Analytical Function - COUNT issue
Hello All,
DB Oracle 11g running on Linux x86 64-bit platform ..
I'm curious to know why the below two sets of queries produce different reults.
Q 1
WITH TEMP AS
SELECT 'ONE' VAL, 5 PAR FROM DUAL UNION ALL
SELECT 'ONE' VAL, 7 PAR FROM DUAL UNION ALL
SELECT 'FIVE' VAL, 17 PAR FROM DUAL UNION ALL
SELECT 'FOUR' VAL, 0 PAR FROM DUAL UNION ALL
SELECT 'THREE' VAL, 78 PAR FROM DUAL UNION ALL
SELECT 'THREE' VAL, 34 PAR FROM DUAL UNION ALL
SELECT 'THREE' VAL, -4 PAR FROM DUAL UNION ALL
SELECT 'TWO' VAL, 6 PAR FROM DUAL UNION ALL
SELECT 'TWO' VAL, 12 PAR FROM DUAL
SELECT DISTINCT SUM(PAR) OVER(PARTITION BY VAL), VAL CNT FROM TEMP;
Q2
WITH TEMP AS
SELECT 'ONE' VAL, 5 PAR FROM DUAL UNION ALL
SELECT 'ONE' VAL, 7 PAR FROM DUAL UNION ALL
SELECT 'FIVE' VAL, 17 PAR FROM DUAL UNION ALL
SELECT 'FOUR' VAL, 0 PAR FROM DUAL UNION ALL
SELECT 'THREE' VAL, 78 PAR FROM DUAL UNION ALL
SELECT 'THREE' VAL, 34 PAR FROM DUAL UNION ALL
SELECT 'THREE' VAL, -4 PAR FROM DUAL UNION ALL
SELECT 'TWO' VAL, 6 PAR FROM DUAL UNION ALL
SELECT 'TWO' VAL, 12 PAR FROM DUAL
SELECT DISTINCT SUM(PAR) OVER(PARTITION BY VAL ORDER BY PAR) CNT, VAL FROM TEMP;
The only difference between the 2 queries is Q2 has the 'ORDER BY' extra.
For Q2, I was assuming the partitions are ordered by PAR and the SUM is applied over the partition. Obviously, the results prove my assumption is wrong.
So, Q2 is just as good as select * from temp;
Hi,
You're right about "ORDER BY par"; it means that the SUM will be from the lowest value of par up to and including the current row.
I think you're ignoring "PARTITION BY val", which means every distinct value of val will be a world unto itself, not affected by any rows with a different value of val. Since val is different on every row, that means the SUM shown will always be the SUM of just that 1 item, so SUM (par) will indeed be the same as par.
Try it without the PARTITION BY clause.
Similar Messages
-
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 -
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 05:28Nicosa 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
-LearnsequelDoes 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())
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] -
Oracle Analytic Function Issue
Hi, I have created a simple table contaning 3 columns and 3 records.
Insert into MYTABLE (ID, AMOUNT, RESULT) Values (1, 1, 1);
Insert into MYTABLE (ID, AMOUNT, RESULT) Values (2, 4, 1);
Insert into MYTABLE (ID, AMOUNT, RESULT) Values (3, 7, 0);
COMMIT;
I can SUM the AMOUNT using the analytic functions as
SELECT ID, AMOUNT, RESULT, SUM(AMOUNT) OVER() as TOTAL
FROM MYTABLE;
ID AMOUNT RESULT TOTAL
1 1 1 12
2 4 1 12
3 7 0 12
What I want to be able to do is summing the AMOUNTs by RESULT in this case 0 and 1.
To get the following result, how should I rewrite the query?
ID AMOUNT RESULT TOTAL RESULT_0_TOTAL RESULT_1_TOTAL
1 1 1 12 7 5
2 4 1 12 7 5
3 7 0 12 7 5SELECT ID, AMOUNT, RESULT
, SUM(CASE WHEN RESULT = 0 THEN AMOUNT ELSE 0 END) OVER() as TOTAL_0
, SUM(CASE WHEN RESULT = 1 THEN AMOUNT ELSE 0 END) OVER() as TOTAL_1
FROM MYTABLE; -
Analytical functions approach for this scenario?
Here is my data:
SQL*Plus: Release 11.2.0.2.0 Production on Tue Feb 26 17:03:17 2013
Copyright (c) 1982, 2010, Oracle. All rights reserved.
Connected to:
Oracle Database 11g Enterprise Edition Release 11.2.0.2.0 - 64bit Production
With the Partitioning, OLAP, Data Mining and Real Application Testing options
SQL> select * from batch_parameters;
LOW HI MIN_ORDERS MAX_ORDERS
51 100 6 8
121 200 1 5
201 1000 1 1
SQL> select * from orders;
ORDER_NUMBER LINE_COUNT BATCH_NO
4905 154
4899 143
4925 123
4900 110
4936 106
4901 103
4911 101
4902 91
4903 91
4887 90
4904 85
4926 81
4930 75
4934 73
4935 71
4906 68
4907 66
4896 57
4909 57
4908 56
4894 55
4910 51
4912 49
4914 49
4915 48
4893 48
4916 48
4913 48
2894 47
4917 47
4920 46
4918 46
4919 46
4886 45
2882 45
2876 44
2901 44
4921 44
4891 43
4922 43
4923 42
4884 41
4924 40
4927 39
4895 38
2853 38
4890 37
2852 37
4929 37
2885 37
4931 37
4928 37
2850 36
4932 36
4897 36
2905 36
4933 36
2843 36
2833 35
4937 35
2880 34
4938 34
2836 34
2872 34
2841 33
4889 33
2865 31
2889 30
2813 29
2902 28
2818 28
2820 27
2839 27
2884 27
4892 27
2827 26
2837 22
2883 20
2866 18
2849 17
2857 17
2871 17
4898 16
2840 15
4874 13
2856 8
2846 7
2847 7
2870 7
4885 6
1938 6
2893 6
4888 2
4880 1
4875 1
4881 1
4883 1
ORDER_NUMBER LINE_COUNT BATCH_NO
4879 1
2899 1
2898 1
4882 1
4877 1
4876 1
2891 1
2890 1
2892 1
4878 1
107 rows selected.
SQL>The batch_parameters:
hi - high count of lines in the batch.
low - low count of lines in the batch.
min_orders - number of minimum orders in the batch
max_orders - number of maximum orders in the batch.
The issue is to create an optimal size of batches for us to pick the orders. Usually, you have stick within a given low - hi count but, there is a leeway of around let's say 5%percent on the batch size (for the number of lines in the batch).
But, for the number of orders in a batch, the leeway is zero.
So, I have to assign these 'orders' into the optimal mix of batches. Now, for every run, if I don't find the mix I am looking for, then, the last batch could be as small as a one line one order too. But, every Order HAS to be batched in that run. No exceptions.
I have a procedure that does 'sort of' this, but, it leaves non - optimal orders alone. There is a potential of the orders not getting batched, because they didn't fall in the optimal mix potentially missing our required dates. (I can write another procedure that can clean up after).
I was thinking (maybe just a general direction would be enough), with what analytical functions can do these days, if somebody can come up with the 'sql' that gets us the batch number (think of it as a sequence starting at 1).
Also, the batch_parameters limits are not hard and fast. Those numbers can change but, give you a general idea.
Any ideas?Ok, sorry about that. That was just guesstimates. I ran the program and here are the results.
SQL> SELECT SUM(line_count) no_of_lines_in_batch,
2 COUNT(*) no_of_orders_in_batch,
3 batch_no
4 FROM orders o
5 GROUP BY o.batch_no;
NO_OF_LINES_IN_BATCH NO_OF_ORDERS_IN_BATCH BATCH_NO
199 4 241140
99 6 241143
199 5 241150
197 6 241156
196 5 241148
199 6 241152
164 6 241160
216 2 241128
194 6 241159
297 2 241123
199 3 241124
192 2 241132
199 6 241136
199 5 241142
94 7 241161
199 6 241129
154 2 241135
193 6 241154
199 5 241133
199 4 241138
199 6 241146
191 6 241158
22 rows selected.
SQL> select * from orders;
ORDER_NUMBER LINE_COUNT BATCH_NO
4905 154 241123
4899 143 241123
4925 123 241124
4900 110 241128
4936 106 241128
4901 103 241129
4911 101 241132
4903 91 241132
4902 91 241129
4887 90 241133
4904 85 241133
4926 81 241135
4930 75 241124
4934 73 241135
4935 71 241136
4906 68 241136
4907 66 241138
4896 57 241136
4909 57 241138
4908 56 241138
4894 55 241140
4910 51 241140
4914 49 241142
4912 49 241140
4915 48 241142
4916 48 241142
4913 48 241142
4893 48 241143
2894 47 241143
4917 47 241146
4919 46 241146
4918 46 241146
4920 46 241146
2882 45 241148
4886 45 241148
2901 44 241148
2876 44 241148
4921 44 241140
4891 43 241150
4922 43 241150
4923 42 241150
4884 41 241150
4924 40 241152
4927 39 241152
2853 38 241152
4895 38 241152
4931 37 241154
2885 37 241152
4929 37 241154
4890 37 241154
4928 37 241154
2852 37 241154
2843 36 241156
2850 36 241156
4932 36 241156
4897 36 241156
4933 36 241158
2905 36 241156
2833 35 241158
4937 35 241158
4938 34 241158
2880 34 241159
2872 34 241159
2836 34 241158
2841 33 241159
4889 33 241159
2865 31 241159
2889 30 241150
2813 29 241159
2902 28 241160
2818 28 241160
4892 27 241160
2884 27 241160
2820 27 241160
2839 27 241160
2827 26 241161
2837 22 241133
2883 20 241138
2866 18 241148
2849 17 241161
2871 17 241156
2857 17 241158
4898 16 241161
2840 15 241161
4874 13 241146
2856 8 241154
2847 7 241161
2846 7 241161
2870 7 241152
2893 6 241142
1938 6 241161
4888 2 241129
2890 1 241133
2899 1 241136
4877 1 241143
4875 1 241143
2892 1 241136
ORDER_NUMBER LINE_COUNT BATCH_NO
4878 1 241146
4876 1 241136
2891 1 241133
4880 1 241129
4883 1 241143
4879 1 241143
2898 1 241129
4882 1 241129
4881 1 241124
106 rows selected.As you can see, my code is a little buggy in that it may not have followed the strict batch_parameters. But, this is acceptable to be in the general area. -
Yet another question on analytical functions
Hi,
A "simple" issue with date overlapping: I need to display a "y" or "n" where a start time/end time overlaps with another row for the same employee.
For this, I used analytical functions to find out which rows were overlapping. This is what I did:
create table test (id number, emp_id number, date_worked date, start_time date, end_time date);
insert into test values (1, 333, to_date('2008-01-01 00:00:00', 'YYYY-MM-DD HH24:MI:SS'),to_date('2008-01-01 08:00:00', 'YYYY-MM-DD HH24:MI:SS'),to_date('2008-01-01 10:00:00', 'YYYY-MM-DD HH24:MI:SS'));
insert into test values (2, 333, to_date('2008-01-01 00:00:00', 'YYYY-MM-DD HH24:MI:SS'),to_date('2008-01-01 10:00:00', 'YYYY-MM-DD HH24:MI:SS'),to_date('2008-01-01 12:00:00', 'YYYY-MM-DD HH24:MI:SS'));
insert into test values (3, 444, to_date('2008-01-01 00:00:00', 'YYYY-MM-DD HH24:MI:SS'),to_date('2008-01-01 08:00:00', 'YYYY-MM-DD HH24:MI:SS'),to_date('2008-01-01 09:00:00', 'YYYY-MM-DD HH24:MI:SS'));
insert into test values (4, 333, to_date('2008-01-01 00:00:00', 'YYYY-MM-DD HH24:MI:SS'),to_date('2008-01-01 11:00:00', 'YYYY-MM-DD HH24:MI:SS'),to_date('2008-01-01 13:00:00', 'YYYY-MM-DD HH24:MI:SS'));
SQL> select * from test;
ID EMP_ID DATE_WORKED START_TIME END_TIME
1 333 01-01-2008 00:00:00 01-01-2008 08:00:00 01-01-2008 10:00:00
2 333 01-01-2008 00:00:00 01-01-2008 10:00:00 01-01-2008 12:00:00 --> conflict
3 444 01-01-2008 00:00:00 01-01-2008 08:00:00 01-01-2008 09:00:00
4 333 01-01-2008 00:00:00 01-01-2008 11:00:00 01-01-2008 13:00:00 --> conflict Here I see that Employee 333 is scheduled from 10 to 12 am, but it's also scheduled from 11 to 13. This is a conflict.
To find this conflict, I did this (please correct me if this is incorrect):
SQL> select id, emp_id, date_worked, start_time, end_time, next_date
2 from (
3 select lead( start_time, 1 ) over ( partition by emp_id order by start_time ) next_date,
4 start_time, end_time, emp_id, date_worked, id
5 from test
6 )
7 where next_date < end_time;
ID EMP_ID DATE_WORKED START_TIME END_TIME NEXT_DATE
2 333 01-01-2008 00:00:00 01-01-2008 10:00:00 01-01-2008 12:00:00 01-01-2008 11:00:00So far, so good. Where I'm stuck is, I need to display the conflicts in this way:
ID EMP_ID DATE_WORKED START_TIME END_TIME OVERLAPPED
1 333 01-01-2008 00:00:00 01-01-2008 08:00:00 01-01-2008 10:00:00
2 333 01-01-2008 00:00:00 01-01-2008 10:00:00 01-01-2008 12:00:00 yes
3 444 01-01-2008 00:00:00 01-01-2008 08:00:00 01-01-2008 09:00:00
4 333 01-01-2008 00:00:00 01-01-2008 11:00:00 01-01-2008 13:00:00 yes Is there a way I can achieve this?
I tried doing a nested query with a count(*) but no success...I found an issue. Say we insert this row.
insert into test values (5, 333, to_date('2008-01-01 00:00:00', 'YYYY-MM-DD HH24:MI:SS'),to_date('2008-01-01 07:00:00', 'YYYY-MM-DD HH24:MI:SS'),to_date('2008-01-01 08:00:00', 'YYYY-MM-DD HH24:MI:SS'));
SQL> select * from test order by start_time;
ID EMP_ID DATE_WORKED START_TIME END_TIME
5 333 01-01-2008 00:00:00 01-01-2008 07:00:00 01-01-2008 08:00:00
1 333 01-01-2008 00:00:00 01-01-2008 08:00:00 01-01-2008 10:00:00
3 444 01-01-2008 00:00:00 01-01-2008 08:00:00 01-01-2008 09:00:00
2 333 01-01-2008 00:00:00 01-01-2008 10:00:00 01-01-2008 12:00:00 --> conflict
4 333 01-01-2008 00:00:00 01-01-2008 11:00:00 01-01-2008 13:00:00 --> conflictIf I run the SQL suggested by Nicloei, I get:
SQL> select id,
2 emp_id,
3 date_worked,
4 start_time,
5 end_time,
6 Case When end_time > prev_date Or next_date > End_time Then 'Yes' Else 'No' End over_lap
7 from (
8 select lead( start_time, 1 ) over ( partition by emp_id order by start_time ) next_date,
9 lag( start_time, 1 ) over ( partition by emp_id order by start_time ) prev_date,
10 start_time, end_time, emp_id, date_worked, id
11 from test
12 );
ID EMP_ID DATE_WORKED START_TIME END_TIME OVER_LAP
5 333 01-01-2008 00:00:00 01-01-2008 07:00:00 01-01-2008 08:00:00 No
1 333 01-01-2008 00:00:00 01-01-2008 08:00:00 01-01-2008 10:00:00 Yes
2 333 01-01-2008 00:00:00 01-01-2008 10:00:00 01-01-2008 12:00:00 Yes
4 333 01-01-2008 00:00:00 01-01-2008 11:00:00 01-01-2008 13:00:00 Yes
3 444 01-01-2008 00:00:00 01-01-2008 08:00:00 01-01-2008 09:00:00 NoIt's basically saying that there's an overlap between id 1 and id 2 (8-10 and 10-12), which is incorrect. I ran the inner query by itself:
SQL> select lead( start_time, 1 ) over ( partition by emp_id order by start_time ) next_date,
2 lag( start_time, 1 ) over ( partition by emp_id order by start_time ) prev_date,
3 start_time, end_time, emp_id, date_worked, id
4 from test;
NEXT_DATE PREV_DATE START_TIME END_TIME EMP_ID DATE_WORKED ID
01-01-2008 08:00:00 01-01-2008 07:00:00 01-01-2008 08:00:00 333 01-01-2008 00:00:00 5
01-01-2008 10:00:00 01-01-2008 07:00:00 01-01-2008 08:00:00 01-01-2008 10:00:00 333 01-01-2008 00:00:00 1
01-01-2008 11:00:00 01-01-2008 08:00:00 01-01-2008 10:00:00 01-01-2008 12:00:00 333 01-01-2008 00:00:00 2
01-01-2008 10:00:00 01-01-2008 11:00:00 01-01-2008 13:00:00 333 01-01-2008 00:00:00 4
01-01-2008 08:00:00 01-01-2008 09:00:00 444 01-01-2008 00:00:00 3with this data, I can't seem to find a way to conditional test in order to print my overlap column with "yes" or "no" accordingly.
am I missing something? -
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
AlexHi 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 -
Replacing Oracle's FIRST_VALUE and LAST_VALUE analytical functions.
Hi,
I am using OBI 10.1.3.2.1 where, I guess, EVALUATE is not available. I would like to know alternatives, esp. to replace Oracle's FIRST_VALUE and LAST_VALUE analytical functions.
I want to track some changes. For example, there are four methods of travel - Air, Train, Road and Sea. Would like to know traveler's first method of traveling and the last method of traveling in an year. If both of them match then a certain action is taken. If they do not match, then another action is taken.
I tried as under.
1. Get Sequence ID for each travel within an year per traveler as Sequence_Id.
2. Get the Lowest Sequence ID (which should be 1) for travels within an year per traveler as Sequence_LId.
3. Get the Highest Sequence ID (which could be 1 or greater than 1) for travels within an year per traveler as Sequence_HId.
4. If Sequence ID = Lowest Sequence ID then display the method of travel as First Method of Travel.
5. If Sequence ID = Highest Sequence ID then display the method of travel as Latest Method of Travel.
6. If First Method of Travel = Latest Method of Travel then display Yes/No as Match.
The issue is cells could be blank in First Method of Travel and Last Method of Travel unless the traveler traveled only once in an year.
Using Oracle's FIRST_VALUE and LAST_VALUE analytical functions, I can get a result like
Traveler | Card Issue Date | Journey Date | Method | First Method of Travel | Last Method of Travel | Match?
ABC | 01/01/2000 | 04/04/2000 | Road | Road | Air | No
ABC | 01/01/2000 | 15/12/2000 | Air | Road | Air | No
XYZ | 01/01/2000 | 04/05/2000 | Train | Train | Train | Yes
XYZ | 01/01/2000 | 04/11/2000 | Train | Train | Train | Yes
Using OBI Answers, I am getting something like this.
Traveler | Card Issue Date | Journey Date | Method | First Method of Travel | Last Method of Travel | Match?
ABC | 01/01/2000 | 04/04/2000 | Road | Road | <BLANK> | No
ABC | 01/01/2000 | 15/12/2000 | Air | <BLANK> | Air | No
XYZ | 01/01/2000 | 04/05/2000 | Train | Train | <BLANK> | No
XYZ | 01/01/2000 | 04/11/2000 | Train | <BLANK> | Train | No
Above, for XYZ traveler the Match? clearly shows a wrong result (although somehow it's correct for traveler ABC).
Would appreciate if someone can guide me how to resolve the issue.
Many thanks,
Manoj.
Edited by: mandix on 27-Nov-2009 08:43
Edited by: mandix on 27-Nov-2009 08:47Hi,
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. -
Analytic function to retrieve a value one year ago
Hello,
I'm trying to find an analytic function to get a value on another row by looking on a date with Oracle 11gR2.
I have a table with a date_id (truncated date), a flag and a measure. For each date, I have at least one row (sometimes 2), so it is gapless.
I would like to find analytic functions to show for each date :
sum of the measure for that date
sum of the measure one week ago
sum of the measure one year ago
As it is gapless I managed to do it the week doing a group by date in a subquery and using a LAG with offset set to 7 on top of it (see below).
However I'm struggling on how to do that for the data one year ago as we might have leap years. I cannot simply set the offset to 365.
Is it possible to do it with a RANGE BETWEEN window clause? I can't manage to have it working with dates.
Week :LAG with offset 7
SQL Fiddle
or
create table daily_counts
date_id date,
internal_flag number,
measure1 number
insert into daily_counts values ('01-Jan-2013', 0, 8014);
insert into daily_counts values ('01-Jan-2013', 1, 2);
insert into daily_counts values ('02-Jan-2013', 0, 1300);
insert into daily_counts values ('02-Jan-2013', 1, 37);
insert into daily_counts values ('03-Jan-2013', 0, 19);
insert into daily_counts values ('03-Jan-2013', 1, 14);
insert into daily_counts values ('04-Jan-2013', 0, 3);
insert into daily_counts values ('05-Jan-2013', 0, 0);
insert into daily_counts values ('05-Jan-2013', 1, 1);
insert into daily_counts values ('06-Jan-2013', 0, 0);
insert into daily_counts values ('07-Jan-2013', 1, 3);
insert into daily_counts values ('08-Jan-2013', 0, 33);
insert into daily_counts values ('08-Jan-2013', 1, 9);
commit;
select
date_id,
total1,
LAG(total1, 7) OVER(ORDER BY date_id) total_one_week_ago
from
select
date_id,
SUM(measure1) total1
from daily_counts
group by date_id
order by 1;
Year : no idea?
I can't give a gapless example, would be too long but if there is a solution with the date directly :
SQL Fiddle
or add this to the schema above :
insert into daily_counts values ('07-Jan-2012', 0, 11);
insert into daily_counts values ('07-Jan-2012', 1, 1);
insert into daily_counts values ('08-Jan-2012', 1, 4);
Thank you for your help.
FloydHi,
Sorry, I;m not sure I understand the problem.
If you are certain that there is at least 1 row for every day, then you can be sure that the GROUP BY will produce exactly 1 row per day, and you can use LAG (total1, 365) just like you already use LAG (total1, 7).
Are you concerned about leap years? That is, when the day is March 1, 2016, do you want the total_one_year_ago column to reflect March 1, 2015, which was 366 days earlier? If that case, use
date_id - ADD_MONTHS (date_id, -12)
instead of 365.
LAG only works with an exact number, but you can use RANGE BETWEEN with other analytic functions, such as MIN or SUM:
SELECT DISTINCT
date_id
, SUM (measure1) OVER (PARTITION BY date_id) AS total1
, SUM (measure1) OVER ( ORDER BY date_id
RANGE BETWEEN 7 PRECEDING
AND 7 PRECEDING
) AS total1_one_week_ago
, SUM (measure1) OVER ( ORDER BY date_id
RANGE BETWEEN 365 PRECEDING
AND 365 PRECEDING
) AS total1_one_year_ago
FROM daily_counts
ORDER BY date_id
Again, use date arithmetic instead of the hard-coded 365, if that's an issue.
As Hoek said, it really helps to post the exact results you want from the given sample data. You're miles ahead of the people who don't even post the sample data, though.
You're right not to post hundreds of INSERT statements to get a year's data. Here's one way to generate sample data for lots of rows at the same time:
-- Put a 0 into the table for every day in 2012
INSERT INTO daily_counts (date_id, measure1)
SELECT DATE '2011-12-31' + LEVEL
, 0
FROM dual
CONNECT BY LEVEL <= 366 -
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.
-peterafter 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
-
Analytical function fine within TOAD but throwing an error for a mapping.
Hi,
When I validate an expression based on SUM .... OVER PARTITION BY in a mapping, I am getting the following error.
Line 4, Col 23:
PLS-00103: Encountered the symbol "OVER" when expecting one of the following:
* & = - + < / > at in is mod remainder not rem then
<an exponent (**)> <> or != or ~= >= <= <> and or like LIKE2_
LIKE4_ LIKEC_ between || multiset member SUBMULTISET_
However, using TOAD, the expression is working fine.
A staging table has got three columns, col1, col2 and col3. The expression is checking for a word in col3. The expression is as under.
(CASE WHEN SUM (CASE WHEN UPPER(INGRP1.col3) LIKE 'some_value%'
THEN 1
ELSE 0
END) OVER (PARTITION BY INGRP1.col1
,INGRP1.col2) > 0
THEN 'Y'
ELSE 'N'
END)
I searched the forum for similar issues, but not able to resolve my issue.
Could you please let me know what's wrong here?
Many thanks,
Manoj.Yes, expression validation in 10g simply does not work for (i.e. does not recognize) analytic functions.
It can simply be ignored. You should also set Generation mode to "Set Based only". Otherwise the mapping will fail to deploy under certain circumstances (when using non-set-based (PL/SQL) operators after the analytic function).
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