Access Pivot Table truncates sums
I use Pivot Tables in Access 2007 a lot and discovered recently when trying to tie out the results that when the raw data has decimal values, as in a currency format, the sum function in the pivot table is truncating the results to a whole interger.
Not rounding, but truncating, so this is an issue with accuracy. The results are displaying in a currency format, but anything to the right of the decimal is a zero. How can I get the pivot table sums to be accurate to two decimal points?
SUM("Sales Measures".Dollars By Markets.Region )) it will return sum of dollars by region wise
or
try new calculated item
$1 + $2 +$3 likewise it will sum all the n columns u r having
Edited by: Kishore P on Jun 22, 2010 7:16 PM
Similar Messages
-
IF statement in Calculated Field for Share point, doesnt calculate sum in my Excel Pivot table.
Hi Everyone
I used this in SP calculated column field.
=IF([Shift Sched]="1pm to 10pm","0",IF([Shift Sched]="2pm to 11pm","1",IF([Shift Sched]="3pm to 12am","2",IF([Shift Sched]="4pm to 1am","3",IF([Shift Sched]="5pm to 2am","4",IF([Shift
Sched]="6pm to 3am","5",IF([Shift Sched]="7pm to 4am","6",IF([Shift Sched]="8pm to 5am","7",IF([Shift Sched]="9pm to 6am","8",IF([Shift Sched]="10pm to 7am","8",IF([Shift
Sched]="11pm to 8am","7",IF([Shift Sched]="12pm to 9am","6",IF([Shift Sched]="1am to 10am","5",IF([Shift Sched]="2am to 11am","4",IF([Shift Sched]="3am to 12pm","3",IF([Shift
Sched]="4am to 1pm","2",IF([Shift Sched]="5am to 2pm","1",IF([Shift Sched]="6am to 3pm","0",IF([Shift Sched]="7am to 4pm","0",IF([Shift Sched]="8am to 5pm","0",IF([Shift
Sched]="9am to 6pm","0",IF([Shift Sched]="10am to 7pm","0",IF([Shift Sched]="11am to 8pm","0",IF([Shift Sched]="12pm to 9pm","0"))))))))))))))))))))))))
it was able to work fine however my issue is when i extract the information to excel and use a pivot table the table is not able to calulate the sum of the value for this field. Can you please help me with this. this is for an Attendance traker for Night
Differential pay for employees. they create a daily log of their shift schedule and if i summarize this in pivot the value in the calculated field for this is not getting the sum.
Thanks,
NormanHi Everyone
I used this in SP calculated column field.
=IF([Shift Sched]="1pm to 10pm","0",IF([Shift Sched]="2pm to 11pm","1",IF([Shift Sched]="3pm to 12am","2",IF([Shift Sched]="4pm to 1am","3",IF([Shift Sched]="5pm to 2am","4",IF([Shift
Sched]="6pm to 3am","5",IF([Shift Sched]="7pm to 4am","6",IF([Shift Sched]="8pm to 5am","7",IF([Shift Sched]="9pm to 6am","8",IF([Shift Sched]="10pm to 7am","8",IF([Shift
Sched]="11pm to 8am","7",IF([Shift Sched]="12pm to 9am","6",IF([Shift Sched]="1am to 10am","5",IF([Shift Sched]="2am to 11am","4",IF([Shift Sched]="3am to 12pm","3",IF([Shift
Sched]="4am to 1pm","2",IF([Shift Sched]="5am to 2pm","1",IF([Shift Sched]="6am to 3pm","0",IF([Shift Sched]="7am to 4pm","0",IF([Shift Sched]="8am to 5pm","0",IF([Shift
Sched]="9am to 6pm","0",IF([Shift Sched]="10am to 7pm","0",IF([Shift Sched]="11am to 8pm","0",IF([Shift Sched]="12pm to 9pm","0"))))))))))))))))))))))))
it was able to work fine however my issue is when i extract the information to excel and use a pivot table the table is not able to calulate the sum of the value for this field. Can you please help me with this. this is for an Attendance traker for Night
Differential pay for employees. they create a daily log of their shift schedule and if i summarize this in pivot the value in the calculated field for this is not getting the sum.
Thanks,
Norman -
TSQL query to calculate Count / Sum grouping by date on a Pivot Table
Hi All
I need help to group the pivot table output to group by dates and sum/count the values. I have a table like shown below.
Date
Student
Subject
Hunt
Marks
18/02/2014
Sam
Maths
1
20
18/02/2014
Sam
Maths
1
10
18/02/2014
Sam
Maths
2
30
18/02/2014
Luke
Science
1
50
17/02/2014
Sam
Maths
2
50
17/02/2014
Luke
Science
2
60
16/02/2014
Luke
Science
2
20
16/02/2014
Luke
Science
3
20
I want to Group by dates and move the Hunt to columns calculating their counts and sum their marks too. Like given below.
I wrote a pivot query like below but If i group it with dates and calculate the total marks it throws aggregate errors.
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')
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')
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
;with mycte as
Select [Date], [Student], [Subject] ,
Count(CASE WHEN [Hunt]=1 Then Hunt End) as Hunt1,
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
drop table Student_Log -
Multi-level UPCs (I can do as pivot table in Access and Excel, but not SAP)
I'm working for a shoe manufacturer. We've got inventory that can be grouped into "cases" as well as "open-case" in regards to UPCs. We're able to apply the UPC to individual items such as open-case stock OR case-only, but we can't figure out how we can add the groupings needed to add UPCs to individual items AND the cases associated with each shoe/size. Here's a little more detail: We sell shoes in cases, MOSTLY. Occasionally, we have a shoe model that will sell as open-case. The cases (which have a UPC) contain an assortment of sizes (each of which has its own UPC). We need to be able to access the information for the associated cases when looking at a product and when on a case, we need to see the make-up of the case - such as associated sizes, qty contained, and their respective UPCs. I know we could easily do this in Access or Excel using pivot tables... Is this POSSIBLE in SAP Business One???
You may check Sales BOM function to see if that meet your need. The case can be set up as an Sales BOM item.
Thanks,
Gordon -
Hi Experts,
I have the following pivot table:
----------SUM1--SUM2--SUM3
-------A--20------30-------45
-------P--10------15--------5
----DIFF-10------15-------40
where the last row is new calculated item. Is it possible to create another calculated row by using value from the 'Diff' row?. What I want to achieve is Running Sum for 'Diff' row.
So I need an output like:
----------SUM1--SUM2--SUM3
-------A--20------30-------45
-------P--10------15--------5
----DIFF-10------15-------40
RSUM-10----25-------65
My BI version is BI EE 10.1.3.4.1. I suppose that some kind of trick will be helped.
Thanks in advance for any suggestion
Regards,
EskHi, It is possible in pivot view.
You need to move the measure labels to the left..where it says rows.
Once that is done, we can click on any of the facts and choose display as running sum -
Running sum per column in pivot table
Hello,
I am facing a problem with a running sum in a pivot table. As you know, the running sum provided by OBIEE spans across rows and columns. My requirements force me to have a running sum per each column (I have four columns, one for each quarter of the year). My pivot is as follows:
------------------------------|| 1st Quarter / 2nd Quarter ...
type of product / status || (Measure / Running Sum) / (Measure / Running Sum) ...
I've tried using the evaluate function with a "sum over" but that doesn't seem to work either.
Do you have any ideas that could be useful to solve this?
Thank you in advance for your time,
João MarquesDo not use the "running measure" button in pivot table, but try this :
edit the formula of your measure and type :
RSUM(mesure by dimension)
where dimension is the attribute dimension that you put on the ROWS of your pivot table
Exemple : I've got the criteria REVENUE, YEAR, CUSTOMER TYPE
I put the YEAR in the Columns of the pivot table
I put the CUSTOMER TYPE on the rows of the pivot table
I put the REVENUE in the measures of the pivot table
Measure has the formula : RSUM("Facts Revenue".Revenue BY Customers."Customer Type") -
How do you sum rows in pivot tables? Every sum option I tried resulted in sums of the measures columns.
SUM("Sales Measures".Dollars By Markets.Region )) it will return sum of dollars by region wise
or
try new calculated item
$1 + $2 +$3 likewise it will sum all the n columns u r having
Edited by: Kishore P on Jun 22, 2010 7:16 PM -
Hi .. I am using Axis(1) to select all the retrieved records. The MDX query looks like-
WITH MEMBER [Measures].[New Opportunity Count]
AS SUM(
{DESCENDANTS(
[Opportunity].[Opportunity].CURRENTMEMBER,
1
iif([Measures].[Opportunity Sales Days - Invisible] > 0,1,0)
//HAVING [Measures].[New Opportunity Count] = 1
MEMBER [Measures].[Latest Opportunity Count]
AS SUM(
EXCEPT( AXIS(1),
[Opportunity].[Opportunity].[All]
),[Measures].[New Opportunity Count])
MEMBER [Measures].[Opportunity Sales Days]
AS iif([Measures].[New Opportunity Count] =0,0,
iif([Opportunity].[Opportunity].CURRENTMEMBER.MEMBER_KEY =[Opportunity].[Opportunity].[All].MEMBER_KEY,
(SUM(
EXCEPT(AXIS(1),
[Opportunity].[Opportunity].[All]
),[Measures].[Opportunity Sales Days - Invisible])/[Measures].[Latest Opportunity Count]),
[Measures].[Opportunity Sales Days - Invisible]/[Measures].[New Opportunity Count])
SELECT
[Measures].[Latest Opportunity Count],
[Measures].[New Opportunity Count],
[Measures].[Opportunity Sales Days]
}ON COLUMNS,
[Opportunity].[Opportunity].&[{140D9883-6F49-E011-AEA0-00155D032A00}],
[Opportunity].[Opportunity].&[{3A2BB124-EE85-E011-8A06-00155D032A00}],
[Opportunity].[Opportunity].&[{60036FE8-DC48-E111-975F-00155D032A00}],
[Opportunity].[Opportunity].&[{CA158EE5-C445-E111-975F-00155D032A00}],
[Opportunity].[Opportunity].&[{B69F83EB-832D-E211-9861-00155D032A00}],
[Opportunity].[Opportunity].&[{D500AE90-606C-E211-83AD-00155D03570D}],
[Opportunity].[Opportunity].[All]
// [Opportunity].[Opportunity].members
ON ROWS
FROM [IMGROUP Base]
It works fine in SSMS editor, but while trying to access the same query from Excel pivot table, it gives the error : "Slicer axis cannot be referenced". I have taken the MDX query from excel and it looks like -
SELECT NON EMPTY Hierarchize({DrilldownLevel({[Opportunity].[Opportunity Hierarchy].[All]},,,INCLUDE_CALC_MEMBERS)}) DIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME,[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Account Manager],[Opportunity].[Opportunity
Hierarchy].[Opportunity].[Opportunity Actual Close Date Time],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Age In Days],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Close Date],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity
Created On Date],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Created On Date Time],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Days In Sales Stage],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Delivery
Owner],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Estimated Close Date],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Estimated Project Duration In Days],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity
Estimated Project Duration In Months],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Estimated Project Duration In Working Days],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Estimated Project End Date],[Opportunity].[Opportunity
Hierarchy].[Opportunity].[Opportunity Estimated Project First Working Day Date],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Estimated Project Last Working Day Date],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Estimated
Project Start Date],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Latest News],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Latest News Updated On Date Time],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity
Lost Competitor],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Originating Lead Name],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Owning Organisation],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity
Revenue Spread],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Sales Assist],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Sales Assist-Hidden],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Sales Stage],[Opportunity].[Opportunity
Hierarchy].[Opportunity].[Opportunity Sales Stage Updated On Date Time],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Source Full Name],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity State],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity
Sub Source],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Updated On Date Time],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Won Lost Description],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Won Lost
Reason] ON COLUMNS FROM (SELECT ({[Opportunity].[Opportunity Hierarchy].[Opportunity].&[{B69F83EB-832D-E211-9861-00155D032A00}], [Opportunity].[Opportunity Hierarchy].[Opportunity].&[{CA158EE5-C445-E111-975F-00155D032A00}], [Opportunity].[Opportunity
Hierarchy].[Opportunity].&[{60036FE8-DC48-E111-975F-00155D032A00}], [Opportunity].[Opportunity Hierarchy].[Opportunity].&[{3A2BB124-EE85-E011-8A06-00155D032A00}], [Opportunity].[Opportunity Hierarchy].[Opportunity].&[{140D9883-6F49-E011-AEA0-00155D032A00}]})
ON COLUMNS FROM [IMGROUP Base]) WHERE ([Measures].[Opportunity Sales Days]) CELL PROPERTIES VALUE, FORMAT_STRING, LANGUAGE, BACK_COLOR, FORE_COLOR, FONT_FLAGS
Any help, will be greatly apreciated.
Sayan.Sorry, it was a mistake in my query. Now I have corrected each of them and individually each of them works fine. See below-
CREATE MEMBER CURRENTCUBE.[Measures].[New Opportunity Count]
AS SUM(
{DESCENDANTS(
[Opportunity].[Opportunity].CURRENTMEMBER,
1
iif([Measures].[Opportunity Sales Days - Invisible] > 0,1,0)
VISIBLE = 0 ,
ASSOCIATED_MEASURE_GROUP = 'Opportunity';
CREATE MEMBER CURRENTCUBE.[Measures].[Latest Opportunity Count]
AS SUM(
EXCEPT(Axis(0),
[Opportunity].[Opportunity Hierarchy].[All]
),[Measures].[New Opportunity Count]),
VISIBLE = 0 ,
ASSOCIATED_MEASURE_GROUP = 'Opportunity';
CREATE MEMBER CURRENTCUBE.[Measures].[Opportunity Sales Days]
AS iif([Measures].[New Opportunity Count] =0,0,
iif([Opportunity].[Opportunity].CURRENTMEMBER.MEMBER_KEY =[Opportunity].[Opportunity].[All].MEMBER_KEY,
(SUM(
EXCEPT(AXIS(0),
[Opportunity].[Opportunity Hierarchy].[All]
),[Measures].[Opportunity Sales Days - Invisible])/[Measures].[Latest Opportunity Count]),
[Measures].[Opportunity Sales Days - Invisible]/[Measures].[New Opportunity Count])
VISIBLE = 1,
DISPLAY_FOLDER = 'Days',
ASSOCIATED_MEASURE_GROUP = 'Opportunity';
CREATE MEMBER CURRENTCUBE.[Measures].[Opportunity Actual Value Home Currency New]
AS SUM(
{DESCENDANTS(
[Opportunity].[Opportunity].CURRENTMEMBER,
1
iif([Measures].[Opportunity Sales Days] > 0,[Measures].[Opportunity Actual Value Home Currency],0)
VISIBLE = 0,
ASSOCIATED_MEASURE_GROUP = 'Opportunity' ;
CREATE MEMBER CURRENTCUBE.[Measures].[Opportunity Actual Revenue Per Sales Day]
AS iif([Measures].[Opportunity Actual Value Home Currency New] =0,0,
iif([Opportunity].[Opportunity Hierarchy].CURRENTMEMBER.MEMBER_KEY =[Opportunity].[Opportunity Hierarchy].[All].MEMBER_KEY,
(SUM(
EXCEPT( AXIS(0),
[Opportunity].[Opportunity Hierarchy].[All]
),[Measures].[Opportunity Actual Value Home Currency New])/[Measures].[Opportunity Sales Days]),
([Measures].[Opportunity Actual Value Home Currency New]/[Measures].[Opportunity Sales Days]))
FORMAT_STRING = "£#,##0.00;-£#,##0.00;#",
VISIBLE = 1,
DISPLAY_FOLDER = 'Financial',
ASSOCIATED_MEASURE_GROUP = 'Opportunity';
But, when I want to select them together from Excel, I am geeing the below error-
CellOrdinal 0
VALUE #Error MdxScript(IMGROUP Base) (1436, 7) Members, tuples or sets must use the same hierarchies in the EXCEPT function.
FORMAT_STRING £#,##0.00;-£#,##0.00;#
LANGUAGE (null)
BACK_COLOR (null)
FORE_COLOR (null)
FONT_FLAGS (null)
The generated MDX in Excel as -
SELECT {[Measures].[Opportunity Actual Revenue Per Sales Day],[Measures].[Opportunity Sales Days]} DIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME ON COLUMNS , NON EMPTY Hierarchize({DrilldownLevel({[Opportunity].[Opportunity Hierarchy].[All]},,,INCLUDE_CALC_MEMBERS)})
DIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME,[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Account Manager],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Actual Close Date Time],[Opportunity].[Opportunity
Hierarchy].[Opportunity].[Opportunity Age In Days],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Close Date],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Created On Date],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity
Created On Date Time],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Days In Sales Stage],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Delivery Owner],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Estimated
Close Date],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Estimated Project Duration In Days],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Estimated Project Duration In Months],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity
Estimated Project Duration In Working Days],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Estimated Project End Date],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Estimated Project First Working Day Date],[Opportunity].[Opportunity
Hierarchy].[Opportunity].[Opportunity Estimated Project Last Working Day Date],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Estimated Project Start Date],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Latest News],[Opportunity].[Opportunity
Hierarchy].[Opportunity].[Opportunity Latest News Updated On Date Time],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Lost Competitor],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Originating Lead Name],[Opportunity].[Opportunity
Hierarchy].[Opportunity].[Opportunity Owning Organisation],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Revenue Spread],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Sales Assist],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity
Sales Assist-Hidden],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Sales Stage],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Sales Stage Updated On Date Time],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity
Source Full Name],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity State],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Sub Source],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Updated On Date Time],[Opportunity].[Opportunity
Hierarchy].[Opportunity].[Opportunity Won Lost Description],[Opportunity].[Opportunity Hierarchy].[Opportunity].[Opportunity Won Lost Reason] ON ROWS FROM (SELECT ({[Opportunity].[Opportunity Hierarchy].[Opportunity].&[{B69F83EB-832D-E211-9861-00155D032A00}],
[Opportunity].[Opportunity Hierarchy].[Opportunity].&[{60036FE8-DC48-E111-975F-00155D032A00}], [Opportunity].[Opportunity Hierarchy].[Opportunity].&[{3A2BB124-EE85-E011-8A06-00155D032A00}], [Opportunity].[Opportunity Hierarchy].[Opportunity].&[{E2E48CB7-8463-E411-831D-00155D035708}],
[Opportunity].[Opportunity Hierarchy].[Opportunity].&[{140D9883-6F49-E011-AEA0-00155D032A00}]}) ON COLUMNS FROM [IMGROUP]) CELL PROPERTIES VALUE, FORMAT_STRING, LANGUAGE, BACK_COLOR, FORE_COLOR, FONT_FLAGS
Any help?
sayan maity -
Implementing Pivot Table like functionality using SQL
Dear All,
Please access a online document:
http://docs.google.com/View?docid=dhntd3vh_0gmwgmq
A 'query-output' is given.
I have pasted this output in Excel and using it's Pivot table feature
obtained an output given as 'Expected-Output' in the document.
How can I achieve this using SQL?
Any guidelines are most welcome.
-SameerSee if this implementation could satisfy your needings.
CREATE THE A TABLE WITH ESSENTIAL INFORMATION
CREATE TABLE THINGS (
WHO VARCHAR2(32) NOT NULL,
WHAT VARCHAR2(32) NOT NULL,
NUM NUMBER
FILLING THE ESSENTIAL INFORMATION
INSERT INTO THINGS VALUES ('AFAS','TRANSACTION',4);
INSERT INTO THINGS VALUES ('FAS-AP','TRANSACTION',2);
INSERT INTO THINGS VALUES ('FAS-AR','TRANSACTION',2);
INSERT INTO THINGS VALUES ('FAS-GL','MASTER',3);
INSERT INTO THINGS VALUES ('FAS-GL','REPORT',5);
INSERT INTO THINGS VALUES ('INTERNATIONAL CARGO','MASTER',1);
INSERT INTO THINGS VALUES ('INTERNATIONAL CARGO','REPORT',2);
INSERT INTO THINGS VALUES ('INTERNATIONAL CARGO','TRANSACTION',9);
INSERT INTO THINGS VALUES ('PACKAGE EXPRESS','INTELLIVIEW REPORT',1);
INSERT INTO THINGS VALUES ('PACKAGE EXPRESS','MASTER',4);
INSERT INTO THINGS VALUES ('PACKAGE EXPRESS','TRANSACTION',76);
INSERT INTO THINGS VALUES ('PACKAGE EXPRESS','UTILITIES',1);
INSERT INTO THINGS VALUES ('WAREHOUSE','REPORT',1);
INSERT INTO THINGS VALUES ('WAREHOUSE','TRANSACTION',9);
CREATE A TABLE FOR THE FULL CORRISPONDENCE
CREATE TABLE THINGS2 AS
SELECT A.WHO,B.WHAT, 0 NUM
FROM (
SELECT DISTINCT WHO
FROM THINGS
) A, (
SELECT DISTINCT WHAT
FROM THINGS
)B;
SET THE RIGHT VALUES ON EACH ROW
UPDATE THINGS2 A
SET NUM = (
SELECT NVL(SUM(NUM),0)
FROM THINGS B
WHERE ( A.WHO = B.WHO )
AND ( A.WHAT = B.WHAT )
SHOW THE FULL TABLE ( FULL BECAUSE IT CONTAINS THE FULL JOIN BETWEEN "WHO" AND "WHAT" )
SELECT *
FROM THINGS2
RETRIVE THE EXPECTED OUTPUT
SELECT A.WHO,"TRANSACTION","MASTER","INTELLIVIEW REPORT","UTILITIES"
FROM (
SELECT WHO,NUM "TRANSACTION"
FROM THINGS2
WHERE WHAT = 'TRANSACTION'
) A,(
SELECT WHO,NUM "MASTER"
FROM THINGS2
WHERE WHAT = 'MASTER'
) B,(
SELECT WHO,NUM "REPORT"
FROM THINGS2
WHERE WHAT = 'REPORT'
) C,(
SELECT WHO,NUM "INTELLIVIEW REPORT"
FROM THINGS2
WHERE WHAT = 'INTELLIVIEW REPORT'
) D,(
SELECT WHO,NUM "UTILITIES"
FROM THINGS2
WHERE WHAT = 'UTILITIES'
) E
WHERE ( A.WHO = B.WHO )
AND ( A.WHO = C.WHO )
AND ( A.WHO = D.WHO )
AND ( A.WHO = E.WHO );
Ps.
Could anybody tell me how is it possible to indent text on the board of this forum?
Bye Alessandro -
Can any one tell how to create pivot table
Hi ,
Am trying to create a pivot tabel in the MDM Import Manager. Iam able to see the preview of the pivot table which i want to create. But when i try to click "OK" button, an error message getting displayed like...
"The new table cannot be created because the data source is not updatable.You may need the data source to an updatable format such as Microsoft Access before proceeding".
Due to the above error am not able to create pivot table, plz let me know if any one know how to solve this problem
Thanks & regards
Praveen kHi Praveen ,
The solution to your problem is -
The data source must be updateable in order for MDM to
create the new pivot or reverse pivot table. However, you can still
perform the steps leading up to table creation including the preview
even on a data source that is not updateable, so that you can explore
pivoting or reverse pivoting as a transformation option. If you then
decide you want to actually create the new table, convert the data
source into a format that is updateable (such as Microsoft Access) and
perform the pivot or reverse pivot on the new data source.
To create a pivot table, you must identify the source fields that
participate in the pivot, which ones contain metadata and which ones
contain data, which ones must be combined, the one-to-one
correspondence between metadata and data fields and/or field
combinations, and the key field or fields.
To create a pivot table:
1. In the drop-down list of source tables, make sure the table you want to
pivot is the current source table.
2. In the Source Hierarchy tree, select all the field nodes corresponding to
both the metadata fields and the data fields by which you want to pivot.
3. Right-click on one of the nodes and choose Create Pivot Table from the
context menu, or choose Source > Create Pivot Table from the main
menu
4. MDM opens the Create Pivot Table dialog
5. In the Key Fields dual-list drop-down control, move one or more fields
from the Available Fields list to the Selected Fields list to identify the
key fields on which to perform the pivot
6. In the dual-list control of fields, drag-and-drop the data fields from the
Field Values Become Field Names list to the Field Values Become
Field Values list
7. If necessary, select two or more fields in either list that must be
combined into a field combination, and click on the Combine button, or
right-click on one of the fields and choose Combine from the context
menu
8. If necessary, drag-and-drop fields or field combinations within each list
to create the one-to-one correspondence between metadata fields and
data fields.
9. Click on the Preview button to display a preview of the first ten records
of the pivot table
10. When you have verified that the pivot operation you have defined will
have the desired effect, click OK to close the Create Pivot Table dialog.
11. The MDM Import Manager creates a new table named table <Pivot>
in the data source (where table is the name of the original source
table).
12. In the drop-down list of source tables, select the newly created pivot
table on which to perform subsequent import processing.
Hope that helps ...
Regards
Deepak Singh -
How to update ADF VO object to refresh the data in ADF Pivot table
I need to know how to update the View object so that the date in pivot table is refreshed/updated/filtered.
here are the steps I performed to create ADF pivot table application using VO at design time.
1) created a collection in a Data Control (ViewObject in an ApplicationModule) that provides the values I wanted to use for row and column labels as well the cell values (Used the SQL query)
2) Dragged this collection to the page in which wanted to create the pivot table
3) In the pivot table data binding editor specified the characteristics of the rows (which attribute(s) should be displayed in header), the columns (likewise) and the cells.
Now, I have a requirement to update/filter the data in pivot table on click of check box and my question is how to I update the View object so that the date in pivot table is refreshed/updated/filtered.
I have got this solution from one of the contact in which a WHERE clause on an underlying VO is updated based upon input from a Slider control. In essence, the value of the control is sent to a backing bean, and then the backing bean uses this input to call the "filterVO" method on the corresponding AppModule:
but, I'm getting "operationBinding" object as NULL in following code. Please let me know what's wrong.
here is the code
Our slider component will look like
<af:selectBooleanCheckbox label="Unit" value="#{PivotTableBean.dataValue}"
autoSubmit="true" />
The setDataValue() method in the backing bean will get a handle to AM and will execute the "filterVO" method in that, which takes the NumberRange as the input parameter.
public void setDataValue(boolean value) {
DataValue = value;
BindingContainer bindings = getBindings();
OperationBinding operationBinding = (OperationBinding)bindings.getOperationBinding("filterVO");
Object result = operationBinding.execute();
The filterVO method in the AMImpl.java will get the true or false and set the where Clause for the VO query to show values.
public void filterVO(boolean value) {
if (value != null) {
ViewObjectImpl ibVO = getVO1();
ibVO.setWhereClause("PRODUCT_TOTAL_REVENUE(+) where rownum < 10");
ibVO.executeQuery();
}Did you define a filterVO action in your pagedef.xml file?
You might want to read on how to access service method from a JSF Web Application in the ADF Developer Guide for 10.1.3 chapter 8.5 -
Hi,
I have created a Pivot Table report (I use them all the time in Excel) as one of my rows...I am using a field that is a formula. When I look at the pivot table results there is a sum by this "row category"...all total 1726 items (correct # of total items' but the sum by each of the 4 items is wrong...when I drill (I can only drill from a higher level)...I get the detail of the 1726 items correctly...but if I do a pivot in Excel off the detail I get a different number in the 4 categories (actually the correct summary data)....HOW do I fix this...we really want to use the power of the report...but with such a large error it is difficult to trust the results of the report.
Report
Source Type MAG Created Year Parent Account Target Market # of Accounts
Marketing 2004 Unspecified Key Account 2,521
Quanta Services Inc Key Account 1
2005 Unspecified Key Account 388
Vipar Heavy Duty Key Account 29
2006 Unspecified Key Account 824
2007 Unspecified Key Account 838
Domino's Pizza Key Account 9
2008 Unspecified Key Account 582
Marketing 5,192
Grand Total 5,192
When you drill down...for instance...the data for 2007 Unspecified is 358 NOT 838....
Please assist!!! ASAPIt is very difficult to troubleshoot a report without seeing it, but it looks to me like you have a problem with your aggregation rules... each column has an aggregation rule, and a pivot table measure can also have an aggregation rule... sometimes, depending on the formula and columns that make up your formula, the aggregation rules can cause seemingly incorrect totals because the data is aggregated on the table and then re-aggregated on the pivot table.
If you would like, you may email me directly and I will see if I can help further.
My email is in my profile.
Mike L -
Excel Pivot Table with Date Hierarchies - query performance degradation
For the sake of this explanation, I’m going to try and keep it simple. Slicing the data by additional dimensions only makes the issue worse. I’ll keep this description to one fact table and three dimensions. Also, I’m fairly new to SSAS Tabular; I’ve worked
with SSAS Multidimensional in the past.
We’ve got a fact table that keeps track of bill pay payments made over time. Currently, we only have about six months of data, with the fact row count at just under 900,000 rows. The grain is daily.
There is an Account dimension (approx. 460,000 rows), with details about the individual making a payment.
There is a Payment Category dimension (approx.. 35,000 rows), which essentially groups various Payees into groups which we like to report on: Automobile Loan, Mortgage, Insurance, etc.
There is the requisite Date dimension (exactly 62093 rows-more days than we need?), which allows visibility as to what is being paid when.
Using this DW model, I’ve created a SSAS BISM Tabular model, from which Excel 2010 is ultimately used to perform some analysis, using Pivot Tables. In the tabular model, for easier navigation (doing what I’ve always done in SSAS MultiDimensional), I’ve created
several Date Hierarchies, Year-Month, Year-Quarter-Month, etc.
There are currently only two measures defined in the Tabular model: one for the “Sum of PaymentAmount”; one for the “PaymentsProcessed”.
OK, in Excel 2010, using a Pivot Table, drag the “Sum of PaymentAmount” measure to the Values section, next to/under the PivotTable Field List. Not too exciting, just the grand total of all Payments, for all time.
Drag the “YearMonth” hierarchy (from the Date dimension) to the “Column Labels” section. After expanding the year hierarchy to see the months, now the totals are for each of the months, for which we have data, for June through November, 2013.
Drag the “PaymentCategory” (from the Payment Categories dimension) to the “Report Filter” section. Filter accordingly: We just want to see the monthly totals for “Automobile Loans”.
Now, some details. Drag the “AccountSK” (hiding the actual account numbers) to the “Row Labels” section. This shows all accounts that have made Automobile Loan payments over the last six months, showing the actual payment amounts.
So far, so good. Remember, I’m using a Date Hierarchy here, in this case “YearMonth”
Now, if any of the other attributes on the Account dimension table, say “CreditScore”, or “LongName”, are subsequently dragged over to the “Row Lables” section, under the “AccountSK”, the results will never come back, before timing out or by giving up and
pressing ESCape!
If this exact scenario is done by removing the Date Hierarchy, “YearMonth” from the “Column Labels” and replace it with “Year” and “MonthName” attributes from the Date dimension, these fields not being in any sort of hierarchy, adding an additional “Account”
attribute does not cause any substantial delay.
What I’m trying to find out is why is this happening? Is there anything I can do as a work around, other than what I’ve done by not using a Date Hierarchy? Is this a known issue with DAX and the query conversion to MDX? Something else?
I’ve done a SQL Profiler trace, but I’m not sure at this point what it all means. In the MDX query there is a CrossJoin involved. There are also numerous VertiPaq Scans which seems to be going through each and every AccountSK in the Account dimension, not
just the ones filtered, to get an additional attribute (About 3,600 accounts which are “Automobile Loan” payments.).
Any thoughts?
Thanks! Happy Holidays!
AAOThanks for your reply Marco. I've been reading your book, too, getting into Tabular.
I've set up the Excel Pivot Table using either the Year/MonthName levels, or the YearMonth hierarchy and then adding the additional attribute for the CreditScore.
Incidentally, when using the YearMonth hierarchy and adding the CreditScore, all is well, if the Year has not been "opened". When this is done, I suspect the same thing is going on.
From SQL Profiler, each of the individual MDX queries below (formatted a bit for readability).
Thanks!
// MDX query using separate Year and MonthName levels, NO hierarchy.
SELECT
NON EMPTY
Hierarchize(
DrilldownMember(
CrossJoin(
{[Date].[Year].[All],[Date].[Year].[Year].AllMembers},
{([Date].[MonthName].[All])}
,[Date].[Year].[Year].AllMembers, [Date].[MonthName]
DIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME
ON COLUMNS,
NON EMPTY
Hierarchize(
DrilldownMember(
CrossJoin(
{[Accounts].[AccountSK].[All],[Accounts].[AccountSK].[AccountSK].AllMembers},
{([Accounts].[CreditScore].[All])}
,[Accounts].[AccountSK].[AccountSK].AllMembers, [Accounts].[CreditScore]
DIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME
ON ROWS
FROM [PscuPrototype]
WHERE ([PaymentCategories].[PaymentCategory].&[Automobile Loan],[Measures].[Sum of PaymentAmount])
CELL PROPERTIES VALUE, FORMAT_STRING, LANGUAGE, BACK_COLOR, FORE_COLOR, FONT_FLAGS
// MDX query using separate YearMonth hierarchy (Year, MonthName).
SELECT
NON EMPTY
Hierarchize(
DrilldownMember(
{{DrilldownLevel({[Date].[YearMonth].[All]},,,INCLUDE_CALC_MEMBERS)}},
{[Date].[YearMonth].[Year].&[2013]},,,INCLUDE_CALC_MEMBERS
DIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME
ON COLUMNS,
NON EMPTY
Hierarchize(
DrilldownMember(
CrossJoin(
{[Accounts].[AccountSK].[All],[Accounts].[AccountSK].[AccountSK].AllMembers},
{([Accounts].[CreditScore].[All])}
,[Accounts].[AccountSK].[AccountSK].AllMembers, [Accounts].[CreditScore]
DIMENSION PROPERTIES PARENT_UNIQUE_NAME,HIERARCHY_UNIQUE_NAME
ON ROWS
FROM [PscuPrototype]
WHERE ([PaymentCategories].[PaymentCategory].&[Automobile Loan],[Measures].[Sum of PaymentAmount])
CELL PROPERTIES VALUE, FORMAT_STRING, LANGUAGE, BACK_COLOR, FORE_COLOR, FONT_FLAGS
AAO -
Customizing Pivot Table format in answers
Hi,
I have some questions about formats of a Pivot Table.
1) I want to change the position of row headings in Pivot Table view, show them on the right side of the table. Is there any way to do that? The reason is to show "results" column (sum on the columns in results tab) only for one part of the table, like | data | results | data |, combining two reports with the same rows edge to edge. Maybe it's a bad idea, but I don't know better way...
2) In the report we make links on values in the table grid to another report (detailed). But while exporting to Excel they became not numbers (and not summable), because it adds a space after a number. Overriding the default format by "number format" is not helpful. Can I control format while exporting?I'd make sure the default compound view has only the objects you want to show (ie pivot, title), Remove the table and your all set. That should do it.
-
How to display the column into the narrative or section from pivot table
I have a report. I have the basic number displayed in the pivot table, but missing one column and I need move one column to the top. The column missing (% of tested) should be calculated by column c /column F's last number, ie, F7=48. My desired column would be H3=c3/F48 9/48, H4=c4/F488/48.... But I could not get the number 48 into my formula, because it is the running total of the all column E. These data is in Pivot table.
I also need display No of Students 74 in the top of the report. I am not able to get this number from pivot table. It is count distinct on student key from the repository.
I appreciate any help.
A B C D E F G
2 # of Questions Average # Correct % Correct Running total no. of test items No of students
3 PATTERNS, FUNCTIONS, AND ALGEBRA 9 4.68 51.95 9 74
4 PROBABILITY AND STATISTICS 8 3.97 49.66 17 74
5 MEASUREMENT AND GEOMETRY 11 6.11 55.53 28 74
6 NUMBER AND NUMBER SENSE 8 4.16 52.03 36 74
7 COMPUTATION AND ESTIMATION 12 8.2 68.36 48 74
Edited by: user7315022 on Feb 3, 2010 2:28 PMI wish it was this easy. I must not explain it right. All the score from each student and each question for each subject and each test is stored in database. The number of question for the subject is the max of the questions for each subject. Basically, it needs 'parittion by'... But in the OBIEE, it would not let me add any 'partition by' in the column formula. Is this true? ie, can you use partition by in the column formula? Here are the query from trace file.
RqList
TEST_YEAR_SEASONS.TEST_SEASON_NAME as c1 GB,
REPORTING_SCHOOL_YEARS.SCHOOL_YEAR as c2 GB,
MAX_TEST_SCORE:[DAggr(STUDENT_TEST_SCORES.MAX_TEST_SCORE by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, STUDENT_TEST_SCORES.STDNT_STNDRD_TEST_KEY, STUDENT_TEST_SCORES.STUDENTS_KEY, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, TEST_SCORE_TYPES.TEST_SCORE_TYPE_NAME, SCHOOLS.SCHOOL_NAME, STUDENT_TEST_SCORES.TEST_SCORE_NUMBER] )] as c3 GB,
STUDENT_TEST_SCORES.TEST_SCORE_NUMBER as c4 GB,
DIVISION_TOTAL_TESTS:[DAggr(STUDENT_TEST_SCORES.DIVISION_TOTAL_TESTS by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, STUDENT_TEST_SCORES.STDNT_STNDRD_TEST_KEY, STUDENT_TEST_SCORES.STUDENTS_KEY, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, TEST_SCORE_TYPES.TEST_SCORE_TYPE_NAME, SCHOOLS.SCHOOL_NAME, STUDENT_TEST_SCORES.TEST_SCORE_NUMBER] )] as c5 GB,
RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME as c6 GB,
RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME as c7 GB,
TEST_SCORE_TYPES.TEST_SCORE_TYPE_NAME as c8 GB,
SCHOOLS.SCHOOL_NAME as c9 GB,
SUM_TEST_SCORE:[DAggr(STUDENT_TEST_SCORES.SUM_TEST_SCORE by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, STUDENT_TEST_SCORES.STDNT_STNDRD_TEST_KEY, STUDENT_TEST_SCORES.STUDENTS_KEY, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, TEST_SCORE_TYPES.TEST_SCORE_TYPE_NAME, SCHOOLS.SCHOOL_NAME, STUDENT_TEST_SCORES.TEST_SCORE_NUMBER] )] as c10 GB,
SUM_TEST_SCORE:[DAggr(STUDENT_TEST_SCORES.SUM_TEST_SCORE by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, STUDENT_TEST_SCORES.STDNT_STNDRD_TEST_KEY, STUDENT_TEST_SCORES.STUDENTS_KEY, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, TEST_SCORE_TYPES.TEST_SCORE_TYPE_NAME, SCHOOLS.SCHOOL_NAME, STUDENT_TEST_SCORES.TEST_SCORE_NUMBER] )] / nullif( COUNT_TEST_SCORE:[DAggr(STUDENT_TEST_SCORES.COUNT_TEST_SCORE by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, STUDENT_TEST_SCORES.STDNT_STNDRD_TEST_KEY, STUDENT_TEST_SCORES.STUDENTS_KEY, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, TEST_SCORE_TYPES.TEST_SCORE_TYPE_NAME, SCHOOLS.SCHOOL_NAME, STUDENT_TEST_SCORES.TEST_SCORE_NUMBER] )] , 0) as c11 GB,
MAX_TEST_SCORE:[DAggr(STUDENT_TEST_SCORES.MAX_TEST_SCORE by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, STUDENT_TEST_SCORES.STDNT_STNDRD_TEST_KEY, STUDENT_TEST_SCORES.STUDENTS_KEY, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, TEST_SCORE_TYPES.TEST_SCORE_TYPE_NAME, SCHOOLS.SCHOOL_NAME, STUDENT_TEST_SCORES.TEST_SCORE_NUMBER] )] as c12 GB,
(SUM_TEST_SCORE:[DAggr(STUDENT_TEST_SCORES.SUM_TEST_SCORE by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, STUDENT_TEST_SCORES.STDNT_STNDRD_TEST_KEY, STUDENT_TEST_SCORES.STUDENTS_KEY, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, TEST_SCORE_TYPES.TEST_SCORE_TYPE_NAME, SCHOOLS.SCHOOL_NAME, STUDENT_TEST_SCORES.TEST_SCORE_NUMBER] )] / nullif( COUNT_TEST_SCORE:[DAggr(STUDENT_TEST_SCORES.COUNT_TEST_SCORE by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, STUDENT_TEST_SCORES.STDNT_STNDRD_TEST_KEY, STUDENT_TEST_SCORES.STUDENTS_KEY, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, TEST_SCORE_TYPES.TEST_SCORE_TYPE_NAME, SCHOOLS.SCHOOL_NAME, STUDENT_TEST_SCORES.TEST_SCORE_NUMBER] )] , 0)) / nullif( MAX_TEST_SCORE:[DAggr(STUDENT_TEST_SCORES.MAX_TEST_SCORE by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, STUDENT_TEST_SCORES.STDNT_STNDRD_TEST_KEY, STUDENT_TEST_SCORES.STUDENTS_KEY, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, TEST_SCORE_TYPES.TEST_SCORE_TYPE_NAME, SCHOOLS.SCHOOL_NAME, STUDENT_TEST_SCORES.TEST_SCORE_NUMBER] )] , 0) * 100 as c13 GB,
STUDENT_TEST_SCORES.STDNT_STNDRD_TEST_KEY as c14 GB,
STUDENT_TEST_SCORES.STUDENTS_KEY as c15 GB,
max(SUM_TEST_SCORE:[DAggr(STUDENT_TEST_SCORES.SUM_TEST_SCORE by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, SCHOOLS.SCHOOL_NAME] )] by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, SCHOOLS.SCHOOL_NAME] at_distinct [ ] ) / nullif( max(COUNT_TEST_SCORE:[DAggr(STUDENT_TEST_SCORES.COUNT_TEST_SCORE by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, SCHOOLS.SCHOOL_NAME] )] by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, SCHOOLS.SCHOOL_NAME] at_distinct [ ] ) , 0) as c16 GB,
(max(SUM_TEST_SCORE:[DAggr(STUDENT_TEST_SCORES.SUM_TEST_SCORE by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, SCHOOLS.SCHOOL_NAME] )] by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, SCHOOLS.SCHOOL_NAME] at_distinct [ ] ) / nullif( max(COUNT_TEST_SCORE:[DAggr(STUDENT_TEST_SCORES.COUNT_TEST_SCORE by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, SCHOOLS.SCHOOL_NAME] )] by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, SCHOOLS.SCHOOL_NAME] at_distinct [ ] ) , 0)) / nullif( max(MAX_TEST_SCORE:[DAggr(STUDENT_TEST_SCORES.MAX_TEST_SCORE by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, SCHOOLS.SCHOOL_NAME] )] by [ REPORTING_SCHOOL_YEARS.SCHOOL_YEAR, TEST_YEAR_SEASONS.TEST_SEASON_NAME, RPT_TEST_DEFINITIONS.TEST_SUBJECT_NAME, RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME, SCHOOLS.SCHOOL_NAME] at_distinct [ ] ) , 0) * 100 as c17 GB
DetailFilter: RPT_TEST_DEFINITIONS.TEST_LEVEL_NAME = 'GRADE 5' and SCHOOLS.SCHOOL_NAME = 'GLASGOW MIDDLE' and TEST_SCORE_TYPES.TEST_SCORE_TYPE_NAME = 'RAW SCORE' and TEST_YEAR_SEASONS.TEST_SEASON_NAME = 'SPRING' and REPORTING_SCHOOL_YEARS.SCHOOL_YEAR = '200102' and TESTS.TEST_ID = 'SOL' and TEST_DEFINITIONS.PARENT_TEST_SUBJECT_NAME = 'MATHEMATICS' and STUDENT_TEST_SCORES.TEST_SCORE_NUMBER < 900
OrderBy: c1 asc, c2 asc, c4 asc, c6 asc, c7 asc, c8 asc, c9 asc, c14 asc, c15 asc
+++azadams:320000:32001b:----2010/02/03 16:48:36
-------------------- Sending query to database named tacdev (id: <<51109>>):
select distinct D1.c5 as c1,
D1.c4 as c2,
D1.c9 as c3,
D1.c14 as c4,
D1.c12 as c5,
D1.c6 as c6,
D1.c7 as c7,
D1.c15 as c8,
D1.c8 as c9,
D1.c11 as c10,
D1.c11 / decode(D1.c10 , 0 , to_number(null), D1.c10) as c11,
D1.c9 as c12,
(D1.c11 / decode(D1.c10 , 0 , to_number(null), D1.c10)) / decode(D1.c9 , 0 , to_number(null), D1.c9) * 100 as c13,
D1.c13 as c14,
D1.c16 as c15,
D1.c3 / decode(D1.c2 , 0 , to_number(null), D1.c2) as c16,
(D1.c3 / decode(D1.c2 , 0 , to_number(null), D1.c2)) / decode(D1.c1 , 0 , to_number(null), D1.c1) * 100 as c17
from
(select max(D1.c1) over (partition by D1.c4, D1.c5, D1.c6, D1.c7, D1.c8) as c1,
sum(D1.c2) over (partition by D1.c4, D1.c5, D1.c6, D1.c7, D1.c8) as c2,
sum(D1.c3) over (partition by D1.c4, D1.c5, D1.c6, D1.c7, D1.c8) as c3,
D1.c4 as c4,
D1.c5 as c5,
D1.c6 as c6,
D1.c7 as c7,
D1.c8 as c8,
max(D1.c1) over (partition by D1.c4, D1.c16, D1.c5, D1.c13, D1.c6, D1.c7, D1.c15, D1.c8) as c9,
sum(D1.c2) over (partition by D1.c4, D1.c16, D1.c5, D1.c13, D1.c6, D1.c7, D1.c15, D1.c8) as c10,
sum(D1.c3) over (partition by D1.c4, D1.c16, D1.c5, D1.c13, D1.c6, D1.c7, D1.c15, D1.c8) as c11,
sum(D1.c12) over (partition by D1.c4, D1.c16, D1.c5, D1.c13, D1.c6, D1.c7, D1.c15, D1.c8) as c12,
D1.c13 as c13,
D1.c14 as c14,
D1.c15 as c15,
D1.c16 as c16
from
(select max(T56699.TEST_SCORE_NUMBER) as c1,
count(T56699.TEST_SCORE_NUMBER) as c2,
sum(T56699.TEST_SCORE_NUMBER) as c3,
T33435.SCHOOL_YEAR as c4,
T34232.TEST_SEASON_NAME as c5,
T52429.TEST_SUBJECT_NAME as c6,
T52429.TEST_LEVEL_NAME as c7,
T59709.SCHOOL_NAME as c8,
count(T36922.STDNT_STNDRD_TEST_KEY) as c12,
T36922.STDNT_STNDRD_TEST_KEY as c13,
T56699.TEST_SCORE_NUMBER as c14,
T56693.TEST_SCORE_TYPE_NAME as c15,
T36922.STUDENTS_KEY as c16
from
SCHOOLS T59709,
TEST_DEFINITIONS T58733,
TEST_SCORE_TYPES T56693,
RPT_TEST_DEFINITIONS T52429,
TEST_YEAR_SEASONS T34232,
REPORTING_SCHOOL_YEARS T33435,
TESTS T34149,
DETAIL_TEST_SCORES T33341,
STUDENT_STANDARD_TEST T36922,
TEST_SCORES T56699
where ( T33341.TEST_SCORE_TYPES_KEY = T56693.TEST_SCORE_TYPES_KEY and T36922.ADMIN_SCHOOLS_KEY = T59709.SCHOOLS_KEY and T34232.TEST_YEAR_SEASONS_KEY = T36922.TEST_YEAR_SEASONS_KEY and T33435.REPORTING_SCHOOL_YEARS_KEY = T36922.REPORTING_SCHOOL_YEARS_KEY and T34149.TESTS_KEY = T36922.TESTS_KEY and T36922.TEST_DEFINITIONS_KEY = T58733.TEST_DEFINITIONS_KEY and T33341.STDNT_STNDRD_TEST_KEY = T36922.STDNT_STNDRD_TEST_KEY and T33341.TEST_SCORES_KEY = T56699.TEST_SCORES_KEY and T33435.SCHOOL_YEAR = '200102' and T34149.TEST_ID = 'SOL' and T34232.TEST_SEASON_NAME = 'SPRING' and T36922.RPT_TEST_DEFINITIONS_KEY = T52429.RPT_TEST_DEFINITIONS_KEY and T52429.TEST_LEVEL_NAME = 'GRADE 5' and T56693.TEST_SCORE_TYPE_NAME = 'RAW SCORE' and T58733.PARENT_TEST_SUBJECT_NAME = 'MATHEMATICS' and T59709.SCHOOL_NAME = 'GLASGOW MIDDLE' and T56699.TEST_SCORE_NUMBER < 900 )
group by T33435.SCHOOL_YEAR, T34232.TEST_SEASON_NAME, T36922.STDNT_STNDRD_TEST_KEY, T36922.STUDENTS_KEY, T52429.TEST_SUBJECT_NAME, T52429.TEST_LEVEL_NAME, T56693.TEST_SCORE_TYPE_NAME, T56699.TEST_SCORE_NUMBER, T59709.SCHOOL_NAME
) D1
) D1
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