Replacing Oracle's FIRST_VALUE and LAST_VALUE analytical functions.

Hi,
Just to recap, in OBI 10.1.3.2.1, I am trying to find an alternative way to FIRST_VALUE and LAST_VALUE analytical functions used in Oracle. Somehow, I feel it's achievable. I would like to know answers to the following questions.
1. Is there any way of referring to a cell value and displaying it in other cells for a reference value?
For example, can I display the First Method of Travel for traveler 'ABC' and 'XYZ' for all the rows returned in the same column, respectively?
2. I tried RMIN, RMAX functions in the RDP but it does not accept "BY" clause (for example, RMIN(Transaction_Id BY Traveler) to define Lowest Sequence Id per traveler). Am I doing something wrong here? Why can a formula with "BY" clause be defined in Answers but not the RPD? The idea is to use this in Answers. This is in relation to my first question.
Could someone please let me know?
I understand that this thread that I have posted is related to something that can be done outside OBI, but still would like to know.
If anything is not clear please let me know.
Thanks,
Manoj.

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Oracle property path and arq property functions

Hi,
I am using Oracle Jena Adapter. My problem is about property paths on Sparql queries. When I tried to query ”SELECT * WHERE { ?t rdf:type owl:ObjectProperty. ?t rdfs:domain ?o. ?o owl:unionOf ?union. ?union rdf:rest*/rdf:first ?member. }” from ModelOracleSem it gives me parser error.
But, if i try it using jena in-memory model, it works perfectly as below code.
hybridGraph = OracleGraphWrapperForOntModel.getInstance(graph1);
model = ModelFactory.createModelForGraph(hybridGraph);
ontModel = ModelFactory.createOntologyModel(OntModelSpec.OWL_MEM, model);
I also tried arq’s list function as “?union list:member ?member”. it does not return any results from ModelOracleSem. But when i try it from jena in-memory model, it works perfectly again.
Can anyone help me to solve this issue?
Thanks,
Regards,

Hi Mustafa,
We have generated the following code snippet to execute the SPARQL query using a ModelOracleSem model:
String szQuery = " PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> "+
             " PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> " +
             " PREFIX owl:   <http://www.w3.org/2002/07/owl#> " +
            " select * where { " +
            " ?t rdf:type owl:ObjectProperty . " +
            " ?t rdfs:domain ?o . " +
            " ?o owl:unionOf ?union . " +
            " ?union rdf:rest*/rdf:first ?member ." +
    System.err.println("Create Oracle Connection");
    Oracle oracle = new Oracle(szJdbcURL, szUser, szPasswd);
    System.err.println("Create Oracle Model");
    ModelOracleSem oracleModel = ModelOracleSem.createOracleSemModel(
                                                            oracle, szModelName);
    oracleModel.removeAll();
    System.err.println("Populate model");
    String insertString =
            " PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> "+
            " PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> " +
            " PREFIX owl:   <http://www.w3.org/2002/07/owl#> " +
            " PREFIX urn:   <http://example/> " +
            " INSERT DATA "                                     +
            " { urn:objA rdf:type owl:ObjectProperty .                " +
            "   urn:objB rdf:type owl:ObjectProperty .                " +
            "   urn:objC rdf:type owl:ObjectProperty .                " +
            "   urn:objD rdf:type owl:ObjectProperty .                " +
            "   urn:objA rdfs:domain urn:dom1 .                " +
            "   urn:objB rdfs:domain urn:dom2 .                " +
            "   urn:objC rdfs:domain urn:dom3 .                " +
            "   urn:objD rdfs:domain urn:dom4 .                " +
            "   urn:dom1 owl:unionOf _:setA .                " +
            "   _:setA rdf:rest _:mem1 .                " +
            "   _:setA rdf:first urn:C1 .                " +
            "   _:mem1 rdf:first urn:C2 .                " +
            "   _:mem1 rdf:rest rdf:nil .                " +
    UpdateAction.parseExecute(insertString, oracleModel);
    System.err.println("Population done " + oracleModel.size());
    System.err.println("Execute query over OracleModel");
    Query query = QueryFactory.create(szQuery, Syntax.syntaxARQ);
    QueryExecution qexec = QueryExecutionFactory.create(query, oracleModel);
    ResultSet results = qexec.execSelect();
    ResultSetFormatter.out(System.out, results, query);
Can you execute this code snippet and see if you get the expected result?
| t                     | o                     | union | member              |
===============================================================================
| <http://example/objA> | <http://example/dom1> | _:b0 | <http://example/C1> |
| <http://example/objA> | <http://example/dom1> | _:b0 | <http://example/C2> |
Thanks,
Gaby

[8i] Subquery vs Multiple Analytic Functions

Does anyone have an idea which is better performance-wise?
I have a query that is 3 layers deep already with sub-queries. In the topmost level, I have a choice. I can calculate one analytic function twice, and one analytic function three times, or I can make the topmost level into a subquery, and calculate each analytic function only once.
In case it matters for this problem, this query is running on an 8i database.
A simplified example:
CREATE TABLE     my_data
(     order_no     CHAR(10)
,     seq_nbr          CHAR(4)
,     area_id          CHAR(4)
,     start_date     DATE
,     unit_time     NUMBER(7,2)
INSERT INTO my_data VALUES ('0000567890','0010','A001',TO_DATE('05/01/2000','mm/dd/yyyy'),0.34);
INSERT INTO my_data VALUES ('0000567890','0020','A001',TO_DATE('05/02/2000','mm/dd/yyyy'),0.78);
INSERT INTO my_data VALUES ('0000567890','0030','A002',TO_DATE('05/03/2000','mm/dd/yyyy'),0.91);
INSERT INTO my_data VALUES ('0000567890','0040','A003',TO_DATE('05/03/2000','mm/dd/yyyy'),0.27);
INSERT INTO my_data VALUES ('0000123456','0010','A001',TO_DATE('04/01/2001','mm/dd/yyyy'),0.39);
INSERT INTO my_data VALUES ('0000123456','0020','A001',TO_DATE('04/02/2001','mm/dd/yyyy'),0.98);
INSERT INTO my_data VALUES ('0000123456','0030','A002',TO_DATE('04/03/2001','mm/dd/yyyy'),0.77);
INSERT INTO my_data VALUES ('0000123456','0040','A003',TO_DATE('04/03/2001','mm/dd/yyyy'),0.28);
INSERT INTO my_data VALUES ('0000123123','0010','A001',TO_DATE('12/01/2001','mm/dd/yyyy'),0.31);
INSERT INTO my_data VALUES ('0000123123','0020','A001',TO_DATE('12/02/2001','mm/dd/yyyy'),0.86);
INSERT INTO my_data VALUES ('0000123123','0030','A002',TO_DATE('12/03/2001','mm/dd/yyyy'),0.82);
INSERT INTO my_data VALUES ('0000123123','0040','A003',TO_DATE('12/03/2001','mm/dd/yyyy'),0.23);
INSERT INTO my_data VALUES ('0000111111','0010','A001',TO_DATE('06/01/2002','mm/dd/yyyy'),0.29);
INSERT INTO my_data VALUES ('0000111111','0020','A001',TO_DATE('06/02/2002','mm/dd/yyyy'),0.84);
INSERT INTO my_data VALUES ('0000111111','0030','A002',TO_DATE('06/03/2002','mm/dd/yyyy'),0.78);
INSERT INTO my_data VALUES ('0000111111','0040','A003',TO_DATE('06/03/2002','mm/dd/yyyy'),0.26);
INSERT INTO my_data VALUES ('0000654321','0010','A001',TO_DATE('05/01/2003','mm/dd/yyyy'),0.28);
INSERT INTO my_data VALUES ('0000654321','0020','A001',TO_DATE('05/02/2003','mm/dd/yyyy'),0.88);
INSERT INTO my_data VALUES ('0000654321','0030','A002',TO_DATE('05/03/2003','mm/dd/yyyy'),0.75);
INSERT INTO my_data VALUES ('0000654321','0040','A003',TO_DATE('05/03/2003','mm/dd/yyyy'),0.25);My choices for the example are:
SELECT     area_id
,     period_start
,     period_end
,     AVG(tot_area_unit_hrs)
     OVER     (
          PARTITION BY     area_id
          ORDER BY     period_start
          RANGE BETWEEN     period_end - period_start     PRECEDING
                AND     CURRENT ROW
     STDDEV(tot_area_unit_hrs)
     OVER     (
          PARTITION BY     area_id
          ORDER BY     period_start
          RANGE BETWEEN     period_end - period_start     PRECEDING
                AND     CURRENT ROW
          )           AS lo_unit_time
,     AVG(tot_area_unit_hrs)
     OVER     (
          PARTITION BY     area_id
          ORDER BY     period_start
          RANGE BETWEEN     period_end - period_start     PRECEDING
                AND     CURRENT ROW
          )               AS avg_unit_time
,     AVG(tot_area_unit_hrs)
     OVER     (
          PARTITION BY     area_id
          ORDER BY     period_start
          RANGE BETWEEN     period_end - period_start     PRECEDING
                AND     CURRENT ROW
          )               +
     STDDEV(tot_area_unit_hrs)
     OVER     (
          PARTITION BY     area_id
          ORDER BY     period_start
          RANGE BETWEEN     period_end - period_start     PRECEDING
                AND     CURRENT ROW
          )           AS hi_unit_time
FROM     (
     SELECT     order_no
     ,     area_id
     ,     ADD_MONTHS(MIN(start_date),-24)+1     AS period_start
     ,     MIN(start_date)                    AS period_end
     ,     SUM(unit_time)                    AS tot_area_unit_hrs
     FROM     my_data
     GROUP BY     order_no
     ,          area_id
ORDER BY     area_id
,          period_end
;or
SELECT     area_id
,     period_start
,     period_end
,     avg_unit_time - stdev_unit_time     AS lo_unit_time
,     avg_unit_time
,     avg_unit_time + stdev_unit_time     AS hi_unit_time
FROM     (
     SELECT     area_id
     ,     period_start
     ,     period_end
     ,     STDDEV(tot_area_unit_hrs)
          OVER     (
               PARTITION BY     area_id
               ORDER BY     period_start
               RANGE BETWEEN     period_end - period_start     PRECEDING
                     AND     CURRENT ROW
               )           AS stdev_unit_time
     ,     AVG(tot_area_unit_hrs)
          OVER     (
               PARTITION BY     area_id
               ORDER BY     period_start
               RANGE BETWEEN     period_end - period_start     PRECEDING
                     AND     CURRENT ROW
               )               AS avg_unit_time
     FROM     (
          SELECT     order_no
          ,     area_id
          ,     ADD_MONTHS(MIN(start_date),-24)+1     AS period_start
          ,     MIN(start_date)                    AS period_end
          ,     SUM(unit_time)                    AS tot_area_unit_hrs
          FROM     my_data
          GROUP BY     order_no
          ,          area_id
ORDER BY     area_id
,          period_end
;My gut instinct would be that the 2nd option is faster (with the sub-query), but before I try this on my actual data set which is much larger, I'd like a second opinion. I don't want to accidentally start running a "neverending" query.

Sorry for the delay in response here... I was busy deleting 39 GB of trace files, because some silly person (hangs head in shame) accidentally set TRACE_LEVEL_CLIENT=SUPPORT months ago and forgot to turn it off, and didn't notice until her hard drive was full and she couldn't save a file.....
Anyway...
@Dev
For the real query...
option 1 explain plan:
OPERATION          OPTIONS          OBJECT_NODE   OBJECT_OWNER   OBJECT_NAME   OBJECT_INSTANCE   OBJECT_TYPE   OPTIMIZER      ID   PARENT_ID   POSITION   COST   CARDINALITY   BYTES
SELECT STATEMENT   REMOTE                                                                                      HINT: CHOOSE   0                6076       6076   1             91
SORT               ORDER BY                                                                                                   1    0           1          6076   1             91
WINDOW             SORT                                                                                                       2    1           1                 1             91
SORT               GROUP BY                                                                                                   3    2           1          6076   1             91
FILTER                                                                                                                        4    3           1
NESTED LOOPS                                                                                                                  5    4           1          6071   1             91
TABLE ACCESS       FULL             DB8I.WORLD    ASCHEMA        DETAILS       2                                              6    5           1          6068   1             50
INDEX              RANGE SCAN       DB8I.WORLD    ASCHEMA        ORDERS_IX3                      UNIQUE        ANALYZED       7    5           2          3      141930        5819130
TABLE ACCESS       BY INDEX ROWID   DB8I.WORLD    ASCHEMA        DETAILS       3                                              8    4           2          7      1             44
INDEX              RANGE SCAN       DB8I.WORLD    ASCHEMA        DETAILS_IX1                     NON-UNIQUE    ANALYZED       9    8           1          3      1                       option 2 explain plan:
OPERATION          OPTIONS    OBJECT_NODE   OBJECT_OWNER   OBJECT_NAME   OBJECT_INSTANCE   OBJECT_TYPE   OPTIMIZER      ID   PARENT_ID   POSITION   COST   CARDINALITY   BYTES
SELECT STATEMENT                                                                                         HINT: CHOOSE   0                2777       2777   96            14208
SORT               ORDER BY                                                                                             1    0           1          2777   96            14208
VIEW                                        LOCALUSER                    1                                              2    1           1          2776   96            14208
WINDOW             SORT                                                                                                 3    2           1          2776   96            26400
HASH               GROUP BY                                                                                             4    3           1          2776   96            26400
FILTER                                                                                                                  5    4           1
REMOTE                        DB8I                                                         REMOTE                       6    5           1          1908   386           59830
REMOTE                        DB8I                         DETAILS                         REMOTE                       7    5           2          4      1             129     You should know, in order to get explain plan on these queries, I have to run them via a database link to the 8i database through XE 10g on my local machine, as I don't have access to run explain plan on the remote database itself. I've never seen my local user name appear before in an explain plan run this way, but it did in the one for option #2 (subquery), so I'd guess that wouldn't be the explain plan I'd get if I ran it just in the 8i database. I also find it really odd that the ORDERS table doesn't seem to be referenced in the 2nd explain plan... I do think that's still going to be my best option though, so I'm going to try it and hope it doesn't take too long.
@Frank Kulash
Agreed. That's what I'll try, and I also think that I can't put the analytic function in with the aggregates, without having to do some additional computations in that sub-query, which I think would defeat the purpose of putting them there in the first place.

EVALUATE in OBIEE with Analytic function LAST_VALUE

Hi,
I'm trying to use EVALUATE with analytic function LAST_VALUE but it is giving me error below:
[nQSError: 17001] Oracle Error code: 30483, message: ORA-30483: window functions are not allowed here at OCI call OCIStmtExecute. [nQSError: 17010] SQL statement preparation failed. (HY000)
Thanks
Kumar.

Hi Kumar,
The ORA error tells me that this is something conveyed by the oracle database but not the BI Server. In this case, the BI server might have fired the incorrect query onto the DB and you might want to check what's wrong with it too.
The LAST_VALUE is an analytic function which works over a set/partition of records. Request you to refer to the semantics at http://docs.oracle.com/cd/B19306_01/server.102/b14200/functions073.htm and see if it is violating any rules here. You may want to post the physical sql here too to check.
Hope this helps.
Thank you,
Dhar

OLAP Expression Analytical Functions and NA Values

Hello,
I am trying to use the SUM and MAX functions over a hierarchy where there are potentially NA values. I believe in OLAP DML, the natural behavior is to skip these values. Can a skip be accomplished with either the SUM or MAX OLAP Expression Syntax functions?
Cheers!

Pre-requisites:
===============
Time dimension with level=DAY.... i have restricted data to 1 month approx.. 20100101 to 20100201 (32 days).
Measure of interest - a (say)
Time Dimension attribute which indicates WEEKDAY.... if you have END_DATE attribute with date datatype so we can extract the DAY (MON/TUE/WED/...) from it and decipher wkday/wkend status for DAY.
Sort time as per END_DATE ..
Take care of other dimensions during testing... restrict all other dimensions of cube to single value. Final formula would be independent of other dimensions but this helps development/testing.
Step 1:
======
"Firm up the required design in olap dml
"rpr down time
" w 10 heading 't long' time_long_description
" w 10 heading 't end date' time_end_date
" w 20 heading 'Day Type' convert(time_end_date text 'DY')
" a
NOTE: version 1 of moving total
" heading 'moving minus 2 all' movingtotal(a, -2, 0, 1, time status)
" w 20 heading 'Day Type' convert(time_end_date text 'DY')
" heading 'a wkday' if convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' then a else na
NOTE: version 2 of moving total
" heading 'moving minus 2 wkday' movingtotal(a, -2, 0, 1, time convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN')
" w 20 heading 'Day Type' convert(time_end_date text 'DY')
" heading 'a wkday non-na' if convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' and a ne na then a else na
NOTE: version 3 of moving total
" heading 'moving minus 2 wkday non-na' movingtotal(a, -2, 0, 1, time convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' and a ne na)
OLAP DML Command:
rpr down time w 10 heading 't long' time_long_description w 10 heading 't end date' time_end_date w 20 heading 'Day Type' convert(time_end_date text 'DY') a heading 'moving minus 2 all' movingtotal(a, -2, 0, 1, time status) w 20 heading 'Day Type' convert(time_end_date text 'DY') heading 'a wkday' if convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' then a else na heading 'moving minus 2 wkday' movingtotal(a, -2, 0, 1, time convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN') w 20 heading 'Day Type' convert(time_end_date text 'DY') heading 'a wkday non-na' if convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' and a ne na then a else na heading 'moving minus 2 wkday non-na' movingtotal(a, -2, 0, 1, time convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' and a ne na)
Step 2:
======
"Define additional measure to contain the required/desired formula implementing the business requirements (version 3 above)
" create formula AF1 which points to last column... i.e. OLAP_DML_EXPRESSION
dfn af1 formula movingtotal(a, -2, 0, 1, time convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' and a ne na)
"NOTE: Do this via AWM using calculated member with template type = OLAP_DML_EXPRESSION so that the cube view for cube contains a column for measure AF1
OLAP DML Command:
rpr down time w 10 heading 't long' time_long_description w 10 heading 't end date' time_end_date w 20 heading 'Day Type' convert(time_end_date text 'DY') a heading 'a wkday non-na' if convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' and a ne na then a else na heading 'moving minus 2 wkday non-na (AF1)' af1
->
Step 3:
=======
Extend Oracle OLAP with regular SQL functionality like SQL ANALYTICAL functions to fill up the gaps for intermediate week days like DAY_20100104 (TUE), DAY_20100105 (WED) etc.
Use: SQL Analytical Function LAST_VALUE() in query.. i.e. in report or query.. dont use AF1 but use LAST_VALUE(af1).... as below pseudo-code:
LAST_VALUE(cube_view.af1) over (partition by <product, organization, ... non-time dimensions> order by <DAY_KEY_Col> range unbounded preceeding and current row)
HTH
Shankar

HTMLDB 1.6 and "order by" in analytic functions

In HTMLDB 1.6, oracle 10g, when i enter the string "order by" in the region source of a report of the type "sql query (pl/sql function body returning sql query", I get
1 error has occurred
* Your query can't include an "ORDER BY" clause when having column heading sorting enabled.
I understand the reason for this error, but unfortunately i need this for an analytic function:
row_number() over (partition by ... order by ...)
It seems that the check is performed by simply looking for the string "order by" in the "region source" (in fact the error fires even if that string is contained within a comment).
I know possible workarounds (eg creating a view and select'ing from it), i just wanted to let you know.
Regards
Alberto

Another one under the 'obvious route' category:
Seems that the ORDER BY check is apparentl for ORDER<space>BY... so simply adding extra whitespace between ORDER and BY bypasses the check (at least in 2.1.0.00.39).
To make it a bit more obious that a separation is intended, an empty comment, i.e. ORDER/*/BY*, works nicely
Edited by: mcstock on Nov 19, 2008 10:29 AM

Grouping error in Oracle's analytic function PERCENTILE_CONT()

Hi,
I have a question regarding the usage of Oracle's analytic function PERCENTILE_CONT(). The underlying time data in the table is of hourly granularity and I want to fetch average, peak values for the day along with 80th percentile for that day. For the sake of clarification I am only posting relevant portion of the query.
Any idea how to rewrite the query and achieve the same objective?
SELECT   TRUNC (sdd.ts) AS ts,
         max(sdd.maxvalue) AS max_value, avg(sdd.avgvalue) AS avg_value,
         PERCENTILE_CONT(0.80) WITHIN GROUP (ORDER BY sdd.avgvalue ASC) OVER (PARTITION BY pm.sysid,trunc(sdd.ts)) as Percentile_Cont_AVG
FROM     XYZ
WHERE
          XYZ
GROUP BY TRUNC (sdd.ts)
ORDER BY TRUNC (sdd.ts)
Oracle Error:
ERROR at line 5:
ORA-00979: not a GROUP BY expression

You probably mixed up the aggregate and analytical versin of PERCENTILE_CONT.
The below should work, but i dont know if it produces the desireed results.
SELECT   TRUNC (sdd.ts) AS ts,
         max(sdd.maxvalue) AS max_value, avg(sdd.avgvalue) AS avg_value,
         PERCENTILE_CONT(0.80) WITHIN GROUP (ORDER BY sdd.avgvalue ASC) as Percentile_Cont_AVG
FROM     XYZ
sorry, what is this where clause for??
WHERE
          XYZ
GROUP BY TRUNC (sdd.ts)
ORDER BY TRUNC (sdd.ts) Edited by: chris227 on 26.03.2013 05:45

Understanding row_number() and using it in an analytic function

Dear all;
I have been playing around with row_number and trying to understand how to use it and yet I still cant figure it out...
I have the following code below
create table Employee(
    ID                 VARCHAR2(4 BYTE)         NOT NULL,
   First_Name         VARCHAR2(10 BYTE),
   Last_Name          VARCHAR2(10 BYTE),
    Start_Date         DATE,
    End_Date           DATE,
     Salary             Number(8,2),
   City               VARCHAR2(10 BYTE),
    Description        VARCHAR2(15 BYTE)
insert into Employee(ID, First_Name, Last_Name, Start_Date,                     End_Date,                       Salary, City,       Description)
             values ('01','Jason',    'Martin', to_date('19960725','YYYYMMDD'), to_date('20060725','YYYYMMDD'), 1234.56, 'Toronto', 'Programmer');
insert into Employee(ID, First_Name, Last_Name, Start_Date,                     End_Date,                       Salary, City,       Description)
              values('02','Alison',   'Mathews', to_date('19760321','YYYYMMDD'), to_date('19860221','YYYYMMDD'), 6661.78, 'Vancouver','Tester')
insert into Employee(ID, First_Name, Last_Name, Start_Date,                     End_Date,                       Salary, City,       Description)
             values('03','James',    'Smith',   to_date('19781212','YYYYMMDD'), to_date('19900315','YYYYMMDD'), 6544.78, 'Vancouver','Tester')
insert into Employee(ID, First_Name, Last_Name, Start_Date,                     End_Date,                       Salary, City,       Description)
              values('04','Celia',    'Rice',    to_date('19821024','YYYYMMDD'), to_date('19990421','YYYYMMDD'), 2344.78, 'Vancouver','Manager')
insert into Employee(ID, First_Name, Last_Name, Start_Date,                     End_Date,                       Salary, City,       Description)
              values('05','Robert',   'Black',   to_date('19840115','YYYYMMDD'), to_date('19980808','YYYYMMDD'), 2334.78, 'Vancouver','Tester')
insert into Employee(ID, First_Name, Last_Name, Start_Date,                     End_Date,                       Salary, City,        Description)
              values('06','Linda',    'Green',   to_date('19870730','YYYYMMDD'), to_date('19960104','YYYYMMDD'), 4322.78,'New York', 'Tester')
insert into Employee(ID, First_Name, Last_Name, Start_Date,                     End_Date,                       Salary, City,        Description)
              values('07','David',    'Larry',   to_date('19901231','YYYYMMDD'), to_date('19980212','YYYYMMDD'), 7897.78,'New York', 'Manager')
insert into Employee(ID, First_Name, Last_Name, Start_Date,                     End_Date,                       Salary, City,        Description)
               values('08','James',    'Cat',     to_date('19960917','YYYYMMDD'), to_date('20020415','YYYYMMDD'), 1232.78,'Vancouver', 'Tester')I did a simple select statement
select * from Employee e
and it returns this below
ID   FIRST_NAME LAST_NAME START_DAT END_DATE      SALARY CITY       DESCRIPTION
01   Jason      Martin     25-JUL-96 25-JUL-06    1234.56 Toronto    Programmer
02   Alison     Mathews    21-MAR-76 21-FEB-86    6661.78 Vancouver Tester
03   James      Smith      12-DEC-78 15-MAR-90    6544.78 Vancouver Tester
04   Celia      Rice       24-OCT-82 21-APR-99    2344.78 Vancouver Manager
05   Robert     Black      15-JAN-84 08-AUG-98    2334.78 Vancouver Tester
06   Linda      Green      30-JUL-87 04-JAN-96    4322.78 New York   Tester
07   David      Larry      31-DEC-90 12-FEB-98    7897.78 New York   Manager
08   James      Cat        17-SEP-96 15-APR-02    1232.78 Vancouver TesterI wrote another select statement with row_number. see below
SELECT first_name, last_name, salary, city, description, id,
   ROW_NUMBER() OVER(PARTITION BY description ORDER BY city desc) "Test#"
   FROM employee
   and I get this result
First_name last_name   Salary         City             Description         ID         Test#
Celina          Rice         2344.78      Vancouver    Manager             04          1
David          Larry         7897.78      New York    Manager             07          2
Jason          Martin       1234.56      Toronto      Programmer        01          1
Alison         Mathews    6661.78      Vancouver   Tester               02          1
James         Cat           1232.78      Vancouver    Tester              08          2
Robert        Black         2334.78     Vancouver     Tester              05          3
James        Smith         6544.78     Vancouver     Tester              03          4
Linda         Green        4322.78      New York      Tester             06           5
I understand the partition by which means basically for each associated group a unique number wiill be assigned for that row, so in this case since tester is one group, manager is another group, and programmer is another group then tester gets its own unique number for each row, manager as well and etc.What is throwing me off is the order by and how this numbering are assigned. why is
1 assigned to Alison Mathews for the tester group and 2 assigned to James Cat and 3 assigned Robert Black
I apologize if this is a stupid question, i have tried reading about it online and looking at the oracle documentation but that still dont fully understand why.

user13328581 wrote:
understanding row_number() and using it in an analytic functionROW_NUMBER () IS an analytic fucntion. Are you trying to use the results of ROW_NUMBER in another analytic function? If so, you need a sub-query. Analuytic functions can't be nested within other analytic functions.
...I have the following code below
... I did a simple select statementThanks for posting all that! It's really helpful.
... and I get this result
First_name last_name   Salary         City             Description         ID         Test#
Celina          Rice         2344.78      Vancouver    Manager             04          1
David          Larry         7897.78      New York    Manager             07          2
Jason          Martin       1234.56      Toronto      Programmer        01          1
Alison         Mathews    6661.78      Vancouver   Tester               02          1
James         Cat           1232.78      Vancouver    Tester              08          2
Robert        Black         2334.78     Vancouver     Tester              05          3
James        Smith         6544.78     Vancouver     Tester              03          4
Linda         Green        4322.78      New York      Tester             06           5... What is throwing me off is the order by and how this numbering are assigned. why is
1 assigned to Alison Mathews for the tester group and 2 assigned to James Cat and 3 assigned Robert Black That's determined by the analytic ORDER BY clause. Yiou said "ORDER BY city desc", so a row where city='Vancouver' will get a lower namber than one where city='New York', since 'Vancouver' comes after 'New York' in alphabetic order.
If you have several rows that all have the same city, then you can be sure that ROW_NUMBER will assign them consecutive numbers, but it's arbitrary which one of them will be lowest and which highest. For example, you have 5 'Tester's: 4 from Vancouver and 1 from New York. There's no particular reason why the one with first_name='Alison' got assinge 1, and 'James' got #2. If you run the same query again, without changing the table at all, then 'Robert' might be #1. It's certain that the 4 Vancouver rows will be assigned numbers 1 through 4, but there's no way of telling which of those 4 rows will get which of those 4 numbers.
Similar to a query's ORDER BY clause, the analytic ORDER BY clause can have two or more expressions. The N-th one will only be considered if there was a tie for all (N-1) earlier ones. For example "ORDER BY city DESC, last_name, first_name" would mena 'Vancouver' comes before 'New York', but, if multiple rows all have city='Vancouver', last_name would determine the order: 'Black' would get a lower number than 'Cat'. If you had multiple rows with city='Vancouver' and last_name='Black', then the order would be determined by first_name.

Hide duplicate row and analytic functions

Hi all,
I have to count how many customers have two particular product on the same area.
Table cols are:
AREA
PRODUCT_CODE (PK)
CUSTOMER_ID (PK)
QTA
The query is:
select distinct area, count(customer_id) over(PARTITION BY area)
from all_products
where product_code in ('BC01007', 'BC01004')
group by area, customer_id
having ( sum(decode(FPP.PRODOTTO_CODE,'BC01007',qta,0)) ) > 0)
and ( sum(decode(FPP.PRODOTTO_CODE,'BC01004',qta,0)) ) > 0);
In SQL*PLUS works fine, but in Oracle Discoverer I can't get distinct results also if I chek "Hide duplicate rows" in Table Layout .
Anybody have another way to get distinct results for analytic function results?
Thanks in advance,
Giuseppe

The query in Disco is exactly that I've post before.
Results are there:
AREA.........................................C1
01704 - AREA VR NORD..............3
01704 - AREA VR NORD..............3
01704 - AREA VR NORD..............3
01705 - AREA VR SUD.................1
02702 - AREA EMILIA NORD........1
If I check "hide duplicate row" in layout option results didn't change.
If I add distinct clause manually in SQL*PLUS the query become:
SELECT distinct o141151.AREA as E141152,COUNT(o141151.CUSTOMER_ID) OVER(PARTITION BY o141151.AREA ) as C_1
FROM BPN.ALL_PRODUCTS o141151
WHERE (o141151.PRODUCT_CODE IN ('BC01006','BC01007','BC01004'))
GROUP BY o141151.AREA,o141151.CUSTOMER_ID
HAVING (( SUM(DECODE(o141151.PRODUCT_CODE,'BC01006',1,0)) ) > 0 AND ( SUM(DECODE(o141151.PRODUCT_CODE,'BC01004',1,0)) ) > 0)
and the results are not duplicate.
AREA.........................................C1
01704 - AREA VR NORD..............3
01705 - AREA VR SUD.................1
02702 - AREA EMILIA NORD........1
There is any other way to force distinct clause in Discoverer?
Thank you
Giuseppe

Oracle Analytic function tuning

Hi all,
Oracle Database 10g Enterprise Edition Release 10.2.0.3.0 - 64bi
PL/SQL Release 10.2.0.3.0 - Production
CORE 10.2.0.3.0 Production
TNS for IBM/AIX RISC System/6000: Version 10.2.0.3.0 - Productio
NLSRTL Version 10.2.0.3.0 - Production
I have a query which has analytic function uses large space on temporary tablespace resulting in direct path temp read and direct path temp write wait events taking too much time. Is there any way to tune such query?
Thanks in advance.

user9074365 wrote:
Hi all,
Oracle Database 10g Enterprise Edition Release 10.2.0.3.0 - 64bi
PL/SQL Release 10.2.0.3.0 - Production
CORE 10.2.0.3.0 Production
TNS for IBM/AIX RISC System/6000: Version 10.2.0.3.0 - Productio
NLSRTL Version 10.2.0.3.0 - Production
I have a query which has analytic function uses large space on temporary tablespace resulting in direct path temp read and direct path temp write wait events taking too much time. Is there any way to tune such query?
With your version of Oracle, and high-volumes of data going through analytic function, it's likely that this blog note applies. You may need an upgrade or special patch. http://jonathanlewis.wordpress.com/2009/09/07/analytic-agony/
Regards
Jonathan Lewis

Advantages and disadvantages of Analytical function

Plz list out the advantages and disadvantages of normal queries and queries using analytical function (Performance wise)

I'm not sure how you wish to compare?
Analytical functions give you functionality that cannot otherwise be achieved easily in a lot of cases. They can introduce some performance degredation to a query but you have to compare on a query by query basis to determine if analytical functions or otherwise are the best solution for the issue. If it were as simple as saying that analytical functions are always slower than doing it without analytical functions, then Oracle wouldn't bother introducing them into the language.

Analytic function and aggregate function

What are analytic function and aggregate function. What is difference between them?

hi,
Analytic Functions :----------
Analytic functions compute an aggregate value based on a group of rows. They differ from aggregate functions in that they return multiple rows for each group. The group of rows is called a window and is defined by the analytic_clause. For each row, a sliding window of rows is defined. The window determines the range of rows used to perform the calculations for the current row. Window sizes can be based on either a physical number of rows or a logical interval such as time.
Analytic functions are the last set of operations performed in a query except for the final ORDER BY clause. All joins and all WHERE, GROUP BY, and HAVING clauses are completed before the analytic functions are processed. Therefore, analytic functions can appear only in the select list or ORDER BY clause.
Analytic functions are commonly used to compute cumulative, moving, centered, and reporting aggregates.
Aggregate Functions :----------
Aggregate functions return a single result row based on groups of rows, rather than on single rows. Aggregate functions can appear in select lists and in ORDER BY and HAVING clauses. They are commonly used with the GROUP BY clause in a SELECT statement, where Oracle Database divides the rows of a queried table or view into groups. In a query containing a GROUP BY clause, the elements of the select list can be aggregate functions, GROUP BY expressions, constants, or expressions involving one of these. Oracle applies the aggregate functions to each group of rows and returns a single result row for each group.
If you omit the GROUP BY clause, then Oracle applies aggregate functions in the select list to all the rows in the queried table or view. You use aggregate functions in the HAVING clause to eliminate groups from the output based on the results of the aggregate functions, rather than on the values of the individual rows of the queried table or view.
let me know if you are feeling any problem in understanding.
thanks.
Edited by: varun4dba on Jan 27, 2011 3:32 PM

Help with Oracle Analytic Function scenario

Hi,
I am new to analytic functions and was wondering if someone could help me with the data scenario below. I have a table with the following data
COLUMN A COLUMN B COLUMN C
13368834 34323021 100
13368835 34438258 50
13368834 34438258 50
13368835 34323021 100
The output I want is
COLUMN A COLUMN B COLUMN C
13368834 34323021 100
13368835 34438258 50
A simple DISTINCT won't give me the desired output so i was wondering if there is any way that I can get the result using ANALYTIC FUNCTIONS and DISTINCT ..
Any help will be greatly appreciated.
Thanks.

Hi,
Welcome to the forum!
Whenever you have a question, please post your sample data in a form that people can use to re-create the problem and test their solutions.
For example:
CREATE TABLE     table_x
(      columna     NUMBER
,      columnb     NUMBER
,      columnc     NUMBER
INSERT INTO table_x (columna, columnb, columnc) VALUES (13368834, 34323021, 100);
INSERT INTO table_x (columna, columnb, columnc) VALUES (13368835, 34438258, 50);
INSERT INTO table_x (columna, columnb, columnc) VALUES (13368834, 34438258, 50);
INSERT INTO table_x (columna, columnb, columnc) VALUES (13368835, 34323021, 100);Do you want something that works in your version or Oracle? Of course you do! So tell us which version that is.
How do you get the results that you want? Explain what each row of output represents. It looks like
the 1st row contains the 1st distinct value from each column (where "first" means descending order for columnc, and ascending order for the others),
the 2nd row contains the 2nd distinct value,
the 3rd row contains the 3rd distinct value, and so on.
If that's what you want, here's one way to get it (in Oracle 9 and up):
WITH     got_nums     AS
     SELECT     columna, columnb, columnc
     ,     DENSE_RANK () OVER (ORDER BY columna        )     AS a_num
     ,     DENSE_RANK () OVER (ORDER BY columnb        )     AS b_num
     ,     DENSE_RANK () OVER (ORDER BY columnc DESC)     AS c_num
     FROM     table_x
SELECT       MAX (a.columna)          AS columna
,       MAX (b.columnb)          AS columnb
,       MAX (c.columnc)          AS columnc
FROM              got_nums     a
FULL OUTER JOIN got_nums     b     ON     b.b_num     =           a.a_num
FULL OUTER JOIN got_nums     c     ON     c.c_num     = COALESCE (a.a_num, b.b_num)
GROUP BY COALESCE (a.a_num, b.b_num, c.c_num)
ORDER BY COALESCE (a.a_num, b.b_num, c.c_num)
;I've been trying to find a good name for this type of query. The best I've heard so far is "Prix Fixe Query", named after the menus where you get a choice of soups (listed in one column), appetizers (in another column), main dishes (in a 3rd column), and so on. The items on the first row don't necessaily have any relationship to each other.
The solution does not assume that there are the same number of distinct items in each column.
For example, if you add this row to the sample data:
INSERT INTO table_x (columna, columnb, columnc) VALUES (13368835, 34323021, 99);which is a copy of the last row, except that there is a completely new value for columnc, then the output is:
` COLUMNA    COLUMNB    COLUMNC
13368834   34323021        100
13368835   34438258         99
                              50starting in Oracle 11, you can also do this with an unpivot-pivot query.

Replacing Oracle EBS FND Attachment functionality with UCM

I am new to Oracle UCM and wondering about Replacing Oracle EBS FND Attachment functionality (Paper Clip in EBS forms) with UCM. Can we achieve this by simply defining the Attachment Repository using System Administrator Responsibility in EBS? Can you share some documentation on this?
If we have to customize the forms to re-direct the document repository from FND to UCM, please share the steps to do so.

Didn't see the link in your post. may have been stripped.
if you want to use the ebs native attachment lists, what we've done is used a custom bpel composite to load items into the appropriate entity in the fnd_documents and all of those other related ebs tables. this takes webcenter out of it for the most part. you could also load links, similar to the imaging solution's approach. this way, again, uses the ebs attachments, but stores the image in IPM (in the imaging case, that is). there is a link loaded into the fnd tables.
if you want to leverage the ebs-side attachment lists, managed attachments may not be the approach you want to take. You may want to look into the imaging solution or creating a custom process.
-ryan

Reports 6i and analytical function

hi
I have this query which wrks fine in TOAD
SELECT rvt.receipt_num srv_no, rvt.supplier supplier,
                rvt.transaction_date srv_date, inv.segment1 item_no,
                rvt.item_desc item_description, hrov.NAME,
                (   SUBSTR (v.standard_industry_class, 1, 1)
                 || '-'
                 || po_headers.segment1
                 || '-'
                 || TO_CHAR (po_headers.creation_date, 'RRRR')
                ) po_no,
                po_headers.creation_date_disp po_date,
                      ( (rvt.currency_conversion_rate * po_lines.unit_price)
                 * rvt.transact_qty
                )aMOUNT ,
----Analytic function used here
        SUM(          ( (rvt.currency_conversion_rate * po_lines.unit_price)
                 * rvt.transact_qty)) over(partition by hrov.NAME) SUM_AMOUNT,
                (SELECT SUM (mot.on_hand)
                   FROM mtl_onhand_total_mwb_v mot
                  WHERE inv.inventory_item_id = mot.inventory_item_id
                    -- AND INV.ORGANIZATION_ID=MOT.ORGANIZATION_ID
                    AND loc.inventory_location_id = mot.locator_id
                    AND loc.organization_id = mot.organization_id
                    AND rvt.locator_id = mot.locator_id) onhand
           FROM rcv_vrc_txs_v rvt,
                mtl_system_items_b inv,
                mtl_item_locations loc,
                hr_organization_units_v hrov,
                po_headers_v po_headers,
                ap_vendors_v v,
                po_lines_v po_lines
          WHERE inv.inventory_item_id(+) = rvt.item_id
            AND po_headers.vendor_id = v.vendor_id
            AND rvt.po_line_id = po_lines.po_line_id
            AND rvt.po_header_id = po_lines.po_header_id
            AND rvt.po_header_id = po_headers.po_header_id
            AND rvt.supplier_id = v.vendor_id
            AND inv.organization_id = hrov.organization_id
            AND rvt.transaction_type = 'DELIVER'
            AND rvt.inspection_status_code <> 'REJECTED'
            AND rvt.organization_id = inv.organization_id(+)
            AND to_char(to_date(rvt.transaction_date, 'DD/MM/YYYY'), 'DD-MON-YYYY') BETWEEN (:p_from_date)
                                                 AND NVL (:p_to_date,
                                                          :p_from_date
            AND rvt.locator_id = loc.physical_location_id(+)
            AND transaction_id NOT IN (
                   SELECT parent_transaction_id
                     FROM rcv_vrc_txs_v rvtd
                    WHERE rvt.item_id = rvtd.item_id
                      AND rvtd.transaction_type IN
                                  ('RETURN TO RECEIVING', 'RETURN TO VENDOR'))
                                  GROUP BY rvt.receipt_num , rvt.supplier ,
                rvt.transaction_date , inv.segment1 ,
                rvt.item_desc , hrov.NAME,v.standard_industry_clasS,po_headers.segment1,po_headers.creation_datE,
                po_headers.creation_date_disp,inv.inventory_item_iD,loc.inventory_location_id,loc.organization_id,
                rvt.locator_iD,rvt.currency_conversion_rate,po_lines.unit_price, rvt.transact_qty
but it gives blank page in reports 6i
could it be that reports 6i donot support analytical functionskindly guide another alternaive
thanking in advance
Edited by: makdutakdu on Mar 25, 2012 2:22 PM

hi
will the view be like
create view S_Amount as SELECT rvt.receipt_num srv_no, rvt.supplier supplier,
                rvt.transaction_date srv_date, inv.segment1 item_no,
                rvt.item_desc item_description, hrov.NAME,
                (   SUBSTR (v.standard_industry_class, 1, 1)
                 || '-'
                 || po_headers.segment1
                 || '-'
                 || TO_CHAR (po_headers.creation_date, 'RRRR')
                ) po_no,
                po_headers.creation_date_disp po_date,
                      ( (rvt.currency_conversion_rate * po_lines.unit_price)
                 * rvt.transact_qty
                )aMOUNT ,
----Analytic function used here
        SUM(          ( (rvt.currency_conversion_rate * po_lines.unit_price)
                 * rvt.transact_qty)) over(partition by hrov.NAME) SUM_AMOUNT,
                (SELECT SUM (mot.on_hand)
                   FROM mtl_onhand_total_mwb_v mot
                  WHERE inv.inventory_item_id = mot.inventory_item_id
                    -- AND INV.ORGANIZATION_ID=MOT.ORGANIZATION_ID
                    AND loc.inventory_location_id = mot.locator_id
                    AND loc.organization_id = mot.organization_id
                    AND rvt.locator_id = mot.locator_id) onhand
           FROM rcv_vrc_txs_v rvt,
                mtl_system_items_b inv,
                mtl_item_locations loc,
                hr_organization_units_v hrov,
                po_headers_v po_headers,
                ap_vendors_v v,
                po_lines_v po_lines
          WHERE inv.inventory_item_id(+) = rvt.item_id
            AND po_headers.vendor_id = v.vendor_id
            AND rvt.po_line_id = po_lines.po_line_id
            AND rvt.po_header_id = po_lines.po_header_id
            AND rvt.po_header_id = po_headers.po_header_id
            AND rvt.supplier_id = v.vendor_id
            AND inv.organization_id = hrov.organization_id
            AND rvt.transaction_type = 'DELIVER'
            AND rvt.inspection_status_code <> 'REJECTED'
            AND rvt.organization_id = inv.organization_id(+)
                       AND rvt.locator_id = loc.physical_location_id(+)
            AND transaction_id NOT IN (
                   SELECT parent_transaction_id
                     FROM rcv_vrc_txs_v rvtd
                    WHERE rvt.item_id = rvtd.item_id
                      AND rvtd.transaction_type IN
                                  ('RETURN TO RECEIVING', 'RETURN TO VENDOR'))
                                  GROUP BY rvt.receipt_num , rvt.supplier ,
                rvt.transaction_date , inv.segment1 ,
                rvt.item_desc , hrov.NAME,v.standard_industry_clasS,po_headers.segment1,po_headers.creation_datE,
                po_headers.creation_date_disp,inv.inventory_item_iD,loc.inventory_location_id,loc.organization_id,
                rvt.locator_iD,rvt.currency_conversion_rate,po_lines.unit_price, rvt.transact_qtyis this correct ? i mean i have not included the bind parameters in the view ..moreover shoud this view be joined with all the columns in the from clause of the original query?
kindly guide
thanking in advance

Replacing Oracle's FIRST_VALUE and LAST_VALUE analytical functions.

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