Analytical function help needed
hi i'm using oracle 10g.
CREATE TABLE test100(
hcim VARCHAR2(10 BYTE),
bcim VARCHAR2(10 BYTE),
num VARCHAR2(6 BYTE),
mindate varchar2(10 byte))
insert into test100 values ('03217979','03236915','76120F','10/1/2006')
insert into test100 values ('03217979','03236916','76121F','10/1/2006')
insert into test100 values ('03217979','03236917','76122F','10/1/2006')
insert into test100 values ('03217979','03236918','76123F',null)
insert into test100 values ('03217979','03236919','76124F','11/1/2009')
SELECT hcim
, bcim
, num
, mindate
, Max(TO_DATE(mindate,'MM/DD/YYYY')) OVER (PARTITION BY hcim) AS mindate1
FROM test100
;output:
03217979 03236915 76120F 10/1/2006 11/1/2009
03217979 03236916 76121F 10/1/2006 11/1/2009
03217979 03236919 76124F 11/1/2009 11/1/2009
03217979 03236918 76123F 11/1/2009
03217979 03236917 76122F 10/1/2006 11/1/2009how can i show null in mindate1 column since one of the date value in mindate has a null. Only if there is no nulls then i need to show max(mindate) in mindate1
Thanks in advance
Hi,
Thanks for posting the CREATE TABLE and INSERT statements; that's very helpful.
Do you mean you want mindate1 to be NULL on every row for that hcim, because at least one row in that hcim had a NULL mindate? It would help if you posted the exact results you want. (I was typing this message before your message, clarifying this point, was posted.) It would also help to have a couple of different hcims in the sample data, at least one with a NULL mindate, and another where mindate is never NULL.
I think you want something like this:
SELECT hcim
, bcim
, num
, mindate
, FIRST_VALUE ( TO_DATE (mindate, 'MM/DD/YYYY')
) OVER ( PARTITION BY hcim
ORDER BY TO_DATE (mindate, 'MM/DD/YYYY') DESC NULLS FIRST
) AS mindate1
FROM test100
;Output:
HCIM BCIM NUM MINDATE MINDATE1
03217979 03236916 76121F 10/1/2006
03217979 03236915 76120F 10/1/2006
03217979 03236917 76122F 10/1/2006
03217979 03236919 76124F 11/1/2009
03217979 03236918 76123FStoring dates in a VARCHAR2 column is a really bad idea. Why not use a DATE column? Coding will be simpler, errors will be fewer, and execution will be faster.
Edited by: Frank Kulash on Nov 11, 2011 4:53 PM
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imagine a table test with two columns
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insert into test('a',1, 2);
insert into test('a',2,3);
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insert into test('a',10,15);
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support.datefrom,
support.dateto
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ListToAddAnalyzed_1 as
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dateto,
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datefrom,
decode(sign(nvl(dateto, to_date('01.01.2006', 'dd.mm.yyyy')) -to_date('01.01.2006', 'dd.mm.yyyy')), 0, to_date('01.01.2006', 'dd.mm.yyyy'), -1, dateto, 1, to_date('01.01.2006', 'dd.mm.yyyy'))
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From ListToAddAnalyzed_2
group by requester_i, data_set_id
); -
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Moving sum using date intervals - analytic functions help
let's say you have the following set of data:
DATE SALES
09/02/2012 100
09/02/2012 50
09/02/2012 10
09/02/2012 1000
09/02/2012 20
12/02/2012 1000
12/02/2012 1100
14/02/2012 1000
14/02/2012 100
15/02/2012 112500
15/02/2012 13500
15/02/2012 45000
15/02/2012 1500
19/02/2012 1500
20/02/2012 400
23/02/2012 2000
27/02/2012 4320
27/02/2012 300000
01/03/2012 100
04/03/2012 17280
06/03/2012 100
06/03/2012 100
06/03/2012 4320
08/03/2012 100
13/03/2012 1000
for each day i need to know the sum of the sales in the present and preceding 5 days (calendar) [not five rows].
What qurey could i use???
Please help!Hi.
Here's one way.
WITH data AS
SELECT TO_DATE('09/02/2012','DD/MM/YYYY') d, 100 n FROM DUAL UNION ALL
SELECT TO_DATE('09/02/2012','DD/MM/YYYY') d, 50 n FROM DUAL UNION ALL
SELECT TO_DATE('09/02/2012','DD/MM/YYYY') d, 10 n FROM DUAL UNION ALL
SELECT TO_DATE('09/02/2012','DD/MM/YYYY') d, 1000 n FROM DUAL UNION ALL
SELECT TO_DATE('09/02/2012','DD/MM/YYYY') d, 20 n FROM DUAL UNION ALL
SELECT TO_DATE('12/02/2012','DD/MM/YYYY') d, 1000 n FROM DUAL UNION ALL
SELECT TO_DATE('12/02/2012','DD/MM/YYYY') d, 1100 n FROM DUAL UNION ALL
SELECT TO_DATE('14/02/2012','DD/MM/YYYY') d, 1000 n FROM DUAL UNION ALL
SELECT TO_DATE('14/02/2012','DD/MM/YYYY') d, 100 n FROM DUAL UNION ALL
SELECT TO_DATE('15/02/2012','DD/MM/YYYY') d, 112500 n FROM DUAL UNION ALL
SELECT TO_DATE('15/02/2012','DD/MM/YYYY') d, 13500 n FROM DUAL UNION ALL
SELECT TO_DATE('15/02/2012','DD/MM/YYYY') d, 45000 n FROM DUAL UNION ALL
SELECT TO_DATE('15/02/2012','DD/MM/YYYY') d, 1500 n FROM DUAL UNION ALL
SELECT TO_DATE('19/02/2012','DD/MM/YYYY') d, 1500 n FROM DUAL UNION ALL
SELECT TO_DATE('20/02/2012','DD/MM/YYYY') d, 400 n FROM DUAL UNION ALL
SELECT TO_DATE('23/02/2012','DD/MM/YYYY') d, 2000 n FROM DUAL UNION ALL
SELECT TO_DATE('27/02/2012','DD/MM/YYYY') d, 4320 n FROM DUAL UNION ALL
SELECT TO_DATE('27/02/2012','DD/MM/YYYY') d, 300000 n FROM DUAL UNION ALL
SELECT TO_DATE('01/03/2012','DD/MM/YYYY') d, 100 n FROM DUAL UNION ALL
SELECT TO_DATE('04/03/2012','DD/MM/YYYY') d, 17280 n FROM DUAL UNION ALL
SELECT TO_DATE('06/03/2012','DD/MM/YYYY') d, 100 n FROM DUAL UNION ALL
SELECT TO_DATE('06/03/2012','DD/MM/YYYY') d, 100 n FROM DUAL UNION ALL
SELECT TO_DATE('06/03/2012','DD/MM/YYYY') d, 4320 n FROM DUAL UNION ALL
SELECT TO_DATE('08/03/2012','DD/MM/YYYY') d, 100 n FROM DUAL UNION ALL
SELECT TO_DATE('13/03/2012','DD/MM/YYYY') d, 1000 n FROM DUAL
days AS
SELECT TO_DATE('2012-02-01','YYYY-MM-DD')+(LEVEL-1) d
FROM DUAL
CONNECT BY LEVEL <= 60
totals_per_day AS
SELECT dy.d,SUM(NVL(dt.n,0)) total_day
FROM
data dt,
days dy
WHERE
dy.d = dt.d(+)
GROUP BY dy.d
ORDER BY 1
SELECT
d,
SUM(total_day) OVER
ORDER BY d
RANGE BETWEEN 5 PRECEDING AND CURRENT ROW
) AS five_day_total
FROM totals_per_day;
2012-02-01 00:00:00 0
2012-02-02 00:00:00 0
2012-02-03 00:00:00 0
2012-02-04 00:00:00 0
2012-02-05 00:00:00 0
2012-02-06 00:00:00 0
2012-02-07 00:00:00 0
2012-02-08 00:00:00 0
2012-02-09 00:00:00 1180
2012-02-10 00:00:00 1180
2012-02-11 00:00:00 1180
2012-02-12 00:00:00 3280
2012-02-13 00:00:00 3280
2012-02-14 00:00:00 4380
2012-02-15 00:00:00 175700
2012-02-16 00:00:00 175700
2012-02-17 00:00:00 175700
2012-02-18 00:00:00 173600
2012-02-19 00:00:00 175100
2012-02-20 00:00:00 174400
2012-02-21 00:00:00 1900
2012-02-22 00:00:00 1900
2012-02-23 00:00:00 3900
2012-02-24 00:00:00 3900
2012-02-25 00:00:00 2400
2012-02-26 00:00:00 2000
2012-02-27 00:00:00 306320
2012-02-28 00:00:00 306320
2012-02-29 00:00:00 304320
2012-03-01 00:00:00 304420
2012-03-02 00:00:00 304420
2012-03-03 00:00:00 304420
2012-03-04 00:00:00 17380
2012-03-05 00:00:00 17380
2012-03-06 00:00:00 21900
2012-03-07 00:00:00 21800
2012-03-08 00:00:00 21900
2012-03-09 00:00:00 21900
2012-03-10 00:00:00 4620
2012-03-11 00:00:00 4620
2012-03-12 00:00:00 100
2012-03-13 00:00:00 1100
2012-03-14 00:00:00 1000
2012-03-15 00:00:00 1000
2012-03-16 00:00:00 1000
2012-03-17 00:00:00 1000
2012-03-18 00:00:00 1000
2012-03-19 00:00:00 0
2012-03-20 00:00:00 0
2012-03-21 00:00:00 0
2012-03-22 00:00:00 0
2012-03-23 00:00:00 0
2012-03-24 00:00:00 0
2012-03-25 00:00:00 0
2012-03-26 00:00:00 0
2012-03-27 00:00:00 0
2012-03-28 00:00:00 0
2012-03-29 00:00:00 0
2012-03-30 00:00:00 0
2012-03-31 00:00:00 0Hope this helps.
Regards. -
I am inserting an xml doc into a table with a CLOB column and have a Query such as this inside a dbms_xmlgen function :-
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VRI want to supress the duplicated PROVIDER nodes in the resulting docWhat duplicate nodes are you talking about?:
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group by deptno
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K8N Neo FSR Bios overclocking functions help needed
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Between 31-180days using Sysdate function -Help needed
I am not getting any data in between 31 days and 180days in table
Cust_lst_prch_dt :
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01/20/2009
My query :
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and CUST_LST_PRCH_DT<=trunc(sysdate)-180
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CUST_LST_PRCH_DT BETWEEN trunc(sysdate)-180 AND trunc(sysdate)-31?
I'm guessing you mixed up your lower / upper boundary conditions in your query. However as i said, it's guessing since you've provided very little information. -
TABLE T1(R1_ID,R2,R3)
insert into t1 values(63,800,'1/1/2005')
insert into t1 values(64,841,'1/1/2005')
insert into t1 values(64,862,'1/1/2006')
insert into t1 values(64,879,'4/1/2007')
insert into t1 values(64,952,'4/1/2008')
insert into t1 values(64,980,'2/1/2009')
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insert into t1 values(66,841,'1/1/2005')
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insert into t1 values(66,879,'4/1/2007')
insert into t1 values(66,952,'4/1/2008')
insert into t1 values(66,980,'2/1/2009')
insert into t1 values(66,1010,'2/1/2010')
insert into t1 values(66,1042,'2/1/2011')
insert into t1 values(67,841,'1/1/2005')
insert into t1 values(67,862,'1/1/2006')
insert into t1 values(67,879,'4/1/2007')
insert into t1 values(67,952,'4/1/2008')
insert into t1 values(67,980,'2/1/2009')
insert into t1 values(67,1009,'2/1/2010')
insert into t1 values(67,1035,'2/1/2011')
insert into t1 values(112,3660,'1/1/2005')
insert into t1 values(112,3806,'1/1/2006')
insert into t1 values(112,4500,'8/1/2006')
insert into t1 values(112,7280,'3/1/2007')
insert into t1 values(112,8600,'2/1/2008')
insert into t1 values(112,8818,'5/1/2008')
insert into t1 values(112,9170,'2/1/2009')
insert into t1 values(112,9489,'2/1/2010')
insert into t1 values(112,9778,'2/1/2011')
insert into t1 values(537,7000,'11/27/2005')
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SELECT distinct R1_ID,MAX(R2) OVER(PARTITION BY R1_ID),MAX(R3) OVER(PARTITION BY R1_ID)
FROM T1
order by R1_ID
I WANT MAX OF R2 & R3 IN ONE SQL STATEMENT. IS THAT POSSIBLE?
ALTHOUGH I CAN WRITE A SUBQUERY WITH R3 TO GET THE RESULT.with temp as(
SELECT R1_ID,R2,R3,
row_number() over(partition by R1_ID
order by R2 desc,R3 desc) rn
FROM T1)
select * from tmp where rn=1 order by R1_ID -
I need help with Analytic Function
Hi,
I have this little problem that I need help with.
My datafile has thousands of records that look like...
Client_Id Region Countries
[1] [1] [USA, Canada]
[1] [2] [Australia, France, Germany]
[1] [3] [China, India, Korea]
[1] [4] [Brazil, Mexico]
[8] [1] [USA, Canada]
[9] [1] [USA, Canada]
[9] [4] [Argentina, Brazil]
[13] [1] [USA, Canada]
[15] [1] [USA]
[15] [4] [Argentina, Brazil]
etc
My task is is to create a report with 2 columns - Client_Id and Countries, to look something like...
Client_Id Countries
[1] [USA, Canada, Australia, France, Germany, China, India, Korea, Brazil, Mexico]
[8] [USA, Canada]
[9] [USA, Canada, Argentina, Brazil]
[13] [USA, Canada]
[15] [USA, Argentina, Brazil]
etc.
How can I achieve this using Analytic Function(s)?
Thanks.
BDFHi,
That's called String Aggregation , and the following site shows many ways to do it:
http://www.oracle-base.com/articles/10g/StringAggregationTechniques.php
Which one should you use? That depends on which version of Oracle you're using, and your exact requirements.
For example, is order importatn? You said the results shoudl include:
CLIENT_ID COUNTRIES
1 USA, Canada, Australia, France, Germany, China, India, Korea, Brazil, Mexicobut would you be equally happy with
CLIENT_ID COUNTRIES
1 Australia, France, Germany, China, India, Korea, Brazil, Mexico, USA, Canadaor
CLIENT_ID COUNTRIES
1 Australia, France, Germany, USA, Canada, Brazil, Mexico, China, India, Korea?
Mwalimu wrote:
... How can I achieve this using Analytic Function(s)?The best solution may not involve analytic functions at all. Is that okay?
If you'd like help, post your best attempt, a little sample data (CREATE TABLE and INSERT statements), the results you want from that data, and an explanation of how you get those results from that data.
Always say which version of Oracle you're using.
Edited by: Frank Kulash on Aug 29, 2011 3:05 PM -
Help needed with analytical function
I want to get the employee details of the highest and 2nd highest salaried employee in a particular department. But also the department should have more than 1 employee.
I tried the query and it gave me proper results. But I'm wondering if there is some other alternative than using the subquery.
Here is the table and the result query :
with t as
select 1 emp_id,3 mgr_id,'Rajesh' emp_name,3999 salary,677 bonus,'HR' dpt_nme from dual union
select 2 ,3 ,'Gangz',4500,800,'Finance' from dual union
select 3 ,4 ,'Sid',8000,12000,'IT' from dual union
select 4 ,null,'Ram',5000,677,'HR' from dual union
select 5 ,4,'Shyam',6000,677,'IT' from dual union
select 6 ,4 ,'Ravi',9000,12000,'IT' from dual
select * from
(select emp_id, mgr_id, emp_name, dpt_nme, salary, row_number() over (partition by dpt_nme order by salary desc) rn from t where dpt_nme in
(select dpt_nme from t group by dpt_nme having count(*) > 1)) where rn < 3Hi,
You need a sub-query, but you don't need more than that.
Here's one way to eliminate the extra sub-query:
WITH got_analytics AS
SELECT emp_id, mgr_id, emp_name, dpt_nme, salary
, ROW_NUMBER () OVER ( PARTITION BY dpt_nme
ORDER BY salary DESC
) AS rn
, COUNT (*) OVER ( PARTITION BY dpt_nme
) AS dpt_cnt
FROM t
SELECT emp_id, mgr_id, emp_name, dpt_nme, salary
, rn
FROM got_analytics
WHERE rn < 3
AND dpt_cnt > 1
;Analytic functions are computed after the WHERE clause is applied. Since we need to use the results of the analytic ROW_NUMBER function in a WHERE clause, that means we'll have to compute ROW_NUMBER in a sub-query, and use the results in the WHERE clause of the main query. We can call the analytic COUNT function in the same sub-query, and use its results in the same WHERE clause of the main query.
What results would you want if there's a tie for the 2nd highest salary in some department? For example, if you add this row to your sample data:
select 7 ,3 ,'Sunil',8000,12000,'IT' from dual union? You may want to use RANK instead of ROW_NUMBER. -
Need some kind of Analytical Function
Hi Oracle experts
I need a little help from you experts. I have a PARTY table as listed below
The existing data
Party key ID_INTERNAL EID BID
1 11111 123
1 11111 321
1 22222 321 899
1 66666 ------ 888
New records comes
I have to assign a party key to each record based on which attribute is matching
Now the situation is as new records comes.
New records comes
ID_INTERNAL EID BID
22222 555
44444 555
89898 ------ 888
If I match on ID_INTERNAL I may not be able to match ID_INTERNAL 44444 and 89898 and if I match EID or BID the same situation.
Is thera any analytical function which helps me assigning a party key to all the recoords. ALl the above records should be assigned PARTY KEY 1 only.
Please help
Thanks
RajeshJustin
My main goal is to assign a party key from existing set of records to the new records which are being selected/inserted. I have to write my algoritum in such a way that the new values should match their value in existing records.
Example
my first new record has a value of 11111 under ID_INTERNAL and in the same record it has a value of 555 under EID attribute. so based on matching algoritum for ID INTERNAL it will be assigned existing party key 1.
Similarly second new record has a value of 87777 under ID INTERNAL and has a value of 555 under EID and this ID INTERNAL does not exists in the target table. but the value of 555 is available under EID attribute so I have to write algoritum based on EID.
Now the delima is my target table is as follows
Party key PARTYID PARTYNAME
1 11111 ITSID
1 123 EID
1 321 EID
Now when new records come I have to write match algortium for ID_INTERNAL to PARTYID for Partyname='ITSID'
Once matched this record ID INTERNAL=11111 and EID =555 assigned a party key=1. So after first record the output table slooks like
Party key PARTYID PARTYNAME
1 11111 ITSID
1 123 EID
1 321 EID
1 555 EID
Same way for second new record where the values are ID_INTERNAL=87777 and EID=555. I have to write match algortium based on EID because the EID value of 555 already exists in target tabel with party key.
SO after second record the target table will look like
Party key PARTYID PARTYNAME
1 11111 ITSID
1 123 EID
1 321 EID
1 555 EID
1 87777 ITSID
So this is how I have to solve this match algoritum.
Please help me if you need any information I will be glad to provide you all.
Thanks
Regards
Rajesh -
I successfully use the following analytical function to sum all net_movement of a position (key for a position: bp_id, prtfl_num, instrmnt_id, cost_prc_crncy) from first occurrence until current row:
SELECT SUM (net_movement) OVER (PARTITION BY bp_id, prtfl_num, instrmnt_id, cost_prc_crncy ORDER BY TRUNC (val_dt) RANGE BETWEEN UNBOUNDED PRECEDING AND 0 FOLLOWING) holding,
what i need is another column to sum net_movement of a position but only for the current date, but all my approaches fail..
- add the date (val_dt) to the 'partition by' clause and therefore sum only values with same position and date
SELECT SUM (net_movement) OVER (PARTITION BY val_dt, bp_id, prtfl_num, instrmnt_id, cost_prc_crncy ORDER BY TRUNC (val_dt) RANGE BETWEEN UNBOUNDED PRECEDING AND 0 FOLLOWING) today_net_movement
- take the holding for the last date and subtract it from the current holding afterwards
SELECT SUM (net_movement) OVER (PARTITION BY bp_id, prtfl_num, instrmnt_id, cost_prc_crncy ORDER BY TRUNC (val_dt) RANGE BETWEEN UNBOUNDED PRECEDING AND -1 FOLLOWING) last_holding,
- using lag on the analytical function which calculates holding fails too
I also want to avoid creating a table which stores the last holding..
Does anyone sees where I make a mistake or knows an alternative to get this value?
It would help me much!
Thanks in advance!Thank you,
but I already tried that but it returns strange values which are not the correct ones for sure.
It is always the same value for each row, if its not 0, and a very high one (500500 for example), even if the sum of all net_movement of that date is 0 (and the statement for holding returns 0 too)
I also tried witch trunc(val_dt,'DDD') with the same result (without trunc it is the same issue)
please help if you can, thanks in advance! -
Need analytic function suggestion
Hi,
I need advice related to analytic ( I think ) function in Oracle 9.
create table testx ( id number, arr number, fore number, actual number, result_x number, is_first number);
insert into testx values ( 1, null, null, 12, null , 0 );
insert into testx values ( 2, null, null, 14 , null, 0 );
insert into testx values ( 3, 4, 5, 16, 16, 1 );
insert into testx values ( 4, 5, 5, 18, 16, 0 );
insert into testx values ( 5, 5, 5, 20, 16, 0 );
insert into testx values ( 6, 5, 5, 22, 16, 0 );
insert into testx values ( 7, 5, 5, 24, 16, 0 );
insert into testx values ( 8, 5, 5, 25, 16, 0 );
insert into testx values ( 9, 5, 8, 25, 13, 0 );
insert into testx values ( 10, 5, 8, 21, 10, 0 );
insert into testx values ( 11, 5, 8, 19, 7, 0 );
insert into testx values ( 12, 5, 8, 18, 4, 0 );
I need ONE level query ( no subqueries ) which will calculate value stored in RESULT_X column.
Rule for calculation is:
1. when arr and fore columns are available first time then result_x = actual ( row with id = 3)
2. in other case result_x = (previous value of result_x + arr - fore )
3. order of records is stored in id column
I have problem with calculating previous value of result_x since it should be available in next row calculation and dependents on other columns values.
Thanks for help,
Regards,
PiotrHi, Piotr,
This produces the results you requested:
SELECT testx.*
, SUM ( CASE
WHEN is_first = 1
THEN result_x
ELSE arr - fore
END
) OVER (ORDER BY id) AS computed_result_x
FROM testx
ORDER BY id
;This relies on the fact that there is only one row where is_first=1, and that all the earlier rows have NULL as arr or fore.
If that's not the case in your real data, then I don't think it's possible in SQL without sub-queries. Why can't you use a sub-query?
The problem is that rows up to the one with is_first=1 have to be treated differently from rows after that point, so ithe CASE expression might need to know if a given row is before or after the one with is_first=1. If you need an analytic function to determine that, then you need a sub-query, becuase analytic functions can not be nested.
You could use MODEL or a recursive WITH clause to get the results you want, but they require sub-querries. -
About FIRST_ROW analytic function; can anyone help?
Hi everyone,
Can anyone help me with this simple query?
Let's suppose I have this query (the with clause contains some data):
WITH T AS (
SELECT 'TEST' as COL1, 1 as COL2, 'z' as COL3 FROM dual
UNION ALL
SELECT 'TEST', 2, 'y' FROM dual
UNION ALL
SELECT 'TEST', 2, 'h' FROM dual
SELECT FIRST_VALUE(COL1) OVER (PARTITION BY COL1), COL2, COL3
FROM T;I would like to have only the first row returned. I was thinking that with FIRST_VALUE it will be possible, but it returns 3 records.
So can anyone help me to have only the first record returned?
TEST 1 zThis is just a simple example. In reality I have thousands of records. I need to get only the first record based on the name (TEST in this example). We don't really care about the other columns.
Thanks for your help,user13117585 wrote:
I would like to have only the first row returned. I was thinking that with FIRST_VALUE it will be possible, but it returns 3 records. Analytic functions don't filter rows, they just calculate values from some part of the result set.
Aggregating is the most efficient way of doing this query:
SQL> WITH T AS (
2 SELECT 'TEST' as COL1, 1 as COL2, 'z' as COL3 FROM dual
3 UNION ALL
4 SELECT 'TEST', 2, 'y' FROM dual
5 UNION ALL
6 SELECT 'TEST', 2, 'h' FROM dual
7 )
8 select col1
9 , min(col2) col2
10 , max(col3) keep (dense_rank first order by col2) col3
11 from t
12 group by col1
13 /
COL1 COL2 C
TEST 1 z
1 row selected.Regards,
Rob. -
Hi,
Please find below table structure and insert scritps. Requesting for vluable help.
create table temp2 (col1 number,col2 varchar2(10),col3 number,col4 varchar2(20));
insert into temp2 values (1,'a',100,'vvv');
insert into temp2 values (2,'b',200,'www');
insert into temp2 values (3,'c',300,'xxx');
insert into temp2 values (4,'d',400,'yyy');
insert into temp2 values (5,'e',500,'zzz');
insert into temp2 values (6,'f',600,'aaa');
insert into temp2 values (7,'g',700,'bbb');
insert into temp2 values (8,'h',800,'ccc');
I am trying to get same output, what we get from below UNION query with ANALYTICAL Function.
select * from temp2 where col1 in (1,2,3,4,5)
union
select * from temp2 where col1 in (1,2,5,6)
union
select * from temp2 where col1 in (1,2,7,8);
I am seeking help by this dummy example to understand the concept, how can we use analytical functional over UNION or OUTER JOINS.
In my exact query, I am using same table three times adding UNION clause. here also we scan temp2 three times, so for bulky tables using 'union' would be hampering query's performance
It means i go with three time scans of same table that is not performance oriented. With the help of above required concept, i will try to remove UNIONs from my exact query.
Thanks!!Thanks for your time BluShadow and sorry as i think i couldn't make my query clear.
I try it again. Below there are three queries, you may see all three queries are using same tables. Difference in all three queries are just few conditions, which makes all three queries diff with each other.
I know, u cant run below query in your database, but i think it will convey my doubt to you. I have mentioned no. of rows with each clause and total i am getting 67 rows as my output. (Reason may be first n third query's result set are the subset of Second Query dataset)
So i want to take all common rows as well as additional rows, if present in any of the query. This is getting easliy done with UNION clause but want to have it in other way as here my same is getting scanned again n again.
SELECT
START_TX.FX_TRAN_ID START_FX_TRAN_ID
,END_TX.FX_TRAN_ID END_FX_TRAN_ID
,START_TX.ENTERED_DT_TS
,USER
,START_TX.TRADE_DT
,START_TX.DEAL_NUMBER
,START_TX.FX_DEAL_TYPE
,START_TX.ORIENTATION_BUYSELL
,START_TX.BASE_CCY
,START_TX.BASE_CCY_AMT
,START_TX.SECONDARY_CCY
,START_TX.SECONDARY_CCY_AMT
,START_TX.MATURITY_DT
,START_TX.TRADE_RT
,START_TX.FORWARD_PTS
,START_TX.CORPORATE_PIPS
,START_TX.DEAL_OWNER_INITIALS
,START_TX.CORPORATE_DEALER
,START_TX.PROFIT_CENTER_CD
,START_TX.COUNTERPARTY_NM
,START_TX.COUNTERPARTY_NUMBER
FROM
(SELECT * FROM FX_TRANSACTIONS WHERE GMT_CONV_ENTERED_DT_TS >= TO_DATE('20-Nov-2013 4:00:01 AM','DD-Mon-YYYY HH:MI:SS AM')) START_TX
INNER JOIN
(SELECT * FROM FX_TRANSACTIONS WHERE GMT_CONV_ENTERED_DT_TS <= TO_DATE('20-Nov-2013 4:59:59 PM','DD-Mon-YYYY HH:MI:SS AM')) END_TX
ON START_TX.COUNTERPARTY_NM = END_TX.COUNTERPARTY_NM AND
START_TX.COUNTERPARTY_NUMBER = END_TX.COUNTERPARTY_NUMBER AND
START_TX.FX_DEAL_TYPE = END_TX.FX_DEAL_TYPE AND
START_TX.BASE_CCY = END_TX.BASE_CCY AND
START_TX.SECONDARY_CCY = END_TX.SECONDARY_CCY AND
NVL(START_TX.CORPORATE_DEALER,'nullX')=NVL(END_TX.CORPORATE_DEALER,'nullX') AND
START_TX.ORIENTATION_BUYSELL='B' AND
END_TX.ORIENTATION_BUYSELL='S' AND
START_TX.FX_TRAN_ID = 1850718 AND
(START_TX.BASE_CCY_AMT = END_TX.BASE_CCY_AMT
OR
START_TX.SECONDARY_CCY_AMT = END_TX.SECONDARY_CCY_AMT) -- 10 Rows
UNION
SELECT
START_TX.FX_TRAN_ID START_FX_TRAN_ID
,END_TX.FX_TRAN_ID END_FX_TRAN_ID
,START_TX.ENTERED_DT_TS
,USER
,START_TX.TRADE_DT
,START_TX.DEAL_NUMBER
,START_TX.FX_DEAL_TYPE
,START_TX.ORIENTATION_BUYSELL
,START_TX.BASE_CCY
,START_TX.BASE_CCY_AMT
,START_TX.SECONDARY_CCY
,START_TX.SECONDARY_CCY_AMT
,START_TX.MATURITY_DT
,START_TX.TRADE_RT
,START_TX.FORWARD_PTS
,START_TX.CORPORATE_PIPS
,START_TX.DEAL_OWNER_INITIALS
,START_TX.CORPORATE_DEALER
,START_TX.PROFIT_CENTER_CD
,START_TX.COUNTERPARTY_NM
,START_TX.COUNTERPARTY_NUMBER
FROM
(SELECT * FROM FX_TRANSACTIONS WHERE GMT_CONV_ENTERED_DT_TS >= TO_DATE('20-Nov-2013 4:00:01 AM','DD-Mon-YYYY HH:MI:SS AM')) START_TX
INNER JOIN
(SELECT * FROM FX_TRANSACTIONS WHERE GMT_CONV_ENTERED_DT_TS <= TO_DATE('20-Nov-2013 4:59:59 PM','DD-Mon-YYYY HH:MI:SS AM')) END_TX
ON START_TX.COUNTERPARTY_NM = END_TX.COUNTERPARTY_NM AND
START_TX.COUNTERPARTY_NUMBER = END_TX.COUNTERPARTY_NUMBER AND
START_TX.FX_DEAL_TYPE = END_TX.FX_DEAL_TYPE AND
START_TX.BASE_CCY = END_TX.BASE_CCY AND
START_TX.SECONDARY_CCY = END_TX.SECONDARY_CCY AND
NVL(START_TX.CORPORATE_DEALER,'nullX')=NVL(END_TX.CORPORATE_DEALER,'nullX') AND
START_TX.FX_TRAN_ID = 1850718 AND
START_TX.ORIENTATION_BUYSELL='B' AND
END_TX.ORIENTATION_BUYSELL='S' -- 67 Rows
UNION
SELECT
START_TX.FX_TRAN_ID START_FX_TRAN_ID
,END_TX.FX_TRAN_ID END_FX_TRAN_ID
,START_TX.ENTERED_DT_TS
,USER
,START_TX.TRADE_DT
,START_TX.DEAL_NUMBER
,START_TX.FX_DEAL_TYPE
,START_TX.ORIENTATION_BUYSELL
,START_TX.BASE_CCY
,START_TX.BASE_CCY_AMT
,START_TX.SECONDARY_CCY
,START_TX.SECONDARY_CCY_AMT
,START_TX.MATURITY_DT
,START_TX.TRADE_RT
,START_TX.FORWARD_PTS
,START_TX.CORPORATE_PIPS
,START_TX.DEAL_OWNER_INITIALS
,START_TX.CORPORATE_DEALER
,START_TX.PROFIT_CENTER_CD
,START_TX.COUNTERPARTY_NM
,START_TX.COUNTERPARTY_NUMBER
FROM
(SELECT * FROM FX_TRANSACTIONS WHERE GMT_CONV_ENTERED_DT_TS >= TO_DATE('20-Nov-2013 4:00:01 AM','DD-Mon-YYYY HH:MI:SS AM')) START_TX
INNER JOIN
(SELECT * FROM FX_TRANSACTIONS WHERE GMT_CONV_ENTERED_DT_TS <= TO_DATE('20-Nov-2013 4:59:59 PM','DD-Mon-YYYY HH:MI:SS AM')) END_TX
ON START_TX.COUNTERPARTY_NM = END_TX.COUNTERPARTY_NM AND
START_TX.COUNTERPARTY_NUMBER = END_TX.COUNTERPARTY_NUMBER AND
START_TX.FX_DEAL_TYPE = END_TX.FX_DEAL_TYPE AND
START_TX.BASE_CCY = END_TX.BASE_CCY AND
START_TX.SECONDARY_CCY = END_TX.SECONDARY_CCY AND
NVL(START_TX.CORPORATE_DEALER,'nullX')=NVL(END_TX.CORPORATE_DEALER,'nullX') AND
START_TX.ORIENTATION_BUYSELL='B' AND
END_TX.ORIENTATION_BUYSELL='S' AND
START_TX.FX_TRAN_ID = 1850718 AND
END_TX.BASE_CCY_AMT BETWEEN (START_TX.BASE_CCY_AMT - (START_TX.BASE_CCY_AMT * :PERC_DEV/100)) AND (START_TX.BASE_CCY_AMT + (START_TX.BASE_CCY_AMT * :PERC_DEV/100))
OR
END_TX.SECONDARY_CCY_AMT BETWEEN (START_TX.SECONDARY_CCY_AMT - (START_TX.SECONDARY_CCY_AMT*:PERC_DEV/100) ) AND (START_TX.SECONDARY_CCY_AMT + (START_TX.SECONDARY_CCY_AMT*:PERC_DEV/100))
); --- 10 Rows
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