Query rewrite using analytical functions

Hallo list,
can someone help me in rewriting this sql statment in a better way ?
select k.kos_aktnr, vpr.vorgang_id, vpr.vorgang_nr, vpr.vorgang_name, 0 as
vormonat, max((select sum (menge)
from
swp.kosten k1 where ressource_id = :1 and jahr = :2 and monat = :3 and tag =
1 and k.kos_aktnr = k1.kos_aktnr)),
max((select sum (menge) from swp.kosten
k1 where ressource_id = :4 and jahr = :5 and monat = :6 and tag = 2 and
k.kos_aktnr = k1.kos_aktnr)),
from swp.kosten k, sw.vorgang v, sw.vorgang vpr
WHERE v.vorgang_id = k.kos_aktnr AND v.projekt_id = vpr.vorgang_id AND
            v.ausblenden = 0 AND vpr.ausblenden = 0 AND v.vorgtypart_id <> 1 AND
            k.ressource_id = :94 AND k.jahr = :95 AND k.monat = :96 GROUP BY
            k.kos_aktnr, vpr.vorgang_id, vpr.vorgang_nr, vpr.vorgang_namei have this part with the ' max ' ecexute for each date this means ivae 30 statment with max function.
Basically this query retrieves the attendance hours for an employee.

[duplicate thread|http://forums.oracle.com/forums/thread.jspa?threadID=961297&tstart=0]

Similar Messages

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

How to Prioritize the Query Result Using Analytical Functions

hi
Edited by: prakash on May 20, 2013 1:42 AM

Use ROW_NUMBER
SQL> select PRVDR_LCTN_X_SPCLTY_SID,PRVDR_LCTN_IID,PRVDR_TYPE_X_SPCLTY_SID,STATUS_CID
2 from
3 (
4    select t.*,
5      row_number() over(partition by PRVDR_TYPE_X_SPCLTY_SID
6                        order by STATUS_CID) rn
7    from your_table t
8 )
9 where rn = 1;
PRVDR_LCTN_X_SPCLTY_SID PRVDR_LCTN_IID PRVDR_TYPE_X_SPCLTY_SID STATUS_CID
               75292110       10153920                75004770          1
               75291888       10153920                75004884          2
               75292112       10153920                75004916          1
               75292117       10153920                75004974          1

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

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.

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 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

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
Girish Sharma

[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 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.

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.

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

I want single update query without use the function.

I want to update sells_table selling_code field with max date product_code from product table.
In product table there is multiple product_code date wise.
I have been done it with below quey with the use of function but can we do it in only one update query
without use the function.
UPDATE sells_table
SET selling_code = MAXDATEPRODUCT(ctd_vpk_product_code)
WHERE NVL(update_product_flag,0) = 0 ;
CREATE OR REPLACE FUNCTION HVL.maxdateproduct (p_product IN VARCHAR2) RETURN NUMBER
IS
max_date_product VARCHAR2 (100);
BEGIN
BEGIN
SELECT NVL (TRIM (product_code), 0)
INTO max_date_product
FROM (SELECT product_code, xref_end_dt
FROM product
WHERE TO_NUMBER (p_product) = pr.item_id
ORDER BY xref_end_dt DESC)
WHERE ROWNUM = 1; -- It will return only one row - max date product code
EXCEPTION
WHEN OTHERS
THEN
RETURN 0;
END;
RETURN max_date_product;
END maxdateproduct;
Thanks in Advance.

Hi,
Something like this.
update setlls_table st
        set selling_code =(select nvl(trim(product_code)) from
                              (select product_code
                                      , rank() over (partition by item_id order by xref_end_dt DESC) rn
                                   from product
                               ) pr
                               where rn =1
                                     and pr.item_id = st.ctd_vpk_product_code
                           ) where NVL(update_product_flag,0) = 0 ;As such not tested due to lack of input sample.
Regards
Anurag Tibrewal.

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

Query rewrite using analytical functions

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