Query to calculate profit

Helo experts
                       the Above query i am using to calculate the profit based on sale and purchase price but the problem which i am facing is it includes the credit memo invoice also ...According to my need i only want those invoice whose credit memo is not made means those are not cancelled . pls update this query according to my need ........
SELECT T0.[ItmsGrpCod] as grpcode,
MAX (T1.ItmsGrpNam) as GroupName,
I1.DocNum as docnum,I1.doctype as doctype , D0.CardCode as cardcode ,
MAX ( D0.CardName ) as Name ,
D1.ItemCode as 'itmcode' , D1.ocrcode as [Branch] ,
E1.firstname as [Owner Name] ,
max ( D1.Dscription ) as Descp ,
sum ( D1.Quantity ) as Quantity ,
Sum ( D1.StockPrice ) * sum ( D1.Quantity ) as [Purchase Price] ,
sum ( D1.Price ) * sum ( D1.Quantity ) as [Sales Price] ,
(sum ( D1.Price ) * sum ( D1.Quantity )) - (Sum ( D1.StockPrice ) * sum ( D1.Quantity )) AS [Actual Proft / Loss]
from ODLN D0    , DLN1 D1 INNER JOIN OITM T0 ON D1.ItemCode = T0.ItemCode INNER JOIN OITB T1 ON T0.ItmsGrpCod= T1.ItmsGrpCod, OHEM E1 , OINV I1
where
D0.Docentry = D1.Docentry and D1.ownercode = E1.empid
and D1.TrgetEntry = I1.DocEntry and I1.doctype = 'I' and upper( D1.[Dscription]) not like upper('%Debit%')
And I1.TaxDate BETWEEN CASE WHEN [%0] = '' THEN '01/01/1900' ELSE [%0] END AND CASE WHEN [%1] = '' THEN GETDATE() ELSE [%1] END
Group By I1.DocNum, D0.CardCode , T0.[ItmsGrpCod],D1.ItemCode,D1.ocrcode , E1.firstname ,I1.doctype
union all
SELECT '' as grpcode ,
'no' as GroupName,
I1.DocNum as docnum,I1.doctype as doctype , I1.CardCode as cardcode ,
MAX ( I1.CardName ) as Name ,
' ' as itmcode , I2.ocrcode as [Branch] ,
E1.firstname as [Owner Name] ,
max ( I2.Dscription ) as Descp ,
sum ( I2.Quantity ) as Quantity ,
' 0' as [Purchase Price] ,
sum ( I2.linetotal) as [Sales Price] ,
sum ( I2.linetotal) AS [Actual Proft / Loss]
from OHEM E1 , OINV I1 ,inv1 I2
where
I1.[DocEntry] = I2.[DocEntry] and I2.ownercode = E1.empid and upper( I2.[Dscription]) not like upper('%Debit%')
and I1.doctype = 'S'
And I1.TaxDate BETWEEN CASE WHEN [%0] = '' THEN '01/01/1900' ELSE [%0] END AND CASE WHEN [%1] = '' THEN GETDATE() ELSE [%1] END
Group By I1.DocNum, I1.CardCode , I2.ocrcode , E1.firstname,I1.doctype
Regards
saurav Gupta

Hi Saurav..........
SELECT T0.ItmsGrpCod as grpcode,
MAX (T1.ItmsGrpNam) as GroupName,
I1.DocNum as docnum,I1.doctype as doctype , D0.CardCode as cardcode ,
MAX ( D0.CardName ) as Name ,
D1.ItemCode as 'itmcode' , D1.ocrcode as Branch ,
E1.firstname as Owner Name ,
max ( D1.Dscription ) as Descp ,
sum ( D1.Quantity ) as Quantity ,
Sum ( D1.StockPrice ) * sum ( D1.Quantity ) as Purchase Price ,
sum ( D1.Price ) * sum ( D1.Quantity ) as Sales Price ,
(sum ( D1.Price ) * sum ( D1.Quantity )) - (Sum ( D1.StockPrice ) * sum ( D1.Quantity )) AS Actual Proft / Loss
from ODLN D0 , DLN1 D1 INNER JOIN OITM T0 ON D1.ItemCode = T0.ItemCode INNER JOIN OITB T1 ON T0.ItmsGrpCod= T1.ItmsGrpCod, OHEM E1 , OINV I1, inv1 I2
where
D0.Docentry = D1.Docentry and D1.ownercode = E1.empid and I2.TargetType=-1
and D1.TrgetEntry = I1.DocEntry and I1.doctype = 'I' and upper( D1.Dscription) not like upper('%Debit%')
And I1.TaxDate BETWEEN CASE WHEN %0 = '' THEN '01/01/1900' ELSE %0 END AND CASE WHEN %1 = '' THEN GETDATE() ELSE %1 END
Group By I1.DocNum, D0.CardCode , T0.ItmsGrpCod,D1.ItemCode,D1.ocrcode , E1.firstname ,I1.doctype
union all
SELECT '' as grpcode ,
'no' as GroupName,
I1.DocNum as docnum,I1.doctype as doctype , I1.CardCode as cardcode ,
MAX ( I1.CardName ) as Name ,
' ' as itmcode , I2.ocrcode as Branch ,
E1.firstname as Owner Name ,
max ( I2.Dscription ) as Descp ,
sum ( I2.Quantity ) as Quantity ,
' 0' as Purchase Price ,
sum ( I2.linetotal) as Sales Price ,
sum ( I2.linetotal) AS Actual Proft / Loss
from OHEM E1 , OINV I1 ,inv1 I2
where
I1.DocEntry = I2.DocEntry and I2.ownercode = E1.empid and upper( I2.Dscription) not like upper('%Debit%')
and I1.doctype = 'S' And I2.TargetType=-1
And I1.TaxDate BETWEEN CASE WHEN %0 = '' THEN '01/01/1900' ELSE %0 END AND CASE WHEN %1 = '' THEN GETDATE() ELSE %1 END
Group By I1.DocNum, I1.CardCode , I2.ocrcode , E1.firstname,I1.doctype
This will not include Invoice whose Credit Memo is raised.
Regards,
Rahul

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SQL Query to calculate on-time dispatch with a calendar table

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FullDateNZ HolidayNZ IsHolidayNZ IsBusinessDay
24/12/2014 NULL 0 1
25/12/2014 Christmas Day 1 0
26/12/2014 Boxing Day 1 0
27/12/2014 NULL 0 0
28/12/2014 NULL 0 0
29/12/2014 NULL 0 1
30/12/2014 NULL 0 1
31/12/2014 NULL 0 1
1/01/2015 New Year's Day 1 0
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3/01/2015 NULL 0 0
4/01/2015 NULL 0 0
5/01/2015 NULL 0 1
6/01/2015 NULL 0 1
This is what I get from the query:
Week# ClntGroup CORD_DocumentCode OpenDate DESP_PostedDate OnTime
52 Web Sales 123456 24/12/2014 29/12/2014 0
52 Web Sales 123457 24/12/2014 30/12/2014 0
52 Web Sales 123458 24/12/2014 29/12/2014 0
52 Local Market 123459 24/12/2014 29/12/2014 0
1 Web Sale 123460 31/12/2014 5/01/2015 0
1 Local Market 123461 31/12/2014 6/01/2015 0
As the difference between the dispatched and open date is 2 business days or less, the result I expect is this:
Week# ClntGroup CORD_DocumentCode OpenDate DESP_PostedDate OnTime
52 Web Sales 123456 24/12/2014 29/12/2014 1
52 Web Sales 123457 24/12/2014 30/12/2014 1
52 Web Sales 123458 24/12/2014 29/12/2014 1
52 Local Market 123459 24/12/2014 29/12/2014 1
1 Web Sale 123460 31/12/2014 5/01/2015 1
1 Local Market 123461 31/12/2014 6/01/2015 1
I am using SQL Server 2012
Thanks
Eric

>> The current criteria exclude week-ends but not bank holidays therefore I have created a calendar table with a column name “isBusinessDay” but I don't know how to best use this table to calculate the On-Time metric. <<
The Julian business day is a good trick. Number the days from whenever your calendar starts and repeat a number for a weekend or company holiday.
CREATE TABLE Calendar
(cal__date date NOT NULL PRIMARY KEY,
julian_business_nbr INTEGER NOT NULL,
INSERT INTO Calendar
VALUES ('2007-04-05', 42),
('2007-04-06', 43), -- good Friday
('2007-04-07', 43),
('2007-04-08', 43), -- Easter Sunday
('2007-04-09', 44),
('2007-04-10', 45); --Tuesday
To compute the business days from Thursday of this week to next
Tuesdays:
SELECT (C2.julian_business_nbr - C1.julian_business_nbr)
FROM Calendar AS C1, Calendar AS C2
WHERE C1.cal__date = '2007-04-05',
AND C2.cal__date = '2007-04-10';
We do not use flags in SQL; that was assembly language. I see from your code that you are still in a 1960's mindset. You used camelCase for a column name! It makes the eyes jump and screws up maintaining code; read the literature.
The “#” is illegal in ANSI/ISO Standard SQL and most other ISO Standards. You are writing 1970's Sybase dialect SQL! The rest of the code is a mess.
The one column per line, flush left and leading comma layout tells me you used punch cards when you were learning programming; me too! We did wrote that crap because a card had only 80 columns and uppercase only IBM 027 character sets. STOP IT, it make you
look stupid in 2015.
You should follow ISO-11179 rules for naming data elements. You failed. You believe that “status” is a precise, context independent data element name! NO!
You should follow ISO-8601 rules for displaying temporal data. But you used a horrible local dialect. WHY?? The “yyyy-mm-dd” is the only format in ANSI/ISO Standard SQL. And it is one of the most common standards embedded in ISO standards. Then you used crap
like “6/01/2015” which is varying length and ambiguous that might be “2015-06-01” or “2015-01-06” as well as not using dashes.
We need to know the data types, keys and constraints on the table. Avoid dialect in favor of ANSI/ISO Standard SQL.
And you need to read and download the PDF for:
https://www.simple-talk.com/books/sql-books/119-sql-code-smells/
>> Please find below the current calculation for the On-Time Column: <<
“No matter how far you have gone down the wrong road, turn around”
-- Turkish proverb
Can you throw out this mess and start over? If you do not, then be ready to have performance got to hell? You will have no maintainable code that has to be kludged like you are doing now? In a good schema an OUTER JOIN is rare, but you have more of them in
ONE statement than I have seen in entire major corporation databases.
--CELKO-- Books in Celko Series for Morgan-Kaufmann Publishing: Analytics and OLAP in SQL / Data and Databases: Concepts in Practice Data / Measurements and Standards in SQL SQL for Smarties / SQL Programming Style / SQL Puzzles and Answers / Thinking
in Sets / Trees and Hierarchies in SQL

TSQL query to calculate Count / Sum grouping by date on a Pivot Table

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Subject
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50
17/02/2014
Luke
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60
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2
20
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I want to Group by dates and move the Hunt to columns calculating their counts and sum their marks too. Like given below.
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Go
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INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-17 15:00:00.000','Luke','Science','2','60')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-16 15:00:00.000','Luke','Science','2','20')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-16 15:00:00.000','Luke','Science','3','20')
Go
select * from Student_Log
select [DATE] , [Student], [Subject] ,[1],[2],[3],[4],Total =([1]+[2]+[3]+[4])
from
( select [Date], [Student], [Subject],[Hunt],[Marks] from Student_Log
)x
pivot
count ( [Hunt]) for [Hunt]
in ([1],[2],[3],[4])
)p
order by [Date] desc
I have done this far only. More than this I need to enhance it with the Percentage of Hunts for each Student.
ie like below table.
On 18th Sam in Maths he had 2 rows on 1st hunt and 1 row on 2nd hunt. So On the Pivot table is it possible to represent it on percentage using the Total Attempts column.
Thanks a lot in advance.
Its runnung in SQL 2000 Server.

Create Table Student_Log ([Date] datetime ,Student varchar (20), Subject varchar (20) ,Hunt int ,Marks int )
Go
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-18 15:00:00.000','Sam ','Maths','1','20')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-18 15:00:00.000','Sam ','Maths','1','10')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-18 15:00:00.000','Sam ','Maths','2','30')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-18 15:00:00.000','Luke','Science','1','50')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-17 15:00:00.000','Sam ','Maths','2','50')
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INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-16 15:00:00.000','Luke','Science','2','20')
INSERT INTO Student_Log ([Date],Student, [Subject],Hunt,Marks) VALUES('2014-02-16 15:00:00.000','Luke','Science','3','20')
Go
select * from Student_Log
;with mycte as
Select [Date], [Student], [Subject] ,
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Count(CASE WHEN [Hunt]=2 Then Hunt End) as Hunt2,
Count(CASE WHEN [Hunt]=3 Then Hunt End) as Hunt3,
Count(CASE WHEN [Hunt]=4 Then Hunt End) as Hunt4,
Count(CASE WHEN [Hunt]=1 Then Hunt End)
+Count(CASE WHEN [Hunt]=2 Then Hunt End)
+Count(CASE WHEN [Hunt]=3 Then Hunt End)+
+Count(CASE WHEN [Hunt]=4 Then Hunt End) as Total,
ISNULL(SUM(CASE WHEN [Hunt]=1 Then Marks End),0) as Mark1,
ISNULL(SUM(CASE WHEN [Hunt]=2 Then Marks End),0) as Mark2,
ISNULL(SUM(CASE WHEN [Hunt]=3 Then Marks End),0) as Mark3,
ISNULL(SUM(CASE WHEN [Hunt]=4 Then Marks End),0) as Mark4
from Student_Log
Group By [Date], [Student], [Subject]
Select [Date], [Student], [Subject]
, Cast(Hunt1*1./Total*100 as int) as [1]
, Cast(Hunt2*1./Total*100 as int) as [2]
,Cast(Hunt3*1./Total*100 as int) as [3]
,Cast(Hunt4*1./Total*100 as int) as [4]
,Total,Marks=( Mark1+Mark2+Mark3+Mark4)
from mycte
order by [Date] DESC, Student desc
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Query to calculate time frames

hello,
id like to write a query that will calculate time frames ;
my source table looks like this:
company     category     date
ORACLE     A     1/01/2012
ORACLE     A     2/01/2012
ORACLE     B     3/01/2012
ORACLE     C     4/01/2012
IBM     A     1/01/2012
IBM     A     2/01/2012
IBM     A     3/01/2012
IBM     A     4/01/2012my desired result:
company     category     from     to
ORACLE     A     1/01/2012     2/01/2012
ORACLE     B     3/01/2012     3/01/2012
ORACLE     C     4/01/2012     31/12/2999
IBM     A     1/01/2012     31/12/2999can you please guide me with use of which functions i can achieve that?
id appreciate any tips
thank you
rgds
Edited by: UserMB on Jan 11, 2012 5:14 PM

One way...
ME_XE?with t as
2 (
3    select 'ORACLE' col1, 'A' col2, to_date('1/01/2012', 'dd/mm/yyyy') col3
4      from dual
5    union all
6    select 'ORACLE', 'A', to_date('2/01/2012', 'dd/mm/yyyy')
7      from dual
8    union all
9    select 'ORACLE', 'B', to_date('3/01/2012', 'dd/mm/yyyy')
10      from dual
11    union all
12    select 'ORACLE', 'C', to_date('4/01/2012', 'dd/mm/yyyy')
13      from dual
14    union all
15    select 'IBM', 'A', to_date('1/01/2012', 'dd/mm/yyyy')
16      from dual
17    union all
18    select 'IBM', 'A', to_date('2/01/2012', 'dd/mm/yyyy')
19      from dual
20    union all
21    select 'IBM', 'A', to_date('3/01/2012', 'dd/mm/yyyy')
22      from dual
23    union all
24    select 'IBM', 'A', to_date('4/01/2012', 'dd/mm/yyyy') from dual
25 )
26 select
27    col1, col2, min(col3), case when max(col3) = max_company_date then to_date('31/12/2999','dd/mm/yyyy') else max(col3) end
28 from
29 (
30    select col1, col2, col3, max(col3) over (partition by col1) as max_company_date
31    from t
32 )
33 group by col1, col2, max_company_date;
COL1               COL MIN(COL3)                  CASEWHENMAX(COL3)=MAX_COMP
ORACLE             B   03-JAN-2012 12 00:00       03-JAN-2012 12 00:00
ORACLE             A   01-JAN-2012 12 00:00       02-JAN-2012 12 00:00
ORACLE             C   04-JAN-2012 12 00:00       31-DEC-2999 12 00:00
IBM                A   01-JAN-2012 12 00:00       31-DEC-2999 12 00:00
4 rows selected.
Elapsed: 00:00:00.01
ME_XE?

Query Designer: calculate relative revenue

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I would like to calculate the relative revenue (= revenue / revenue of the biggest market participant) in the BEx Query Designer. I have a key figure "revenue" and my market participant as characteristic.
I first tried to create a formula like "revenue / max(revenue)" but this doesn't work that way in Query Designer. I now tried to solve this with a calculated keyfigure but don't come to a solution.
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Create a 'Replacement Path' variable having reference to 'Market Participant' characteristic. Use this variable in your formula and use the Max. function on 'Market Participant' variable.
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I'm trying to build the dax query to determine the distinct count for a column returned by the application of a Filter function.
evaluate(
row("counter",
countrows(
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I need to count the distinct values for an id returned by the Filter function.
Any helps, please? Thanks

Hi pscorca,
According to your description, you want to calculate the distinct values for records where change_date is 2013. Right?
In this scenario, we can use the DISTINCT() function within COUNTROWS(). Please try the expression below:
=calculate(
countrows(distinct(order_summary[column])),
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Reference:
Distinct Count Measure in PowerPivot using DAX
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Hi Experts,
I have a basic question-
when we work on 'profit maximisation' how does the system calculate profits. As I understand the calculation is revenue- total cost. costs is what we define in the system. But how is the revenue calculated?
What it the logic where profit maximisation is selected over cost minimisation?
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Use
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I created each Branch as a profit Centre and the filed name is OPRC.PrcCode . If the user at a particular branch logged in SAP by using his ID and when he is adding a SO the profit centres list should appear in Profit centre filed.
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Hi,
We have a client running UCCX 7.0 and we are upgrading it to 8.5.
They have a custom .net application that display different stats on IP Phone. I have converted all of them except i am having problem calculating Service Level Met %
Existing SQL query converts boolean into Float but Informix gives error that boolean can't be converted to float or integer.
here is part of existing query (SQl Server) to calculate service level met %
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I will greatly appreciate if anyone can help converting this query into Informix query format.
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        )z
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    )y
ON y.CSQName = csqsum.CSQName
Please rate helpfull posts.
Graham

Query Designer: Calculate a % based on two other totals

Hi Gurus,
Here is the scenario of my query:
A     B     C     D     E
2      3     6     4     150%
1      2     2     4     50%
2      2     4     8     50%
1      1     1     10   10%
6      8     13    26   50%
Column C is calulated by AB and I am able to get the total 13 instead of 48 (68) by using the "Total" calculation function.
The problem is about the Total of Column E. It is a % based on columns C versus D. There's no problem for individual results, but for the total I cannot get the 50% because my query calculates the total result comparing 48 (6*8) Vs 26.
If I also use the Total function for the E Column, what it shows is an addition of all the individual results, so 260%.
I can't find the way to get the Total 50% that takes the "Total" function of Column C and Column D.
Please, any idea so solve this scenario?
Many thanks!!
Regards,
Jordi

Hi,
The "Calculate Result As" is a Display option. That value is not considered in the calculations, only for display.
You may try "Exception Aggregation" , 'Total' for Column C with Ref Characteristic being the Char at the lowest level of which you see the data and try.
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