Count (*) As Analytic Function....

Hi,
There is an example - in Oracle Doc 10g titled as SQL Reference- about the count sql function ....
SELECT last_name, salary,
   COUNT(*) OVER (ORDER BY salary RANGE BETWEEN 50 PRECEDING
      AND 150 FOLLOWING) AS mov_count FROM employees;which for each employee in the employees table,displays the moving count of employees earning salaries in the range 50 less than through 150 greater than the employee's salary.
Isn't it possible to refer to static values in the RANGE BETWWEN .... AND format...??? Such as...
SELECT last_name, salary,
   COUNT(*) OVER (ORDER BY salary RANGE BETWEEN 100
      AND 1500) AS mov_count FROM employees;The above query , displays the error ORA-00905..
Is this possible to modify the query and make it syntactically correct..???
Regards and thanks a lot,
Simon

Hi ,
I know the solution you have given me ..... I was just wondering if instead of writing this:
SELECT last_name, salary, COUNT(*) OVER (ORDER BY salary RANGE BETWEEN 50 PRECEDING AND 150 FOLLOWING) AS mov_count FROM employees;I could write the following.....
SELECT last_name, salary, COUNT(*) OVER (ORDER BY salary RANGE BETWEEN 500 AND 1500) AS mov_count FROM employees;The difference is only in the syntax of SQL statement....static values in place of dynamic for each row ...implying by the format RANGE BETWEEN 50 PRECEDING AND 150 FOLLOWING.
Thanks , anyway for your time...
Regards,
Simon

Similar Messages

Analytic function to count rows based on Special criteria

Hi
I have the following query with analytic function but wrong results on the last column COUNT.
Please help me to achive the required result.Need to change the way how I select the last column.
1)I am getting the output order by b.sequence_no column . This is a must.
2)COUNT Column :
I don't want the total count based on thor column hence there is no point in grouping by that column.
The actual requirement to achieve COUNT is:
2a -If in the next row, if either the THOR and LOC combination changes to a new value, then COUNT=1
(In other words, if it is different from the following row)
2b-If the values of THOR and LOC repeats in the following row, then the count should be the total of all those same value rows until the rows become different.
(In this case 2b-WHERE THE ROWS ARE SAME- also I only want to show these same rows only once. This is shown in the "MY REQUIRED OUTPUT) .
My present query:
select    r.name REGION ,
          p.name PT,
          do.name DELOFF,
          ro.name ROUTE,
decode(th.thorfare_name,'OSIUNKNOWN',NULL,th.thorfare_name)
           THOR,
         l.name LOC ,
          b.sequence_no SEQ,
           CASE WHEN th.thorfare_name = LAG (th.thorfare_name)
            OVER (order by b.sequence_no)
            or th.thorfare_name = LEAD (th.thorfare_name)
            OVER (order by b.sequence_no)
            THEN COUNT(b.sequence_no) OVER (partition by r.name,th.thorfare_name,l.name order BY b.sequence_no
          ELSE 1
          END COUNT
from   t_regions r,t_post_towns p,t_delivery_offices do, t_routes ro, t_counties c,t_head_offices ho,
t_buildings b,t_thoroughfares th,t_localities l
where   th.thorfare_id = b.thorfare_id
and    nvl(b.invalid,'N')='N'
and    b.route_id=ro.route_id(+)
and    b.locality_id =l.locality_id(+)
and    ro.delivery_office_id=do.delivery_office_id(+)
and    do.post_town_id = p.post_town_id(+)
and    p.ho_id=ho.ho_id(+)
and     ho.county_id = c.county_id(+)
and     c.region_id = r.region_id(+)
and    r.name='NAAS'
and    do.DELIVERY_OFFICE_id= &&DELIVERY_OFFICE_id
and    ro.route_id=3405
group by r.name,p.name,do.name,ro.name,th.thorfare_name,l.name,b.sequence_no
ORDER BY ro.name,b.sequence_no;My incorrect output[PART OF DATA]:
>
REGION     PT DELOFF ROUTE     THOR LOC SEQ COUNT
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 DUBLINRD CEL 1 1
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 NEWTOWNRD CEL 2 1
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 PRIMHILL CEL 4 1
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 NEWTOWNRD CEL 5 1
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 THEGROVE CEL 2 1
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 NEWTOWNRD CEL 7 3
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 NEWTOWNRD CEL 8 4
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 NEWTOWNRD CEL 9 5
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 NEWTOWNRD CEL 10 6
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 NEWTOWNRD CEL 11 7
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 NEWTOWNRD CEL 12 8
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 DUBLINRD CEL 15 2
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 DUBLINRD CEL 19 3
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 DUBLINRD CEL 24 4
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 DUBLINRD CEL 29 5
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 DUBLINRD CEL 34 6
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 DUBLINRD CEL 39 7
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 DUBLINRD CEL 42 2
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 PRIMHILL CEL 43 2
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 PRIMHILL CEL 44 3
My required output[PART OF DATA]-Please compare with the above.:
>
REGION     PT DELOFF ROUTE     THOR LOC COUNT
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 DUBLINRD CEL 1
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 NEWTOWNRD CEL 1
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 PRIMHILL CEL 1
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 NEWTOWNRD CEL 1
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 THEGROVE CEL 1
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 NEWTOWNRD CEL 6
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 DUBLINRD CEL 7
NAAS     NAAS MAYNOOTH     MAYNOOTHR010 PRIMHILL CEL 2
NOTE :Count as 1 is correctly coming.
But where there is same rows and I want to take the total count on them, I am not getting.
Pls pls help.
Thanks
Edited by: Krithi on 04-Nov-2010 05:28

Nicosa wrote:
Hi,
Can you give us some sample data (create table + inserts orders) to play with ?
Considering your output, I'm not even sure you need analytic count.Yes sure.
I am describing the query again here with 3 tables now to make this understand better.
Given below are the create table statements and insert statements for these 3 tables.
These tables are - BULDINGSV,THORV and LOCV
CREATE TABLE BUILDINGSV
BUILDING_ID                  NUMBER(10)       NOT NULL,
INVALID                      VARCHAR2(1 BYTE),
ROUTE_ID                     NUMBER(10),
LOCALITY_ID                  NUMBER(10),
SEQUENCE_NO                  NUMBER(4),
THORFARE_ID                  NUMBER(10) NOT NULL
CREATE TABLE THORV
THORFARE_ID            NUMBER(10)             NOT NULL,
THORFARE_NAME          VARCHAR2(40 BYTE)      NOT NULL
CREATE TABLE LOCV
LOCALITY_ID            NUMBER(10)             NOT NULL,
NAME                   VARCHAR2(40 BYTE)      NOT NULL);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002372, 'N', 3405, 37382613, 5, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002363, 'N', 3405, 37382613, 57, 9002364);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002362, 'N', 3405, 37382613, 56, 9002364);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002360, 'N', 3405, 37382613, 52, 9002364);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002358, 'N', 3405, 37382613, 1, 9002364);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002240, 'N', 3405, 37382613, 6, 9002284);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002229, 'N', 3405, 37382613, 66, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002228, 'N', 3405, 37382613, 65, 35291872);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002226, 'N', 3405, 37382613, 62, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002222, 'N', 3405, 37382613, 43, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002217, 'N', 3405, 37382613, 125, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002221, 'N', 3405, 37382613, 58, 9002364);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002214, 'N', 3405, 37382613, 128, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (33363182, 'N', 3405, 37382613, 114, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (33363185, 'N', 3405, 37382613, 115, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002371, 'N', 3405, 37382613, 2, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (27003329, 'N', 3405, 37382613, 415, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002359, 'N', 3405, 37382613, 15, 9002364);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002224, 'N', 3405, 37382613, 61, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (27003318, 'N', 3405, 37382613, 411, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (27003326, 'N', 3405, 37382613, 412, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (27003327, 'N', 3405, 37382613, 413, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (27003328, 'N', 3405, 37382613, 414, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (27003330, 'N', 3405, 37382613, 416, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (27003331, 'N', 3405, 37382613, 417, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (27003332, 'N', 3405, 37382613, 410, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (27004795, 'N', 3405, 37382613, 514, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (27004807, 'N', 3405, 37382613, 515, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (59002227, 'N', 3405, 37382613, 64, 35291872);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (33230805, 'N', 3405, 37382613, 44, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (33231027, 'N', 3405, 37382613, 7, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (33231058, 'N', 3405, 37382613, 9, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (33231078, 'N', 3405, 37382613, 10, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (33231087, 'N', 3405, 37382613, 11, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (33231093, 'N', 3405, 37382613, 12, 9002375);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (33229890, 'N', 3405, 37382613, 55, 9002364);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561996, 'N', 3405, 34224751, 544, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561997, 'N', 3405, 34224751, 543, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561998, 'N', 3405, 34224751, 555, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562000, 'N', 3405, 34224751, 541, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562001, 'N', 3405, 34224751, 538, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562028, 'N', 3405, 35417256, 525, 0);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562031, 'N', 3405, 35417256, 518, 35417271);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562032, 'N', 3405, 35417256, 519, 35417271);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562033, 'N', 3405, 35417256, 523, 35417271);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561939, 'N', 3405, 34224751, 551, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561940, 'N', 3405, 34224751, 552, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561941, 'N', 3405, 34224751, 553, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561942, 'N', 3405, 35417256, 536, 0);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561943, 'N', 3405, 35417256, 537, 0);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561970, 'N', 3405, 35417256, 522, 35417271);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561972, 'N', 3405, 35417256, 527, 35417271);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561974, 'N', 3405, 35417256, 530, 35417271);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561975, 'N', 3405, 35417256, 531, 35417271);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561980, 'N', 3405, 34224751, 575, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561981, 'N', 3405, 34224751, 574, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561983, 'N', 3405, 34224751, 571, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561984, 'N', 3405, 34224751, 570, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561985, 'N', 3405, 34224751, 568, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561986, 'N', 3405, 34224751, 567, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561987, 'N', 3405, 34224751, 566, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561989, 'N', 3405, 34224751, 563, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561990, 'N', 3405, 34224751, 562, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561991, 'N', 3405, 34224751, 560, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561992, 'N', 3405, 34224751, 559, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561993, 'N', 3405, 34224751, 558, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561994, 'N', 3405, 34224751, 548, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80561995, 'N', 3405, 34224751, 546, 35417360);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562160, 'N', 3405, 37382613, 139, 35291878);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562161, 'N', 3405, 37382613, 140, 35291878);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562162, 'N', 3405, 37382613, 141, 35291878);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562163, 'N', 3405, 37382613, 142, 35291878);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562164, 'N', 3405, 37382613, 143, 35291878);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562165, 'N', 3405, 37382613, 145, 35291878);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562166, 'N', 3405, 37382613, 100, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562167, 'N', 3405, 37382613, 102, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562171, 'N', 3405, 37382613, 107, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562172, 'N', 3405, 37382613, 108, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562174, 'N', 3405, 37382613, 110, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562175, 'N', 3405, 37382613, 111, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562176, 'N', 3405, 37382613, 112, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562177, 'N', 3405, 37382613, 113, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562182, 'N', 3405, 37382613, 123, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562183, 'N', 3405, 37382613, 121, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562184, 'N', 3405, 37382613, 120, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562185, 'N', 3405, 37382613, 118, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562186, 'N', 3405, 37382613, 117, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562187, 'N', 3405, 37382613, 116, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562189, 'N', 3405, 37382613, 95, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562190, 'N', 3405, 37382613, 94, 35291883);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562213, 'N', 3405, 37382613, 89, 35291872);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (80562240, 'N', 3405, 35417256, 516, 35417271);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (35329559, 'N', 3405, 35329152, 443, 35329551);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (35329560, 'N', 3405, 35329152, 444, 35329551);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (35329562, 'N', 3405, 35329152, 446, 35329551);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (35329109, 'N', 3405, 35329152, 433, 35329181);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (35329169, 'N', 3405, 35329152, 434, 35329181);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (35329557, 'N', 3405, 35329152, 441, 35329551);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (35329558, 'N', 3405, 35329152, 442, 35329551);
Insert into BUILDINGSV
   (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
Values
   (35329191, 'N', 3405, 35329152, 436, 35329181);
COMMIT;
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (0, 'OSIUNKNOWN');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (9002284, 'THE GROVE');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (9002364, 'DUBLIN ROAD');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (9002375, 'NEWTOWN ROAD');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (35291872, 'HAZELHATCH ROAD');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (35291878, 'SIMMONSTOWN PARK');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (35291883, 'PRIMROSE HILL');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (35329181, 'THE COPSE');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (35329213, 'THE COURT');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (35329529, 'THE CRESCENT');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (35329551, 'THE LAWNS');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (35329580, 'THE DRIVE');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (35417271, 'TEMPLEMILLS COTTAGES');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (35417360, 'CHELMSFORD');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (36500023, 'THE CLOSE');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (36500101, 'THE GREEN');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (37375569, 'THE DOWNS');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (37375595, 'THE PARK');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (37375754, 'THE AVENUE');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (37375781, 'THE VIEW');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (37376046, 'THE CRESCENT');
Insert into THORV
   (THORFARE_ID, THORFARE_NAME)
Values
   (37376048, 'THE GLADE');
COMMIT;
Insert into LOCV
   (LOCALITY_ID, NAME)
Values
   (34224751, 'SIMMONSTOWN');
Insert into LOCV
   (LOCALITY_ID, NAME)
Values
   (35417256, 'TEMPLEMILLS');
Insert into LOCV
   (LOCALITY_ID, NAME)
Values
   (35329152, 'TEMPLE MANOR');
Insert into LOCV
   (LOCALITY_ID, NAME)
Values
   (37382613, 'CELBRIDGE');
Insert into LOCV
   (LOCALITY_ID, NAME)
Values
   (37375570, 'SAINT WOLSTAN''S ABBEY');
COMMIT;
------------------------------------------------------------------------------Now the query with wrong result:
select decode(th.thorfare_name,'OSIUNKNOWN',NULL,th.thorfare_name)
           THOR,
            l.name LOC,
            b.sequence_no SEQ,
           CASE WHEN th.thorfare_name = LAG (th.thorfare_name)
            OVER (order by b.sequence_no)
            or th.thorfare_name = LEAD (th.thorfare_name)
            OVER (order by b.sequence_no)
            THEN COUNT(b.sequence_no) OVER (partition by th.thorfare_name,l.name order BY b.sequence_no
          ELSE 1
          END COUNT   from BUILDINGSV b,THORV th,LOCV l
where   th.thorfare_id = b.thorfare_id
and    nvl(b.invalid,'N')='N'
and    b.route_id=3405
and    b.locality_id =l.locality_id(+)
order by b.sequence_no;The query result -WRONG (only first few lines)
THOR                        LOC        SEQ    COUNT
DUBLIN ROAD     CELBRIDGE    1     1
NEWTOWN ROAD     CELBRIDGE        2     1
NEWTOWN ROAD     CELBRIDGE        5     2
THE GROVE     CELBRIDGE        6     1
NEWTOWN ROAD     CELBRIDGE        7     3
NEWTOWN ROAD     CELBRIDGE        9     4
NEWTOWN ROAD     CELBRIDGE       10     5
NEWTOWN ROAD     CELBRIDGE       11     6
NEWTOWN ROAD     CELBRIDGE       12     7
DUBLIN ROAD     CELBRIDGE       15     1
PRIMROSE HILL     CELBRIDGE       43     1
PRIMROSE HILL     CELBRIDGE       44     2
DUBLIN ROAD     CELBRIDGE       52     3
DUBLIN ROAD     CELBRIDGE       55     4
DUBLIN ROAD     CELBRIDGE       56     5
DUBLIN ROAD     CELBRIDGE       57     6
DUBLIN ROAD     CELBRIDGE       58     7
PRIMROSE HILL     CELBRIDGE       61     3
PRIMROSE HILL     CELBRIDGE       62     4
HAZELHATCH ROAD     CELBRIDGE       64     1
HAZELHATCH ROAD     CELBRIDGE       65     2The query result -EXPECTED (only first few lines)
THOR                     LOC     COUNT
DUBLIN ROAD     CELBRIDGE      1
NEWTOWN ROAD     CELBRIDGE      2
THE GROVE     CELBRIDGE      1
NEWTOWN ROAD     CELBRIDGE      5
DUBLIN ROAD     CELBRIDGE      1
PRIMROSE HILL     CELBRIDGE      2
DUBLIN ROAD     CELBRIDGE      5
PRIMROSE HILL     CELBRIDGE      2
HAZELHATCH ROAD     CELBRIDGE      2Please note, in the expected result, I only need 1 row but need to show the total count of rows until the names change.
So the issues are
1) the count column values are wrong in my query.
2)I dont want to repeat the same rows(Please see EXPECTED output and compare it against the original)
3)Want the output in exactly same way as in EXPECTED OUTPUT as I dont want to group by thor name(Eg. I dont want the count for all DUBLIN ROAD but I want to examine rows for the next one, if THOR/LOC combination is different in next row then COUNT=1 else COUNT=Count of no. of rows for that thor/loc combination until the combination change -So there are same value multiple rows which i need to show it in 1 row with the total count)
I am explaining below this in more detail!!
I only need 1 row per same THOR/LOC names coming multiple times but I need the count shown against that 1 row(i.e COUNT= how many rows with same thor/loc combination until THOR/LOC combo changes value).
Then repeat the process until all rows are finished..
If there is no multiple row with same THOR/LOC coming in the following row-i.e the following row is a different THOR/LOC combination, then the count for that row is 1.
Hope this is clear.
Is this doable?
Thanks in advance.
Edited by: Krithi on 04-Nov-2010 07:45
Edited by: Krithi on 04-Nov-2010 07:45
Edited by: Krithi on 04-Nov-2010 08:31

COUNT(DISTINCT) WITH ORDER BY in an analytic function

-- I create a table with three fields: Name, Amount, and a Trans_Date.
CREATE TABLE TEST
NAME VARCHAR2(19) NULL,
AMOUNT VARCHAR2(8) NULL,
TRANS_DATE DATE NULL
-- I insert a few rows into my table:
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '110', TO_DATE('06/01/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '20', TO_DATE('06/01/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '110', TO_DATE('06/02/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '21', TO_DATE('06/03/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '68', TO_DATE('06/04/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '110', TO_DATE('06/05/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Anna', '20', TO_DATE('06/06/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Bill', '43', TO_DATE('06/01/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Bill', '77', TO_DATE('06/02/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Bill', '221', TO_DATE('06/03/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Bill', '43', TO_DATE('06/04/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
INSERT INTO TEST ( TEST.NAME, TEST.AMOUNT, TEST.TRANS_DATE ) VALUES ( 'Bill', '73', TO_DATE('06/05/2005 08:00:00 PM', 'MM/DD/YYYY HH12:MI:SS PM') );
commit;
/* I want to retrieve all the distinct count of amount for every row in an analytic function with COUNT(DISTINCT AMOUNT) sorted by name and ordered by trans_date where I get only calculate for the last four trans_date for each row (i.e., for the row "Anna 110 6/5/2005 8:00:00.000 PM," I only want to look at the previous dates from 6/2/2005 to 6/5/2005 and get the distinct count of how many amounts there are different for Anna). Note, I cannot use the DISTINCT keyword in this query because it doesn't work with the ORDER BY */
select NAME, AMOUNT, TRANS_DATE, COUNT(/*DISTINCT*/ AMOUNT) over ( partition by NAME
order by TRANS_DATE range between numtodsinterval(3,'day') preceding and current row ) as COUNT_AMOUNT
from TEST t;
This is the results I get if I just count all the AMOUNT without using distinct:
NAME     AMOUNT     TRANS_DATE     COUNT_AMOUNT
Anna 110 6/1/2005 8:00:00.000 PM     2
Anna 20 6/1/2005 8:00:00.000 PM     2
Anna 110     6/2/2005 8:00:00.000 PM     3
Anna 21     6/3/2005 8:00:00.000 PM     4
Anna 68     6/4/2005 8:00:00.000 PM     5
Anna 110     6/5/2005 8:00:00.000 PM     4
Anna 20     6/6/2005 8:00:00.000 PM     4
Bill 43     6/1/2005 8:00:00.000 PM     1
Bill 77     6/2/2005 8:00:00.000 PM     2
Bill 221     6/3/2005 8:00:00.000 PM     3
Bill 43     6/4/2005 8:00:00.000 PM     4
Bill 73     6/5/2005 8:00:00.000 PM     4
The COUNT_DISTINCT_AMOUNT is the desired output:
NAME     AMOUNT     TRANS_DATE     COUNT_DISTINCT_AMOUNT
Anna     110     6/1/2005 8:00:00.000 PM     1
Anna     20     6/1/2005 8:00:00.000 PM     2
Anna     110     6/2/2005 8:00:00.000 PM     2
Anna     21     6/3/2005 8:00:00.000 PM     3
Anna     68     6/4/2005 8:00:00.000 PM     4
Anna     110     6/5/2005 8:00:00.000 PM     3
Anna     20     6/6/2005 8:00:00.000 PM     4
Bill     43     6/1/2005 8:00:00.000 PM     1
Bill     77     6/2/2005 8:00:00.000 PM     2
Bill     221     6/3/2005 8:00:00.000 PM     3
Bill     43     6/4/2005 8:00:00.000 PM     3
Bill     73     6/5/2005 8:00:00.000 PM     4
Thanks in advance.

you can try to write your own udag.
here is a fake example, just to show how it "could" work. I am here using only 1,2,4,8,16,32 as potential values.
create or replace type CountDistinctType as object
   bitor_number number,
   static function ODCIAggregateInitialize(sctx IN OUT CountDistinctType)
     return number,
   member function ODCIAggregateIterate(self IN OUT CountDistinctType,
     value IN number) return number,
   member function ODCIAggregateTerminate(self IN CountDistinctType,
     returnValue OUT number, flags IN number) return number,
    member function ODCIAggregateMerge(self IN OUT CountDistinctType,
      ctx2 IN CountDistinctType) return number
create or replace type body CountDistinctType is
static function ODCIAggregateInitialize(sctx IN OUT CountDistinctType)
return number is
begin
   sctx := CountDistinctType('');
   return ODCIConst.Success;
end;
member function ODCIAggregateIterate(self IN OUT CountDistinctType, value IN number)
return number is
begin
    if (self.bitor_number is null) then
      self.bitor_number := value;
    else
      self.bitor_number := self.bitor_number+value-bitand(self.bitor_number,value);
    end if;
    return ODCIConst.Success;
end;
member function ODCIAggregateTerminate(self IN CountDistinctType, returnValue OUT
number, flags IN number) return number is
begin
    returnValue := 0;
    for i in 0..log(2,self.bitor_number) loop
      if (bitand(power(2,i),self.bitor_number)!=0) then
        returnValue := returnValue+1;
      end if;
    end loop;
    return ODCIConst.Success;
end;
member function ODCIAggregateMerge(self IN OUT CountDistinctType, ctx2 IN
CountDistinctType) return number is
begin
    return ODCIConst.Success;
end;
end;
CREATE or REPLACE FUNCTION CountDistinct (n number) RETURN number
PARALLEL_ENABLE AGGREGATE USING CountDistinctType;
drop table t;
create table t as select rownum r, power(2,trunc(dbms_random.value(0,6))) p from all_objects;
SQL> select r,p,countdistinct(p) over (order by r) d from t where rownum<10 order by r;
         R          P          D
         1          4          1
         2          1          2
         3          8          3
         4         32          4
         5          1          4
         6         16          5
         7         16          5
         8          4          5
         9          4          5buy some good book if you want to start at writting your own "distinct" algorythm.
Message was edited by:
Laurent Schneider
a simpler but memory killer algorithm would use a plsql table in an udag and do the count(distinct) over that table to return the value

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.

How to ignore nulls in analytic functions ( row_number() and count())

how to ignore nulls in analytic functions ( row_number() and count())

Iam attaching test data can any one help me please
thanks in advanceeeee
CREATE TABLE TEMP_table
ACCTNUM NUMBER,
l_DATE TIMESTAMP(3),
CODE VARCHAR2(35 BYTE),
VENDOR VARCHAR2(35 BYTE)
insert into temp_table values (1,sysdate+1/60,'bso','v1');
insert into temp_table values (1,sysdate+2/60,'bsof','v1');
insert into temp_table values (1,sysdate+3/60,'bsof','v2');
insert into temp_table values (1,sysdate+4/60,'','v1');
ian executing this my ;
SELECT acctnum,l_date,vendor,code_1,
       CASE
         WHEN code = 'bsof'
          AND COUNT (DISTINCT code) OVER (PARTITION BY acctnum, vendor) > 1
          AND row_number () OVER (PARTITION BY acctnum, vendor ORDER BY vendor, l_date) != 1
         THEN 'yes'
       ELSE 'no' END result
FROM (select acctnum,l_date,vendor, code code_1, case when code IN ('bso', 'bsof') then code
else null end code   from TEMP_TABLE
ORDER BY acctnum ,l_date);
my result :
1    3/23/2011 5:24:34.000 PM    v1    bso    no
1    3/23/2011 5:48:36.000 PM    v1    bsof    yes
1    3/23/2011 6:36:41.000 PM    v1    bsof    yes
1    3/24/2011 11:55:53.000 AM    v1        no
1    3/23/2011 6:12:38.000 PM    v2    bsof    no
I need to eliminate nulls in top query not in inner query (not using where condition in inner query)
[\code]

Analytical function count(*) with order by Rows unbounded preceding

Hi
I have query about analytical function count(*) with order by (col) ROWS unbounded preceding.
If i removed order by rows unbouned preceding then it behaves some other way.
Can anybody tell me what is the impact of order by ROWS unbounded preceding with count(*) analytical function?
Please help me and thanks in advance.

Sweety,
CURRENT ROW is the default behaviour of the analytical function if no windowing clause is provided. So if you are giving ROWS UNBOUNDED PRECEDING, It basically means that you want to compute COUNT(*) from the beginning of the window to the current ROW. In other words, the use of ROWS UNBOUNDED PRECEDING is to implicitly indicate the end of the window is the current row
The beginning of the window of a result set will depend on how you have defined your partition by clause in the analytical function.
If you specify ROWS 2 preceding, then it will calculate COUNT(*) from 2 ROWS prior to the current row. It is a physical offset.
Regards,
Message was edited by:
henryswift

Aggregation of analytic functions not allowed

Hi all, I have a calculated field called Calculation1 with the following calculation:
AVG(Resolution_time) KEEP(DENSE_RANK FIRST ORDER BY RANK ) OVER(PARTITION BY "User's Groups COMPL".Group Name,"Tickets Report #7 COMPL".Resource Name )
The result of this calculation is correct, but is repeated for all the rows I have in the dataset.
Group Name      Resourse name    Calculation1
SH Group            Mr. A            10
SH Group            Mr. A            10
SH Group            Mr. A            10
SH Group            Mr. A            10
SH Group            Mr. A            10
5112 rowsI tried to create another calculation in order to have only ONE value for the couple "Group Name, Resource Name) as AVG(Calculation1) but I have the error: Aggregation of analytic functions not allowed
I saw also inside the "Edit worksheet" panel that the Calculation1 *is not represented* with the "Sigma" symbol I(as for example a simple AVG(field_1)) and inside the SQL code I don't have GROUP BY Group Name, Resource Name......
I'd like to see ONLY one row as:
Group Name      Resourse name    Calculation1
SH Group            Mr. A            10....that it means I grouped by Group Name, Resource Name
Anyone knows how can I achieve this result or any workarounds ??
Thanks in advance
Alex

Hi Rod unfortunately I can't use the AVG(Resolution_time) because my dataset is quite strange...I explain to you better.
Ι start from this situation:
!http://www.freeimagehosting.net/uploads/6c7bba26bd.jpg!
There are 3 calculated fields:
RANK is the first calculated field:
ROW_NUMBER() OVER(PARTITION BY "User's Groups COMPL".Group Name,"Tickets Report Assigned To & Created By COMPL".Resource Name,"Tickets Report Assigned To & Created By COMPL".Incident Id ORDER BY "Tickets Report Assigned To & Created By COMPL".Select Flag )
RT Calc is the 2nd calculation:
CASE WHEN RANK = 1 THEN Resolution_time END
and Calculation2 is the 3rd calculation:
AVG(Resolution_time) KEEP(DENSE_RANK FIRST ORDER BY RANK ) OVER(PARTITION BY "User's Groups COMPL".Group Name,"Tickets Report Assigned To & Created By COMPL".Resource Name )
As you can see, from the initial dataset, I have duplicated incident id and a simple AVG(Resolution Time) counts also all the duplication.
I used the rank (based on the field "flag) to take, for each ticket, ONLY a "resolution time" value (in my case I need the resolution time when the rank =1)
So, with the Calculation2 I calculated for each couple Group Name, Resource Name the right AVG(Resolution time), but how yuo can see....this result is duplicated for each incident_id....
What I need instead is to see *once* for each couple 'Group Name, Resource Name' the AVG(Resolution time).
In other words I need to calculate the AVG(Resolution time) considering only the values written inside the RT Calc fields (where they are NOT NULL, and so, the total of the tickets it's not 14, but 9).
I tried to aggregate again using AVG(Calculation2)...but I had the error "Aggregation of analytic functions not allowed"...
Do you know a way to fix this problem ?
Thanks
Alex

Using analytical function to calculate concurrency between date range

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

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

How to use sum analytic function in adf

Hi
jdev 11.1.1.5
oracle 11g r2
I want to use analytic function (sum,count,avg and ...) .
I see [url http://andrejusb.blogspot.co.uk/2013/02/oracle-analytic-functions-for-total-and.html]Oracle Analytic Functions for Total and Average Calculation in ADF BC
and use it in my vo and jsf page,my vo have too much record and I want to have sum in table footer on demand (because of performance) and if user do not want to see the sum in footer of table it do not calculate sum,
what is your idea?

Before I read that blog I use another vo for sum but after that blog decide to use analytic fuction becuase we have some page that have to many dvt graph and table and know we use seperate vo for them and it has not good performance and too many query must run in database ,I want to have 1 vo with some analytic function for graph and tables

Top n analysis without analytical function or rownum

Hi
I am working on Oracle 9i and i have the following query.
My data is like as
Year Type Total
1996 A 23
1996 B 34
1996 C 19
1996 D 11
1996 E 45
1996 F 32
1997 A 12
1997 B 11
1997 C 34
1997 D 45
1997 E 67
1997 F 11
My requirement is to get the top 4 value year wise from the above data. All i need is without the use of ROWNUM as well as other analytical functions like RANK, PARTITION BY etc.
The required result set is
Year Type Total
1996 E 45
1996 B 34
1996 F 32
1996 A 23
1997 E 67
1997 D 45
1997 C 34
1997 A 12
Thanks
MS

Maybe you can try this:
SQL> WITH TABLE_A AS
2 (
3 SELECT '1996' COL1, 'A' COL2, 23 COL3 FROM DUAL
4 UNION ALL
5 SELECT '1996' COL1, 'B' COL2, 34 COL3 FROM DUAL
6 UNION ALL
7 SELECT '1996' COL1, 'C' COL2, 19 COL3 FROM DUAL
8 UNION ALL
9 SELECT '1996' COL1, 'D' COL2, 11 COL3 FROM DUAL
10 UNION ALL
11 SELECT '1996' COL1, 'E' COL2, 45 COL3 FROM DUAL
12 UNION ALL
13 SELECT '1996' COL1, 'F' COL2, 32 COL3 FROM DUAL
14 UNION ALL
15 SELECT '1997' COL1, 'A' COL2, 12 COL3 FROM DUAL
16 UNION ALL
17 SELECT '1997' COL1, 'B' COL2, 11 COL3 FROM DUAL
18 UNION ALL
19 SELECT '1997' COL1, 'C' COL2, 34 COL3 FROM DUAL
20 UNION ALL
21 SELECT '1997' COL1, 'D' COL2, 45 COL3 FROM DUAL
22 UNION ALL
23 SELECT '1997' COL1, 'E' COL2, 67 COL3 FROM DUAL
24 UNION ALL
25 SELECT '1997' COL1, 'F' COL2, 11 COL3 FROM DUAL
26 )
27 SELECT COL1, COL2, COL3 FROM
28 (
29 SELECT
30 COL1,
31 COL2,
32 COL3,
33 (SELECT COUNT(1) FROM TABLE_A B WHERE A.COL1 = B.COL1 AND B.COL3 > A.COL3) ORDER_NUM
34 FROM
35 TABLE_A A
36 ORDER BY
37 COL1, COL3 DESC
38 ) WHERE ORDER_NUM < 4
39 /
COL1 C       COL3
1996 E         45
1996 B         34
1996 F         32
1996 A         23
1997 E         67
1997 D         45
1997 C         34
1997 A         12

Speed up query with analytic function

Hi
how can I speed up the query below ?
All time is in analytic function (WINDOW SORT)
Thanks for your help
11.2.0.1
Rows     Row Source Operation
28987 HASH UNIQUE (cr=12677 pr=155778 pw=109730 time=25010 us cost=5502 size=3972960 card=14880)
1668196   WINDOW SORT (cr=12677 pr=155778 pw=109730 time=890411840 us cost=5502 size=3972960 card=14880)
1668196    HASH JOIN RIGHT OUTER (cr=12677 pr=0 pw=0 time=1069165 us cost=3787 size=3972960 card=14880)
30706     TABLE ACCESS FULL FLO_FML_EVENT (cr=270 pr=0 pw=0 time=7420 us cost=56 size=814158 card=30154)
194733     HASH JOIN RIGHT OUTER (cr=12407 pr=0 pw=0 time=571145 us cost=3730 size=3571200 card=14880)
    613      VIEW (cr=342 pr=0 pw=0 time=489 us cost=71 size=23840 card=745)
    613       HASH UNIQUE (cr=342 pr=0 pw=0 time=244 us cost=71 size=20115 card=745)
    745        WINDOW SORT (cr=342 pr=0 pw=0 time=1736 us cost=71 size=20115 card=745)
    745         MAT_VIEW ACCESS FULL MVECRF_CUR_QUERY (cr=342 pr=0 pw=0 time=1736 us cost=69 size=20115 card=745)
194733      HASH JOIN (cr=12065 pr=0 pw=0 time=431813 us cost=3658 size=3095040 card=14880)
     43       MAT_VIEW ACCESS FULL MVECRF_VISIT_REVS (cr=3 pr=0 pw=0 time=0 us cost=2 size=946 card=43)
194733       HASH JOIN OUTER (cr=12062 pr=0 pw=0 time=292098 us cost=3656 size=2767680 card=14880)
194733        HASH JOIN OUTER (cr=10553 pr=0 pw=0 time=234394 us cost=2962 size=2574240 card=14880)
194733         HASH JOIN (cr=9999 pr=0 pw=0 time=379996 us cost=2570 size=2380800 card=14880)
30076          MAT_VIEW ACCESS FULL MVECRF_ACTIVATED_FORMS (cr=1817 pr=0 pw=0 time=28411 us cost=361 size=2000285 card=29855)
194733          HASH JOIN (cr=8182 pr=0 pw=0 time=209061 us cost=1613 size=9026301 card=97057)
    628           MAT_VIEW ACCESS FULL MVECRF_STUDYVERSION_FORMS (cr=19 pr=0 pw=0 time=250 us cost=6 size=18212 card=628)
194733           MAT_VIEW ACCESS FULL MVECRF_FORMITEMS (cr=8163 pr=0 pw=0 time=80733 us cost=1606 size=12462912 card=194733)
132342         MAT_VIEW ACCESS FULL MVECRF_ITEM_SDV (cr=554 pr=0 pw=0 time=23678 us cost=112 size=1720446 card=132342)
221034        MAT_VIEW ACCESS FULL MVECRF_ITEMDATA (cr=1509 pr=0 pw=0 time=46459 us cost=299 size=2873442 card=221034)
SELECT
      DISTINCT
         'CL238093011' AS ETUDE,
         FI.STUDYID,
         FI.STUDYVERSIONID,
         FI.SITEID,
         FI.SUBJECTID,
         FI.VISITID,
         VR.VISITREFNAME,
         FI.SUBJECTVISITID,
         FI.FORMID,
         FI.FORMINDEX,
         SVF.FORMREFNAME,
         SVF.FORMMNEMONIC AS FMLNOM,
         EVENT_ITEM.EVENT AS EVENUM,
         EVENT_ITEM.EVENT_ROW AS LIGNUM,
         NULL AS CODVISEVE,
         MIN(DID.MINENTEREDDATE)
            OVER (
               PARTITION BY FI.SUBJECTID, FI.VISITID, FI.FORMID, FI.FORMINDEX
            AS ATTDAT1ERSAI,
         MIN(IFSDV.ITEMFIRSTSDV)
            OVER (
               PARTITION BY FI.SUBJECTID, FI.VISITID, FI.FORMID, FI.FORMINDEX
            AS ATTDAT1ERSDV,
         MAX(IFSDV.ITEMFIRSTSDV)
            OVER (
               PARTITION BY FI.SUBJECTID, FI.VISITID, FI.FORMID, FI.FORMINDEX
            AS ATTDATDERSDV,
         DECODE (AF.SDVCOMPLETESTATE,
                 0,
                 'N',
                 1,
                 'Y')
            AS ATTINDSDVCOP,
         AF.FMINSDVCOMPLETESTATE AS ATTDAT1ERSDVCOP,
         DECODE (AF.SDVPARTIALSTATE,
                 0,
                 'N',
                 1,
                 'Y')
            AS ATTINDSDVPTL,
         EVENT_ITEM.EVENT_RELECT AS ATTINDRVUMEDCOP,
         DECODE (QUERY.NBQSTFML, NULL, 'N', 'Y') AS ATTINDQST,
         DECODE (AF.MISSINGITEMSSTATE,
                 0,
                 'N',
                 1,
                 'Y')
            AS ATTINDITMABS,
         DECODE (AF.FROZENSTATE,
                 0,
                 'N',
                 1,
                 'Y')
            AS ATTINDETACON,
         AF.FMINFROZENSTATE AS ATTDAT1ERCON,
         AF.FMAXFROZENSTATE AS ATTDATDERCON,
         DECODE (AF.DELETEDSTATE,
                 0,
                 'N',
                 1,
                 'Y')
            AS ATTINDETASPR,
         EVENT_ITEM.ROW_DELETED AS ATTINDLIGSPR
FROM   CL238093011.MVECRF_FORMITEMS FI,
         CL238093011.MVECRF_STUDYVERSION_FORMS SVF,
         CL238093011.MVECRF_ACTIVATED_FORMS AF,
         CL238093011.MVECRF_ITEM_SDV IFSDV,
         CL238093011.MVECRF_VISIT_REVS VR,
         CL238093011.MVECRF_ITEMDATA DID,
         (SELECT   DISTINCT
                   SUBJECTID,
                   VISITID,
                   FORMID,
                   FORMINDEX,
                   COUNT (
                      DISTINCT QUERYID
                      OVER (
                         PARTITION BY SUBJECTID, VISITID, FORMID, FORMINDEX
                      NBQSTFML
            FROM   CL238093011.MVECRF_CUR_QUERY
           WHERE   QUERYSTATE IN (0, 1, 2)) QUERY,
         CL238093011.FLO_FML_EVENT EVENT_ITEM
WHERE   (AF.VISITDELETED IS NULL OR AF.VISITDELETED = 0)
         AND AF.FORMTYPE NOT IN (4, 5, 6, 7, 8, 103)
         AND (AF.DELETEDDYNAMICFORMSTATE IS NULL
              OR AF.DELETEDDYNAMICFORMSTATE = 0)
         AND FI.SUBJECTVISITID = AF.SUBJECTVISITID
         AND FI.FORMID = AF.FORMID
         AND FI.FORMREV = AF.FORMREV
         AND FI.FORMINDEX = AF.FORMINDEX
         AND FI.VISITID = VR.VISITID
         AND FI.VISITREV = VR.VISITREV
         AND FI.CONTEXTID = IFSDV.CONTEXTID(+)
         AND FI.CONTEXTID = DID.CONTEXTID(+)
         AND FI.SUBJECTID = QUERY.SUBJECTID(+)
         AND FI.VISITID = QUERY.VISITID(+)
         AND FI.FORMID = QUERY.FORMID(+)
         AND FI.FORMINDEX = QUERY.FORMINDEX(+)
         AND FI.STUDYVERSIONID = SVF.STUDYVERSIONID
         AND FI.FORMID = SVF.FORMID
         AND FI.VISITID = SVF.VISITID
         AND FI.SUBJECTID = EVENT_ITEM.SUBJECTID(+)
         AND FI.VISITID = EVENT_ITEM.VISITID(+)
         AND FI.FORMID = EVENT_ITEM.FORMID(+)
         AND FI.FORMINDEX = EVENT_ITEM.FORMINDEX(+)

user12045475 wrote:
Hi
how can I speed up the query below ?
All time is in analytic function (WINDOW SORT)
Thanks for your help
11.2.0.1
Rows     Row Source Operation
28987 HASH UNIQUE (cr=12677 pr=155778 pw=109730 time=25010 us cost=5502 size=3972960 card=14880)
1668196   WINDOW SORT (cr=12677 pr=155778 pw=109730 time=890411840 us cost=5502 size=3972960 card=14880)
1668196    HASH JOIN RIGHT OUTER (cr=12677 pr=0 pw=0 time=1069165 us cost=3787 size=3972960 card=14880)
30706     TABLE ACCESS FULL FLO_FML_EVENT (cr=270 pr=0 pw=0 time=7420 us cost=56 size=814158 card=30154)
194733     HASH JOIN RIGHT OUTER (cr=12407 pr=0 pw=0 time=571145 us cost=3730 size=3571200 card=14880)
613      VIEW (cr=342 pr=0 pw=0 time=489 us cost=71 size=23840 card=745)
613       HASH UNIQUE (cr=342 pr=0 pw=0 time=244 us cost=71 size=20115 card=745)
745        WINDOW SORT (cr=342 pr=0 pw=0 time=1736 us cost=71 size=20115 card=745)
745         MAT_VIEW ACCESS FULL MVECRF_CUR_QUERY (cr=342 pr=0 pw=0 time=1736 us cost=69 size=20115 card=745)
194733      HASH JOIN (cr=12065 pr=0 pw=0 time=431813 us cost=3658 size=3095040 card=14880)
43       MAT_VIEW ACCESS FULL MVECRF_VISIT_REVS (cr=3 pr=0 pw=0 time=0 us cost=2 size=946 card=43)
194733       HASH JOIN OUTER (cr=12062 pr=0 pw=0 time=292098 us cost=3656 size=2767680 card=14880)
194733        HASH JOIN OUTER (cr=10553 pr=0 pw=0 time=234394 us cost=2962 size=2574240 card=14880)
194733         HASH JOIN (cr=9999 pr=0 pw=0 time=379996 us cost=2570 size=2380800 card=14880)
30076          MAT_VIEW ACCESS FULL MVECRF_ACTIVATED_FORMS (cr=1817 pr=0 pw=0 time=28411 us cost=361 size=2000285 card=29855)
194733          HASH JOIN (cr=8182 pr=0 pw=0 time=209061 us cost=1613 size=9026301 card=97057)
628           MAT_VIEW ACCESS FULL MVECRF_STUDYVERSION_FORMS (cr=19 pr=0 pw=0 time=250 us cost=6 size=18212 card=628)
194733           MAT_VIEW ACCESS FULL MVECRF_FORMITEMS (cr=8163 pr=0 pw=0 time=80733 us cost=1606 size=12462912 card=194733)
132342         MAT_VIEW ACCESS FULL MVECRF_ITEM_SDV (cr=554 pr=0 pw=0 time=23678 us cost=112 size=1720446 card=132342)
221034        MAT_VIEW ACCESS FULL MVECRF_ITEMDATA (cr=1509 pr=0 pw=0 time=46459 us cost=299 size=2873442 card=221034)
SELECT
DISTINCT
'CL238093011' AS ETUDE,
FI.STUDYID,
FI.STUDYVERSIONID,
FI.SITEID,
FI.SUBJECTID,
FI.VISITID,
VR.VISITREFNAME,
FI.SUBJECTVISITID,
FI.FORMID,
FI.FORMINDEX,
SVF.FORMREFNAME,
SVF.FORMMNEMONIC AS FMLNOM,
EVENT_ITEM.EVENT AS EVENUM,
EVENT_ITEM.EVENT_ROW AS LIGNUM,
NULL AS CODVISEVE,
MIN(DID.MINENTEREDDATE)
OVER (
PARTITION BY FI.SUBJECTID, FI.VISITID, FI.FORMID, FI.FORMINDEX
AS ATTDAT1ERSAI,
MIN(IFSDV.ITEMFIRSTSDV)
OVER (
PARTITION BY FI.SUBJECTID, FI.VISITID, FI.FORMID, FI.FORMINDEX
AS ATTDAT1ERSDV,
MAX(IFSDV.ITEMFIRSTSDV)
OVER (
PARTITION BY FI.SUBJECTID, FI.VISITID, FI.FORMID, FI.FORMINDEX
AS ATTDATDERSDV,
DECODE (AF.SDVCOMPLETESTATE,
0,
'N',
1,
'Y')
AS ATTINDSDVCOP,
AF.FMINSDVCOMPLETESTATE AS ATTDAT1ERSDVCOP,
DECODE (AF.SDVPARTIALSTATE,
0,
'N',
1,
'Y')
AS ATTINDSDVPTL,
EVENT_ITEM.EVENT_RELECT AS ATTINDRVUMEDCOP,
DECODE (QUERY.NBQSTFML, NULL, 'N', 'Y') AS ATTINDQST,
DECODE (AF.MISSINGITEMSSTATE,
0,
'N',
1,
'Y')
AS ATTINDITMABS,
DECODE (AF.FROZENSTATE,
0,
'N',
1,
'Y')
AS ATTINDETACON,
AF.FMINFROZENSTATE AS ATTDAT1ERCON,
AF.FMAXFROZENSTATE AS ATTDATDERCON,
DECODE (AF.DELETEDSTATE,
0,
'N',
1,
'Y')
AS ATTINDETASPR,
EVENT_ITEM.ROW_DELETED AS ATTINDLIGSPR
FROM   CL238093011.MVECRF_FORMITEMS FI,
CL238093011.MVECRF_STUDYVERSION_FORMS SVF,
CL238093011.MVECRF_ACTIVATED_FORMS AF,
CL238093011.MVECRF_ITEM_SDV IFSDV,
CL238093011.MVECRF_VISIT_REVS VR,
CL238093011.MVECRF_ITEMDATA DID,
(SELECT   DISTINCT
SUBJECTID,
VISITID,
FORMID,
FORMINDEX,
COUNT (
DISTINCT QUERYID
OVER (
PARTITION BY SUBJECTID, VISITID, FORMID, FORMINDEX
NBQSTFML
FROM   CL238093011.MVECRF_CUR_QUERY
WHERE   QUERYSTATE IN (0, 1, 2)) QUERY,
CL238093011.FLO_FML_EVENT EVENT_ITEM
WHERE   (AF.VISITDELETED IS NULL OR AF.VISITDELETED = 0)
AND AF.FORMTYPE NOT IN (4, 5, 6, 7, 8, 103)
AND (AF.DELETEDDYNAMICFORMSTATE IS NULL
OR AF.DELETEDDYNAMICFORMSTATE = 0)
AND FI.SUBJECTVISITID = AF.SUBJECTVISITID
AND FI.FORMID = AF.FORMID
AND FI.FORMREV = AF.FORMREV
AND FI.FORMINDEX = AF.FORMINDEX
AND FI.VISITID = VR.VISITID
AND FI.VISITREV = VR.VISITREV
AND FI.CONTEXTID = IFSDV.CONTEXTID(+)
AND FI.CONTEXTID = DID.CONTEXTID(+)
AND FI.SUBJECTID = QUERY.SUBJECTID(+)
AND FI.VISITID = QUERY.VISITID(+)
AND FI.FORMID = QUERY.FORMID(+)
AND FI.FORMINDEX = QUERY.FORMINDEX(+)
AND FI.STUDYVERSIONID = SVF.STUDYVERSIONID
AND FI.FORMID = SVF.FORMID
AND FI.VISITID = SVF.VISITID
AND FI.SUBJECTID = EVENT_ITEM.SUBJECTID(+)
AND FI.VISITID = EVENT_ITEM.VISITID(+)
AND FI.FORMID = EVENT_ITEM.FORMID(+)
AND FI.FORMINDEX = EVENT_ITEM.FORMINDEX(+)
Do you have the license for parallel query (may/may not help)? PQO can help with sorts ...

Analytic function question

I have been trying to fix this since yesterday ad I am close, here is the question
CREATE TABLE P_X_STG
PID NUMBER,
EID VARCHAR2(10 BYTE)
CREATE TABLE TAB_C
EID VARCHAR2(10 BYTE),
X    NUMBER
SET DEFINE OFF;
Insert into P_X_STG
   (PID, EID)
Values
   (1, 'e3');
Insert into P_X_STG
   (PID, EID)
Values
   (1, 'e1');
Insert into P_X_STG
   (PID, EID)
Values
   (1, 'e2');
Insert into P_X_STG
   (PID, EID)
Values
   (2, 'e3');
Insert into P_X_STG
   (PID, EID)
Values
   (2, 'e4');
Insert into P_X_STG
   (PID, EID)
Values
   (3, 'e5');
COMMIT;
SET DEFINE OFF;
Insert into TAB_C
   (EID, X)
Values
   ('e1', 100);
Insert into TAB_C
   (EID, X)
Values
   ('e3', 300);
Insert into TAB_C
   (X)
Values
   (400);
COMMIT;we match both the tables by eid
if the eid matches, get corresponding x information
if a pid has multiple different eids, for matching eid, get corresponding x information, but for non matching, simply put a NULL to x
for matching eids, print "ematch", for non matchig eids, print "pmatch"
in the below query, for non matching eids, we copy x information from matching ones, can someone help me substitute tha with Null
SELECT pid,
            eid,
            x,
            ematch
       FROM ( SELECT p.pid,
                      p.eid,
                      CASE
                         WHEN p.eid = c.eid THEN c.x
                         ELSE LAG (x) OVER (ORDER BY pid)
                      END
                         x,
                      CASE WHEN p.eid = c.eid THEN 'ematch' ELSE 'pmatch' END
                         ematch
                 FROM p_x_stg p, tab_c c
                WHERE p.eid = c.eid(+)
             ORDER BY pid, eid)
      WHERE x IS NOT NULL
   ORDER BY pid;
result is
1     e1     100     ematch
1     e2     100     pmatch
1     e3     300     ematch
2     e3     300     ematch
2     e4     300     pmatchI want below result
1    e1    100    ematch
1    e2    null    pmatch
1    e3    300    ematch
2    e3    300    ematch
2    e4    null    pmatchfor 1, e2 and 2, e4, instead of copying, just put null
Edited by: user650888 on Apr 6, 2012 12:29 PM

Hi,
user650888 wrote:
thanks, can this be combined into one query ?Do you mean without a sub-query?
Why? What's wrong with a sub-query?
If uisng a sub-query is the clearest and most efficient way to get the results you want, why wouldn't you want to use a sub-query?
Suppose there was a way, that involved some other technique. How would we know that you didn't object to that technique as well?
At any rate, I don't see how to do it without a sub-query. Analytic functions are computed after the WHERE clause is applied. If you want to use the results of an analytic function in a WHERE clause (as here, we want to use the results of the analytic COUNT function in a WHERE clause), then you have to compute the analytic function separately, in another (sub-) query.

Analytic function problem

Hi,
I have a problem using analytic function: when I execute this query
SELECT TSIUPSITE, TSIUPCEAN , TSIUPDATE, sum(TSIUPCA) TSIUPCA, TSIUPCTVA,TSIUPP4N,TSIUPPIEC,
sum(TSIUPQTE) TSIUPQTE,sum(TSIUPQTEP) TSIUPQTEP, TSIUPMDIU,TSIUPMDar,
sum(TSIUPCRIU) TSIUPCRIU,sum(TSIUPCRAR) TSIUPCRAR, trunc(TSIUPDCRE) TSIUPDCRE ,trunc(TSIUPDMAJ) TSIUPDMAJ ,
TSIUPUTIL,TSIUPTRT,TSIUPNERR,TSIUPMESS,
TSIUPTMVT,TSIUPSMAN, TSIUPMOTIF, sum(TSIUPMHT) TSIUPMHT, 0 vtanfisc,
TSIUPDATEVERIF,TSIUPNSEQ,TSIUPCINV ,count(*) over (partition by TSIUPSITE,TSIUPCEAN,TSIUP_TRT ) CONTA_ARTICOLO
FROM TST_FLIISR_VTEREMART
WHERE 1=1 --TSIUP_TRT = 1
AND TSIUPDATE=to_date('27082012','ddmmyyyy')
and TSIUP_NTRX =172
AND TSIUPSITE = 10025
AND TSIUPCEAN = '8012452018825'
GROUP BY TSIUPSITE, TSIUPCEAN , TSIUPDATE, TSIUPCTVA,TSIUPP4N,TSIUPPIEC,
TSIUPMDIU,TSIUPMDar, trunc(TSIUPDCRE),trunc(TSIUPDMAJ),TSIUPUTIL,TSIUPTRT,TSIUPNERR,TSIUPMESS,
TSIUPTMVT,TSIUPSMAN, TSIUPMOTIF, 0,
TSIUPDATEVERIF,TSIUPNSEQ,TSIUPCINV
ORDER BY TSIUPSITE,TSIUPDATE ;
I have the error ORA-00979: not a GROUP BY expression related to TSIUP_TRT field,infact, if I execute this one
SELECT TSIUPSITE, TSIUPCEAN , TSIUPDATE, sum(TSIUPCA) TSIUPCA, TSIUPCTVA,TSIUPP4N,TSIUPPIEC,
sum(TSIUPQTE) TSIUPQTE,sum(TSIUPQTEP) TSIUPQTEP, TSIUPMDIU,TSIUPMDar,
sum(TSIUPCRIU) TSIUPCRIU,sum(TSIUPCRAR) TSIUPCRAR, trunc(TSIUPDCRE) TSIUPDCRE ,trunc(TSIUPDMAJ) TSIUPDMAJ ,
TSIUPUTIL,TSIUPTRT,TSIUPNERR,TSIUPMESS,
TSIUPTMVT,TSIUPSMAN, TSIUPMOTIF, sum(TSIUPMHT) TSIUPMHT, 0 vtanfisc,
TSIUPDATEVERIF,TSIUPNSEQ,TSIUPCINV ,count(*) over (partition by TSIUPSITE,TSIUPCEAN ) CONTA_ARTICOLO
FROM TST_FLIISR_VTEREMART
WHERE 1=1 --TSIUP_TRT = 1
AND TSIUPDATE=to_date('27082012','ddmmyyyy')
and TSIUP_NTRX =172
AND TSIUPSITE = 10025
AND TSIUPCEAN = '8012452018825'
GROUP BY TSIUPSITE, TSIUPCEAN , TSIUPDATE, TSIUPCTVA,TSIUPP4N,TSIUPPIEC,
TSIUPMDIU,TSIUPMDar, trunc(TSIUPDCRE),trunc(TSIUPDMAJ),TSIUPUTIL,TSIUPTRT,TSIUPNERR,TSIUPMESS,
TSIUPTMVT,TSIUPSMAN, TSIUPMOTIF, 0,
TSIUPDATEVERIF,TSIUPNSEQ,TSIUPCINV
ORDER BY TSIUPSITE,TSIUPDATE ;
I have no problem. Now the difference between TSIUPCEAN ( or TSIUPSITE) and TSIUP_TRT is that TSIUP_TRT is not in Group By clause, but, to be honest, I don't know why I have this problem using using an analitic function.
Thanks for help

Hi,
I think you are not using analytic function properly.
Analytical functions will execute for each row. Where as Group BY will execute for groups of data.
See below example for you reference.
Example 1:
-- Below query displays number of employees for each department. Since we have used analytical function for each row you are getting the number of employees based on the department id.
SQL> SELECT e.department_id,count(*) OVER (PARTITION BY e.department_id) cnt_analytic
2 FROM employees e
3 WHERE e.department_id IN (10,20,30);
DEPARTMENT_ID CNT_ANALYTIC
           10            1
           20            2
           20            2
           30            6
           30            6
           30            6
           30            6
           30            6
           30            6
9 rows selected.
Example 2:
-- Since I have used GROUP BY clause I'm getting only single row for each department.
SQL> SELECT e.department_id, count(*) cnt_group
2 FROM employees e
3 WHERE e.department_id IN (10,20,30)
4 GROUP BY e.department_id;
DEPARTMENT_ID CNT_GROUP
           10          1
           20          2
           30          6Finally, what I'm trying to explain you is - If you use Analytical function with GROUP BY clause, the query will not give the menaing ful result set.
See below
SQL> SELECT e.department_id,count(*) OVER (PARTITION BY e.department_id) cnt_analytic, count(*) cnt_grp
2 FROM employees e
3 WHERE e.department_id IN (10,20,30)
4 GROUP BY e.department_id;
DEPARTMENT_ID CNT_ANALYTIC    CNT_GRP
           10            1          1
           20            1          2
           30            1          6

Analytic function - two answers in one single select

create table atest(eid varchar2(10),ukey varchar2(10),tname varchar2(40));
insert into atest values ('eid1','ukey1','tname1');
insert into atest values ('eid2','ukey1','tname2');
insert into atest values ('eid3','ukey2','tname3');
insert into atest values ('eid4','ukey2','tname3');
insert into atest values ('eid5','ukey3','tname4');
commit;I need one single sql, from which I want to find out 2 things
1. find out those ukey values for which we have multiple eids (ukey1, ukey2 in our example)
2. next, once we identify those ukeys with multiple eids, out of those, find those ukeys which have non unique tnames (in our example ukey1)
I would like to do it using analytic functions, so far tried the following
select eid, ukey,
(case when count(distinct a.eid) over (partition by (a.ukey)) > 1 then
-- do something here, above will give ukey1, ukey2, but how to identify those ukeys with non unique tnames ?
else
end) tsource
from atest a;

user650888 wrote:
can the same be achieved with analytics ? Yes, but why? Anyway:
select ukey
from (
         select ukey,
                 count(distinct eid) over(partition by ukey) eid_cnt,
                 count(distinct tname) over(partition by ukey) tname_cnt,
                 row_number() over(partition by ukey order by 1) rn
           from atest
where eid_cnt > 1
    and tname_cnt > 1
    and rn = 1
UKEY
ukey1
SQL> SY.

Analytical Function in Oracle

I have a situation where i have partitioned a record set. If in any of the partition on that recordset, the value of one field(field name- status) is '45' i need to order the result of that partition by- 'outdate' desc, 'receiveddate' desc and order the other partition by 'key' desc,' sequence' desc, 'outdate' desc.
So the query looks like -
select row_number() over (partition by key order by sequence) RowNo, key, seq, status, outdate, receivedate from table1 where .........
order by ????
RowNo Key Seq status outdate receiveddate
1 200 0 24 9/13/2009 9/12/2009
2 200 1 23 9/10/2009 9/09/2009
3 200 2 24 9/09/2009 9/08/2009
1 210 0 24 9/13/2009 9/12/2009
2 210 1 * 45 * 9/09/2009 9/08/2009
3 210 2 24 9/10/2009 9/09/2009
So i need to get the query that will order the first set of partition by 'key' desc,' sequence' desc, 'outdate' desc and the Second set of partition (since the status of '45' exist in second partition) by 'outdate' desc, 'receiveddate' desc .
The output of the query should look like
RowNo Key Seq status outdate receiveddate
1 200 0 24 9/13/2009 9/12/2009
2 200 1 23 9/10/2009 9/09/2009
3 200 2 24 9/09/2009 9/08/2009
1 210 0 24 9/13/2009 9/12/2009
2 210 2 24 9/10/2009 9/09/2009
3 210 1 *45 * 9/09/2009 9/08/2009
I am not sure if this is possible using Analytical function.
I would really appreciate if any one can light me on this.
Thanks in advance

Hi,
Welcome to the forum!
You can use analytic functions in the ORDER BY clause.
I don't have your tables, so I'll use scott.emp to illustrate.
The following query sorts by deptno first. After that, the sort order for departments that contain at least one Salesman is:
(a) job
(b) ename
Deptno=30 happens to be the only department with a Salesman, so it is the only one sorted as above.
The other departements will be sorted by
(a) sal
(b) job
SELECT       deptno
,       ename
,       job
,       sal
FROM       scott.emp
ORDER BY deptno
,            CASE
          WHEN COUNT ( CASE
                               WHEN job = 'SALESMAN'
                      THEN 1
                     END
                   ) OVER (PARTITION BY deptno) > 0
          THEN ROW_NUMBER () OVER ( PARTITION BY deptno
                                      ORDER BY       job
                            ,            ename
          ELSE ROW_NUMBER () OVER ( PARTITION BY deptno
                                      ORDER BY       sal
                            ,            job
       END
;Output:
.   DEPTNO ENAME      JOB              SAL
        10 MILLER     CLERK           1300
        10 CLARK      MANAGER         2450
        10 KING       PRESIDENT       5000
        20 SMITH      CLERK            800
        20 ADAMS      CLERK           1100
        20 JONES      MANAGER         2975
        20 SCOTT      ANALYST         3000
        20 FORD       ANALYST         3000
        30 JAMES      CLERK            950
        30 BLAKE      MANAGER         2850
        30 ALLEN      SALESMAN        1600
        30 MARTIN     SALESMAN        1250
        30 TURNER     SALESMAN        1500
        30 WARD       SALESMAN        1250
In the small set of sample data you posted, the results you want can be obtained simply using
ORDER BY key
,         outdate     DESCI assume that's just a coincidence.
If you need help, post some sample data that really requires looking at the status column to get the right results. Post the data in some executable form, such as CREATE TABLE and INSERT statements, olr, as Salim did, a WITH clause. (Perhaps you can just add or change a couple of rows in the sample data Salim already posted.)

Count (*) As Analytic Function....

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