Distinct count problem

Hi, I'm having trouble with retrieving a count of data from a table. The table columns are as follows....Project_id....Role_code....Company_id. Every project has multiple roles assigned to it and corresponding company_id's. I'm trying to count how many of each type of role exists in the table. When i count at the moment it gives me the number of instances of the role occurring, instead of the distinct ammount of company_id's and what roles the company has....would appreciate some help.

Hi,
use aggregate function
select a,b,count(*)
from table
group by a,b
Best,
EA

Similar Messages

How do I solve this distinct count problem?

Hello experts,
So, I have an OBI report (table view). I needed to get the percentage difference btn 2 columns, I did. Then I had to summarize difference in 4 buckets (0-15, 16-30, 31-50, >50%); I did (case statement). NOW, I need to summarize(distinct count) the above buckets based on Store numbers for each day.
Basically, if the difference is btn(0-5%) and I have 5 stores then I need to see 5 stores separately. The problem I am having when I do the distinct count instead of having separate counts for each bucket I am getting the total. I see the buckets summarized, but the store column is showing the total number of all(we have about 700 stores) instead of breaking down the count for each bucket. In the stores column I am using the distinct count function, I don't know if the problem is here or the case statement for buckets. I don't know either OBIEE is able to do what I trying to do, since I have yet to do this kind of function. I have gotten few leads on my first post, so far none of them have worked.
As always, your insights are highly appreciated,

Instead of using Distinct Count in Aggregation Rule,Try using in Column Formula.
Let me know if u need any help on this.
Thanks,

MSSQL2005 Analysis Service Distinct Count

hi,
i am currently trying to build a distinct count on my cube (mssql2005 analysis services).
But after i added the discount count on the field i want to and start the processing, the following errors appear.
- Errors in the OLAP storage engine: The sort order specified for distinct count records is incorrect.
- Errors in the OLAP storage engine: An error occurred while processing the 'FACT VIEW STATISTIC' partition of the 'FACT VIEW STATISTIC 1' measure group for the 'Accident Statistic' cube from the OLAP_PROJECT database.
the count measure works fine.
will appreciate any help on this distinct count problem.
thanks in advance.
HY

I also received this error:
"Errors in the OLAP storage engine: The sort order specified for distinct count records is incorrect. "
Running SQL Server 2005 SP2 Enterprise Edition
The collation between SQL Server and Analysis Services was the same.
The distinct count was on a character data type.
There were no NULLs in the data.
The cube was processing fine until new data was added.
After some investigation into the data it seems that the culprit was one row that the data length was 13 characters on the column of the distinct count. Everything else was less than 13 characters. (See results below). Updating this one row solved the problem. The exact value of the data is: '1-4296-175-9'
Here is a result set:
select len(columnname) as data_length, count(*) as count
from [tablename]
group by len(columnname)
order by data_length
data_length   count
2    3
5    1
6    3
7    2
9    1
10    856
13    1
My question though is if SQL2005 can do distinct counts on strings then why choke on one row with an extra length?

Report using Tabular Model and Measures based on Distinct Counts

Hello,
I am creating a report that should present something like this:
YEAR-1 | MONTH-1 | MONTH-2 | MONTH-3... | YEAR | MONTH-1 | MONTH-2 | MONTH-3...
My problem is that when designing the dataset to support this layout I drag the Year, Month and Distinct count Measure, but on the report when I want the value for the YEAR level I don't have it and I cannot sum the months value...
What is the best aproach to solve this? Do I really have to go to advanced mode and customize my MDX or DAX? Can't basic users do something like this that seems so trivial and needed?
Thank you
Luis Simões

Hi Luis,
According to your description, you create a Reporting Services report using Analysis Service Tabular Model as the datasource, now what you want is sum the months value on year level, right?
In your scenario, you can add the Month field to column group, add a parent group using Year Field and then add a Total on Month group. In this case, Reporting Services will sum the months value on Year level. I have tested it on my local environment, the
screenshot below is for you reference.
Reference:Lesson 6: Adding Grouping and Totals (Reporting Services)
If this is not what you want, please describe your dataset structure, so that we can make further analysis.
Regards,
Charlie Liao
TechNet Community Support

Distinct Count Function-how to use properly

Hello,
I am new to using forums & have only been using Crystal since May of 2009, so i hope i do this correctly & provide the appropriate information. i've looked for this answer in what's been posted but cannot find it. Some things i've read I don't really understand. I only know how to use the functions that are in the software, i don't know how to write them myself (i think that's when people have referred to SQL code or basic syntax)
I have CR Professional, version 11.0.0.1282 (Crystal Reports XI).
I work at a county health dept and we have a annual medicaid cost report, I am linking Crystal to our EMR billing module. i have my report sorted by insurance, ie medicaid, bcbs, abw, hpm etc. and within each ins group i have the clients ID, DOS (date of service), procedure code, charge amt, ins pmt & patient pmt. i have totaled the charges & pmts for each group-works fine. i even have been able to create the formula to adj out the duplicate entries in the billing module (a service was entered wrong then adjusted out then re-entered correctly-without my formula crystal was pulling both these records and adding them to total charges.)
Where my problem lies and what my question is: I need to count encounters, an encounter is the visit, but each visit could have 2 or more procedure codes. So this results in multiple lines on my report for one visit, which i want for the charges to add correctly, but it makes my visit count to high. So I read about the distinct count function, of which there are three listed & i'm having a hard time understanding the differences. What i tried is: a distinct count of the acct ID-so the same acct ID's are only counted the one time. But some clients see us more than once per year, meaning the acct ID is the same but the DOS is different. For this client that would be 2 visits. But crystal is counting this as 1.
Saying what i want to do is this: Count as 1 when the acct ID and DOS are the same. I've tried using the different distinct counts but when i check my formula it always has errors. So I'm sure my lack of knowledge is what's holding me up-i fully believe crystal can do this.
Any help would be greatly appreciated.

I create a dummy table, set up acc_id and DOS and Charge.
Created a running total
Summarized acc_id
Type of summary Count
Evaluated using a formula
<> previous ()
and reset on ACC_ID
My groups were sorted by acc_id and date
where there were multiple visits on the same DOS my count was 0
where the dos changed it would count accordingly.
You may need to use two Running totals to get the complete picture.

Accumulative Distinct Counts

I’ve been at this for two days now. Could someone lead me down the right path? Given the following data set:
create table data_owner.test_data
item_number varchar2(10 byte),
store_number varchar2(10 byte),
calendar_year varchar2(10 byte),
calendar_week varchar2(10 byte),
units_sold integer
insert into test_data(item_number, store_number, calendar_year, calendar_week, units_sold)
values ('1111', '31', '2010', '51', 4)
insert into test_data(item_number, store_number, calendar_year, calendar_week, units_sold)
values ('1111', '16', '2010', '51', 2)
insert into test_data(item_number, store_number, calendar_year, calendar_week, units_sold)
values ('1111', '31', '2010', '52', 3)
insert into test_data(item_number, store_number, calendar_year, calendar_week, units_sold)
values ('1111', '27', '2010', '52', 1)
insert into test_data(item_number, store_number, calendar_year, calendar_week, units_sold)
values ('1111', '16', '2011', '1', 3)
insert into test_data(item_number, store_number, calendar_year, calendar_week, units_sold)
values ('1111', '27', '2011', '2', 5)
insert into test_data(item_number, store_number, calendar_year, calendar_week, units_sold)
values ('1111', '20', '2011', '2', 4)
insert into test_data(item_number, store_number, calendar_year, calendar_week, units_sold)
values ('2222', '27', '2010', '51', 3)
insert into test_data(item_number, store_number, calendar_year, calendar_week, units_sold)
values ('2222', '16', '2010', '52', 2)
insert into test_data(item_number, store_number, calendar_year, calendar_week, units_sold)
values ('2222', '20', '2010', '52', 1)
insert into test_data(item_number, store_number, calendar_year, calendar_week, units_sold)
values ('2222', '16', '2011', '1', 3)
insert into test_data(item_number, store_number, calendar_year, calendar_week, units_sold)
values ('2222', '31', '2011', '2', 3)
select * from test_data
item_number     store_number     calendar_year     calendar_week     units_sold
1111     31     2010     51     4
1111     16     2010     51     2
1111     31     2010     52     3
1111     27     2010     52     1
1111     16     2011     1     3
1111     27     2011     2     5
1111     20     2011     2     4
2222     27     2010     51     3
2222     16     2010     52     2
2222     20     2010     52     1
2222     16     2011     1     3
2222     31     2011     2     3
My desired result is a sum of units sold and an accumulative distinct count of store numbers grouped by item, year, and week. i.e.:
item_number     calendar_year     calendar_week     store_count     sum(units_sold)
1111     2010     51     2     6
1111     2010     52     3     4
1111     2011     1     3     3
1111     2011     2     4     9
2222     2010     51     1     3
2222     2010     52     3     3
2222     2011     1     3     3
2222     2011     2     4     3
I can’t seem to get the store count right. I’ve been trying various methods of the count(distinct store_number) over (…) analytic function, but nothing works. Thanks.

Hi,
Interesting problem!
When using analytic functions, you can't use both DISTINCT and ORDER BY. Too bad; that sure would be convenient.
The most general solution is to use aggregate functions instead of analytic functions, and do a self-join to pair every row ("table" l, for "later" in the query below) with every earleir row ("table" e below) for the same item:
SELECT       l.item_number
,       l.calendar_year
,       l.calendar_week
,       COUNT (DISTINCT e.store_number)     AS store_count
,       SUM (l.units_sold)
     / COUNT (DISTINCT e.ROWID)          AS total_units_sold
FROM       test_data   e
JOIN       test_data   l      ON     e.item_number     = l.item_number
AND                               e.calendar_year || LPAD (e.calendar_week, 2)
                                <= l.calendar_year || LPAD (l.calendar_week, 2)
GROUP BY l.item_number
,       l.calendar_year
,       l.calendar_week
ORDER BY l.item_number
,       l.calendar_year
,       l.calendar_week
;You might think about storing a DATE (say, the date when the week begins) instead of year and week. It would simplify this query, and probably lots of other ones, too. I realize that might complicate some other queries, but I think you'll fiond a net gain.
Thanks for posting the CREATE TABLE and INSERT statements; that helps a lot!
Edited by: Frank Kulash on Nov 18, 2011 12:48 PM
Here's an analytic solution. As you can see, it requires more code, and more complicated code, but it might perform better:
WITH     got_r_num   AS
     SELECT     item_number
     ,     calendar_year
     ,     calendar_week
     ,     units_sold
     ,     ROW_NUMBER () OVER ( PARTITION BY item_number
                               ,                    store_number
                         ORDER BY        calendar_year
                         ,                calendar_week
                       )      AS r_num
     FROM    test_data
SELECT DISTINCT
     item_number
,     calendar_year
,     calendar_week
,     COUNT ( CASE
                    WHEN r_num = 1
              THEN 1
                END
           )             OVER ( PARTITION BY item_number
                                  ORDER BY      calendar_year
                      ,          calendar_week
                             )                    AS store_count
,       SUM (units_sold) OVER ( PARTITION BY item_number
                                ,             calendar_year
                      ,             calendar_week
                         )                         AS total_units_sold
FROM       got_r_num
ORDER BY item_number
,            calendar_year
,       calendar_week
;This approah will not work in all windowing situations. It's okay fo this job, but not if you wanted,for example, a count of distinct stores from the last 6 weeks, and the report covers more than 6 weeks.

Regular measures(measures with SUM function) are not working along Distinct count measures

Hi All,
I am creating a cube that got to have a distinct count measure and a sum measure. if i have created only sum measure then it is working fine. if i create both measures and process the cube only distinct count measure is populated. the sum measure is showing
all blank values. i am using 2008 R2, and creating 2 different measure groups for both measures, after i include the distinct count measure the sum measure becoming null. can you please help me with this? i am breaking my head for last 2 days on this.. Thank
You

Ramesh, measures are affected by the context of the queries that contain them, for example and in some cases, you can get a different total count of something by two different queries, this is because the context of the first query is different than
the second one ... keep this in mind.
Now, I've noticed that you are "creating 2 different measure
GROUPS for both measures", and i guess that you are trying to view those two measures _which are from different measure
groups_ at the same time and in the same report.
considering the info in the first point and as you are create the calculated measures in two different measure
groups, I'm not sure but i guess that this is the problem, and i suggest you create those two calculated measures
in the same measure group, then try to view them again and let's see.
if the previous point didn't solve it, please post the expressions you are using to create the calculated measures, maybe this will help in finding the problem.

The distinct count issue?

Hello experts,
So, I have an OBI report (table view). I needed to get the percentage difference btn 2 columns, I did. Then I had to summarize difference in 4 buckets (0-15, 16-30, 31-50, >50%); I did (case statement). NOW, I need to summarize(distinct count) the above buckets based on Store numbers for each day.
Basically, if the difference is btn(0-5%) and I have 5 stores then I need to see 5 stores separately. The problem I am having when I do the distinct count instead of having the counts separately for each bucket I am getting the total. I see the buckets summarized, but the store column is showing the total number of all(we have about 700 stores) instead of breaking down the count for each bucket. In the stores column I am using the distinct count function, I don't know if the problem is here or the case statement.
I know its Friday, still I believe there is someone who might have an idea on my dilemma.
As always, your insights are highly appreciated,

Header 1
Header 2
Header 3
Header 4
Header 5
Header 6
Date
Store Count
Sales
Todate Sales
Difference %
Difference buckets
03/24/2013
698
716,374
717,011
-0%
0-15%
03/25/2013
698
583,335
583,793
-0%
0-15%
03/26/2013
698
220,640
220,886
-0%
0-15%
03/27/2013
698
236,803
188,150
215
11-30%
Header 8
Srini,
I am still not good at using OTN tables, but above is what I am talking about. Basically, The store count should not show the total count of all stores, instead it should show only distinct count that within the percentage bucket. As u can see it gives me the total, I made sure the aggregate rule isn't sum. By the way, could the problem be the case statement not the store column..
I also tried bucket and store only, still it shows the sum of all stores and not just distinct.
any idea

Specified Order Grouping does not show if Distinct Count is Zero

Post Author: Hieu
CA Forum: General
Hello,
I'm using Crystal Reports XI R2 with SQL data source. I have a cross-tab report with grouping in specified order. It's a report of applicants applying to a college. The grouping is of various majors (degrees). The report summarizes (distinct counts) the number of applicants for the groups of majors. The problem is that if the count for a group of major is zero, then that Named Group does not appear at all in the cross-tab report. I want the Name Group to appear with the count of "0".
I notice this same phenomenon with specified order grouping anywhere and not just in a cross-tab. I have tried changing "convert database/other null values to default" but nothing working yet.
Any help will be most appreciated. Thanks.

Post Author: synapsevampire
CA Forum: General
It's not a phenomenon, it's how databases and SQL works.
You didn't get any rows back for those with a zero distinct count (otherwise the count would be 1 or more, right?), so Crystal doesn't show any data for those groups.
So to display a zero for those that do not exist would reuire either advanced SQL, or manual summaries.
One method for manual summaries is to use Running Totals. Select distinct count of the applicants and group by the majors, then in the evaluate use a formula place:
{table.majors} = "Blah 1"
Creating a seperate Running Total for every group and replacing "Blah 1" with the various majors.
-kai

Error: The sort order specified for distinct count records is incorrect

When processing a measure group with a distinct count measure in it, i get the following error:
"The sort order specified for distinct count records is incorrect."
I have no idea what this means - any ideas?

I had the same problem and your fix worked. In more detail, the problematic field was contract_no. I added a named calculation to the table in the Data Source View with the formula CHECKSUM(contract_no). Then I created the distinct count measure on that named calculation. And, lo and behold, the errors disappeared!
Thank you to Frank.
- CindyCindy P Hoskey

Distinct count of GRN's in Query PLD

hi all,
We have developed a daily grn report and designed report
using Query PLD.
Report contains
(grn no,date,vendor name,vendor ref no,item code,item
description,quanity & line total)
We want to display no of grn's(distinct count)
@ repetitive area footer.
Is there any function available in formula field to display
distinct count of no. of grn's ? / It should done thru query.
Thanks,
with regards,
A.Jeyakanthan

it will be hard from PLD, instead u can have ur query like,
SELECT 'Details', ' ',T0.Docnum, T0.CardName, .... FROM OPDN T0 WHERE Month( T0.DocDate ) = Month ('{%0]')
Union
SELECT 'Counts', count(T0.DocNum) as 'Doc(s) No', ' ', ' ', ... FROM OPDN T0 WHERE Month( T0.DocDate ) = Month ('{%0]')
(Replace { with [ )
Note ' ' is a gap in order to fill the other fields. in first query have given tht ' ' gap purposely so tht the display will not affect ur designing part
union is used b'coz Count() fn is like aggregate, so wont allow further individual fields coming along with it.
the 2nd query will occupy only one row, which by grouping u can separate and can hide from repetitive and take the value via formula field by writing that field's id to it into Footer Area.
Regards,
Dhana.
Edited by: Dhanalakshmi C on Mar 5, 2008 1:31 PM

How to get Distinct Count of Products across two dimensions

Hi,
I have two dimensions, Item and Presentations. I need to get distinct count of products for IMD_Id + Merc_Pres_Id. IMD_Id is the lowest member in Item and Merc_Pres_Id is lowest in Presentation. My MDX query is given below but when I apply filters to
slice it, it does not work and does not give right count. It always gives the count for all.
/* Last Year Demand - Demand for 12 months back of selected months */
With
Member [Measures].[LYDemand]
as
Sum(
Generate(
EXISTING[All Date].[Fiscal Month Name].[Fiscal Month Name].Members,
{parallelperiod([All Date].[Fiscal Month Name].[Fiscal Month Name], 12
,[All Date].[Fiscal Month Name].CurrentMember)}
,[Measures].[Proj Demand]
/* Last to last Year Demand - Demand for 24 back of selected months */
Member [Measures].[LLYDemand]
as
Sum(
Generate(
EXISTING[All Date].[Fiscal Month Name].[Fiscal Month Name].Members,
{parallelperiod([All Date].[Fiscal Month Name].[Fiscal Month Name], 24
,[All Date].[Fiscal Month Name].CurrentMember)}
,[Measures].[Proj Demand]
/* Current Year Active Products */
Member [Measures].[CYCount]
as
CASE
WHEN
[Measures].[Proj Demand] > 0
THEN
DistinctCount(Existing(([All Items].[IMD Id].[IMD Id],[All Merchandise Presentations].[Merch
Pres Key].[Merch Pres Key])))
ELSE
NULL
END
/* Last year Active Products */
Member [Measures].[LYCount]
as
CASE
WHEN
[Measures].[LYDemand] > 0
THEN
DistinctCount(([All Items].[IMD Id].[IMD Id],[All Merchandise Presentations].[Merch Pres Key].[Merch Pres
Key], [All Items].[Style Name].CurrentMember, (StrToMember('[All Date].[Fiscal Month Name].&[201401]',CONSTRAINED).Lag(12)
: StrToMember('[All Date].[Fiscal Month Name].&[201411]',CONSTRAINED).Lag(12))))
ELSE
NULL
END
/* Last to last Year Active Products */
Member [Measures].[LLYCount]
as
CASE
WHEN
[Measures].[LLYDemand] > 0
THEN
DistinctCount(([All Items].[IMD Id].[IMD Id],[All Merchandise Presentations].[Merch Pres Key].[Merch Pres
Key], [All Items].[Style Name].CurrentMember, (StrToMember('[All Date].[Fiscal Month Name].&[201401]',CONSTRAINED).Lag(24)
: StrToMember('[All Date].[Fiscal Month Name].&[201411]',CONSTRAINED).Lag(24))))
ELSE NULL END
SELECT
[Measures].[CYCount], [Measures].[LYCount], [Measures].[LLYCount],
[Measures].[Proj Demand],[Measures].[LYDemand],[Measures].[LLYDemand]
ON
COLUMNS,
Non
Empty([All Items].[Demand Center Name].[Demand Center Name], [All Items].[Style Name].[Style Name])
ON ROWS
FROM
(SELECT (StrToSet('[All Items].[Style].[ALL]'))
ON COLUMNS
FROM
(SELECT (StrToSet('[All Items].[Demand Center].[ALL]'))
ON COLUMNS
FROM
(select (STRTOSET('[All Items].[Merch Group].&[MG-110]'))
on Columns
FROM
(SELECT (StrToSet('[All Merchandise Presentations].[Merch Pres Chnl Dkey].&[MPC-1]'))
ON COLUMNS
From
[FMI Forecasting]
WHERE {strToMember('[All Date].[Fiscal Month
Name].&[201401]',CONSTRAINED) :
StrToMember('[All Date].[Fiscal Month Name].&[201411]',CONSTRAINED)}
Requirements are as follows:
1. Distinct Count should not include products where Proj Demand is 0, when I am using Filter function to remove products with 0 demand, query is really slow and execution time goes up from 35- 40 secs to 8-9 Minutes.
2. When we apply filter (parameters) Distinct Count should be in the context of filters( which are mentioned in the select statement like Style, Demand Center and Merch Group). Currently after applying filters count does not change.
Thanks for help.

Hi Skd78,
Thank you for your question.
I am trying to involve someone more familiar with this topic for a further look at this issue. Sometime delay might be expected from the job transferring. Your patience is greatly appreciated.
Thank you for your understanding and support.
Regards,
Charlie Liao
TechNet Community Support

Distinct count of dimension business key in fact table

In my cube I have a fact table which joins to a patient dimension. The patient dimension is a type 2. What I would like to do is get a distinct count of patients who have records in the fact table. The business key in the patient dimension
is the PrimaryMrn. So a SQL query would look like this.
SELECT count(distinct PrimaryMrn)
FROM EncounterFact e
INNER JOIN PatientDim p
on e.PatientKey = p.PatientKey
Is it possible to do this via MDX?
Thanks for the help.

If you have to distinct count an attribute in a SCD 2, you might choose between:
Denormalizing that attribute in the fact table, and the create a classical DISTINCT COUNT measure
Use a many-to-many approach - see the "Distinct Count" scenario in the Many-to-Many White paper here:
http://www.sqlbi.com/articles/many2many (for both Multidimensional and Tabular
If you use Tabular, you might want to read also this pattern:
http://www.daxpatterns.com/distinct-count/
Marco Russo http://www.sqlbi.com http://www.powerpivotworkshop.com http://sqlblog.com/blogs/marco_russo

Distinct count for multiple fact tables in the same cube

I'm fairly new to working with SSAS, but have been working with DW environments for many years.
I have a cube which has 4 fact tables. The central fact table is Encounter and then I also have Visit, Procedure and Medication. Visit, Procedure and Medication all join to Encounter on Encounter Key. The relationship between Encounter
and Procedure and Encounter and Medication are both an optional 1 to 1. The relationship between Encounter and Visit is an optional 1 to many.
Each of the fact tables join to the Patient dimension on the Patient Key. The users are looking for a distinct count of patients in all 4 fact tables.
What is the best way to accomplish this so that my cube does not talk all day to process? Please let me know if you need any more information about my cube in order to answer this.
Thanks for the help,
Andy

Hi Andy,
Each distinct count measure cause an ORDER BY clause in the SELECT sent to the relational data source during processing. In SSAS 2005 or later, it creates a new measure group for each distinct count measure(it's a technique strategy for improving perormance).
Besides, please take a look at the following distinct count optimization techniques:
Create Customized Aggregations
Define a Processing Plan
Create Partitions of Equal Size
Use Partitions Comprised of a Distinct Range of Integers
Distribute the Hash of Your UserIDs
Modulo Function
Hash Function
Choose a Partitioning Strategy
For more detail information, please refer to the article below:
Analysis Services Distinct Count Optimization:
http://www.microsoft.com/en-us/download/details.aspx?id=891
In addition, here is a good article about SSAS Best Practices for your reference:
http://technet.microsoft.com/en-us/library/cc966525.aspx
If you have any feedback on our support, please click
here.
Hope this helps.
Elvis Long
TechNet Community Support

Running Total & Distinct Count Query

Crystal 10.0.0.533 CR Professional
Hope you can assist.
I have a report listing deals signed, each deal has a corresponding category i.e. industry type, Accountant, Chiropractor, Financial Services, etc.
I am undertaking a Distinct Count on these categories so that in the group footer it is showing number of different categories signed in a period (the report is grouped into different date periods). This is working OK.
However, I need to EXCLUDE the category from this distinct count if the deal value is zero.
I have tried using a formula to show a blank field if the value is zero, however it appears to be distinctly counting the blank as a category?
Any assistance would be much appreciated.
Tracy

Deffinetly it will be less than what you expect for grand total. It is because when you are calculating distinct count for each group suppose
Group A has categories A,B,C,D-->distinct count (4)
Group B has C,D,E,F-->distinct count (4)
but while calculating grand total then the distinct count will be
A,B,C,D,E,F --> grand total (6) but not (8).
In this case you need to use mannual running total like this
whileprintingrecords;
numbervar i;
i:=i+{running total};
place this in group footer and create another fomula like this
whileprintingrecords;
numbervar i;
place this in report footer to get the correct grand total.
Regards,
Raghavendra

Distinct count problem

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