Calculating liquidation - percentages with subqueries

Hi,
I have a query a sql statement as follows, which I am using to query an oracle database:
SELECT
EXTRACT(YEAR FROM "CLIENT_TH"."CREATED_DATE") AS LOAD_YEAR,
EXTRACT(MONTH FROM "CLIENT_TH"."CREATED_DATE") AS LOAD_MONTH,
CONCAT(CONCAT(EXTRACT(MONTH FROM "CLIENT_TH"."CREATED_DATE") , '-'), EXTRACT(YEAR FROM "CLIENT_TH"."CREATED_DATE") ) AS LOAD_MONTHNAME,
EXTRACT(YEAR FROM "DOC_HDR_TH"."CREATED_DATE") AS PAYMENT_YEAR,
EXTRACT(MONTH FROM "DOC_HDR_TH"."CREATED_DATE") AS PAYMENT_MONTH,
CONCAT(CONCAT(EXTRACT(MONTH FROM "DOC_HDR_TH"."CREATED_DATE") , '-'), EXTRACT(YEAR FROM "DOC_HDR_TH"."CREATED_DATE") ) AS PAYMENT_MONTHNAME,
SUM("DOC_HDR_TH"."TOTAL_GROSS"*-1) AS PAYMENT_AMOUNT,
"CLIENT_TH"."SPARE_CHAR_05" AS CLIENT_NAME,
"CLIENT_TH"."SPARE_CHAR_21" AS CLIENT_CODE
FROM
"SL"."CLIENT_TH" "CLIENT_TH" INNER JOIN
"SL"."TRAN_TH" "TRAN_TH" ON ("CLIENT_TH"."CLIENT_ID"="TRAN_TH"."CLIENT_ID") INNER JOIN
"SL"."DOC_LINK_TH" "DOC_LINK_TH" ON ("TRAN_TH"."TRAN_ID"="DOC_LINK_TH"."TRAN_ID") INNER JOIN
"SL"."DOC_HDR_TH" "DOC_HDR_TH" ON ("DOC_LINK_TH"."DOC_ID"="DOC_HDR_TH"."DOC_ID")
WHERE
"CLIENT_TH"."SPARE_CHAR_01" LIKE 'SBH/%') AND
("DOC_HDR_TH"."DOC_TYPE" NOT IN ('ADJ', 'Adjustment', 'ADMIN FEE', 'AOE FEE', 'ARREARS', 'CHARGE APP FEE', 'CLI', 'CO FEES', 'COSTS', 'CWO', 'DM', 'FEES', 'HCEO Fees', 'IJADJ', 'INTEREST', 'INV', 'JUDGEMENT COSTS', 'LATE PAYMENT COMP', 'OSB ADJ', 'SET WRITE OFF', 'SET WRITE OFF', 'WARRANT COSTS', 'WARRANT FEE')) and
TRUNC("DOC_HDR_TH"."CREATED_DATE") BETWEEN TRUNC(ADD_MONTHS(SYSDATE,-12),'MM') AND SYSDATE-1AND
TRUNC("CLIENT_TH"."CREATED_DATE") BETWEEN TRUNC(ADD_MONTHS(SYSDATE,-24),'MM') AND SYSDATE-1
GROUP BY
"CLIENT_TH"."SPARE_CHAR_05",
"CLIENT_TH"."SPARE_CHAR_21",
EXTRACT(MONTH FROM "CLIENT_TH"."CREATED_DATE") ,
EXTRACT(YEAR FROM "CLIENT_TH"."CREATED_DATE"),
EXTRACT(MONTH FROM "DOC_HDR_TH"."CREATED_DATE"),
EXTRACT(YEAR FROM "DOC_HDR_TH"."CREATED_DATE")
This transposes into the following outcome:
Payment Month
Jun-12 Jul-12 Aug-12
Load Date
Jun-12 100.12 200.00 300.00
Jul-12 300.00 400.00
Aug-12 500.00
This is working perfectly.
However, where I am having the problem is creating a liquidation batchtracker, where I want the outcome to look something like the following
Payment Months since Load
M1 M2 M3 M4 M5
Load Date
Jun-12 0.01% 0.02% 0.2% 0.3% 0.4%
July-12 0.02% 0.04% 0.4% 0.3%
Aug-12 0.01% 0.02% 0.2%
Sept-12 0.01% 0.02%
Oct-12 0.01%
The code I have so far is:
SELECT
CONCAT(CONCAT(EXTRACT(MONTH FROM Payments.LOAD_DATE) , '-'), EXTRACT(YEAR FROM Payments.LOAD_DATE) ) AS LOAD_MONTHNAME,
Original.ORIGINAL_BALANCE as ORIGINAL_BALANCE
FROM
     (SELECT
     "CLIENT_TH"."CLIENT_ID",
     SUM("DOC_HDR_TH"."TOTAL_GROSS") AS ORIGINAL_BALANCE
     FROM
     "SL"."CLIENT_TH" "CLIENT_TH" INNER JOIN
     "SL"."TRAN_TH" "TRAN_TH" ON ("CLIENT_TH"."CLIENT_ID"="TRAN_TH"."CLIENT_ID") INNER JOIN
     "SL"."DOC_LINK_TH" "DOC_LINK_TH" ON ("TRAN_TH"."TRAN_ID"="DOC_LINK_TH"."TRAN_ID") INNER JOIN
     "SL"."DOC_HDR_TH" "DOC_HDR_TH" ON ("DOC_LINK_TH"."DOC_ID"="DOC_HDR_TH"."DOC_ID")
     WHERE
     "CLIENT_TH"."SPARE_CHAR_01" = 'SBH/73020000003657' and
     "CLIENT_TH"."SPARE_CHAR_01" LIKE 'SBH/%' AND
     "DOC_HDR_TH"."DOC_TYPE" IN ('INV', 'ARREARS')
     GROUP BY
     "CLIENT_TH"."CLIENT_ID") Original LEFT OUTER JOIN
          (SELECT
          "CLIENT_TH"."CLIENT_ID",
          "CLIENT_TH"."SPARE_CHAR_01" AS REFERENCE,
          "CLIENT_TH"."CREATED_DATE"AS LOAD_DATE,
          "DOC_HDR_TH"."CREATED_DATE" AS PAYMENT_DATE,
          "DOC_HDR_TH"."TOTAL_GROSS"*-1 AS PAYMENT_AMOUNT,
          "CLIENT_TH"."SPARE_CHAR_05" AS CLIENT_NAME,
          ROUND(MONTHS_BETWEEN("DOC_HDR_TH"."DOC_DATE","CLIENT_TH"."CREATED_DATE") ) AS LIQUIDATION_MONTH
          FROM
          "SL"."CLIENT_TH" "CLIENT_TH" INNER JOIN
          "SL"."TRAN_TH" "TRAN_TH" ON ("CLIENT_TH"."CLIENT_ID"="TRAN_TH"."CLIENT_ID") INNER JOIN
          "SL"."DOC_LINK_TH" "DOC_LINK_TH" ON ("TRAN_TH"."TRAN_ID"="DOC_LINK_TH"."TRAN_ID") INNER JOIN
          "SL"."DOC_HDR_TH" "DOC_HDR_TH" ON ("DOC_LINK_TH"."DOC_ID"="DOC_HDR_TH"."DOC_ID")
          WHERE
          "CLIENT_TH"."SPARE_CHAR_01" like 'S%' and
          ("DOC_HDR_TH"."DOC_TYPE" NOT IN ('ADJ', 'Adjustment', 'ADMIN FEE', 'AOE FEE', 'ARREARS', 'CHARGE APP FEE', 'CLI', 'CO FEES', 'COSTS', 'CWO', 'DM', 'FEES', 'HCEO Fees', 'IJADJ', 'INTEREST', 'INV', 'JUDGEMENT COSTS', 'LATE PAYMENT COMP', 'OSB ADJ', 'SET WRITE OFF', 'SET WRITE OFF', 'WARRANT COSTS', 'WARRANT FEE')) and
          TRUNC("DOC_HDR_TH"."DOC_DATE") BETWEEN TRUNC(ADD_MONTHS(SYSDATE,-12),'MM') AND SYSDATE-1) Payments on (Payments."CLIENT_ID" = Original."CLIENT_ID")
WHERE
Payments.REFERENCE like 'S%'
I would really appreciate any help that anyone can give me.
Many thanks,
Sammy
Edited by: 998145 on 04-Apr-2013 12:42
Edited by: 998145 on 05-Apr-2013 02:31

Hi,
Let me see if I can somehow start again. So, I have a piece of code (Payments Query), which selects total payments grouped by load month/year and payment month/year. The resulting table looks as follows:
LOAD_MONTHNAME         PAYMENT_MONTHNAME           PAYMENT_AMOUNT            CLIENT_NAME                 CLIENT_CODE
5-2012                               6-2012                                        30,000                        V
3-2012                               4-2012                                        10,000                        V
10-2012                             11-2012                                       40,000                        V
5-2012                               6-2012                                        5,000                          C     The code that gives me the above dataset is as follows:
SELECT
CONCAT(CONCAT(EXTRACT(MONTH FROM "CLIENT_TH"."CREATED_DATE") , '-'), EXTRACT(YEAR FROM "CLIENT_TH"."CREATED_DATE") ) AS LOAD_MONTHNAME,
CONCAT(CONCAT(EXTRACT(MONTH FROM "DOC_HDR_TH"."CREATED_DATE") , '-'), EXTRACT(YEAR FROM "DOC_HDR_TH"."CREATED_DATE") ) AS PAYMENT_MONTHNAME,
SUM("DOC_HDR_TH"."TOTAL_GROSS"*-1) AS PAYMENT_AMOUNT,
"CLIENT_TH"."SPARE_CHAR_05" AS CLIENT_NAME,
"CLIENT_TH"."SPARE_CHAR_21" AS CLIENT_CODE
FROM
"SL"."CLIENT_TH" "CLIENT_TH" INNER JOIN
"SL"."TRAN_TH" "TRAN_TH" ON ("CLIENT_TH"."CLIENT_ID"="TRAN_TH"."CLIENT_ID") INNER JOIN
"SL"."DOC_LINK_TH" "DOC_LINK_TH" ON ("TRAN_TH"."TRAN_ID"="DOC_LINK_TH"."TRAN_ID") INNER JOIN
"SL"."DOC_HDR_TH" "DOC_HDR_TH" ON ("DOC_LINK_TH"."DOC_ID"="DOC_HDR_TH"."DOC_ID")
WHERE
("CLIENT_TH"."SPARE_CHAR_01" LIKE 'BH/%' OR
"CLIENT_TH"."SPARE_CHAR_01" LIKE 'SBH/%') AND
("DOC_HDR_TH"."DOC_TYPE" NOT IN ('ADJ', 'Adjustment', 'ADMIN FEE', 'AOE FEE', 'ARREARS', 'CHARGE APP FEE', 'CLI', 'CO FEES', 'COSTS', 'CWO', 'DM', 'FEES', 'HCEO Fees', 'IJADJ', 'INTEREST', 'INV', 'JUDGEMENT COSTS', 'LATE PAYMENT COMP', 'OSB ADJ', 'SET WRITE OFF', 'SET WRITE OFF', 'WARRANT COSTS', 'WARRANT FEE')) and
TRUNC("DOC_HDR_TH"."CREATED_DATE") BETWEEN TRUNC(ADD_MONTHS(SYSDATE,-12),'MM') AND SYSDATE-1AND
TRUNC("CLIENT_TH"."CREATED_DATE") BETWEEN TRUNC(ADD_MONTHS(SYSDATE,-24),'MM') AND SYSDATE-1
GROUP BY
"CLIENT_TH"."SPARE_CHAR_05",
"CLIENT_TH"."SPARE_CHAR_21",
EXTRACT(MONTH FROM "CLIENT_TH"."CREATED_DATE") ,
EXTRACT(YEAR FROM "CLIENT_TH"."CREATED_DATE"),
EXTRACT(MONTH FROM "DOC_HDR_TH"."CREATED_DATE"),
EXTRACT(YEAR FROM "DOC_HDR_TH"."CREATED_DATE")I am then pivoting the above data returned by the sql in excel to display the data as below, with the LOAD_MONTHNAME as Row Labels and the PAYMENT_MONTHNAME as column labels.
                     PAYMENT_MONTHNAME
LOAD_MN        4-2012               5-2012                  6-2012                     7-2012
4-2011                 £226.00                £226.00          £191.00                      £235.00
5-2011                 £361.00                £303.50          £213.50                      £278.00
6-2011                 £231.83                £240.84          £150.00                      £35.00
7-2011                 £122.06                 £88.82          £190.63                      £158.80 The above all works perfectly. The next step I need to take (and is the part that I am having trouble with) is that I need to calculate the above cash values as a % of the total balance that was loaded in the month.
The below code is what I have under a seperate query (Balance Query) to return the balances for each load_month:
SELECT
"CLIENT_TH"."SPARE_CHAR_05",
CONCAT(CONCAT(EXTRACT(MONTH FROM "CLIENT_TH"."CREATED_DATE") , '-'), EXTRACT(YEAR FROM "CLIENT_TH"."CREATED_DATE") ) AS LOAD_MONTHNAME,
SUM("DOC_HDR_TH"."TOTAL_GROSS") as INVOICE_AMOUNT
FROM
"SL"."CLIENT_TH" "CLIENT_TH" INNER JOIN
"SL"."TRAN_TH" "TRAN_TH" ON ("CLIENT_TH"."CLIENT_ID"="TRAN_TH"."CLIENT_ID") INNER JOIN
"SL"."DOC_LINK_TH" "DOC_LINK_TH" ON ("TRAN_TH"."TRAN_ID"="DOC_LINK_TH"."TRAN_ID") INNER JOIN
"SL"."DOC_HDR_TH" "DOC_HDR_TH" ON ("DOC_LINK_TH"."DOC_ID"="DOC_HDR_TH"."DOC_ID")
WHERE
"DOC_HDR_TH"."DOC_TYPE"=N'INV') AND
("CLIENT_TH"."SPARE_CHAR_01" LIKE N'BH/%' OR
"CLIENT_TH"."SPARE_CHAR_01" LIKE N'SBH/%')
GROUP BY
"CLIENT_TH"."SPARE_CHAR_05", EXTRACT(MONTH FROM "CLIENT_TH"."CREATED_DATE") ,EXTRACT(YEAR FROM "CLIENT_TH"."CREATED_DATE")This returns the below data:
CLIENT_NAME     LOAD_YEAR     LOAD_MONTH     LOAD_MONTHNAME     INVOICE_AMOUNT
A                       2011     7                    7-2011     £20,000.00
A                       2011     8                    8-2011     £30,000.00
A                       2011     9                    9-2011     £3,000.00What I basically need to do is calculate the first payments query with the above balance query to show the liquidation percentage, and I am not sure how to combine the two queries. So, for example, for Client A, the payments that came in for the accounts with a LOAD_MONTHNAME OF 7-2007 were:
                              PAYMENT_MONTHNAME
LOAD_MN                4-2012               5-2012               6-2012                     7-2012
7-2011                 £122.06      £88.82             £190.63                  £158.80 (taken directly from the Payments query results)
These then need to be calculated for each monthname against the balance loaded in 7-2011 which is £20,000 (from Balance Query).
I hope this now explains it better and thanks so much all of you for your help in looking at this.
Thanks again,
S
Edited by: 998145 on 04-Apr-2013 16:49

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Percentages with Level Based Measures

Hi All,
I am creating a report with the following 3 columns: product, count of customers, % of total customers.
The count of customers is calculated using count distinct (customer_id). Total count of customer is calculated by setting count(distinct customer_id) at the total level of the product hierarchy.
Now when I try creating my report when I try to show product by count of customers/total count of customers. I get 0. When i create a report to show product, count of customers, total count of customers, I see the correct value.
Can someone please tell me how I can view the correct % value.
Thanks,
Nikita

Actually, rather than using the CAST function, to get the decimal values for your percentage, multiply the quotient by 100.0 instead of 100 and this will work.

Formula for calculating aggregate percentage and percenatge of gender

hi all
i have a sp from which i get result columns gender,percentage,studentcount,year
my sp is like this..
IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[usp_GetState]') AND type in (N'P'))
DROP PROCEDURE usp_GetState
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE PROCEDURE [dbo].[usp_GetState]
( @ExamYear Smallint
,@ExamType Nvarchar(10)
AS
BEGIN
SET NOCOUNT ON;
WITH cte_Schools AS
SELECT
[Foreign]= CASE WHEN M.Zone ='F' THEN 'Y' ELSE 'N' END
,CASE WHEN M.Zone ='F' THEN UPPER(C.CountryName) ELSE UPPER(S.StateName) END StateName
,COUNT( DISTINCT M.SchoolCode) Schools
,SUM( M.Nos) Students
FROM rptFinalResultSummaryMaster M
LEFT OUTER JOIN State S ON M.StateCode=S.StateCode AND M.Zone=UPPER(LEFT(S.Zone,1))
LEFT OUTER JOIN Country C ON S.CountryId= C.CountryId
WHERE M.Year=@ExamYear AND M.CourseCode=@ExamType
GROUP BY CASE WHEN M.Zone ='F' THEN 'Y' ELSE 'N' END
,CASE WHEN M.Zone ='F' THEN UPPER(C.CountryName) ELSE UPPER(S.StateName) END
SELECT
SlNo=ROW_NUMBER() OVER(PARTITION BY [Foreign] ORDER BY StateName)
,[Foreign] ,StateName, Schools, Students
, Percentage = (Students/(SELECT SUM(Students)*1.000 FROM cte_Schools))*100
FROM cte_Schools
ORDER BY [Foreign],StateName
END
GO
now..i wrote formula for percentage and when i connected this sp to my rdl where i took tablixi gave percentage value to gender and total percentage column
                                       gender(column group)
total
number percentage
passcategory
this is my tablix format
my output looks like
boys     girls
total
number(percentage)
passcategory1 (percenatge)                        21 (40.38) 43 (56.75)
   64(48.56)
passcategory2 (percenatge) 11 (21.15) 10    (13.51) 31(17.33)
passcategory3    (percentage) 20 (38.46)    21    (28.37) 41(33.41)
total                     (percentage)
52(xxx)           74 (xxx)                     136 (100%)
i'm not getting thegender percentage properly for girls and boys total percentage of boys and girls coming correctly but individual percentage is not properly coming...that's because in sp i gave calculation for only total percenatge ..how can i calculate
the individual percentage of girls and boys in single column...so that i can place in gender column in tablix..and i can retrieve individual percentgaes of girls and boys seperately as shown in output..
please reply..its urgent
thanks in advance..
lucky

please reply..its urgent
Here is a tip: if you want to tick off people from helping you, you should absolutely include "urgent" in your post. That's a good way to encourage people to move to the next post. I did see this one earlier today, but did not have the time.
Anyway, I cannot really make out heads or tails of your question. Your output takes about gender, but I cannot see it in the output from the query, which appears to group by "Foreign" and StateName. How does the boys and girls get into the picture?
And for that matter that "totals" column?
Erland Sommarskog, SQL Server MVP, [email protected]

Microsoft`s definition of 「All Instance」 for calculating average percentage of CPU usage is a mystery for me !!!.

Hi, I was looking up in the 「How to Auto Scale」 document
　http://azure.microsoft.com/en-us/documentation/articles/cloud-services-how-to-scale/
and got stuck in the below paragraph, the part that describes how to calculate the
average percentage of CPU usage.
==========
All instances are included when calculating the average percentage of CPU usage and the average is
based on use over the previous hour. Depending on the number of instances that your application is using, it can take longer than the specified wait time for the scale action to occur if the wait time is set very low. The minimum time between scaling actions
is five minutes. Scaling actions cannot occur if any of the instances are in a transitioning state.
==========
Does any one know the microsoft`s definition of 「All Instance」 ?
Whether the virtual machines that are shut down but has been set into auto scaling group count as one of them?
The question is that the response time, the data shows up in the management portal delays a lot comparing to the
real time. I was wondering if the definition of the calculation described above is truly what the user`s want or not.
I`m　all ears to any information. Thanks in advance !!

Hello Tomo Shimazu,
Instance is a presence of a service eg :- VM is an instance. Copy of VM is another instance which is 2 instances of VM.
Although Microsoft’s pricing model is readily available and even offers a simple calculator (http://www.windowsazure.com/en-us/pricing/calculator/advanced/) to assist
in the process, it may be difficult to know how much of each resource you will need to get an estimate.
To understand on calculating the compute instances and the VM size, let’s first take a look at the VM role sizes offered by Microsoft.
The prices per month for each, at the time of writing, are $30, $90, $180, $360, $720 from ExtraSmall to ExtraLarge respectively. So with the exception of the
transition from ExtraSmall to Small, going to the next size VM is exactly twice the cost, which, is mirrored in the increase of resources you get at each level. With each step, CPU Cores, Memory, Disk Space, and Bandwidth are all doubled from the previous.
If this is the case, then, is there any advantage to any one of these over the others? The answer is yes. In the majority of cases, the best bet will be to go with the small instance, with the reason being that because all of these resources scale equally
to cost it is possible to achieve the exact equivalent to a larger VM simply by increasing the number of instances. For example 8 small instances is equivalent to one ExtraLarge instance, with the advantage of the fact that when not needed these small instances
can be turned off and will cost nothing.
By hosting the application in this manner, it increases the effectiveness of the number one reason that a business would transition to the cloud anyway – Scalability.
Obviously 16 smaller instances can be more finely adjusted to the application’s usage than 2 ExtraLarge can. If traffic gets higher or lower than expected, two Small Instances can be added at $180/mo for the time that they are running, versus adding another
ExtraLarge for $720/mo.
The only exception to using the smallest instance, is in the case of the ExtraSmall, which offers only 1/20 of the bandwidth of the Small, making it only feasible
for very lightly accessed applications or, more likely, a QA environment.
From this point, it becomes much easier to estimate the compute instance requirements of migrating the application to Windows Azure. Take the current server(s)
total resources (CPU, RAM, etc) and find how many Small instances it would take to recreate it. This gives a good starting point, however, remember that these instances can be turned on and off to meet demand, and beyond the first instance, there is no charge
when the instances are off. This can lead to significant cost savings, and is the primary incentive to migrating to the cloud.
For azure pricing information, refer
pricing details.
If you still unclear about pricing and billing, you may raise a service request with billing team
here
Hope this helps.
Regards,
Shirisha Paderu

Calculating liquidation - percentages with subqueries

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