Pivot table named sets

Hi,
I'm not sure if its a proper forum for my question but owing to the fact that the data I use come from PowerPivot I decided to post it here.
I've been trying to use a named set feature to set columns for my data so it'd show: budget, actual, diff. In order to achieve this I've put accounts item to row fields, company, fiscal year and month in the report filter fields and a measure item
(has two values: budget or actual) in the column field - twice. I've set the second one to display as difference (base field: measure, base item: budget). The table looked just fine but wanted to get rid of the empty column next to budget column. I thought
I could use named sets for this. To do this I selected Create set based on column items and in the New set window I removed the second measurement for budget. After accepting the changes the table looked just as I wanted (budget, actual, diff in columns).
Unfortunately, when I wanted to change the company in the report filter a message appeared saying that "the current session is not valid any longer due to structural changes in the data base" (translation from Polish to English). Refreshing the table
causes all values to disappear. Am I doing something wrong here?
My PowerPivot add-in version is 11.0.2100.60 and Excel 14.0.6112.5000.
Kind regards
-- Igor M.

Did you ever manage to resolve this?

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Pivot Table, "Insert Page Break After Each Item" Setting Only Works for the First Item Change

I have a flattened pivot table generated from Powerpivot and I would like to insert a page break for each change in the row item.
When I use the pivot table Field Settings>Insert Page Break After Each Item, Excel inserts the first page break then returns to normal pagination for the rest of the output.
Is there another setting required to maintain the page breaks after the item change?
Thanks.

We are experiencing the same problem. Did you ever find a solution?

Preserving Named Tables as Pivot Table data sources after copying to new workbook (Excel 2010)

Have 2010 Excel Workbook with Named Tables and child Pivot Tables and several other support sheets. I want to make a 'working' file -- with only copies of these Named Tables and Pivot Table
structures, and then I would populate the copied Tables with the 'real data' and crunch the numbers I need in this new working file.
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Hi Jon,
How do you change the data source?
Base on my test, we can change the data source by using this code below:
ActiveSheet.PivotTables("PivotTable1").ChangePivotCache ActiveWorkbook. _
PivotCaches.Create(SourceType:=xlDatabase, SourceData:= _
"[path]!Table4" _
, Version:=xlPivotTableVersion15)
To copy and paste the Named Table and Pivot Tables, we could use
Range.Copy and
Range.PasteSpecial method.
To check whether the Pivot Tables parent is specify Named Table, we could check
PivotTable.SourceData property.
Regards
Starain
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Implicit Aggregate in pivot table ?

I am using Excel to query an OLAP SSAS cube. Without any filter, the pivot table I have is:
Values
SCM Lines Count
94741
OTR_Net
87.28%
OTD_Net
95.00%
I need to consolidate these metrics on the first complete months of the year. So I create a named set. The corresponding code in the MDX query that Excel generates is:
SET [YTD] as VisualTotals({[Delivery Date].[Period Hiearchy].[All],YTD(StrToMember("[Delivery Date].[Period Hiearchy].[Month].&"+
FORMAT(Now(),"[yyyyMM01]")+ ".PrevMember"))})
When I drag and drop this set to the columns area of the pivot table, I get this:
Values
2014-01
2014-02
Grand Total
SCM Lines Count
3715
3608
7323
OTR_Net
81.77%
84.77%
83.24%
OTD_Net
91.66%
94.33%
92.97%
So far so good, but I would like to remove the months and only keep the Grand Total. But you cannot move a set to the page filter area, so I tried the following workaround with the add-in "OLAP Pivot table extensions": I remove the set from the
columns area (the result changes back to the first table above), and add a calculated metric:
[Measures].[YTDCount] AS Aggregate([YTD],[Measures].[SCM Lines Count])
And - surprise -, I get the result below: The other metrics are also filtered on the [YTD] set, even though it is not explicitly set as a filter in the pivot table.
Values
SCM Lines Count
7323
OTR_Net
83.24%
OTD_Net
92.97%
YTDCount
14646
The final MDX query is:
WITH
SET [YTD] as VisualTotals({[Delivery Date].[Period Hiearchy].[All],YTD(StrToMember("[Delivery Date].[Period Hiearchy].[Month].&"+
FORMAT(Now(),"[yyyyMM01]")+ ".PrevMember"))})
MEMBER [Measures].[YTDCount] as AGGREGATE([YTD],[Measures].[SCM Lines Count])
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Even if I unselect my custom metric YTDCount (which gives twice the correct result btw), the result for the other metrics remains unchanged. The final pivot table is indeed what I wanted, but I do not want to use what seems a dirty hidden trick.
Can anyone explain why the custom metrics also impacts other measures ?
Would anyone have a proposal for a set definition that would generates either only one column or a hierarchy where I could hide the month level. ?
<object height="1" id="plugin0" style=";z-index:1000;" type="application/x-dgnria" width="1"><param name="tabId" value="{D6D21951-03EF-4DE5-AA00-FEF24C66552F}" /></object>

I finally found the answer: create a calculated member instead of a Named set. I had not realized that it could also be done with the add-in.
In the pivot table, I have dragged the Delivery date dimension to the page filter area. I can then select the member "YTD", and get exactly what I wanted.

Dynamic data source in Excel Pivot Table

Hello there,
I am trying to have dynamic data source in pivot table using INDIRECT but getting the error "Reference not valid". Here is how I setup the reference:
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"Source_OpexConsol" is defined in the source file as a dynamic name using offset formula.
In the pivot data source, I have tried "=INDIRECT(ConsolLink)" as the data source but that does not work.
I have also tried using INDIRECT in ConsolLink and just referencing "ConsolLink" as the data source. That does not work either.
I am not using Power Pivot. Appreciate it if someone can help.
Thanks.

If it is open, then try
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And if it is not currently open, then try
Dim W As Workbook
Set W = Workbooks.Open("R:\Root\Sub1\Sub2\Consol
File.xlsm")
Named range: ConsolLink =
Range("Consol File.xlsm'!Source_OpexConsol")
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Using Slicer to change row dimension in pivot table

I have a requirement to display a measure amount by Quarter,Month or Week of Year. The user needs to select one of three slicer buttons, Quarter, Month or Week. I have tried creating a calculated column in my tables, e.g PeriodToDisplay using
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The FactTableNames are where the aggregation sql have been done. The row labels now are:
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Week
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I receive an error message the Quarter is not in the proper context or is a circular reference.

The behavior you want can be achieved with a hierarchy built in the Power Pivot model, and then using Excel's drill down functionality on the pivot table.
Alternately, you could define an MDX named set for the pivot table to define the rowfilters.

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 k

Hi 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
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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
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menu
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5. In the Key Fields dual-list drop-down control, move one or more fields
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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
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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
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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
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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).
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table on which to perform subsequent import processing.
Hope that helps ...
Regards
Deepak Singh

Can I 'explain' data in a pivot table?

Hi All.
I have a request that has baffled me.
I need a way to use 'text' to describe the results of a report. If I were doing a simple report,
this would be a non-issue. Here are my hurdles:
I have a report that uses a Union via Set Operations (so I'm combining two result sets).
The results are then shown in a pivot table.
Within the pivot table, variances were created using 'New Calculated Item' under measures.
I want to be able to display in a narrative, or some other magical technique, the results of theses calculated items.
Data Example:
<pre>
Date1 Date2 Variance Variance%
Total Sales 10 20 10 50.00
Sales have increased 50% compared with last quarter. (<- desired result)
Today, I can show @1, @2 etc, but it only shows the columns under 'Date 1'.
Any help is greatly appreciated!!
Cindy

First, if you design a report correctly (e.g., accurate and descriptive headers, etc.), you greatly reduce the need for an "explanation of data." It should be intuitive. If it is confusing to understand, the design of the report should be looked at. (Is this report illustrating what the user needs to see? Should I use a graph instead of a table or vice-versa? Am I reporting on the right metrics?)
That being said, it may be helpful at times to have a narrative to give an overall view of what the report displays. For this, you have the Narrative View to explain whatever might make the report more useful to the end-user. For example, you may have them note certain conditions and what that would mean, etc. (Conditional formatting would be great for this, unless you are considering cross-column conditioning in which case conditional formatting doesn't work.*)
But if you are looking for row-by-row explanations where you use the data in the row as part of the "explanation" (as inferred by your inclusion of @1 and @2, etc. in your question), then I think you may be trying to please your end-users a bit too much. Perhaps I have misunderstood you, so I shall end here and wait for your response.
*Until 11g, that is. There are also workarounds...

How to update ADF VO object to refresh the data in ADF Pivot table

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here is the code
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public void setDataValue(boolean value) {
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BindingContainer bindings = getBindings();
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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();
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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

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!
AAO

Thanks 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

Unable to group with page breaks when creating pivot table in BIP

Hi,
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Thanks.

HI Bala,
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Duraga Prasad.

Trying to get Pivot table drop down list to affect bar chart below it

Hi,
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you may want to try this...
in you bar chart criteria, set prompted filters of all the dimension fields u want from the pivot table.
in the pivot table, set action links on these dimension columns and loop it back to the current dashboard page.
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-sharath

OBIEE 11g - How to create clean looking pivot tables

Hi, does anyone have a good way to clean up the appearance of pivot tables in OBIEE 11g? I'm a big fan of Stephen Few and firmly believe in the "minimize non-data ink" theory. Unfortunately, there seems to be a lot of stuff on OBIEE pivots that I can't easily clean up. Does anyone have ideas for:
1. How to remove the "gray" / "beige" coloring from column and row dimension? I opened a ticket with Oracle 6 months ago, and basically they've just responded that it is a "enhancement request" for a future version (aka not going to see it for a LONG time)
2. For my "across" dimension, I don't seem to have a good way to show the dimension name. There is an option under "column properties" to "display heading" - but when this is turned on it scrunches the heading up directly over the column that has the down dimension members. I really want this to go across the pivot.
Any help on this would be greatly appreciated.
Thanks!
Scott

Hi,
Steps,
Just create DSN (odbc connection for the excel data source) then try to import via rpd that time u must need to select "System Tables"
For more steps,
http://allaboutobiee.blogspot.com/2012/03/excel-as-data-source-in-obiee.html
http://oraclebi.blog.com/working-with-excel-datasource-in-obiee
http://www.ascentt.com/2012/01/importing-excel-file-into-obiee-11g
http://obiee101.blogspot.com/2008/06/obiee-excel-import-prepping-data.html
Note: user id and password u can set it u r own and need to be updated in your connection pool alos else u can go with empty user id and password
Thanks
Deva

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 PM

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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

Pivot table named sets

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