How to achive using analytical functions -- please help
oracle version : 10g
-- 999 means ALL values for that key
with input_parameters as (select 10 filter_key , '10ACCC' filter_value from dual union all
select 50 filter_key ,'10ACCC0001' filter_value from dual union all
select 60 filter_key , 'PIP' filter_value from dual union all
select 70 filter_key , 'A' filter_value from dual) select * from input_parameters;
with profile_search as(
select 100 profile_id , 10 filter_key , '10ACCC' filter_value from dual union all
select 100 profile_id , 50 filter_key , '10ACCC0001' filter_value from dual union all
select 100 profile_id , 50 filter_key , '10ACCC0002' filter_value from dual union all
select 100 profile_id , 60 filter_key , '999' filter_value from dual union all
select 100 profile_id , 70 filter_key , '999' filter_value from dual union all
select 101 profile_id , 10 filter_key , '10ACCC' filter_value from dual union all
select 101 profile_id , 50 filter_key , '10ACCC001' filter_value from dual union all
select 101 profile_id , 60 filter_key , 'PIP' filter_value from dual union all
select 101 profile_id , 70 filter_key , '999' filter_value from dual union all
select 102 profile_id , 10 filter_key , '10ACCC' filter_value from dual union all
select 102 profile_id , 50 filter_key , '10ACCC0001' filter_value from dual union all
select 102 profile_id , 60 filter_key , 'PIP' filter_value from dual union all
select 102 profile_id , 70 filter_key , 'A' filter_value from dual)
select filter_key , wm_concat(filter_value) from profile_search group by profile_id, filter_key ;
need to identify profile that matches input parameters
102 is first match because it matches exactly
101 is second match because 999 can match any value
100 is third match KEY 70 HAS HIGHEST WEIGHT,
KEY 60 has next highest weight and KEY 50 has next highest weight
results required :
profile_id : 102
Edited by: devarade on Jan 19, 2010 8:01 PM
Edited by: devarade on Jan 19, 2010 8:01 PM
I assume there is a typo in your sample:
select 101 profile_id , 50 filter_key , '10ACCC001' filter_value from dual union allshould be:
select 101 profile_id , 50 filter_key , '10ACCC00<font color=red size=2>0</font>1' filter_value from dual union allThen:
with input_parameters as (
select 10 filter_key , '10ACCC' filter_value from dual union all
select 50 filter_key ,'10ACCC0001' filter_value from dual union all
select 60 filter_key , 'PIP' filter_value from dual union all
select 70 filter_key , 'A' filter_value from dual
profile_search as(
select 100 profile_id , 10 filter_key , '10ACCC' filter_value from dual union all
select 100 profile_id , 50 filter_key , '10ACCC0001' filter_value from dual union all
select 100 profile_id , 50 filter_key , '10ACCC0002' filter_value from dual union all
select 100 profile_id , 60 filter_key , '999' filter_value from dual union all
select 100 profile_id , 70 filter_key , '999' filter_value from dual union all
select 101 profile_id , 10 filter_key , '10ACCC' filter_value from dual union all
select 101 profile_id , 50 filter_key , '10ACCC0001' filter_value from dual union all
select 101 profile_id , 60 filter_key , 'PIP' filter_value from dual union all
select 101 profile_id , 70 filter_key , '999' filter_value from dual union all
select 102 profile_id , 10 filter_key , '10ACCC' filter_value from dual union all
select 102 profile_id , 50 filter_key , '10ACCC0001' filter_value from dual union all
select 102 profile_id , 60 filter_key , 'PIP' filter_value from dual union all
select 102 profile_id , 70 filter_key , 'A' filter_value from dual
select profile_id,
sum(direct_match_cnt) || ' direct matches out of ' || (select count(*) from input_parameters) match
from (
select b.profile_id,
b.filter_key,
b.filter_value,
sum(case when b.filter_value = a.filter_value then 1 else 0 end) direct_match_cnt
from input_parameters a,
profile_search b
where b.filter_key = a.filter_key
and (b.filter_value = a.filter_value or b.filter_value = '999')
group by b.profile_id,
b.filter_key,
b.filter_value
) x
group by profile_id
having count(*) = (select count(*) from input_parameters)
order by sum(direct_match_cnt) desc
PROFILE_ID MATCH
102 4 direct matches out of 4
101 3 direct matches out of 4
100 2 direct matches out of 4
SQL> SY.
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How to achive this using analytical function-- please help
version 10g.
this code works just fine with my requirement. i am tyring to learn analytical functions and implement that in the below query. i tried using row_number ,
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Edited by: new learner on May 24, 2010 7:53 AM
Edited by: new learner on May 24, 2010 10:50 AMMay be like this not tested...
select *
from
SELECT c.tax_idntfctn_nmbr irs_number, c.legal_name irs_name,
f.prvdr_lctn_iid, c.from_date as c_from_date, max(c.from_date) over(partition by c.tax_entity_sid) as max_c_from_date,
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pld.from_date as pld_from_date, max(pld.from_date) over(partition by pld.prvdr_lctn_iid) as max_pld_from_date
FROM tax_entity_detail c,
provider_detail e,
provider_location f,
provider_location_detail pld
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AND e.prvdr_sid = f.prvdr_sid
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How can i use analytic function on these data
hi ,
i have the following data:
id start end
1 11-oct-2006 03:00:34 12-oct-2006 09:00:10
1 09-oct-2006 05:00:23 11-oct-2006 03:00:34
1 08-oct-2006 03:00:23 09-oct-2006 05:00:23
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my end results shld be
id start end
1 08-oct-2006 05:00:23 12-oct-2006 09:00:10
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pls advise
tks & rdgsMohana ,
I think Elic's solution can be used here also
(Group by preserving the order
sql>select * from t;
ID ST ED
1 11-OCT-06 03.00.34.000000 AM 12-OCT-06 09.00.10.000000 AM
1 09-OCT-06 05.00.23.000000 AM 11-OCT-06 03.00.34.000000 AM
1 08-OCT-06 04.00.23.000000 AM 09-OCT-06 05.00.23.000000 AM
2 11-OCT-06 11.00.00.000000 AM 11-OCT-06 12.00.00.000000 PM
1 08-OCT-06 03.00.00.000000 AM 08-OCT-06 04.00.00.000000 AM
sql>
select id,min(st) st,max(ed) ed
from(
select id,st,ed, sum(grp) over(order by st) sm
from(
select id,st,ed,decode(lag(ed) over(order by st),st,0,1) grp
from t))
group by id,sm;
ID ST ED
1 08-OCT-06 03.00.00.000000 AM 08-OCT-06 04.00.00.000000 AM
1 08-OCT-06 04.00.23.000000 AM 12-OCT-06 09.00.10.000000 AM
2 11-OCT-06 11.00.00.000000 AM 11-OCT-06 12.00.00.000000 PM
Message was edited by:
jeneesh -
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 .,
SekharNot 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. -
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Edited by: Oracle Studnet on Nov 15, 2009 10:29 PMselect
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
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Source:http://www.orafusion.com/art_anlytc.htm
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Error is as follows
Line 1, Col 28:
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* & = - + ; < / > at in is mod remainder not rem
<an exponent (**)> <> or != or ~= >= <= <> and or like LIKE2_
LIKE4_ LIKEC_ between || multiset member SUBMULTISET_Hi,
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Hello,
I have a table rci_dates with the following structure (rci_id,visit_id,rci_name,rci_date).
A sample of data in this table is as given below.
1,101,'FIRST VISIT', '2010-MAY-01',
2,101,'FIRST VISIT', '2010-MAY-01'
3,101,'FIRST VISIT', '2010-MAY-01'
4,101,'FIRST VISIT', '2010-MAY-01'
5,102,'SECOND VISIT', '2010-JUN-01',
6,102,'SECOND VISIT', '2010-JUN-01'
7,102,'SECOND VISIT', '2010-JUN-01'
8,102,'SECOND VISIT', '2010-JUL-01'
I want to write a query which returns me the records which are similar to the record with rc_id =8 since the rci_date is different within the visit_id 102. Where as in Visit_id 101 the rci_dates are all same so it should not be displayed in the output returned by my query.
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Thanksok i have created the table and inserted the data. but it appears that the data are the output you are expecting, they all the same visit_id.
SQL> CREATE TABLE RCI
2 (RCI_ID NUMBER(10) NOT NULL,
3 VISIT_ID NUMBER(10) NOT NULL,
4 RCI_NAME VARCHAR2(20 BYTE) NOT NULL,
5 DCI_DATE VARCHAR2(8 BYTE));
Table created
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14876540, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14876640, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14876740, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14876840, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14876940, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877040, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877140, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877240, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877240, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877640, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877740, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877840, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877940, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878040, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878140, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878240, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878340, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878440, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878540, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877640, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14877740, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878340, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878540, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 17418240, 12140, 'SCREENING', '20000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 17418340, 12140, 'SCREENING', '20000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 17418440, 12140, 'SCREENING', '20000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14878240, 12140, 'SCREENING', '20000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 18790240, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 21724540, 12140, 'SCREENING', '19000101');
1 row inserted
SQL> INSERT INTO RCI ( RCI_ID, VISIT_ID, RCI_NAME, DCI_DATE ) VALUES ( 14876540, 12140, 'SCREENING', '20091015');
1 row inserted
SQL> commit;
Commit complete
SQL> select * from rci;
RCI_ID VISIT_ID RCI_NAME DCI_DATE
14876540 12140 SCREENING 19000101
14876640 12140 SCREENING 19000101
14876740 12140 SCREENING 19000101
14876840 12140 SCREENING 19000101
14876940 12140 SCREENING 19000101
14877040 12140 SCREENING 19000101
14877140 12140 SCREENING 19000101
14877240 12140 SCREENING 19000101
14877240 12140 SCREENING 19000101
14877640 12140 SCREENING 19000101
14877740 12140 SCREENING 19000101
14877840 12140 SCREENING 19000101
14877940 12140 SCREENING 19000101
14878040 12140 SCREENING 19000101
14878140 12140 SCREENING 19000101
14878240 12140 SCREENING 19000101
14878340 12140 SCREENING 19000101
14878440 12140 SCREENING 19000101
14878540 12140 SCREENING 19000101
14877640 12140 SCREENING 19000101
14877740 12140 SCREENING 19000101
14878340 12140 SCREENING 19000101
14878540 12140 SCREENING 19000101
17418240 12140 SCREENING 20000101
17418340 12140 SCREENING 20000101
17418440 12140 SCREENING 20000101
14878240 12140 SCREENING 20000101
18790240 12140 SCREENING 19000101
21724540 12140 SCREENING 19000101
14876540 12140 SCREENING 20091015
30 rows selected
SQL> -- using the sample similar code that i have previously posted it returned all the rows.
SQL> select rci.*
2 from rci
3 where rci.visit_id in (select r1.visit_id
4 from (select rci.visit_id,
5 count(*) over (partition by rci.visit_id, rci.dci_date order by rci.visit_id) rn
6 from rci) r1
7 where r1.rn = 1)
8 order by rci.rci_id;
RCI_ID VISIT_ID RCI_NAME DCI_DATE
14876540 12140 SCREENING 20091015
14876540 12140 SCREENING 19000101
14876640 12140 SCREENING 19000101
14876740 12140 SCREENING 19000101
14876840 12140 SCREENING 19000101
14876940 12140 SCREENING 19000101
14877040 12140 SCREENING 19000101
14877140 12140 SCREENING 19000101
14877240 12140 SCREENING 19000101
14877240 12140 SCREENING 19000101
14877640 12140 SCREENING 19000101
14877640 12140 SCREENING 19000101
14877740 12140 SCREENING 19000101
14877740 12140 SCREENING 19000101
14877840 12140 SCREENING 19000101
14877940 12140 SCREENING 19000101
14878040 12140 SCREENING 19000101
14878140 12140 SCREENING 19000101
14878240 12140 SCREENING 19000101
14878240 12140 SCREENING 20000101
14878340 12140 SCREENING 19000101
14878340 12140 SCREENING 19000101
14878440 12140 SCREENING 19000101
14878540 12140 SCREENING 19000101
14878540 12140 SCREENING 19000101
17418240 12140 SCREENING 20000101
17418340 12140 SCREENING 20000101
17418440 12140 SCREENING 20000101
18790240 12140 SCREENING 19000101
21724540 12140 SCREENING 19000101
30 rows selected
SQL> just as what frank have said it will be helpful if you post a sample output based on the original posting, that is in the first posting you have. -
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