Error using Analytic function in reports

Hi,
I am trying to use Oracle analytic function (lag) in a report. But am getting the below error:
Encountered the symbol "(" when expecting one of the following:
,from into bulk
This is the code in the formula column:
function extend_lifeFormula return VARCHAR2 is
l_extend_life VARCHAR2(80);
l_life_in_months VARCHAR2(80);
l_asset_id NUMBER;
begin
SRW.REFERENCE(:P_BOOK_NAME);
SRW.REFERENCE(:ASSET_ID);
SELECT asset_id,
lag(life_in_months,1,0) over (PARTITION BY asset_id
ORDER BY transaction_header_id_in) Extend_Life
INTO l_asset_id,
l_life_in_months
FROM fa_books
WHERE book_type_code = 'US GAAP'
AND asset_id = 1;
return life_in_months;
end;
Has anyone experienced this error before? Does client pl/sql engine not support Analytic functions? The above query runs fine in SQL.
Thanks,
Ashish

From our version of 6i Reports Builder Help, I got ...
Oracle ORACLE PL/SQL V8.0.6.3.0 - Production
You may check yours.

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Thanks in advance.

can you try assign concatenated value to some xml element first, like
assign : <value>{fn:concat(a,b)}</value> to e.g. value
and then report key ./text() in variable $value
Edited by: AigarsP on Jun 12, 2012 4:12 AM

[b]Using Analytic functions...[/b]

Hi All,
I need help in writing a query using analytic functions.
Foll is my scenario. I have a table cust_points
CREATE TABLE cust_points
( cust_id varchar2(10),
pts_dt date,
reward_points number(3),
bal_points number(3)
insert into cust_points values ('ABC',01-MAY-2004',5, 15)
insert into cust_points values ('ABC',05-MAY-2004',3, 12)
insert into cust_points values ('ABC',09-MAY-2004',3, 9)
insert into cust_points values ('XYZ',02-MAY-2004',8, 4)
insert into cust_points values ('XYZ',03-MAY-2004',5, 1)
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I want a result set which shows for each customer, the sum of reward his/her points
but balance points as of the last date. So for the above I should have foll results
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ABC 11 9
XYZ 13 1
JKL 5 11
I having tried using last_value(), for eg
Select cust_id, sum(reward_points), last_value(bal_points) over (partition by cust_id)...but run into grouping errors.
Can anyone help ?

try this...
SELECT a.pkcol,
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FROM table1 a, table2 b, table3 c
WHERE a.pkcol = b.plcol(+)
AND a.pkcol = c.pkcol
GROUP BY a.pkcol;
SQL> select a.deptno,
2 nvl((select sum(sal) from test_emp b where a.deptno = b.deptno),0) col1,
3 nvl((select sum(comm) from test_emp b where a.deptno = b.deptno),0) col2
4 from test_dept a;
DEPTNO COL1 COL2
10 12786 0
20 13237 738
30 11217 2415
40 0 0
99 0 0
SQL> select a.deptno,
2 nvl(sum(b.sal),0) col1,
3 nvl(sum(b.comm),0) col2
4 from test_dept a,test_emp b
5 where a.deptno = b.deptno
6 group by a.deptno;
DEPTNO COL1 COL2
30 11217 2415
20 13237 738
10 12786 0
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2 nvl(sum(b.sal),0) col1,
3 nvl(sum(b.comm),0) col2
4 from test_dept a,test_emp b
5 where a.deptno = b.deptno(+)
6 group by a.deptno;
DEPTNO COL1 COL2
10 12786 0
20 13237 738
30 11217 2415
40 0 0
99 0 0
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To use "analytic function" at "recursive with clause"

http://docs.oracle.com/cd/E11882_01/server.112/e26088/statements_10002.htm#i2077142
The recursive member cannot contain any of the following elements:
・An aggregate function. However, analytic functions are permitted in the select list.
OK I will use analytic function at The recursive member :-)
SQL> select * from v$version;
BANNER
Oracle Database 11g Release 11.2.0.1.0 - Production
PL/SQL Release 11.2.0.1.0 - Production
CORE    11.2.0.1.0      Production
TNS for 32-bit Windows: Version 11.2.0.1.0 - Production
NLSRTL Version 11.2.0.1.0 - Production
SQL> with rec(Val,TotalRecCnt) as(
2 select 1,1 from dual
3 union all
4 select Val+1,count(*) over()
5    from rec
6   where Val+1 <= 5)
7 select * from rec;
select * from rec
ERROR at line 7:
ORA-32486: unsupported operation in recursive branch of recursive WITH clauseWhy ORA-32486 happen ?:|

Hi Aketi,
It works in 11.2.0.2, so it is probably a bug:
select * from v$version
BANNER
Oracle Database 11g Enterprise Edition Release 11.2.0.2.0 - 64bit Production
PL/SQL Release 11.2.0.2.0 - Production
CORE     11.2.0.2.0     Production
TNS for IBM/AIX RISC System/6000: Version 11.2.0.2.0 - Production
NLSRTL Version 11.2.0.2.0 - Production
with rec(Val,TotalRecCnt) as(
select 1,1 from dual
union all
select Val+1,count(*) over()
from rec
where Val+1 <= 5)
select * from rec
VAL                    TOTALRECCNT
1                      1
2                      1
3                      1
4                      1
5                      1                      Regards,
Bob

Help on Using Analytical Functions

I am hetting error when i use Analytical functions in Expressions
AVG( INGRP1.Test1 ) OVER (PARTITION BY INGRP1.Test2)
Error is as follows
Line 1, Col 28:
PLS-00103: Encountered the symbol "OVER" when expecting one of the following:
* & = - + ; < / > at in is mod remainder not rem
<an exponent (**)> <> or != or ~= >= <= <> and or like LIKE2_
LIKE4_ LIKEC_ between || multiset member SUBMULTISET_

Hi,
the syntax of this part of the sql statement is okay. Please post the complete statement to identify the error.
Sometimes oracle identifies the wrong point for the error.
Regards,
Detlef

Using analytical function to calculate concurrency between date range

Folks,
I'm trying to use analytical functions to come up with a query that gives me the
concurrency of jobs executing between a date range.
For example:
JOB100 - started at 9AM - stopped at 11AM
JOB200 - started at 10AM - stopped at 3PM
JOB300 - started at 12PM - stopped at 2PM
The query would tell me that JOB1 ran with a concurrency of 2 because JOB1 and JOB2
were running started and finished within the same time. JOB2 ran with the concurrency
of 3 because all jobs ran within its start and stop time. The output would look like this.
JOB START STOP CONCURRENCY
=== ==== ==== =========
100 9AM 11AM 2
200 10AM 3PM 3
300 12PM 2PM 2
I've been looking at this post, and this one if very similar...
Analytic functions using window date range
Here is the sample data..
CREATE TABLE TEST_JOB
( jobid NUMBER,
created_time DATE,
start_time DATE,
stop_time DATE
insert into TEST_JOB values (100, sysdate -1, to_date('05/04/08 09:00:00','MM/DD/YY hh24:mi:ss'), to_date('05/04/08 11:00:00','MM/DD/YY hh24:mi:ss'));
insert into TEST_JOB values (200, sysdate -1, to_date('05/04/08 10:00:00','MM/DD/YY hh24:mi:ss'), to_date('05/04/08 13:00:00','MM/DD/YY hh24:mi:ss'));
insert into TEST_JOB values (300, sysdate -1, to_date('05/04/08 12:00:00','MM/DD/YY hh24:mi:ss'), to_date('05/04/08 14:00:00','MM/DD/YY hh24:mi:ss'));
select * from test_job;
JOBID|CREATED_TIME |START_TIME |STOP_TIME
----------|--------------|--------------|--------------
100|05/04/08 09:28|05/04/08 09:00|05/04/08 11:00
200|05/04/08 09:28|05/04/08 10:00|05/04/08 13:00
300|05/04/08 09:28|05/04/08 12:00|05/04/08 14:00
Any help with this query would be greatly appreciated.
thanks.
-peter

after some checking the model rule wasn't working exactly as expected.
I believe it's working right now. I'm posting a self-contained example for completeness sake.I use 2 functions to convert back and forth between epoch unix timestamps, so
I'll post them here as well.
Like I said I think this works okay, but any feedback is always appreciated.
-peter
CREATE OR REPLACE FUNCTION date_to_epoch(p_dateval IN DATE)
RETURN NUMBER
AS
BEGIN
return (p_dateval - to_date('01/01/1970','MM/DD/YYYY')) * (24 * 3600);
END;
CREATE OR REPLACE FUNCTION epoch_to_date (p_epochval IN NUMBER DEFAULT 0)
RETURN DATE
AS
BEGIN
return to_date('01/01/1970','MM/DD/YYYY') + (( p_epochval) / (24 * 3600));
END;
DROP TABLE TEST_MODEL3 purge;
CREATE TABLE TEST_MODEL3
( jobid NUMBER,
start_time NUMBER,
end_time NUMBER);
insert into TEST_MODEL3
VALUES (300,date_to_epoch(to_date('05/07/2008 10:00','MM/DD/YYYY hh24:mi')),
date_to_epoch(to_date('05/07/2008 19:00','MM/DD/YYYY hh24:mi')));
insert into TEST_MODEL3
VALUES (200,date_to_epoch(to_date('05/07/2008 09:00','MM/DD/YYYY hh24:mi')),
date_to_epoch(to_date('05/07/2008 12:00','MM/DD/YYYY hh24:mi')));
insert into TEST_MODEL3
VALUES (400,date_to_epoch(to_date('05/07/2008 10:00','MM/DD/YYYY hh24:mi')),
date_to_epoch(to_date('05/07/2008 14:00','MM/DD/YYYY hh24:mi')));
insert into TEST_MODEL3
VALUES (500,date_to_epoch(to_date('05/07/2008 11:00','MM/DD/YYYY hh24:mi')),
date_to_epoch(to_date('05/07/2008 16:00','MM/DD/YYYY hh24:mi')));
insert into TEST_MODEL3
VALUES (600,date_to_epoch(to_date('05/07/2008 15:00','MM/DD/YYYY hh24:mi')),
date_to_epoch(to_date('05/07/2008 22:00','MM/DD/YYYY hh24:mi')));
insert into TEST_MODEL3
VALUES (100,date_to_epoch(to_date('05/07/2008 09:00','MM/DD/YYYY hh24:mi')),
date_to_epoch(to_date('05/07/2008 23:00','MM/DD/YYYY hh24:mi')));
commit;
SELECT jobid,
epoch_to_date(start_time)start_time,
epoch_to_date(end_time)end_time,
n concurrency
FROM TEST_MODEL3
MODEL
DIMENSION BY (start_time,end_time)
MEASURES (jobid,0 n)
(n[any,any]=
count(*)[start_time<= cv(start_time),end_time>=cv(start_time)]+
count(*)[start_time > cv(start_time) and start_time <= cv(end_time), end_time >= cv(start_time)]
ORDER BY start_time;
The results look like this:
JOBID|START_TIME|END_TIME |CONCURRENCY
----------|---------------|--------------|-------------------
100|05/07/08 09:00|05/07/08 23:00| 6
200|05/07/08 09:00|05/07/08 12:00| 5
300|05/07/08 10:00|05/07/08 19:00| 6
400|05/07/08 10:00|05/07/08 14:00| 5
500|05/07/08 11:00|05/07/08 16:00| 6
600|05/07/08 15:00|05/07/08 22:00| 4

How to use Analytic functions in Forms10g

Hi,
Can we use Analytic function in forms10g like Lead & Lag.
Thanks & Regards,

Use a db view as a data source of your form block ....
Greetings...
Sim

Using Analytic Functions

Hi all,
I am using ODI 11g(11.1.1.3.0) and I am trying to make an interface using analytic functions in the column mapping, something like below.
sum(salary) over (partition by .....)
The problem is that when ODI saw sum it assumes this as an aggregate function and puts group by. Is there any way to make ODI understand it is not an aggregate function?
I tried creating an option to specify whether it is analytic or not and updated IKM with no luck.
<%if ( odiRef.getUserExit("ANALYTIC").equals("1") ) { %>
<% } else { %>
<%=odiRef.getGrpBy(i)%>
<%=odiRef.getHaving(i)%>
<% } %>
Thanks in advance

Thanks for the reply.
But I think in ODI 11g getFrom() function is behaving differently, that is why it is not working.
When I check out the A.2.18 getFrom() Method from Substitution API Reference document, it says
Allows the retrieval of the SQL string of the FROM in the source SELECT clause for a given dataset. The FROM statement is built from tables and joins (and according to the SQL capabilities of the technologies) that are used in this dataset.
I think getfrom also retrieves group by clause, I create a step in IKM just with *<%=odiRef.getFrom(0)%>* and I can see that even that query generated has a group by clause

How to use analytic function with aggregate function

hello
can we use analytic function and aggrgate function in same qurey? i tried to find any example on Net but not get any example how both of these function works together. Any link or example plz share with me
Edited by: Oracle Studnet on Nov 15, 2009 10:29 PM

select
t1.region_name,
t2.division_name,
t3.month,
t3.amount mthly_sales,
max(t3.amount) over (partition by t1.region_name, t2.division_name)
max_mthly_sales
from
region t1,
division t2,
sales t3
where
t1.region_id=t3.region_id
and
t2.division_id=t3.division_id
and
t3.year=2004
Source:http://www.orafusion.com/art_anlytc.htm
Here max (aggregate) and over partition by (analytic) function is in same query. So it means we can use aggregate and analytic function in same query and more than one analytic function in same query also.
Hth
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Query for using "analytical functions" in DWH...

Dear team,
I would like to know if following task can be done using analytical functions...
If it can be done using other ways, please do share the ideas...
I have table as shown below..
Create Table t As
Select *
From
Select 12345 PRODUCT, 'W1' WEEK, 10000 SOH, 0 DEMAND, 0 SUPPLY,     0 EOH From dual Union All
Select 12345,         'W2',       0,         100,      50,        0 From dual Union All
Select 12345,         'W3',       0,         100,      50,        0 From dual Union All
Select 12345,         'W4',       0,         100,      50,        0 From dual
PRODUCT     WEEK     SOH     DEMAND     SUPPLY     EOH
12345     W1     10,000     0     0     10000
12345     W2     0     100     50     0
12345     W3     0     100     50     0
12345     W4     0     100     50     0
Now i want to calcuate EOH (ending on hand) quantity for W1...
This EOH for W1 becomes SOH (Starting on hand) for W2...and so on...till end of weeks
The formula is :- EOH = SOH - (DEMAND + SUPPLY)
The output should be as follows...
PRODUCT     WEEK     SOH     DEMAND     SUPPLY     EOH
12345     W1     10,000               10000
12345     W2     10,000     100     50     9950
12345     W3     9,950     100     50     9900
12345     W4     9,000     100     50     8950
Kindly share your ideas...

Nicloei W wrote:
Means SOH_AFTER_SUPPLY for W1, should be displayed under SOH FOR W2...i.e. SOH for W4 should be SOH_AFTER_SUPPLY for W3, right?
If yes, why are you expecting it to be 9000 for W4??
So in output should be...
PRODUCT WE        SOH     DEMAND     SUPPLY        EOH SOH_AFTER_SUPPLY
12345 W1      10000          0          0          0            10000
12345 W2      10000      100         50          0             9950
12345 W3      9950       100         50          0             *9900*
12345 W4      *9000*       100         50          0             9850
per logic you explained, shouldn't it be *9900* instead???
you could customize Martin Preiss's logic for your requirement :
SQL> with
2 data
3 As
4 (
5 Select 12345 PRODUCT, 'W1' WEEK, 10000 SOH, 0 DEMAND, 0 SUPPLY,   0 EOH Fom dual Union All
6 Select 12345,         'W2',       0,         100,      50,        0 From dal Union All
7 Select 12345,         'W3',       0,         100,      50,        0 From dal Union All
8 Select 12345,         'W4',       0,         100,      50,        0 From dual
9 )
10 Select Product
11 ,Week
12 , Sum(Soh) Over(Partition By Product Order By Week)- Sum(Supply) Over(Parttion By Product Order By Week)+Supply Soh
13 ,Demand
14 ,Supply
15 , Sum(Soh) Over(Partition By Product Order By Week)- Sum(Supply) Over(Partition By Product Order By Week) eoh
16 from data;
   PRODUCT WE        SOH     DEMAND     SUPPLY        EOH
     12345 W1      10000          0          0      10000
     12345 W2      10000        100         50       9950
     12345 W3       9950        100         50       9900
     12345 W4       9900        100         50       9850 Vivek L

Restrict Query Resultset which uses Analytic Function

Gents,
Problem Definition: Using Analytic Function, get Total sales for the Product P1
and Customer C1 [Total sales for the customer itself] in one line.
I want to restrict the ResultSet of the query to Product P1,
please look at the data below, queries and problems..
Data
Customer Product Qtr Sales
C1 P1 19991 100.00
C1 P1 19992 125.00
C1 P1 19993 175.00
C1 P1 19994 300.00
C1 P2 19991 100.00
C1 P2 19992 125.00
C1 P2 19993 175.00
C1 P2 19994 300.00
C2 P1 19991 100.00
C2 P1 19992 125.00
C2 P1 19993 175.00
C2 P1 19994 300.00
Problem, I want to display....
Customer Product ProdSales CustSales
C1 P1 700 1400
But Without using outer query, i.e. please look below for the query that
returns this reult with two select, I want this result in one query only..
Select * From ----*** want to avoid this... ***----
(Select Customer,Product,
Sum(Sales) ProdSales,
Sum(Sum(Sales)) Over(Partition By Customer) CustSales
From t1
Where customer='C1')
Where
Product='P1' ;
Also, I want to avoid Hard coding of P1 in the select clause....
I mean, I can do it in one shot/select, but look at the query below, it uses
P1 in the select clause, which is No No!! P1 is allowed only in Where or Having ..
Select Customer,Decode(Product, 'P1','P1','P1') Product,
Decode(Product,'P1',Sales,0) ProdSales,
Sum(Sum(Sales)) Over (Partition By Customer ) CustSales
From t1
Where customer='C1' ;
This will get me what I want, but as I said earlier, I want to avoid using P1 in the
Select clause..
Goal is to Avoid using
1-> Two Select/Outer Query/In Line Views
2-> Product 'P1' in the Select clause...
Thanks
-Dhaval Rasania

I don't understand goal number 1 of not using an inline view.
What is the harm?

Using analytic function to get the right output.

Dear all;
I have the following sample date below
create table temp_one
       id number(30),
      placeid varchar2(400),
      issuedate date,
      person varchar2(400),
      failures number(30),
      primary key(id)
insert into temp_one values (1, 'NY', to_date('03/04/2011', 'MM/DD/YYYY'), 'John', 3);
insert into temp_one values (2, 'NY', to_date('03/03/2011', 'MM/DD/YYYY'), 'Adam', 7);
insert into temp_one values (3, 'Mexico', to_date('03/04/2011', 'MM/DD/YYYY'), 'Wendy', 3);
insert into temp_one values (4, 'Mexico', to_date('03/14/2011', 'MM/DD/YYYY'), 'Gerry', 3);
insert into temp_one values (5, 'Mexico', to_date('03/15/2011', 'MM/DD/YYYY'), 'Zick', 9);
insert into temp_one values (6, 'London', to_date('03/16/2011', 'MM/DD/YYYY'), 'Mike', 8);this is output I desire
placeid       issueperiod                               failures
NY              02/28/2011 - 03/06/2011          10
Mexico       02/28/2011 - 03/06/2011           3
Mexico        03/14/2011 - 03/20/2011          12
London        03/14/2011 - 03/20/2011          8All help is appreciated. I will post my query as soon as I am able to think of a good logic for this...

hI,
user13328581 wrote:
... Kindly note, I am still learning how to use analytic functions.That doesn't matter; analytic functions won't help in this problem. The aggregate SUM function is all you need.
But what do you need to GROUP BY? What is each row of the result set going to represent? A placeid? Yes, each row will represent only one placedid, but it's going to be divided further. You want a separate row of output for every placeid and week, so you'll want to GROUP BY placeid and week. You don't want to GROUP BY the raw issuedate; that would put March 3 and March 4 into separate groups. And you don't want to GROUP BY failures; that would mean a row with 3 failures could never be in the same group as a row with 9 failures.
This gets the output you posted from the sample data you posted:
SELECT       placeid
,             TO_CHAR ( TRUNC (issuedate, 'IW')
              , 'MM/DD/YYYY'
            ) || ' - '|| TO_CHAR ( TRUNC (issuedate, 'IW') + 6
                                         , 'MM/DD/YYY'
                           )     AS issueperiod
,       SUM (failures)                  AS sumfailures
FROM        temp_one
GROUP BY placeid
,            TRUNC (issuedate, 'IW')
;You could use a sub-query to compute TRUNC (issuedate, 'IW') once. The code would be about as complicated, efficiency probably won't improve noticeably, and the the results would be the same.

Using analytic function in a view

Hello to all
Sorry If I use this thread
sql not merge using analytic functions
for my question,
From example you write and from Tom explain is not possible create a view on analytic function?
Thanks and sorry again

I think what you'll discover is that if you apply the function over the result set, the initial SQL might be quicker,
for example, this is a test I did with a large dictionary view:
select tp.Table_Name
      ,tp.Partition_Name
from
      select tbl.Table_Name         as Table_Name
            ,tbl.Partition_Date     as dt
            ,row_number() over (partition by dtp.table_Name order by dtp.Partition_Name desc) rn
      from (
            select /*+ all_rows */
                    dtp.Table_Name
                   ,dtp.Partition_name
            from    dba_tab_partitions dtp
            where   dtp.Partition_Name like 'Y____\_Q_\_M__\_D__' escape '\'
            and     dtp.Table_Owner     = 'APPS'
            and     dtp.Table_name      not like '%$%'
            and     dtp.Table_Name      like '%'
           ) tbl
    ) tp
where tp.rn = 1
select Table_Name
      ,Partition_Name
from (
      select /*+ all_rows */
              dtp.Table_Name
             ,row_number() over (partition by tbl.table_Name order by tbl.Partition_Name desc) rn
      from    dba_tab_partitions dtp
      where   dtp.Partition_Name like 'Y____\_Q_\_M__\_D__' escape '\'
      and     dtp.Table_Owner     = 'APPS'
      and     dtp.Table_name      not like '%$%'
      and     dtp.Table_Name      '%'
     ) tbl
where rn = 1I found the former to be quicker.
I think ask tom was saying a lot more, but included something similar,
Edited by: bluefrog on Jun 10, 2010 12:48 PM

Using analytical function - value with highest count

Hi
i have this table below
CREATE TABLE table1
( cust_name VARCHAR2 (10)
, txn_id NUMBER
, txn_date DATE
, country VARCHAR2 (10)
, flag number
, CONSTRAINT key1 UNIQUE (cust_name, txn_id)
INSERT INTO table1 (cust_name, txn_id, txn_date,country,flag) VALUES ('Peter', 9870,TO_DATE ('15-Jan-2011', 'DD-Mon-YYYY'), 'Iran', 1);
INSERT INTO table1 (cust_name, txn_id, txn_date,country,flag) VALUES ('Peter', 9871,TO_DATE ('16-Jan-2011', 'DD-Mon-YYYY'), 'China', 1);
INSERT INTO table1 (cust_name, txn_id, txn_date,country,flag) VALUES ('Peter', 9872,TO_DATE ('17-Jan-2011', 'DD-Mon-YYYY'), 'China', 1);
INSERT INTO table1 (cust_name, txn_id, txn_date,country,flag) VALUES ('Peter', 9873,TO_DATE ('18-Jan-2011', 'DD-Mon-YYYY'), 'Japan', 1);
INSERT INTO table1 (cust_name, txn_id, txn_date,country,flag) VALUES ('Peter', 9874,TO_DATE ('19-Jan-2011', 'DD-Mon-YYYY'), 'Japan', 1);
INSERT INTO table1 (cust_name, txn_id, txn_date,country,flag) VALUES ('Peter', 9875,TO_DATE ('20-Jan-2011', 'DD-Mon-YYYY'), 'Russia', 1);
INSERT INTO table1 (cust_name, txn_id, txn_date,country,flag) VALUES ('Peter', 9877,TO_DATE ('22-Jan-2011', 'DD-Mon-YYYY'), 'China', 0);
INSERT INTO table1 (cust_name, txn_id, txn_date,country,flag) VALUES ('Peter', 9878,TO_DATE ('26-Jan-2011', 'DD-Mon-YYYY'), 'Korea', 0);
INSERT INTO table1 (cust_name, txn_id, txn_date,country,flag) VALUES ('Peter', 9811,TO_DATE ('17-Jan-2011', 'DD-Mon-YYYY'), 'China', 0);
INSERT INTO table1 (cust_name, txn_id, txn_date,country,flag) VALUES ('Peter', 9854,TO_DATE ('13-Jan-2011', 'DD-Mon-YYYY'), 'Taiwan', 0);
The requirement is to create an additional column in the resultset with country name where the customer has done the maximum number of transactions
(with transaction flag 1). In case we have two or more countries tied with the same count, then we need to select the country (among the tied ones)
where the customer has done the last transaction (with transaction flag 1)
e.g. The count is 2 for both 'China' and 'Japan' for transaction flag 1 ,and the latest transaction is for 'Japan'. So the new column should contain 'Japan'
CUST_NAME TXN_ID TXN_DATE COUNTRY FLAG country_1
Peter 9811 17-JAN-11 China 0 Japan
Peter 9854 13-JAN-11 Taiwan 0 Japan
Peter 9870 15-JAN-11 Iran 1 Japan
Peter 9871 16-JAN-11 China 1 Japan
Peter 9872 17-JAN-11 China 1 Japan
Peter 9873 18-JAN-11 Japan 1 Japan
Peter 9874 19-JAN-11 Japan 1 Japan
Peter 9875 20-JAN-11 Russia 1 Japan
Peter 9877 22-JAN-11 China 0 Japan
Peter 9878 26-JAN-11 Korea 0 Japan
Please let me know how to accomplish this using analytical functions
Thanks
-Learnsequel

Does this work (not spent much time checking it)?
WITH ana AS (
SELECT cust_name, txn_id, txn_date, country, flag,
        Sum (flag)
            OVER (PARTITION BY cust_name, country)      n_trx,
        Max (CASE WHEN flag = 1 THEN txn_date END)
            OVER (PARTITION BY cust_name, country)      l_trx
FROM cnt_trx
SELECT cust_name, txn_id, txn_date, country, flag,
        First_Value (country) OVER (PARTITION BY cust_name ORDER BY n_trx DESC, l_trx DESC) top_cnt
FROM ana
CUST_NAME      TXN_ID TXN_DATE COUNTRY          FLAG TOP_CNT
Fred             9875 20-JAN-11 Russia              1 Russia
Fred             9874 19-JAN-11 Japan               1 Russia
Peter            9873 18-JAN-11 Japan               1 Japan
Peter            9874 19-JAN-11 Japan               1 Japan
Peter            9872 17-JAN-11 China               1 Japan
Peter            9871 16-JAN-11 China               1 Japan
Peter            9811 17-JAN-11 China               0 Japan
Peter            9877 22-JAN-11 China               0 Japan
Peter            9875 20-JAN-11 Russia              1 Japan
Peter            9870 15-JAN-11 Iran                1 Japan
Peter            9878 26-JAN-11 Korea               0 Japan
Peter            9854 13-JAN-11 Taiwan              0 Japan
12 rows selected.

Build interface using analytic functions twice

Hi all, tell me please is it possible to build interface using analytic functions twice, like:
select max(tt.val) from (
select id, sum(val) val
from (
select 1 id, 10 val from dual union all
select 2 id, 10 val from dual union all
select 2 id, 30 val from dual union all
select 2 id, 10 val from dual union all
select 3 id, 20 val from dual) t
group by id) tt
thanks in advance

HI,
Just a question...
You used only dual table. That correspond to the reality or is just as example?
I mean, won't physical table be used?
I believe you need that at target column, is that true?

Error using Analytic function in reports

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