Aggregating Group Values Outside of group

Hi, is this possible?
Basically, I'm trying to show aggregates for a column, by group, on rows that are outside the scope of the group. I'm able to add the total for each group at the end of the group, but I want the totals for each groups at the end of the report instead.
thanks!
Leroy G. Brown

Hi g2beastie,
According to your description, the report is taking long time to render, right?
In Reporting Services, the total time to generate a report include TimeDataRetreval, TimeProcessing and TimeRendering. To analyze which section take much time, we can check the table Executionlog3 in the ReportServer database. For more information, Please
refer to this article:
More tips to improve performance of SSRS reports.
After check out which section costs most of time, then you can refer to this article to optimize your report:
Troubleshooting Reports: Report Performance.
If you have any question, please feel free to ask.
Best regards,
Qiuyun Yu
Qiuyun Yu
TechNet Community Support

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Exception aggregation - Last Value

Hi,
We are having requirement where we have a table in non R/3 system for SKU - Customer level closing stocks on particular day are maintained. We want to create a cube for the table in BI. This table contains entries for SKU + Customer for diff days. We want to show the closing stock of last(/latest) day for which Customer+ SKU record exists. To achieve this we have used Calculated Key figure on Closing stock with Exception Aggregation - Last value with ref to Calendar Day.
It woks fine only if I have Customer & SKU both used in query. But we have to show these stocks aggregated on Plant level. (Customer are linked to Plants and it is directly avbl in our cube). In this case aggregation does'nt work.
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Hello Vikram
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Assign points if any of the above helped

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Hi Sunny
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So the system will tell the user which are the allowed values. In your example the system suggests the range 1875-1880.
Hope this helps, regards
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Hi
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Well I have a table which will serve as my fact and dimension table
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3     C     1     9000
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5     E     2     8000
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) sum_sal
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Aggregated groups on a timeline

Hi
I need to sub aggregate and group data in a time sequence.
Example data is like follows, but many more records, and with fractions of datevalues.
TSZ_ENTRY________STORAGEID______MTRLID____CAMPAIGNID____WEIGHT_CORR
23-MAY-11 12.00.00.000000000 AM EUROPE/BERLIN     1     0     20     61.2397
24-MAY-11 12.00.00.000000000 AM EUROPE/BERLIN     1     0     20     61.3617
25-MAY-11 12.00.00.000000000 AM EUROPE/BERLIN     1     0     20     61.4837
26-MAY-11 12.00.00.000000000 AM EUROPE/BERLIN     4     0     20     61.6058
27-MAY-11 12.00.00.000000000 AM EUROPE/BERLIN     1     0     20     61.7277
28-MAY-11 12.00.00.000000000 AM EUROPE/BERLIN     1     0     20     61.8497
29-MAY-11 12.00.00.000000000 AM EUROPE/BERLIN     1     4     20     49.8715
30-MAY-11 12.00.00.000000000 AM EUROPE/BERLIN     1     0     20     62.2156
31-MAY-11 12.00.00.000000000 AM EUROPE/BERLIN     2     0     20     62.3377
01-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     2     4     20     62.4596
02-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     2     4     20     62.5816
03-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     2     4     20     62.7036
04-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     3     4     20     62.8256
05-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     1     4     20     62.9475
06-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     1     0     20     63.0696
07-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     1     0     20     63.1915
08-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     1     0     20     63.3135
09-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     1     6     20     63.4356
10-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     1     6     20     63.5575
11-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     3     6     20     63.6795
12-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     1     6     21     63.8015
13-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     1     6     21     63.9235
14-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     1     6     21     64.0454
15-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     3     0     21     64.1676
16-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     1     0     21     64.2895
17-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     2     2     21     64.4116
18-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     1     2     21     64.5335
19-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     1     2     21     64.6555
20-JUN-11 12.00.00.000000000 AM EUROPE/BERLIN     1     2     21     64.7775
This data should be presented like:
STORAGEID     MTRLID     CAMPAIGNID     SUM(WEIGHT_CORR) COUNT(*)
1 0 20 184.0851 3
4     0     20     61.6058 1
1     0     20     123.5774 2
1     4     20     49.8715 1
1     0     20     62.2156 1
2     0     20     62.3377 1
2     4     20     187.7448 3
It is like doing a new sub aggregation for any change in the first 3 columns:
select storageid, materialid, campaignid, sum(weight_corr), count(*)
from table....
group by storageid, materialid, campaignid
but not aggregating the complete table in one piece.
.. and finally the overall row sequence order is by TSZ_ENTRY.
TSZ_ENTRY is of type TIMESTAMP WITH TIME ZONE. All other cols are integers. Database is 11.2
I have tried the OVER something, but my skills is not deep enough to do this correctly.
I'm sorry that all blanks in the example gets truncated.
Any suggestions?
BR
/Per

perforsgren wrote:
Do you believe that this is possible by using the same tabibitosan method?As I said earlier, yes, it's eminently possible, by the addition of the "partition by storageid" clause in the first row_number().
eg:
with sample_data as (select to_timestamp('23/05/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 0 mtrlid, 20 campaignid, 61.2397 weight_corr from dual union all
                     select to_timestamp('24/05/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 0 mtrlid, 20 campaignid, 61.3617 weight_corr from dual union all
                     select to_timestamp('25/05/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 0 mtrlid, 20 campaignid, 61.4837 weight_corr from dual union all
                     select to_timestamp('26/05/2011', 'dd/mm/yyyy') tsz_entry, 4 storageid, 0 mtrlid, 20 campaignid, 61.6058 weight_corr from dual union all
                     select to_timestamp('27/05/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 0 mtrlid, 20 campaignid, 61.7277 weight_corr from dual union all
                     select to_timestamp('28/05/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 0 mtrlid, 20 campaignid, 61.8497 weight_corr from dual union all
                     select to_timestamp('29/05/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 4 mtrlid, 20 campaignid, 49.8715 weight_corr from dual union all
                     select to_timestamp('30/05/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 0 mtrlid, 20 campaignid, 62.2156 weight_corr from dual union all
                     select to_timestamp('31/05/2011', 'dd/mm/yyyy') tsz_entry, 2 storageid, 0 mtrlid, 20 campaignid, 62.3377 weight_corr from dual union all
                     select to_timestamp('01/06/2011', 'dd/mm/yyyy') tsz_entry, 2 storageid, 4 mtrlid, 20 campaignid, 62.4596 weight_corr from dual union all
                     select to_timestamp('02/06/2011', 'dd/mm/yyyy') tsz_entry, 2 storageid, 4 mtrlid, 20 campaignid, 62.5816 weight_corr from dual union all
                     select to_timestamp('03/06/2011', 'dd/mm/yyyy') tsz_entry, 2 storageid, 4 mtrlid, 20 campaignid, 62.7036 weight_corr from dual union all
                     select to_timestamp('04/06/2011', 'dd/mm/yyyy') tsz_entry, 3 storageid, 4 mtrlid, 20 campaignid, 62.8256 weight_corr from dual union all
                     select to_timestamp('05/06/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 4 mtrlid, 20 campaignid, 62.9475 weight_corr from dual union all
                     select to_timestamp('06/06/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 0 mtrlid, 20 campaignid, 63.0696 weight_corr from dual union all
                     select to_timestamp('07/06/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 0 mtrlid, 20 campaignid, 63.1915 weight_corr from dual union all
                     select to_timestamp('08/06/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 0 mtrlid, 20 campaignid, 63.3135 weight_corr from dual union all
                     select to_timestamp('09/06/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 6 mtrlid, 20 campaignid, 63.4356 weight_corr from dual union all
                     select to_timestamp('10/06/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 6 mtrlid, 20 campaignid, 63.5575 weight_corr from dual union all
                     select to_timestamp('11/06/2011', 'dd/mm/yyyy') tsz_entry, 3 storageid, 6 mtrlid, 20 campaignid, 63.6795 weight_corr from dual union all
                     select to_timestamp('12/06/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 6 mtrlid, 21 campaignid, 63.8015 weight_corr from dual union all
                     select to_timestamp('13/06/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 6 mtrlid, 21 campaignid, 63.9235 weight_corr from dual union all
                     select to_timestamp('14/06/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 6 mtrlid, 21 campaignid, 64.0454 weight_corr from dual union all
                     select to_timestamp('15/06/2011', 'dd/mm/yyyy') tsz_entry, 3 storageid, 0 mtrlid, 21 campaignid, 64.1676 weight_corr from dual union all
                     select to_timestamp('16/06/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 0 mtrlid, 21 campaignid, 64.2895 weight_corr from dual union all
                     select to_timestamp('17/06/2011', 'dd/mm/yyyy') tsz_entry, 2 storageid, 2 mtrlid, 21 campaignid, 64.4116 weight_corr from dual union all
                     select to_timestamp('18/06/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 2 mtrlid, 21 campaignid, 64.5335 weight_corr from dual union all
                     select to_timestamp('19/06/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 2 mtrlid, 21 campaignid, 64.6555 weight_corr from dual union all
                     select to_timestamp('20/06/2011', 'dd/mm/yyyy') tsz_entry, 1 storageid, 2 mtrlid, 21 campaignid, 64.7775 weight_corr from dual),
     tabibitosan as (select tsz_entry,
                            storageid,
                            mtrlid,
                            campaignid,
                            weight_corr,
                            row_number() over (partition by storageid order by tsz_entry) - row_number() over (partition by storageid, mtrlid, campaignid order by tsz_entry) grp
                     from   sample_data)
select storageid,
       mtrlid,
       campaignid,
       sum(weight_corr) sum_weight_corr,
       count(*) total
from   tabibitosan
group by storageid,
         mtrlid,
         campaignid,
         grp
order by storageid, min(tsz_entry);
STORAGEID     MTRLID CAMPAIGNID SUM_WEIGHT_CORR      TOTAL
         1          0         20        307.6625          5
         1          4         20         49.8715          1
         1          0         20         62.2156          1
         1          4         20         62.9475          1
         1          0         20        189.5746          3
         1          6         20        126.9931          2
         1          6         21        191.7704          3
         1          0         21         64.2895          1
         1          2         21        193.9665          3
         2          0         20         62.3377          1
         2          4         20        187.7448          3
         2          2         21         64.4116          1
         3          4         20         62.8256          1
         3          6         20         63.6795          1
         3          0         21         64.1676          1
         4          0         20         61.6058          1Ie. instead of comparing each storageid, mtrlid and campaignid against the whole ordered set of data, you're now comparing it against the ordered set per storageid.
2 views will give you what you want, if you're needing both types of results, but bear in mind with the storageid one, you may need to switch to an inline view in order for the predicate pushing to happen (ie. calculating the results for the specific storageid(s) passed in, rather than calculating the whole set and then filtering).

Referencing Aggregated Column Value in Where Clause

Hello -
I'm trying to determine how I can accomplish the following in the most straightforward, efficient way.
Among other things, I'm selecting the following value from my table:
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,         MAX (recieved_date) AS last_received_date
FROM      table_x
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;

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By the way, you can show (as a status) what the current color space of your document is in a couple of ways: The little status box at the lower-left of the document editing area, or via the Info Panel.
-Noel

Before aggregation - incorrect values

Hello,
I am using Calculated Key Figure with time of aggregation calculation = "before aggregation" and then I use this CKF in columns. Some rows are calculated correctly, but some of them are not. And when I check the key figure definition for those incorrect in monitor query I can see the way how it is calculated and everything seems to be OK in the row 1 (picture) , but in row 2 the value is incorrect.
<a href="http://raisik.webz.cz/key_fig1.JPG">http://raisik.webz.cz/key_fig1.JPG</a>
Any idea why?
Thanks for any help.
Regards
Pavel

Hi Agrima,
Check here.....
http://help.sap.com/saphelp_nw04/helpdata/en/6f/56853c08c7aa11e10000000a11405a/content.htm
Thanks,
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Here is the whole code.
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var oModel1 = new sap.ui.model.json.JSONModel();
// // set the data for the model
oModel1.setData(data);
// set the model to the core
oDetailPage2.setModel(oModel1);
var contactList1 = new sap.m.List("newlist");
var inputField = new sap.m.TextArea();
var but1 = new sap.m.Button({text: "Send", tap: function(){
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$.ajax({
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//Populate the List with Data from the Model (Set in the Controller of this View)
contactList1.bindAggregation("items", {
path : "/d/results", //Reference to the JSON structure
template: new sap.m.StandardListItem({
title: "{FROM}", //Refer the name field in the JSON data
description: "{MSG}", //Address Field in the data
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oDetailPage2.addContent(contactList1);
oDetailPage2.addContent(inputField);
oDetailPage2.addContent(but1);
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//oModel.createBindingContext("/d/results", null, {select: "FROM"},function(a){});
contactList.bindAggregation("items", {
path : "/d/results", //Reference to the JSON structure
template: new sap.m.StandardListItem({
title: "{FROM}", //Refer the name field in the JSON data
//description: "{FROM}", //Address Field in the data
//select: "FROM,TO",
type: sap.m.ListType.Navigation //Specify what to do while clicking/tapping an item in the list, in this example navigate to another view
var oMasterPage1 = new sap.m.Page("master1",{
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oSplitApp.addDetailPage(oDetailPage2);
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//oSplitApp.setInitialMaster("master");
oSplitApp.placeAt("body");
</script>
</head>
<body class="body">
<div id="body">
</div>
</body>
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I am attempting to use XML Publisher to change a logo image at the top of a template. I have used the following command with great success:
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Unfortunately, this works fine when I have C_PAYGROUP in the Context Element of the XML output I am referencing... in reality this is not the case as I need to get to the absolute path and specify my C_PAYGROUP value from the top level down... i.e:
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