranTypeVARCHAR(20),
@TranAmtDECIMAL(7,2),

[Code] .....

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Only Enterprise edition of SQL Server supports partitioning.



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2) CTE doesn't work on SQL 2000. I need a query that does.
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;WITH cte AS (
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AS RN
FROM [LOGTABLE]
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Error- >

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Please can someone get me the code for this.



create proc p_rowcounts

@Date1 datetime,
@Date2 datetime

SELECT
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FROM
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bye
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Hi

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col1 is varchar 254

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declare @mpid char (13)


set @mpid = '011142'

create table #temp_et (
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[Ethnicity] varchar(20),
[Starts]float(4),
[Success]float(4),
[Retention]float(4),
[Achievement]float(4)
)

--Year 05/06
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eg.pg_ethnicgroupname[Ethinicity],
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left join [FECAS].Proachieve.dbo.GN_AggCourseStructure gn on pv.pg_aggcourseid = gn.pg_aggcourseid
left join [FECAS].Proachieve.dbo.PG_ethnicGroup eg on pv.pg_ethnicgroupid = eg.pg_ethnicgroupid

where pv_midpointid = @mpid
and pg_expendyrid = '05/06'

and pv.pg_aggcourseid LIKE 'E2%'

group by
eg.pg_ethnicgroupname,
pv.pg_expendyrid
order by
eg.pg_ethnicgroupname

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