Logical Column Agreggation: Count Distinct

I have a logical column with agreggation = 'CountDistinct'. The problem is when this column is included in my request, it slows down the generation of request. Sometimes the request would run for more than 40 minutes just reading 250,000 records. Is there another way I could handle this 'CountDistinct' like just putting the DISTINCT part in the 'WHERE CLAUSE'? Which functions could be used as an alternative?
I would appreciate your suggestions/advices.
Thanks in advance.

I already created the index but was skeptic because the fields involved were nullable. The performance remained the same.
Anyways, thanks for the advice.

Similar Messages

Count Distinct in Pivot table totals? OBIEE 11.1.1.5

Hi,
I have got a column that counts distinct customers per each month of the year and at the end of the analysis, it should show distinct customer count of the year as TOTAL. How can it be achieved? Is it possible to customize pivot table totals?
Example:
Month Customers
Jan          10
Feb          20 (10 new customers)
Mar           15 (5 new customers)
TOTAL: 25 (distinct values --> 10+10+5)Thanks in advance.

Hi MK,
I tried it already and it does not work. It takes the distinct value of each month, which is month's count distinct and then it sums. So the total is 45 (10+20+15) not 25.
Thanks for you reply.

Logical Aggregate Column (count(distinct)) Does Not Group for SQL Server DB

When utilizing the count(distinct column_name) aggregate function within a Logical Fact source in the Business Model and Mapping layer in the RPD file the output in BI Answers is not grouping correctly for SQL Server 2008 database sources only. All Oracle database sources represent the same aggregate column correctly within BI Answers.
I am using OBIEE version 10.1.3.3.3
Does anyone know how to resolve this issue?
Thanks in advance,
Kyle

I thought that I would update my current findings with this issue. If you display the report in BI Answers as a Pivot Table view the aggregate column displays properly, it does not in a Table or Compound Layout view for some reason. I am still working with Oracle Support on this.

COUNT(DISTINCT) on multiple columns?

Is there an easier way of doing a COUNT(DISTINCT...) on multiple items than converting them to strings and concatenating them?
i.e. if I have a table with column string1 as VARCHAR2(1000), number2 as NUMBER, and date3 as DATE, and I want a count on how many distinct combinations of the three exist, is there a better way than:
SELECT COUNT(DISTINCT string1 || TO_CHAR(number2) || TO_CHAR(date3, 'YYYYMMDD'))-- Don

Hi,
Why not a group by?
SQL> ed
Wrote file afiedt.buf
1 with t as
2 (
3 select 'string1' string1, 1 number1, to_date('10-NOV-2009','DD-MON-YYYY') date1 from dual
4 union all select 'string2',1,to_date('10-NOV-2009','DD-MON-YYYY') from dual
5 union all select 'string1',1,to_date('11-NOV-2009','DD-MON-YYYY') from dual
6 union all select 'string1',2,to_date('11-NOV-2009','DD-MON-YYYY') from dual
7 union all select 'string2',1,to_date('10-NOV-2009','DD-MON-YYYY') from dual
8 )
9 select string1, number1, date1 from t
10* group by string1, number1, date1
SQL> /
STRING1    NUMBER1 DATE1
string1          1 11-NOV-09
string2          1 10-NOV-09
string1          1 10-NOV-09
string1          2 11-NOV-09
SQL> ed
Wrote file afiedt.buf
1 with t as
2 (
3 select 'string1' string1, 1 number1, to_date('10-NOV-2009','DD-MON-YYYY') date1 from dual
4 union all select 'string2',1,to_date('10-NOV-2009','DD-MON-YYYY') from dual
5 union all select 'string1',1,to_date('11-NOV-2009','DD-MON-YYYY') from dual
6 union all select 'string1',2,to_date('11-NOV-2009','DD-MON-YYYY') from dual
7 union all select 'string2',1,to_date('10-NOV-2009','DD-MON-YYYY') from dual
8 )
9 select string1, number1, date1 from t
10 group by string1, number1, date1
11* having count(*) > 1
SQL> /
STRING1    NUMBER1 DATE1
string2          1 10-NOV-09-Arun

Logical Columns - Running Sum & 3Month Rollover

Hi All,
Need to build a logical column.
I have a column with number of units (count distinct) in RPD.
I need to build a new logical column in the REPOSITORY , such that it has running sum values.... sothat when i pick this #units column and months column in the ANSWERS...I need to get roll over of all previous values for first month.
Say Jan ---> XXXX units ( summation of all previous available units - few years)
Feb----> YYYY units ( sum of till jan values & Feb units)
Mar----> ZZZZ ...etc ( sum of till Feb values & Mar units) so on.
Based on this newly built column I need to build another column of " 3 months roll over " column.
Replies appreciated.
Thanks in advance.

Hi user11939829m
So help me understand your new measures a little better. For the sake of this post, let's say your data is like so
Month Year -- Units
Jan 2010 -- 1
Feb 2010 -- 2
Mar 2010 -- 3
Apr 2010 -- 4
May 2010 -- 5
Jun 2010 -- 6Then let's say you have a report with the above columns and the new running sum columns.
Month Year -- Units -- Running Sum Units
Jan 2010 -- 1 -- 1
Feb 2010 -- 2 -- 3
Mar 2010 -- 3 -- 6
Apr 2010 -- 4 -- 10
May 2010 -- 5 -- 15
Jun 2010 -- 6 -- 21Now what exactly would your three months rollover be? Would the 3 month rolling sum = running sum for current month + running sum for last month + running sum for last last month?
i.e.
Month Year -- Units -- Running Sum Units -- 3 Month Rolling Sum
Jan 2010 -- 1 -- 1 -- 1
Feb 2010 -- 2 -- 3 -- 4
Mar 2010 -- 3 -- 6 -- 10
Apr 2010 -- 4 -- 10 -- 19
May 2010 -- 5 -- 15 -- 31
Jun 2010 -- 6 -- 21 -- 46Not sure what value such a measure would add. Or do you mean 3 month rolling sum would be the running sum for just the last three months (like below)? This makes more sense but in your description, you indicated that you'd build the 3 month rolling sum off of the running sum which confused me a bit.
Month Year -- Units -- Running Sum Units -- 3 Month Rolling Sum
Jan 2010 -- 1 -- 1 -- 1
Feb 2010 -- 2 -- 3 -- 3
Mar 2010 -- 3 -- 6 -- 6
Apr 2010 -- 4 -- 10 -- 9
May 2010 -- 5 -- 15 -- 12
Jun 2010 -- 6 -- 21 -- 15 Is that what you are going for? Please elaborate.
Best regards,
-Joe

Create two logical columns with same LTS mapping but diff filter conditions

Hi,
Problem:
How to create two logical columns within same logical table mapped to same physical column but different filter conditions?
I have a scenario where in,
Physical layer columns
     - table1.employee
     - table1.emp_city
I need a columns in logical layer:
Logical layer - lt1.count_emp_delhi (counts distinct employees whose city_name = 'Delhi')
          lt1.count_emp_mumbai(counts distinct employees whose city_name = 'Mumbai')
My approach:
For Delhi column
1. Create a logical column lt1.count_emp_delhi mapped to the physical column table1.employee
2. Aggregate using countdistinct in aggregate tab.
3. Edit the mapping condition
     3.1. Use the where clause and set table1.emp_city='Delhi'.
For Mumbai column.
Followed the same approach as above but in 3.1 if I change the condition to 'Mumbai', even the delhi column is populated with mumbai count which is ERRONEOUS
Could some one please help?

Hi,
1. Create two alias tables for table1 in Physical Layer. Lets say TB_Mumbai and TB_Delhi
2. Create a logical table in BMM layer (D1 Employee Cities )
3. Drag and drop the employee & emp_city columns from both alias tables (TB_Mumbai and TB_Delhi ) into your newly created logical table.
4. Now you can see two Logical Table Sources (TB_Mumbai and TB_Delhi )
5. Now using Where condition, write the condition on each table
NOTE: Don't write any condition on the Physical table Table1.
Hope it helps you.
Regards,
Kalyan Chukkapalli
http://123obi.com

Two physical logical source formulas for on logical column

I have two fact tables :
1. W_SERVICE_REQ_F(opened_dt_wid, assigned_dt_wid, closed_dt_wid, QUEUE_WID, SERVICE_REQ_WID): grain is one row per service request
2. W_SERVICE_REQ_DAY_A(DATE_WID, QUEUE_WID, NUM_OPENED, NUM_CLOSED, num_assigned)
The goal is to answer NUM_OPENED, NUM_CLOSED per queue in a day and be able to drill-down to those service requests.
Physical model:
Common_Date.row_wid = W_SERVICE_REQ_F (Opened_Dt).opened_dt_wid
Common_Date.row_wid = W_SERVICE_REQ_F (Closed_Dt).closed_dt_wid
Common_Date.row_wid = W_SERVICE_REQ_DAY_A.DATE_WID
Queue_d.row_wid = W_SERVICE_REQ_F.QUEUE_WID
Queue._drow_wid = W_SERVICE_REQ_DAY_A.QUEUE_WID
Service_req_d.row_wid = W_SERVICE_REQ_F.SERVICE_REQ_WID. (there is no join between Queue_d and Service_req_d)
BMM Fact and LTSs:
I have W_SERVICE_REQ_DAY_A, W_SERVICE_REQ_F (Opened_Dt), W_SERVICE_REQ_F (Closed_Dt) as LTSs of "Fact - Service Request" in that order.
BMM Fact logical columns (measures):
# Closed
# Opened
Question:
I want to configure each of the above logical column with two physical columns of different aggregate forumlas. (to ensure queries that dont need service req number hit a table) (similar to http://www.gerardnico.com/wiki/dat/obiee/fragmentationlevel_based).
SUM(W_SERVICE_REQ_DAY_A.NUM_CLOSED)
COUNT("W_SERVICE_REQ_F (Closed_Dt)".SERVICE_REQ_WID)
Can someone help in configuring one logical column with two physical column sources with different aggregate formulas?
This is what I tried:
In # Opened Properites->Data Type, mapped it to both W_SERVICE_REQ_F (Closed_Dt).ROW_WID and W_SERVICE_REQ_DAY_A.NUM_CLOSED
In # Opened Properties->Aggregation tab, selected 'Default aggregation rule' as Count Distinct. In the bottom, Logical table sources override as follows:
W_SERVICE_REQ_DAY_A : SUM("Fact - Service Request"."# Closed")
W_SERVICE_REQ_F : COUNT("Fact - Service Request"."# Closed")
Should it be done in a different way?
PS: OBIEE 10.1.3.4.
added OBIEE version: Feb 3, 2012 4:40 PM

I have two fact tables :
1. W_SERVICE_REQ_F(opened_dt_wid, assigned_dt_wid, closed_dt_wid, QUEUE_WID, SERVICE_REQ_WID): grain is one row per service request
2. W_SERVICE_REQ_DAY_A(DATE_WID, QUEUE_WID, NUM_OPENED, NUM_CLOSED, num_assigned)
The goal is to answer NUM_OPENED, NUM_CLOSED per queue in a day and be able to drill-down to those service requests.
Physical model:
Common_Date.row_wid = W_SERVICE_REQ_F (Opened_Dt).opened_dt_wid
Common_Date.row_wid = W_SERVICE_REQ_F (Closed_Dt).closed_dt_wid
Common_Date.row_wid = W_SERVICE_REQ_DAY_A.DATE_WID
Queue_d.row_wid = W_SERVICE_REQ_F.QUEUE_WID
Queue._drow_wid = W_SERVICE_REQ_DAY_A.QUEUE_WID
Service_req_d.row_wid = W_SERVICE_REQ_F.SERVICE_REQ_WID. (there is no join between Queue_d and Service_req_d)
BMM Fact and LTSs:
I have W_SERVICE_REQ_DAY_A, W_SERVICE_REQ_F (Opened_Dt), W_SERVICE_REQ_F (Closed_Dt) as LTSs of "Fact - Service Request" in that order.
BMM Fact logical columns (measures):
# Closed
# Opened
Question:
I want to configure each of the above logical column with two physical columns of different aggregate forumlas. (to ensure queries that dont need service req number hit a table) (similar to http://www.gerardnico.com/wiki/dat/obiee/fragmentationlevel_based).
SUM(W_SERVICE_REQ_DAY_A.NUM_CLOSED)
COUNT("W_SERVICE_REQ_F (Closed_Dt)".SERVICE_REQ_WID)
Can someone help in configuring one logical column with two physical column sources with different aggregate formulas?
This is what I tried:
In # Opened Properites->Data Type, mapped it to both W_SERVICE_REQ_F (Closed_Dt).ROW_WID and W_SERVICE_REQ_DAY_A.NUM_CLOSED
In # Opened Properties->Aggregation tab, selected 'Default aggregation rule' as Count Distinct. In the bottom, Logical table sources override as follows:
W_SERVICE_REQ_DAY_A : SUM("Fact - Service Request"."# Closed")
W_SERVICE_REQ_F : COUNT("Fact - Service Request"."# Closed")
Should it be done in a different way?
PS: OBIEE 10.1.3.4.
added OBIEE version: Feb 3, 2012 4:40 PM

Count distinct derived measure on SCD type 2 dimension

Hi,
I have 2 dimension tables with SCD type 2 and one fact table :
DIM1 :
DIM1_SURR_KEY
DIM1_NAT_KEY
DIM1_PROPERTY1
DIM1_PROPERTY2
EFFECTIVE_DATE
EXPIRATION_DATE
DIM2 :
DIM2_SURR_KEY
DIM2_NAT_KEY
DIM2_PROPERTY1
DIM2_PROPERTY2
EFFECTIVE_DATE
EXPIRATION_DATE
FACT :
DIM1_SURR_KEY
DIM2_SURR_KEY
MEA1
MEA2
Dimension and fact tables are joined with : DIM1_SURR_KEY and DIM2_SURR_KEY.
In my business layer fact table, I would like to define this derived measure : count distinct of DIM1_NAT_KEY.
I tried to add new source for the fact table. I also tried an alias of DIM1 in physical layer.
Nothing works as I want : In Answers, if I select the fact and the count distinct, it works. Even if I select property of DIM1. But if I select property of DIM2, my count distinct return 0 (in SQL sent to Oracle DB, the formula is replaced with NULL).
Is it possible (and how) to count the number of Nat_Key with a derived measure defined in business layer ?
If not, I’ll define materialized view on fact table with natural key and dimension ID.
My first goal is to avoid end user to redefine derived column in Answers for each reports.
Thanks for your help

Hi,
my advise is to map the DIM1_NAT_KEY iside the Fact Table of the Business Model, so you have a new Logical Table Source inside the Logical Fact Table that maps the DIM1_NAT_KEY as a measure. Define the Level for this Logical Table Source and set the COUNT DISTINC aggregation. In this way OBIEE knows that that measure is inside a fact an it treat like that.
I hope it helps.
Regards,
Gianluca

Count Distinct Wtih CASE Statement - Does not follow aggregation path

All,
I have a fact table, a day aggregate and a month aggregate. I have a time hierarchy and the month aggregate is set to the month level, the day aggregate is set to the day level within the time hierarchy.
When using any measures and a field from my time dimension .. the appropriate aggregate is chosen, ie month & activity count .. month aggregate is used. Day & activity count .. day aggregate is used.
However - when I use the count distinct aggregate rule .. the request always uses the lowest common denominator. The way I have found to get this to work is to use a logical table source override in the aggregation tab. Once I do this .. it does use the aggregates correctly.
A few questions
1. Is this the correct way to use aggregate navigation for the count distinct aggregation rule (using the source override option)? If yes, why is this necessary for count distinct .. what is special about it?
2. The main problem I have now is that I need to create a simple count measure that has a CASE statement in it. The only way I see to do this is to select the Based on Dimensions checkbox which then allows me to add a CASE statement into my count distinct clause. But now the aggregation issue comes back into play and I can't do the logical table source override when the based on dimensions checkbox is checked .. so I am now stuck .. any help is appreciated.
K

Ok - I found a workaround (and maybe the preferred solution for my particular issue), which is - Using a CASE Statement with a COUNT DISTINCT aggregation and still havine AGGREGATE AWARENESS
To get all three of the requirements above to work I had to do the following:
- Create the COUNT DISTINCT as normal (counting on a USERID physically mapped column in my case)
- Now I need to map my fact and aggregates to this column. This is where I got the case statement to work. Instead of trying to put the case statement inside of the Aggregate definition by using the checkbox 'Base on Dimension' (which didnt allow for aggregate awareness for some reason) .. I instead specified the case statement in the Column Mapping section of the Fact and Aggregate tables.
- Once all the LTS's (facts and aggregates) are mapped .. you still have to define the Logical Table Source overrides in the aggregate tab of the count distinct definition. Add in all the fact and aggregates.
Now the measure will use my month aggregate when i specify month, the day aggregate when i specify day, etc..
If you are just trying to use a Count Distinct (no CASE satement needed) with Aggregate Awareness, you just need to use the Logical Table Source override on the aggregate tab.
There is still a funky issue when using the COUNT aggregate type. As long as you dont map multiple logical table sources to the COUNT column it works fine and as expected. But, if you try to add in multiple sources and aggregate awareness it randomly starts SUMMING everything .. very weird. The blog in this thread says to check the 'Based on Dimension' checkbox to fix the problem but that did not work for me. Still not sure what to do on this one .. but its not currently causing me a problem so I will ignore for now ;)
Thanks for all the help
K

Grand Total with Count Distinct

Hi,
I want to use grand total to count distinct my data,
I had physical map ActivityId into my fact and set count distinct to its aggregation rules.
then when i create my report the anwser is OK.(count distinct ActivityID). But in grandtotal is sum.
The aggregation Rules in BI Awnser is set it Default.
[Pic >> http://image.ohozaa.com/i/866/tablecountdisctinct.jpg ]
i don't know why , i try to set many thing but it isn't work
Thank ,Regard.
And sorry about my English Language.

couple of things required here..
how did you build this measure in rpd?
Is that physical mapped or logical mapped column(derived column)?
Map it as physically and apply aggregation rule on top of it to: CountDistinct
Now, pull the column in front-end it has to give you proper sub-total/total..
Or, Try putting the formula in front-end in fx of the column and try..

How to count distinct excluding a value in business layer?

Hi all,
I'm having a column which has many values. I need to make this is as a measure with count distinct aggregator. But i should not count 0 in the column. How can i do this. If i try to use any condition means the aggregator option is disables. Please help
Thanks

Look this example:
I made in BMM in the SALES fact table measure:
Count_Distinct_Prod_Id_Exclude_Prod_Id_144
I'll count distinct PRODUCTS.PROD_ID, but exclude PROD_ID=144 in counting.
Make this measure like this:
1. New object/Logical column
2. Go to data type tab and click EDIT on the logical table table source
3. Now, in the general tab add join to a table (in my case PRODUCTS)
4. Go to the column mapping tab -> show unmapped columns
5. In the new column (in my case Count_Distinct_Prod_Id_Exclude_Prod_Id_144) write code like similar:
CASE WHEN "orcl".""."SH"."PRODUCTS"."PROD_ID" = 144 THEN NULL ELSE "orcl".""."SH"."PRODUCTS"."PROD_ID" END
6. Click OK and close the logical table source window
7. Now, in the logical column window go to aggregation tab and choose COUNT DISTINCT.
8. Move the measure Count_Distinct_Prod_Id_Exclude_Prod_Id_144 in the presentation area
9. Test in Answers (report cointains columns as follow)
PROD_CATEGORY_ID
Count_Distinct_Prod_Id_Exclude_Prod_Id_144
And the result in the NQQuery.log is:
select T21473.PROD_CATEGORY_ID as c1,
count(distinct case when T21473.PROD_ID = 144 then NULL else T21473.PROD_ID end ) as c2
from
PRODUCTS T21473
group by T21473.PROD_CATEGORY_ID
order by c1
Regards
Goran
http://108obiee.blogspot.com

How to display the count distinct in a report

hi,
i have a report with multiple columns in it and with column, say A; i need to display in a calculated column B how many distinct values there are in A across the entire report; how to do that?

Hi.
For example:
CALENDAR_YEAR
CALENDAR_MONTH_DESC
count(distinct TIMES.CALENDAR_MONTH_DESC by TIMES.CALENDAR_YEAR)
Count will give you how many distinct months are in year.
Regards
Goran
http://108obiee.blogspot.com

How To Create Logical column For Lastyear To Till Date

Hi All,
I Have to calculate Lastyear to Till Date for Logical Column.
Ex:I have Time Dime and Fact column and Dimension columns.
jan 2011 to oct 2012.
Please Let me know.
Thanks,
Abhi

Looks like you are not reading my messages
Since you are doing on logical columns getting this error.
Try this using physical columns then count from aggregate tab
CASE WHEN "Oracle Data Warehouse"."Catalog"."dbo"."Fact_W_SRVREQ_F_Open_Date"."OPEN_DT_WID" > 20110101 THEN "Oracle Data Warehouse"."Catalog"."dbo"."Fact_W_SRVREQ_F_Open_Date"."SR_WID" END
The same you can go with your variable
Or else the same can do by duplicating the existing Fact - CRM - Service Request"."# of SRs" and just add above code.
or just use the below you dont use sum since already aggregation is happend for # of SRs
CASE WHEN "Core"."Dim - Date"."Year" = VALUEOf("Warehouse Refresh Date Last Year"."CURRENT_CALENDAR_YEAR_LAST_YEAR") AND "Core"."Dim - Date"."Date" < VALUEOF("Warehouse Refresh Date Last Year"."LAST_REFRESH_DATE_LAST_YEAR") THEN "Core"."Fact - CRM - Service Request"."# of SRs" END
Hope this works, mark as correct

How to create a view with a column of counts of the occurence of values

If my table is:
ID
1
2
3
3
5
5
5
I want to create a view with the following result:
ID   COUNT
1     1
2     1
3     2
5     3
How would I accomplish this?

Sorry, my mistake. I was thinking about counting distinct events.
I created a table with your example values:
You should do a projection with a calculated column = 1:
And then add this calculated column as an aggregated measure on the aggregation node:
Result:
Cheers,
Fernando

Count distinct in case statement

SELECT A.P_ID,
B.P_NAME,
C.P_DESC,
SUM(CASE
WHEN A.DATE BETWEEN TRUNC(ADD_MONTHS(LAST_DAY(SYSDATE),-4) + 1) AND ADD_MONTHS(LAST_DAY(TO_DATE(SYSDATE)),-1)
AND A.M_ID IS NOT NULL
THEN 1
ELSE 0
END) AS COUNT,
SUM(CASE
WHEN A.DATE BETWEEN TRUNC(ADD_MONTHS(LAST_DAY(SYSDATE),-4) + 1) AND ADD_MONTHS(LAST_DAY(TO_DATE(SYSDATE)),-1)
AND A.M_ID IS NOT NULL
THEN COUNT(DISTINCT A.M_ID)
ELSE 0
END) AS UNIQUE_COUNT, /* Not possible */
SUM(CASE
WHEN A.DATE BETWEEN TRUNC(SYSDATE,'YEAR') AND ADD_MONTHS(LAST_DAY(TO_DATE(SYSDATE)),-1)
THEN A.AMT_1
ELSE 0
END) AS TOTAL_AMT_1,
SUM(CASE
WHEN A.DATE BETWEEN TRUNC(SYSDATE,'YEAR') AND ADD_MONTHS(LAST_DAY(TO_DATE(SYSDATE)),-1)
THEN A.AMT_2
ELSE 0
END) AS TOTAL_AMT_2
FROM TABLE_A A,
TABLE_B B,
TABLE_C C
WHERE A.P_ID = B.P_ID
AND B.PT_ID = C.PT_ID
GROUP BY A.P_ID,
B.P_NAME,
C.P_DESC
Hi,
This is a simplified version of my query.
I am trying to do 4 things here,
1. count A.M_ID
2. count distinct A.M_ID, this is where I have a problem.
3. and 4. Its just the sum from 2 diff columns.
Note that the dates for count and amt are different and I can't hard code them.
Can any one help me in the distinct count step?
This query is also running kinda slow.
So any suggestions, comments are very welcome.
Note: TABLE_A has 700 million recs, TABLE_B 4 million and TABLE_c is just 500 recs
Thanks!

Taking advantage of the fact that most aggregate functions ignore nulls, you could do something like:
SELECT a.p_id, b.p_name, c.p_desc,
       COUNT(CASE WHEN a.date BETWEEN TRUNC(ADD_MONTHS(LAST_DAY(sysdate),-4) + 1) AND
                                      ADD_MONTHS(LAST_DAY(TO_DATE(sysdate)),-1) AND
                       a.m_id IS NOT NULL THEN m_id END) AS countall,
       COUNT(DISTINCT CASE WHEN a.date BETWEEN TRUNC(ADD_MONTHS(LAST_DAY(sysdate),-4) + 1) AND
                                    ADD_MONTHS(LAST_DAY(TO_DATE(sysdate)),-1) AND
                     a.m_id IS NOT NULL THEN a.m_id END) AS unique_count, /* entirely possible */
       SUM(CASE WHEN a.date BETWEEN TRUNC(sysdate,'YEAR') AND
                                    ADD_MONTHS(LAST_DAY(TO_DATE(sysdate)),-1) THEN a.amt_1
                ELSE 0 END) AS total_amt_1,
       SUM(CASE WHEN A.DATE BETWEEN TRUNC(sysdate,'YEAR') AND
                                    ADD_MONTHS(LAST_DAY(TO_DATE(sysdate)),-1) THEN A.AMT_2
                ELSE 0 END) AS TOTAL_AMT_2
FROM table_a a, table_b b, table_c c
WHERE a.p_id = b.p_id and
      b.pt_id = c.pt_id
GROUP BY a.p_id, b.p_name, c.p_descThe two case statements inside the COUNT return either a.m_id or NULL. A simplified test case is:
SQL> WITH t as (
2     SELECT 1 m_id, 9 dt FROM dual UNION ALL
3     SELECT 1 m_id, 6 dt FROM dual UNION ALL
4     SELECT 2 m_id, 9 dt FROM dual UNION ALL
5     SELECT 2 m_id, 6 dt FROM dual UNION ALL
6     SELECT 1 m_id, 5 dt FROM dual UNION ALL
7     SELECT 2 m_id, 5 dt FROM dual UNION ALL
8     SELECT null m_id, 9 dt FROM dual)
9 SELECT count(CASE WHEN dt BETWEEN 6 and 9 THEN m_id end) cid,
10         count(distinct CASE WHEN dt BETWEEN 6 and 9 THEN m_id end) cdid
11 FROM t;
       CID       CDID
         4          2I'm not entirely sure that you actually need the a.m_id IS NOT NULL predicate in the CASE statements, but I left it to be safe.
John

Logical Column Agreggation: Count Distinct

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