Need sql using analytical functions

Need to formulate this SQL:Please help -
EMP Table structure is:
ENAME
DEPTNO
SAL
Here:
CUMDEPTTOT – Running cumulative Total by Department
SALBYDEPT – Total salary by Department
CUMTOT – Running cumulative total
DEPTNO ENAME SAL CUMDEPTTOT SALBYDEPT CUMTOT
10 MILLER 1300 1300 8750 1300
10 CLARK 2450 3750 8750 3750
10 KING 5000 8750 8750 8750
Thanks

ravikumar.sv wrote:
This has been asked today....
I think you both are friends....
Re: Please provide SQL
follow up that thread...As I suspected, it's a homework question. {noformat}*sigh*{noformat}. Let's hope their tutor checks the internet for them asking the question and fails them.

Similar Messages

SQL using analytical function

Hi all,
I want an help in creating my SQL query to extract the data described below:
I have one table example test containing data like below:
ID     Desc     Status
1     T1          DEACTIVE
2     T2          ACTIVE
3     T3          SUCCESS
4     T4          DEACTIVE
The thing i want to do is selecting all lines with ACTIVE status in this table but is there is no ACTIVE status, my query will give me the last line with DEACTIVE status.
Can I do this in one query by using analytical function for example, if yes can yiu help me on thaht query.
regards,
Raluce

Hi, Raluce,
Here's one way to do that:
WITH got_r_num AS
    SELECT deptno, ename, job, hiredate
    ,       ROW_NUMBER () OVER ( PARTITION BY deptno
                                 ORDER BY      job
                                 ,             hiredate DESC
                               ) AS r_num
    FROM    scott.emp
    WHERE   job IN ('ANALYST', 'CLERK')
SELECT     deptno, ename, job, hiredate
FROM       got_r_num
WHERE      job     = 'ANALYST'
OR         r_num   = 1
ORDER BY   deptno
Since I don't have a sample version of your table, I used scott.emp to illustrate.
Output:
    DEPTNO ENAME      JOB       HIREDATE
        10 MILLER     CLERK     23-JAN-82
        20 SCOTT      ANALYST   19-APR-87
        20 FORD       ANALYST   03-DEC-81
        30 JAMES      CLERK     03-DEC-81
This query finds all ANALYSTs in each department, regardless of how many there are. (Deptno 20 happens to have 2 ANALYSTs.) If there is no ANALYST in a department, then the most recently hired CLERK is included. (Deptnos 10 and 30 don't have any ANALYSTs.)
This "partitions", or sub-divides, the table into separate units, one for each department. In the problem you posted, it looks like you want to operate in the entire table, without sub-dividing it in any way. To do that, just omit the PARTITION BY clause in the analytic ROW_NUMBER function, like this:
WITH got_r_num AS
    SELECT deptno, ename, job, hiredate
    ,       ROW_NUMBER () OVER ( -- PARTITION BY deptno
                                 ORDER BY      job
                                 ,             hiredate DESC
                               ) AS r_num
    FROM    scott.emp
    WHERE   job IN ('ANALYST', 'CLERK')
SELECT     deptno, ename, job, hiredate
FROM       got_r_num
WHERE      job     = 'ANALYST'
OR         r_num   = 1
ORDER BY   deptno

Is it possible using Analytical functions?

Hi,
   I have the following data
    Column1      Column2
    2005            500
    2006            500
    2007            500
    2008            500
Now, if I've some variable value as 800, then the output record should be
    Column1         Column2
    2008               500
    2007               300
    2006                  0
    2005                  0i.e. the Column2 value(order by column1 desc) is split to accommodate the variable passed.
Right now, it's being done in PL/SQL. Is it possible to do it in SQL using Analytical function?
Thanks,
Sundar
P.S: It doesnt have to be using analytical, if it can be achieved in a SQL, it's good.
Message was edited by:
Sundar M

Hi, a sample using analytical function SUM:
CREATE TABLE Source_Data
           ( Year NUMBER
           , Value NUMBER
BEGIN
   DELETE FROM Source_Data;
   FOR v_Cycle IN 1 .. 6
   LOOP
      INSERT
        INTO Source_Data
             Year
           , Value
      VALUES
             2000 + v_Cycle
           , 100 * v_Cycle
   END LOOP;
   COMMIT;
END;
VARIABLE v_Amount NUMBER
EXECUTE :v_Amount := 1200using the SUM, the previous values are totalized:
so
SELECT Year
     , Value Year_Value
     , :v_Amount Original_Amount
     , SUM(Value) OVER (ORDER BY Year DESC RANGE UNBOUNDED PRECEDING) Cumulative_Sum
     , DECODE(
               SIGN(:v_Amount - SUM(Value) OVER (ORDER BY Year DESC RANGE UNBOUNDED PRECEDING))
               , 1, Value              -- Positive number, more value can be subtract
               , GREATEST(Value - (SUM(Value) OVER (ORDER BY Year DESC RANGE UNBOUNDED PRECEDING) - :v_Amount), 0)
             )         Year_Quota
FROM Source_Data s
ORDER BY Year DESC
/will give
     YEAR YEAR_VALUE ORIGINAL_AMOUNT CUMULATIVE_SUM YEAR_QUOTA
     2006        600            1200            600        600
     2005        500            1200           1100        500
     2004        400            1200           1500        100
     2003        300            1200           1800          0
     2002        200            1200           2000          0
     2001        100            1200           2100          0You can add different conditions (PARTITION BY ..)
Hope this helps
Max

[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)
insert into cust_points values ('JKL',10-MAY-2004',5, 11)
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
cust_id reward_pts bal_points
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,
     nvl(SUM(b.col1),0) col1,
     nvl(SUM(b.col2),0) col2,
     nvl(SUM(b.col3),0) col3
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
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
10 12786 0
20 13237 738
30 11217 2415
40 0 0
99 0 0
SQL>

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

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

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?

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

Should I use Analytic functions ?

Hello,
I have a table rci_dates with the following structure (rci_id,visit_id,rci_name,rci_date).
A sample of data in this table is as given below.
1,101,'FIRST VISIT', '2010-MAY-01',
2,101,'FIRST VISIT', '2010-MAY-01'
3,101,'FIRST VISIT', '2010-MAY-01'
4,101,'FIRST VISIT', '2010-MAY-01'
5,102,'SECOND VISIT', '2010-JUN-01',
6,102,'SECOND VISIT', '2010-JUN-01'
7,102,'SECOND VISIT', '2010-JUN-01'
8,102,'SECOND VISIT', '2010-JUL-01'
I want to write a query which returns me the records which are similar to the record with rc_id =8 since the rci_date is different within the visit_id 102. Where as in Visit_id 101 the rci_dates are all same so it should not be displayed in the output returned by my query.
How can I do this ? Should I be using analytic functions. Can someone please let me know.
Thanks

ok i have created the table and inserted the data. but it appears that the data are the output you are expecting, they all the same visit_id.
SQL> CREATE TABLE RCI
2 (RCI_ID NUMBER(10) NOT NULL,
3   VISIT_ID NUMBER(10) NOT NULL,
4   RCI_NAME VARCHAR2(20 BYTE) NOT NULL,
5   DCI_DATE VARCHAR2(8 BYTE));
Table created
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14876540, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14876640, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14876740, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14876840, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14876940, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877040, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877140, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877240, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877240, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877640, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877740, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877840, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877940, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878040, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878140, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878240, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878340, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878440, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878540, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877640, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877740, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878340, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878540, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 17418240, 12140, 'SCREENING', '20000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 17418340, 12140, 'SCREENING', '20000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 17418440, 12140, 'SCREENING', '20000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878240, 12140, 'SCREENING', '20000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 18790240, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 21724540, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14876540, 12140, 'SCREENING', '20091015');
1 row inserted
SQL> commit;
Commit complete
SQL> select * from rci;
     RCI_ID    VISIT_ID RCI_NAME             DCI_DATE
   14876540       12140 SCREENING            19000101
   14876640       12140 SCREENING            19000101
   14876740       12140 SCREENING            19000101
   14876840       12140 SCREENING            19000101
   14876940       12140 SCREENING            19000101
   14877040       12140 SCREENING            19000101
   14877140       12140 SCREENING            19000101
   14877240       12140 SCREENING            19000101
   14877240       12140 SCREENING            19000101
   14877640       12140 SCREENING            19000101
   14877740       12140 SCREENING            19000101
   14877840       12140 SCREENING            19000101
   14877940       12140 SCREENING            19000101
   14878040       12140 SCREENING            19000101
   14878140       12140 SCREENING            19000101
   14878240       12140 SCREENING            19000101
   14878340       12140 SCREENING            19000101
   14878440       12140 SCREENING            19000101
   14878540       12140 SCREENING            19000101
   14877640       12140 SCREENING            19000101
   14877740       12140 SCREENING            19000101
   14878340       12140 SCREENING            19000101
   14878540       12140 SCREENING            19000101
   17418240       12140 SCREENING            20000101
   17418340       12140 SCREENING            20000101
   17418440       12140 SCREENING            20000101
   14878240       12140 SCREENING            20000101
   18790240       12140 SCREENING            19000101
   21724540       12140 SCREENING            19000101
   14876540       12140 SCREENING            20091015
30 rows selected
SQL> -- using the sample similar code that i have previously posted it returned all the rows.
SQL> select rci.*
2    from rci
3   where rci.visit_id in (select r1.visit_id
4                            from (select rci.visit_id,
5                                         count(*) over (partition by rci.visit_id, rci.dci_date order by rci.visit_id) rn
6                                    from rci) r1
7                            where r1.rn = 1)
8 order by rci.rci_id;
     RCI_ID    VISIT_ID RCI_NAME             DCI_DATE
   14876540       12140 SCREENING            20091015
   14876540       12140 SCREENING            19000101
   14876640       12140 SCREENING            19000101
   14876740       12140 SCREENING            19000101
   14876840       12140 SCREENING            19000101
   14876940       12140 SCREENING            19000101
   14877040       12140 SCREENING            19000101
   14877140       12140 SCREENING            19000101
   14877240       12140 SCREENING            19000101
   14877240       12140 SCREENING            19000101
   14877640       12140 SCREENING            19000101
   14877640       12140 SCREENING            19000101
   14877740       12140 SCREENING            19000101
   14877740       12140 SCREENING            19000101
   14877840       12140 SCREENING            19000101
   14877940       12140 SCREENING            19000101
   14878040       12140 SCREENING            19000101
   14878140       12140 SCREENING            19000101
   14878240       12140 SCREENING            19000101
   14878240       12140 SCREENING            20000101
   14878340       12140 SCREENING            19000101
   14878340       12140 SCREENING            19000101
   14878440       12140 SCREENING            19000101
   14878540       12140 SCREENING            19000101
   14878540       12140 SCREENING            19000101
   17418240       12140 SCREENING            20000101
   17418340       12140 SCREENING            20000101
   17418440       12140 SCREENING            20000101
   18790240       12140 SCREENING            19000101
   21724540       12140 SCREENING            19000101
30 rows selected
SQL> just as what frank have said it will be helpful if you post a sample output based on the original posting, that is in the first posting you have.

I need help with Analytic Function

Hi,
I have this little problem that I need help with.
My datafile has thousands of records that look like...
Client_Id Region Countries
[1] [1] [USA, Canada]
[1] [2] [Australia, France, Germany]
[1] [3] [China, India, Korea]
[1] [4] [Brazil, Mexico]
[8] [1] [USA, Canada]
[9] [1] [USA, Canada]
[9] [4] [Argentina, Brazil]
[13] [1] [USA, Canada]
[15] [1] [USA]
[15] [4] [Argentina, Brazil]
etc
My task is is to create a report with 2 columns - Client_Id and Countries, to look something like...
Client_Id Countries
[1] [USA, Canada, Australia, France, Germany, China, India, Korea, Brazil, Mexico]
[8] [USA, Canada]
[9] [USA, Canada, Argentina, Brazil]
[13] [USA, Canada]
[15] [USA, Argentina, Brazil]
etc.
How can I achieve this using Analytic Function(s)?
Thanks.
BDF

Hi,
That's called String Aggregation , and the following site shows many ways to do it:
http://www.oracle-base.com/articles/10g/StringAggregationTechniques.php
Which one should you use? That depends on which version of Oracle you're using, and your exact requirements.
For example, is order importatn? You said the results shoudl include:
CLIENT_ID COUNTRIES
1        USA, Canada, Australia, France, Germany, China, India, Korea, Brazil, Mexicobut would you be equally happy with
CLIENT_ID COUNTRIES
1        Australia, France, Germany, China, India, Korea, Brazil, Mexico, USA, Canadaor
CLIENT_ID COUNTRIES
1        Australia, France, Germany, USA, Canada, Brazil, Mexico, China, India, Korea?
Mwalimu wrote:
... How can I achieve this using Analytic Function(s)?The best solution may not involve analytic functions at all. Is that okay?
If you'd like help, post your best attempt, a little sample data (CREATE TABLE and INSERT statements), the results you want from that data, and an explanation of how you get those results from that data.
Always say which version of Oracle you're using.
Edited by: Frank Kulash on Aug 29, 2011 3:05 PM

How can rewrite the Query using Analytical functions ?

Hi,
I have the SQL script as shown below ,
SELECT cd.cardid, cd.cardno,TT.TRANSACTIONTYPECODE,TT.TRANSACTIONTYPEDESC DESCRIPTION,
SUM (NVL (CASE tt.transactiontypecode
WHEN 'LOAD_ACH'
THEN th.transactionamount
END, 0)
) AS load_ach,
SUM
(NVL (CASE tt.transactiontypecode
WHEN 'FUND_TRANSFER_RECEIVED'
THEN th.transactionamount
END,
0
) AS Transfersin,
( SUM (NVL (CASE tt.transactiontypecode
WHEN 'FTRNS'
THEN th.transactionamount
END,
0
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'SEND_MONEY'
THEN th.transactionamount
END, 0)
)) AS Transferout,
SUM (NVL (CASE tt.transactiontypecode
WHEN 'WITHDRAWAL_ACH'
THEN th.transactionamount
END, 0)
) AS withdrawal_ach,
SUM (NVL (CASE tt.transactiontypecode
WHEN 'WITHDRAWAL_CHECK'
THEN th.transactionamount
END, 0)
) AS withdrawal_check,
( SUM (NVL (CASE tt.transactiontypecode
WHEN 'WITHDRAWAL_CHECK_FEE'
THEN th.transactionamount
END,
0
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'REJECTED_ACH_LOAD_FEE'
THEN th.transactionamount
END,
0
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'WITHDRAWAL_ACH_REV'
THEN th.transactionamount
END,
0
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'WITHDRAWAL_CHECK_REV'
THEN th.transactionamount
END,
0
) +
SUM
(NVL (CASE tt.transactiontypecode
WHEN 'WITHDRAWAL_CHECK_FEE_REV'
THEN th.transactionamount
END,
0
) +
SUM
(NVL (CASE tt.transactiontypecode
WHEN 'REJECTED_ACH_LOAD_FEE_REV'
THEN th.transactionamount
END,
0
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'OVERDRAFT_FEE_REV'
THEN th.transactionamount
END, 0)
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'STOP_CHECK_FEE_REV'
THEN th.transactionamount
END,
0
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'LOAD_ACH_REV'
THEN th.transactionamount
END, 0)
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'OVERDRAFT_FEE'
THEN th.transactionamount
END, 0)
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'STOP_CHECK_FEE'
THEN th.transactionamount
END, 0)
)) AS Fee,
th.transactiondatetime
FROM carddetail cd,
transactionhistory th,
transactiontype tt,
(SELECT rmx_a.cardid, rmx_a.endingbalance prev_balance, rmx_a.NUMBEROFDAYS
FROM rmxactbalreport rmx_a,
(SELECT cardid, MAX (reportdate) reportdate
FROM rmxactbalreport
GROUP BY cardid) rmx_b
WHERE rmx_a.cardid = rmx_b.cardid AND rmx_a.reportdate = rmx_b.reportdate) a
WHERE th.transactiontypeid = tt.transactiontypeid
AND cd.cardid = th.cardid
AND cd.cardtype = 'P'
AND cd.cardid = a.cardid (+)
AND CD.CARDNO = '7116734387812758335'
--AND TT.TRANSACTIONTYPECODE = 'FUND_TRANSFER_RECEIVED'
GROUP BY cd.cardid, cd.cardno, numberofdays,th.transactiondatetime,tt.transactiontypecode,TT.TRANSACTIONTYPEDESC
Ouput of the above query is :
CARDID     CARDNO     TRANSACTIONTYPECODE     DESCRIPTION     LOAD_ACH     TRANSFERSIN     TRANSFEROUT     WITHDRAWAL_ACH     WITHDRAWAL_CHECK     FEE     TRANSACTIONDATETIME
6005     7116734387812758335     FUND_TRANSFER_RECEIVED     Fund Transfer Received     0     3.75     0     0     0     0     21/09/2007 11:15:38 AM
6005     7116734387812758335     FUND_TRANSFER_RECEIVED     Fund Transfer Received     0     272     0     0     0     0     05/10/2007 9:12:37 AM
6005     7116734387812758335     WITHDRAWAL_ACH     Withdraw Funds via ACH     0     0     0     300     0     0     24/10/2007 3:43:54 PM
6005     7116734387812758335     SEND_MONEY     Fund Transfer Sent     0     0     1     0     0     0     19/09/2007 1:17:48 PM
6005     7116734387812758335     FUND_TRANSFER_RECEIVED     Fund Transfer Received     0     1     0     0     0     0     18/09/2007 7:25:23 PM
6005     7116734387812758335     LOAD_ACH     Prepaid Deposit via ACH     300     0     0     0     0     0     02/10/2007 3:00:00 AM
I want the output like for Load_ACH there should be one record etc.,
Can any one help me , how can i rewrite the above query using analytical functions .,
Sekhar

Not sure of your requirements but this mayhelp reduce your code;
<untested>
SUM (
   CASE
   WHEN tt.transactiontypecode IN
      ('WITHDRAWAL_CHECK_FEE', 'REJECTED_ACH_LOAD_FEE', 'WITHDRAWAL_ACH_REV', 'WITHDRAWAL_CHECK_REV',
       'WITHDRAWAL_CHECK_FEE_REV', 'REJECTED_ACH_LOAD_FEE_REV', 'OVERDRAFT_FEE_REV','STOP_CHECK_FEE_REV',
       'LOAD_ACH_REV', 'OVERDRAFT_FEE', 'STOP_CHECK_FEE')
   THEN th.transactionamount
   ELSE 0) feeAlso, you might want to edit your post and use [pre] and [/pre] tags around your code for formatting.

Need sql using analytical functions

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