Analytical function to filter query

Source dataset for one of policy
PC_COVKEY POLICY_NUMBER TERM_IDENT COVERAGE_NUMBER TRANSACTION_TYPE COV_CHG_EFF_DATE TIMESTAMP_ENTERED
10695337P3021MC0020012     10695337P3     021     002     02     22/OCT/2011     22/SEP/2011 03:10:12.523408 AM
10695337P3021MC0010012     10695337P3     021     001     02     22/OCT/2011     22/SEP/2011 03:10:12.523508 AM
10695337P3021MC0040012     10695337P3     021     004     02     22/OCT/2011     22/SEP/2011 03:10:12.864153 AM
10695337P3021MC0040032     10695337P3     021 004     03     22/OCT/2011     22/SEP/2011 03:10:12.865153 AM
10695337P3021MC0050012     10695337P3     021     005     02     22/OCT/2011     22/SEP/2011 03:10:12.976483 AM
10695337P3021MC0020042     10695337P3     021     002     09     22/NOV/2011     16/FEB/2012 02:26:00.606435 PM
10695337P3021MC0040042     10695337P3     021     004     09     22/NOV/2011     16/FEB/2012 02:26:00.135059 PM
10695337P3021MC0050042     10695337P3     021     005     09     22/NOV/2011     16/FEB/2012 02:26:00.253340 PM
10695337P3021MC0020042     10695337P3     021     002     03     22/NOV/2011     16/FEB/2012 02:26:00.363340 PM
10695337P3021MC0040032     10695337P3     021     004     03     29/DEC/2011     16/FEB/2012 02:26:00.463340 PM *
10695337P3021MC0050032     10695337P3     021     005     03     29/DEC/2011     16/FEB/2012 02:26:00.563340 PM *
10695337P3021MC0020012     10695337P3     021     001     03     30/DEC/2011     16/FEB/2012 02:26:00.663340 PM
Filter records
10695337P3021MC0040032     10695337P3     021     004     03     29/DEC/2011     29/DEC/2011 11:21:27.745431 AM
10695337P3021MC0050032     10695337P3     021     005     03     29/DEC/2011     29/DEC/2011 11:24:55.484547 AM
Rule:
Should filter rows with transaction_type 03 that appear after transaction type '09' or '10' for the each COVERAGE_NUMBER on different COV_CHG_EFF_DATE date. In the above example, 002, 004 and 005 cover are closed (transaction 09) and followed by 4 records with transaction 03.
Out of which only 2 records should filter because cover (04 and 05) are closed and on different COV_CHG_EFF_DATE date.

Hi,
966820 wrote:
Source dataset for one of policy
PC_COVKEY POLICY_NUMBER TERM_IDENT COVERAGE_NUMBER TRANSACTION_TYPE COV_CHG_EFF_DATE TIMESTAMP_ENTERED
10695337P3021MC0020012     10695337P3     021     002     02     22/OCT/2011     22/SEP/2011 03:10:12.523408 AMAs you learned in your last message, {message:id=10649022} , you need to post CREATE TABLE and INSERT statements for the sample data.
Please read the forum FAQ {message:id=9360002}
... Filter records
10695337P3021MC0040032     10695337P3     021     004     03     29/DEC/2011     29/DEC/2011 11:21:27.745431 AM
10695337P3021MC0050032     10695337P3     021     005     03     29/DEC/2011     29/DEC/2011 11:24:55.484547 AMWhat are "filter records"? Are they the results you want? Are they rows in another table? Are they rows in the same table? If so, how can you tell if a row is a "filter record" or not?
If the rows above are not the results you want, what are the correct results? Post them, formatted, between \ tags.
Rule:
Should filter rows with transaction_type 03 that appear after transaction type '09' or '10' for the each COVERAGE_NUMBER on different COV_CHG_EFF_DATE date. In the above example, 002, 004 and 005 cover are closed (transaction 09) and followed by 4 records with transaction 03.
Out of which only 2 records should filter because cover (04 and 05) are closed and on different COV_CHG_EFF_DATE date.LAST_VALUE, as used in your last message, can help here.
You should be able to do most of this query yourself by now. Post your best attempt, and a specifc question about the trouble you're having with the remainder.

Similar Messages

Looking for Analytical function to filter query

Source dataset for one of policy
PC_COVKEY     POLICY_NUMBER     TERM_IDENT     COVERAGE_NUMBER     TRANSACTION_TYPE     COV_CHG_EFF_DATE     TIMESTAMP_ENTERED
10897523P7013MC0010072     10897523P7     013     001     10     17/NOV/2008     20/NOV/2008 05:36:45.482025 PM
10897523P7013MR0030062     10897523P7     013     003     10     17/NOV/2008     20/NOV/2008 05:36:45.514349 PM
10897523P7013MC0010062     10897523P7     013     001     03     20/NOV/2008     20/NOV/2008 05:26:13.205097 PM
10897523P7013MR0030052     10897523P7     013     003     03     20/NOV/2008     20/NOV/2008 05:26:42.587605 PM
10897523P7013MC0010082     10897523P7     013     001     07     20/NOV/2008     20/NOV/2008 05:36:51.605820 PM
10897523P7013MR0030072     10897523P7     013     003     07     20/NOV/2008     20/NOV/2008 05:36:51.971094 PM
10897523P7013MC0010092     10897523P7     013     001     03     20/NOV/2008     23/MAR/2010 04:00:21.801816 PM
10897523P7013MR0030082     10897523P7     013     003     03     20/NOV/2008     23/MAR/2010 04:03:01.402111 PM
Filter records
10897523P7013MC0010062     10897523P7     013     001     03     20/NOV/2008     20/NOV/2008 05:26:13.205097 PM
10897523P7013MR0030052     10897523P7     013     003     03     20/NOV/2008     20/NOV/2008 05:26:42.587605 PM
Rule:
Row with transaction_type 03's after a group 09 or 10 before the next 07 or 06

Like this?
with t
as
select '10897523P7013MC0010072' pc_covkey, '10897523P7' policy_number, '013' term_ident, '001' coverage_number, '10' transaction_type,     to_date('17/NOV/2008', 'dd/MON/yyyy') cov_chg_eff_date, to_timestamp('20/NOV/2008 05:36:45.482025 PM', 'dd/MON/yyyy hh:mi:ss.ff PM') timestamp_entered from dual
union all
select '10897523P7013MR0030062' pc_covkey, '10897523P7' policy_number, '013' term_ident, '003' coverage_number, '10' transaction_type,     to_date('17/NOV/2008', 'dd/MON/yyyy') cov_chg_eff_date, to_timestamp('20/NOV/2008 05:36:45.514349 PM', 'dd/MON/yyyy hh:mi:ss.ff PM') timestamp_entered from dual
union all
select '10897523P7013MC0010062' pc_covkey, '10897523P7' policy_number, '013' term_ident, '001' coverage_number, '03' transaction_type,     to_date('20/NOV/2008', 'dd/MON/yyyy') cov_chg_eff_date, to_timestamp('20/NOV/2008 05:26:13.205097 PM', 'dd/MON/yyyy hh:mi:ss.ff PM') timestamp_entered from dual
union all
select '10897523P7013MR0030052' pc_covkey, '10897523P7' policy_number, '013' term_ident, '003' coverage_number, '03' transaction_type,     to_date('20/NOV/2008', 'dd/MON/yyyy') cov_chg_eff_date, to_timestamp('20/NOV/2008 05:26:42.587605 PM', 'dd/MON/yyyy hh:mi:ss.ff PM') timestamp_entered from dual
union all
select '10897523P7013MC0010082' pc_covkey, '10897523P7' policy_number, '013' term_ident, '001' coverage_number, '07' transaction_type,     to_date('20/NOV/2008', 'dd/MON/yyyy') cov_chg_eff_date, to_timestamp('20/NOV/2008 05:36:51.605820 PM', 'dd/MON/yyyy hh:mi:ss.ff PM') timestamp_entered from dual
union all
select '10897523P7013MR0030072' pc_covkey, '10897523P7' policy_number, '013' term_ident, '003' coverage_number, '07' transaction_type,     to_date('20/NOV/2008', 'dd/MON/yyyy') cov_chg_eff_date, to_timestamp('20/NOV/2008 05:36:51.971094 PM', 'dd/MON/yyyy hh:mi:ss.ff PM') timestamp_entered from dual
union all
select '10897523P7013MC0010092' pc_covkey, '10897523P7' policy_number, '013' term_ident, '001' coverage_number, '03' transaction_type,     to_date('20/NOV/2008', 'dd/MON/yyyy') cov_chg_eff_date, to_timestamp('23/MAR/2010 04:00:21.801816 PM', 'dd/MON/yyyy hh:mi:ss.ff PM') timestamp_entered from dual
union all
select '10897523P7013MR0030082' pc_covkey, '10897523P7' policy_number, '013' term_ident, '003' coverage_number, '03' transaction_type,     to_date('20/NOV/2008', 'dd/MON/yyyy') cov_chg_eff_date, to_timestamp('23/MAR/2010 04:03:01.402111 PM', 'dd/MON/yyyy hh:mi:ss.ff PM') timestamp_entered from dual
select *
from (
          select lag(transaction_type) over(order by cov_chg_eff_date, timestamp_entered) prev,
                 lead(transaction_type) over(order by cov_chg_eff_date, timestamp_entered) post,
                 t.*
            from t
where transaction_type = '03'
   and prev in ('03', '09', '10')
   and post in ('03', '07', '06')

From analytical function to regular query

Hi all,
I was reading a tutorial for analytical function and i found something like this
sum(princial) keep(dense_rank first order by d_date) over partition by (userid, alias, sec_id, flow, p_date)
can somebody translate this into simple queries / subquery? i am aware that analytical function are faster but i would like to know
how this can translate to regular query.
can someone help me writing a regular query that will be produce same result as query above?
. thanks
Edited by: Devx on Jun 10, 2010 11:16 AM

Hi,
WITH CUSTOMERS AS
SELECT 1 CUST_ID ,'NJ' STATE_CODE,1 TIMES_PURCHASED FROM DUAL UNION ALL
SELECT 1,'CT',1 FROM DUAL UNION ALL
SELECT 2,'NY',10 FROM DUAL UNION ALL
SELECT 2,'NY',10 FROM DUAL UNION ALL
SELECT 1,'CT',10 FROM DUAL UNION ALL
SELECT 3,'NJ',2 FROM DUAL UNION ALL
SELECT 4,'NY',4 FROM DUAL
SELECT SUM(TIMES_PURCHASED) KEEP(DENSE_RANK FIRST ORDER BY CUST_ID ASC) OVER (PARTITION BY STATE_CODE) SUM_TIMES_PURCHASED_WITH_MIN,
       SUM(TIMES_PURCHASED) KEEP(DENSE_RANK LAST ORDER BY CUST_ID) OVER (PARTITION BY STATE_CODE) SUM_TIMES_PURCHASED_WITH_MAX,
       C.*
FROM   CUSTOMERS C;
SUM_TIMES_PURCHASED_WITH_MIN     SUM_TIMES_PURCHASED_WITH_MAX     CUST_ID     STATE_CODE     TIMES_PURCHASED
11     11     1     CT     10
11     11     1     CT     1
1     2     3     NJ     2
1     2     1     NJ     1
20     4     4     NY     4
20     4     2     NY     10
20     4     2     NY     10The above given example is self explanatory, execute the SQL, you'll notice that in the first column the sum of TIMES_PURCHASED partitioned by state code of FIRST cust_id will be repeated for the STATE_CODE partition, in the second column, the sum of TIMES_PURCHASED partitioned by state code of LAST cust_id will be repeated for the STATE_CODE partition.
HTH
*009*
Edited by: 009 on Jun 10, 2010 10:53 PM

How to use analytic function with aggregate function

hello
can we use analytic function and aggrgate function in same qurey? i tried to find any example on Net but not get any example how both of these function works together. Any link or example plz share with me
Edited by: Oracle Studnet on Nov 15, 2009 10:29 PM

select
t1.region_name,
t2.division_name,
t3.month,
t3.amount mthly_sales,
max(t3.amount) over (partition by t1.region_name, t2.division_name)
max_mthly_sales
from
region t1,
division t2,
sales t3
where
t1.region_id=t3.region_id
and
t2.division_id=t3.division_id
and
t3.year=2004
Source:http://www.orafusion.com/art_anlytc.htm
Here max (aggregate) and over partition by (analytic) function is in same query. So it means we can use aggregate and analytic function in same query and more than one analytic function in same query also.
Hth
Girish Sharma

Analytic function sql help

Table with 2 columns pro_id,sub_ver_id. Need only 5 pro_id for each sub_ver_id
SQL> select * from test1 order by SUB_VER_ID;
PRO_ID SUB_VER_ID
1 0
2 0
3 0
4 0
5 0
6 0
10 1
15 1
16 1
11 1
12 1
PRO_ID SUB_VER_ID
13 1
14 1
11 2
12 3
I'm new to analytic function i got query as below, but not able to get an idea to limit the SRLNO to only 5 rows for each SUB_VER_ID. Any hint would be much appreciated.
select distinct sub_ver_id,pro_id, row_number () over (order by sub_ver_id) srlno
from test1 order by sub_ver_id

May be as below..
select *
from
select sub_ver_id,pro_id, row_number () over (partition by sub_ver_id order by null) srlno
from test1
) where srlno <=5 order by sub_ver_idThanks...

OLAP Expression Analytical Functions and NA Values

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

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

Need valuable guidance to make a peformance oriented query, trying to replace unions with analytical function

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

Restrict Query Resultset which uses Analytic Function

Gents,
Problem Definition: Using Analytic Function, get Total sales for the Product P1
and Customer C1 [Total sales for the customer itself] in one line.
I want to restrict the ResultSet of the query to Product P1,
please look at the data below, queries and problems..
Data
Customer Product Qtr Sales
C1 P1 19991 100.00
C1 P1 19992 125.00
C1 P1 19993 175.00
C1 P1 19994 300.00
C1 P2 19991 100.00
C1 P2 19992 125.00
C1 P2 19993 175.00
C1 P2 19994 300.00
C2 P1 19991 100.00
C2 P1 19992 125.00
C2 P1 19993 175.00
C2 P1 19994 300.00
Problem, I want to display....
Customer Product ProdSales CustSales
C1 P1 700 1400
But Without using outer query, i.e. please look below for the query that
returns this reult with two select, I want this result in one query only..
Select * From ----*** want to avoid this... ***----
(Select Customer,Product,
Sum(Sales) ProdSales,
Sum(Sum(Sales)) Over(Partition By Customer) CustSales
From t1
Where customer='C1')
Where
Product='P1' ;
Also, I want to avoid Hard coding of P1 in the select clause....
I mean, I can do it in one shot/select, but look at the query below, it uses
P1 in the select clause, which is No No!! P1 is allowed only in Where or Having ..
Select Customer,Decode(Product, 'P1','P1','P1') Product,
Decode(Product,'P1',Sales,0) ProdSales,
Sum(Sum(Sales)) Over (Partition By Customer ) CustSales
From t1
Where customer='C1' ;
This will get me what I want, but as I said earlier, I want to avoid using P1 in the
Select clause..
Goal is to Avoid using
1-> Two Select/Outer Query/In Line Views
2-> Product 'P1' in the Select clause...
Thanks
-Dhaval Rasania

I don't understand goal number 1 of not using an inline view.
What is the harm?

Speed up query with analytic function

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

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

Query in analytic function

Hi,
I am using below query
select * from
SELECT FLAG,S_DATE,ROW_NUMBER() OVER (PARTITION BY
flag order by S_DATE,FLAG ) as d
FROM table_name
ORDER BY S_DATE
which gives below output
Flag     | S_DATE      | D
Y     | 2/27/2012 5:33     |     1
Y     | 2/27/2012 5:34     |     2
Y     | 2/27/2012 5:34     |     3
N     | 2/27/2012 5:34     |     1
N     | 2/27/2012 5:34     |     2
N     | 2/27/2012 5:34     |     3
N     | 2/27/2012 5:35     |     4
N     | 2/27/2012 5:35     |     5
Y     | 2/27/2012 5:36     |     4
Y     | 2/27/2012 5:36     |     5
Y     | 2/27/2012 5:36     |     6
But i want the output to be in below order there is change in last 3 rows
Flag     | S_DATE      | D
Y     | 2/27/2012 5:33     |     1
Y     | 2/27/2012 5:34     |     2
Y     | 2/27/2012 5:34     |     3
N     | 2/27/2012 5:34     |     1
N     | 2/27/2012 5:34     |     2
N     | 2/27/2012 5:34     |     3
N     | 2/27/2012 5:35     |     4
N     | 2/27/2012 5:35     |     5
Y     | 2/27/2012 5:36     |     1
Y     | 2/27/2012 5:36     |     2
Y     | 2/27/2012 5:36     |     3
ihave used the analytic function.
Edited by: user8858890 on Feb 27, 2012 2:00 AM

Hi,
user8858890 wrote:
... But i want the output to be in below order there is change in last 3 rows
Flag     | S_DATE      | D
Y     | 2/27/2012 5:33     |     1
Y     | 2/27/2012 5:34     |     2
Y     | 2/27/2012 5:34     |     3
N     | 2/27/2012 5:34     |     1
N     | 2/27/2012 5:34     |     2
N     | 2/27/2012 5:34     |     3
N     | 2/27/2012 5:35     |     4
N     | 2/27/2012 5:35     |     5
Y     | 2/27/2012 5:36     |     1
Y     | 2/27/2012 5:36     |     2
Y     | 2/27/2012 5:36     |     3
Why do you want the last 3 rows (which have flag = 'Y') to be numbered 1, 2, 3, when the first 3 rows (which also have flag = 'Y') already have numbers 1, 2 and 3? Do you want a separate #1 whenevever there is a group of consecutive rows (when ordered by s_date) that have the same flag? If so, then you have to identify the groups, like this:
WITH     got_grp_id     AS
     SELECT     flag
     ,     s_date
     ,     ROWID               AS r_id
     ,     ROW_NUMBER () OVER ( ORDER BY      s_date
                               ,                  ROWID
           - ROW_NUMBER () OVER ( PARTITION BY flag
                                     ORDER BY         s_date
                         ,               ROWID
                       )    AS grp_id
     FROM    table_name
SELECT       flag
,       s_date
,       ROW_NUMBER () OVER ( PARTITION BY flag
                             ,          grp_id
                      ORDER BY          s_date
                      ,               r_id
                    )      AS d
FROM      got_grp_id
ORDER BY s_date
,            grp_id
,       d
;This assumes that each row can be uniquely idendified, so that the order is unambiguous. In your sample data, there are completely identical rows, so I used ROWID to uniquely identify the rows. Using ROWID assumes that table_name is a real table, not just a result set.
I hope this answers your question.
If not, post a little sample data (CREATE TABLE and INSERT statements, relevant columns only) for all the tables involved, and the results you want from that data.
Explain, using specific examples, how you get those results from that data.
Always say what version of Oracle you're using.

SQL Query With analytical function

Hi
Below is the scenario which i am looking for in sql query using analytical functions
I/p
Col1
50
0
-150
-200
300
-100
-300
500
-100
O/p
Col1          col2
50                 0
0                   0
-150          -100
-200              -200
300               0
-100              0
-300              -100
500               400
-100              0Any help really appreciated
Thanks in advance
Edited by: unique on Aug 10, 2010 4:53 AM
Edited by: unique on Aug 10, 2010 4:55 AM
Edited by: unique on Aug 10, 2010 4:55 AM

Oh,In this case,There is OLAP solution ;-)
OLAP samples of my homepage http://www.geocities.jp/oraclesqlpuzzle/oracle-sql1-olap.html
with work(SK,Val) as(
select 1, 50 from dual union
select 2,   0 from dual union
select 3,-150 from dual union
select 4,-200 from dual union
select 5, 300 from dual union
select 6,-100 from dual union
select 7,-300 from dual union
select 8, 500 from dual union
select 9,-100 from dual)
select SK,Val,GID,
case when Val > 0
     then greatest(0,sum(Val) over(partition by GID))
     else Least(0,Val+greatest(0,sum(Val) over(partition by GID
                                 order by SK rows between unbounded preceding
                                                      and 1 preceding)))
     end as COL3
from (select SK,Val,
      sum(greatest(0,sign(Val))) over(order by SK) as GID
      from work)
order by SK;
SK   VAL GID COL3
1    50    1     0
2     0    1     0
3 -150    1 -100
4 -200    1 -200
5   300    2     0
6 -100    2     0
7 -300    2 -100
8   500    3   400
9 -100    3     0

How can rewrite the Query using Analytical functions ?

Hi,
I have the SQL script as shown below ,
SELECT cd.cardid, cd.cardno,TT.TRANSACTIONTYPECODE,TT.TRANSACTIONTYPEDESC DESCRIPTION,
SUM (NVL (CASE tt.transactiontypecode
WHEN 'LOAD_ACH'
THEN th.transactionamount
END, 0)
) AS load_ach,
SUM
(NVL (CASE tt.transactiontypecode
WHEN 'FUND_TRANSFER_RECEIVED'
THEN th.transactionamount
END,
0
) AS Transfersin,
( SUM (NVL (CASE tt.transactiontypecode
WHEN 'FTRNS'
THEN th.transactionamount
END,
0
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'SEND_MONEY'
THEN th.transactionamount
END, 0)
)) AS Transferout,
SUM (NVL (CASE tt.transactiontypecode
WHEN 'WITHDRAWAL_ACH'
THEN th.transactionamount
END, 0)
) AS withdrawal_ach,
SUM (NVL (CASE tt.transactiontypecode
WHEN 'WITHDRAWAL_CHECK'
THEN th.transactionamount
END, 0)
) AS withdrawal_check,
( SUM (NVL (CASE tt.transactiontypecode
WHEN 'WITHDRAWAL_CHECK_FEE'
THEN th.transactionamount
END,
0
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'REJECTED_ACH_LOAD_FEE'
THEN th.transactionamount
END,
0
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'WITHDRAWAL_ACH_REV'
THEN th.transactionamount
END,
0
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'WITHDRAWAL_CHECK_REV'
THEN th.transactionamount
END,
0
) +
SUM
(NVL (CASE tt.transactiontypecode
WHEN 'WITHDRAWAL_CHECK_FEE_REV'
THEN th.transactionamount
END,
0
) +
SUM
(NVL (CASE tt.transactiontypecode
WHEN 'REJECTED_ACH_LOAD_FEE_REV'
THEN th.transactionamount
END,
0
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'OVERDRAFT_FEE_REV'
THEN th.transactionamount
END, 0)
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'STOP_CHECK_FEE_REV'
THEN th.transactionamount
END,
0
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'LOAD_ACH_REV'
THEN th.transactionamount
END, 0)
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'OVERDRAFT_FEE'
THEN th.transactionamount
END, 0)
) +
SUM (NVL (CASE tt.transactiontypecode
WHEN 'STOP_CHECK_FEE'
THEN th.transactionamount
END, 0)
)) AS Fee,
th.transactiondatetime
FROM carddetail cd,
transactionhistory th,
transactiontype tt,
(SELECT rmx_a.cardid, rmx_a.endingbalance prev_balance, rmx_a.NUMBEROFDAYS
FROM rmxactbalreport rmx_a,
(SELECT cardid, MAX (reportdate) reportdate
FROM rmxactbalreport
GROUP BY cardid) rmx_b
WHERE rmx_a.cardid = rmx_b.cardid AND rmx_a.reportdate = rmx_b.reportdate) a
WHERE th.transactiontypeid = tt.transactiontypeid
AND cd.cardid = th.cardid
AND cd.cardtype = 'P'
AND cd.cardid = a.cardid (+)
AND CD.CARDNO = '7116734387812758335'
--AND TT.TRANSACTIONTYPECODE = 'FUND_TRANSFER_RECEIVED'
GROUP BY cd.cardid, cd.cardno, numberofdays,th.transactiondatetime,tt.transactiontypecode,TT.TRANSACTIONTYPEDESC
Ouput of the above query is :
CARDID     CARDNO     TRANSACTIONTYPECODE     DESCRIPTION     LOAD_ACH     TRANSFERSIN     TRANSFEROUT     WITHDRAWAL_ACH     WITHDRAWAL_CHECK     FEE     TRANSACTIONDATETIME
6005     7116734387812758335     FUND_TRANSFER_RECEIVED     Fund Transfer Received     0     3.75     0     0     0     0     21/09/2007 11:15:38 AM
6005     7116734387812758335     FUND_TRANSFER_RECEIVED     Fund Transfer Received     0     272     0     0     0     0     05/10/2007 9:12:37 AM
6005     7116734387812758335     WITHDRAWAL_ACH     Withdraw Funds via ACH     0     0     0     300     0     0     24/10/2007 3:43:54 PM
6005     7116734387812758335     SEND_MONEY     Fund Transfer Sent     0     0     1     0     0     0     19/09/2007 1:17:48 PM
6005     7116734387812758335     FUND_TRANSFER_RECEIVED     Fund Transfer Received     0     1     0     0     0     0     18/09/2007 7:25:23 PM
6005     7116734387812758335     LOAD_ACH     Prepaid Deposit via ACH     300     0     0     0     0     0     02/10/2007 3:00:00 AM
I want the output like for Load_ACH there should be one record etc.,
Can any one help me , how can i rewrite the above query using analytical functions .,
Sekhar

Not sure of your requirements but this mayhelp reduce your code;
<untested>
SUM (
   CASE
   WHEN tt.transactiontypecode IN
      ('WITHDRAWAL_CHECK_FEE', 'REJECTED_ACH_LOAD_FEE', 'WITHDRAWAL_ACH_REV', 'WITHDRAWAL_CHECK_REV',
       'WITHDRAWAL_CHECK_FEE_REV', 'REJECTED_ACH_LOAD_FEE_REV', 'OVERDRAFT_FEE_REV','STOP_CHECK_FEE_REV',
       'LOAD_ACH_REV', 'OVERDRAFT_FEE', 'STOP_CHECK_FEE')
   THEN th.transactionamount
   ELSE 0) feeAlso, you might want to edit your post and use [pre] and [/pre] tags around your code for formatting.

Self-join query to Analytical function query

Hi All,
I have converted a self-join query to Analytical function query due to the performance reasons.
Query which is using Analytical function is giving the correct count as I compared it with query using Self-Join. Can you please tell what is wrong in the query.
==========================
Query using Self-Join
select count(1)
From (select t1.*, max(t1.dw_creation_dt) over (partition by t1.empl_id) pers_max_date
from ohr_pers_curr t1 ) pers
     , (select t2.*, max(t2.dw_creation_dt) over (partition by t2.empl_id, t2.empl_rcd) job_max_date
     from OHR_JOB_CURR t2) job
where pers.empl_id = job.empl_id
and pers.dw_creation_dt=pers.pers_max_date
and job.dw_creation_dt=job.job_max_date
and job.dummy_row_flag = 'N'
and pers.dw_creation_rsn_cd in ('N', 'U')
and job.dw_creation_rsn_cd in ('N', 'U')
================================================
Query Using Analytical function
select count(1)
From (select t1.*, max(t1.dw_creation_dt) over (partition by t1.empl_id) pers_max_date
from ohr_pers_curr t1 ) pers
     , (select t2.*, max(t2.dw_creation_dt) over (partition by t2.empl_id, t2.empl_rcd) job_max_date
     from OHR_JOB_CURR t2) job
where pers.empl_id = job.empl_id
and pers.dw_creation_dt=pers.pers_max_date
and job.dw_creation_dt=job.job_max_date
and job.dummy_row_flag = 'N'
and pers.dw_creation_rsn_cd in ('N', 'U')
and job.dw_creation_rsn_cd in ('N', 'U')
==================================

Hi David,
The base is same but the problem is different.
As far as implementation concern these queries looks same, but when I see there counts, they do not match. I do not have any reason why this happening.
Regards
Gaurav

Query for using "analytical functions" in DWH...

Dear team,
I would like to know if following task can be done using analytical functions...
If it can be done using other ways, please do share the ideas...
I have table as shown below..
Create Table t As
Select *
From
Select 12345 PRODUCT, 'W1' WEEK, 10000 SOH, 0 DEMAND, 0 SUPPLY,     0 EOH From dual Union All
Select 12345,         'W2',       0,         100,      50,        0 From dual Union All
Select 12345,         'W3',       0,         100,      50,        0 From dual Union All
Select 12345,         'W4',       0,         100,      50,        0 From dual
PRODUCT     WEEK     SOH     DEMAND     SUPPLY     EOH
12345     W1     10,000     0     0     10000
12345     W2     0     100     50     0
12345     W3     0     100     50     0
12345     W4     0     100     50     0
Now i want to calcuate EOH (ending on hand) quantity for W1...
This EOH for W1 becomes SOH (Starting on hand) for W2...and so on...till end of weeks
The formula is :- EOH = SOH - (DEMAND + SUPPLY)
The output should be as follows...
PRODUCT     WEEK     SOH     DEMAND     SUPPLY     EOH
12345     W1     10,000               10000
12345     W2     10,000     100     50     9950
12345     W3     9,950     100     50     9900
12345     W4     9,000     100     50     8950
Kindly share your ideas...

Nicloei W wrote:
Means SOH_AFTER_SUPPLY for W1, should be displayed under SOH FOR W2...i.e. SOH for W4 should be SOH_AFTER_SUPPLY for W3, right?
If yes, why are you expecting it to be 9000 for W4??
So in output should be...
PRODUCT WE        SOH     DEMAND     SUPPLY        EOH SOH_AFTER_SUPPLY
12345 W1      10000          0          0          0            10000
12345 W2      10000      100         50          0             9950
12345 W3      9950       100         50          0             *9900*
12345 W4      *9000*       100         50          0             9850
per logic you explained, shouldn't it be *9900* instead???
you could customize Martin Preiss's logic for your requirement :
SQL> with
2 data
3 As
4 (
5 Select 12345 PRODUCT, 'W1' WEEK, 10000 SOH, 0 DEMAND, 0 SUPPLY,   0 EOH Fom dual Union All
6 Select 12345,         'W2',       0,         100,      50,        0 From dal Union All
7 Select 12345,         'W3',       0,         100,      50,        0 From dal Union All
8 Select 12345,         'W4',       0,         100,      50,        0 From dual
9 )
10 Select Product
11 ,Week
12 , Sum(Soh) Over(Partition By Product Order By Week)- Sum(Supply) Over(Parttion By Product Order By Week)+Supply Soh
13 ,Demand
14 ,Supply
15 , Sum(Soh) Over(Partition By Product Order By Week)- Sum(Supply) Over(Partition By Product Order By Week) eoh
16 from data;
   PRODUCT WE        SOH     DEMAND     SUPPLY        EOH
     12345 W1      10000          0          0      10000
     12345 W2      10000        100         50       9950
     12345 W3       9950        100         50       9900
     12345 W4       9900        100         50       9850 Vivek L

Need (procedure or function or sql query )for Email filter

Hi All,
in (procedure or function or sql query ) ,if i pass the a input parameter like (anbu@y or anbu@ or anbu@yahjjj ) ,i need to get output like [email protected] .
please give me code for this ...

SQL> with t
2 as
3 (
4 select 'anbu@y' email from dual union all
5 select 'anbu@' from dual union all
6 select 'anbu@yahjjj' from dual
7 )
8 select email, regexp_replace(email, '@.*','@yahoo.com') email_new
9 from t
10 /
EMAIL
EMAIL_NEW
anbu@y
[email protected]
anbu@
[email protected]
anbu@yahjjj
[email protected]

Analytical function to filter query

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