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')

Similar Messages

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.

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;
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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

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Using Analytic func,
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PL/SQL Release 11.2.0.2.0 - Production
"CORE     11.2.0.2.0     Production"
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Hi,
SamFisher wrote:
Thank You Frank. That was simple.
I was trying to get the reults without using analytical functions. Just trying to improve my SQL skills. Yes, I admit that practicising using the wrong tools can improve your SQL skills, but I think there's a lot to be said for practising using the right tools, too.
I tried all sort of things. I thought hierarchical query would do it but hard luck for me.Do you want to use a CONNECT BY query for this? Here's one way:
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ORDER BY x.id
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Hi,
I have an ugly table containing an implicit master detail relation.
The table can be ordered by sequence and then each detail is beneath it's master (in sequence).
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Looking for Analytical function to filter query

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