get a single result with analytical functions

SELECT delrazjn. TYPE, delrazjn. DATE, delrazjn. USER, delrazjn. The IID OF the ZKET_DR delraz, ZKET_DR_JN delrazjn
WHERE delraz. IID = delrazjn. IID
AND (delrazjn. TYPE = 'UP2' GOLD delrazjn. TYPE = 'An increase in 1') AND delrazjn. IID_N IS NOT NULL

This is an example of my sql. But there is more than one result of delrazjn. IID. How can I get the first enterd in DB and ignore others, there will only be one result and no more.
The first result came in, that I can see for delrazjn. DATE.

I try to do that with analytical functions, but without success.

You're right, I told you that I can't test the code.

I hope this works now:

SELECT delrazjn.TYPE, delrazjn.DATE, delrazjn.USER, delrazjn.IID
FROM ZKET_DR delraz, ZKET_DR_JN delrazjn
WHERE delraz.IID = delrazjn.IID
AND (delrazjn.TYPE = 'UP2' OR delrazjn.TYPE = 'UP1') AND delrazjn.IID_N IS NOT NULL
and delrazjn.date=(select min(d.date) from ZKET_DR_JN d where d.type=delrazjn.type and d.user=delrazjn.user)

Tags: Database

Similar Questions

More help with analytical functions
I had great hellp here yesterday and I need once more today. I guess I'm still not able to get a solid understanding of analytical functions. So here's the problem:
table with 3 collars:
product_id (int), sale_date (to date), count_sold (int) - each file show that the number of items have been sold for the product at a given date.
The query should return the 3 passes of the table AND a fourth column that contains the date with the best sales of the product. If there are two or more dates with equal sales, the last being is chosen.

Is this possible using an analytical function appropriately and without using a subquery?

example:
product_id, sale_date, count_sold, high_sales_date
1, 01-01-2008, 10, 05/10/2008,.
1, 2008-03-10, 20, 10/05/2008
1, 10/04/2008, 25, 05/10/2008
1, 10/05/2008, 25, 05/10/2008
1, 01/06/2008, 22, 05/10/2008
2, 05/12/2008, 12, 05/12/2008
2, 06/01/2009, 10, 05/12/2008

Thank you
Hello

Try this:
```
SELECT     product_id
,     sale_date
,     count_sold
,     FIRST_VALUE (sale_date) OVER ( PARTITION BY  product_id
                               ORDER BY          count_sold          DESC
                           ,               sale_date          DESC
                         )      AS high_sales_date
FROM     table_x;
```
If you would post INSERT statements for your data, then I could test it.

Focus issue: Why use FIRST_VALUE with descending order and not LAST_VALUE (ASCending) ORDER of default?

For all the records for each record double, I need to get a single column with null or 0.

Hi all
I have a requirement where I need to get all the records, for each record in double, I need to get a single column with null or 0.
create table a1
(
Identification number,
VARCHAR2 (100), the point
part varchar2 (100));
Insert into a1
values (1, 'ABC', 'A1');
Insert into a1
values (2, 'DEF', 'A2');
TABLE A
PART ITEM ID
1 ABC A1
1 ABC A1
1 ABC A1
DEF 2 A2
DEF 2 A2
3 DEF A2
O/P
PART ITEM ID
1 ABC A1
1        ABC             0
1        ABC             0
DEF 2 A2
2       DEF              0
3       DEF              0
Thanks in advance.

Thanks for your help FrankKalush...

This one will work.

WITH got_r_num AS

(

SELECT NVL (a1.id, a1.id) as id

NVL (a1.item, a1.item) AS element

NVL (a1.part, a1.part) IN the framework

a1.id AS a_id

ROW_NUMBER () OVER (PARTITION BY a1.id

ORDER BY NULL

) AS r_num

BY the a1

)

SELECT id

element

CASE

WHEN a_id IS NOT NULL

AND r_num = 1

THEN part

ELSE ' 0'

END in the framework

OF got_r_num

;

Is there a shorter way (better) with analytical functions?

Here's a little test scenario:

create table t 
( id   number,
  pos  number,
  typ  number,
  m    number);
  
insert into t values (1,1,1,100);
insert into t values (1,2,1,100);
insert into t values (1,3,2, 50);
insert into t values (2,1,3, 30);
insert into t values (2,2,4, 70);
insert into t values (3,1,1,100);
insert into t values (3,2,2, 50);
insert into t values (4,1,3, 30);
insert into t values (4,2,5, 80);
insert into t values (4,3,3, 30);
insert into t values (5,1,3, 30);
insert into t values (5,2,6, 30);
insert into t values (6,1,2, 50);
insert into t values (6,2,7, 50);
insert into t values (6,3,2, 50);
insert into t values (7,1,4, 70);
insert into t values (7,2,4, 70);
insert into t values (7,3,4, 70);

For each id, I want to add all the values of m only when they have a different type. It would be a long journey:

with t1 as
  (select 
     id, 
     typ, 
     min(m) m1 
   from t
   group by id, typ)
select
  id,
  sum(m1) f
from t1
group by id
order by 1;

        ID          F
---------- ----------
         1        150 
         2        100 
         3        150 
         4        110 
         5         60 
         6        100 
         7         70

but I wonder, is it possible to get this result with a single statement select using analytic functions, something like

select 
  id, 
  sum(m) over (partition by distinct typ) F    -- this does not work. It's only an idea how it might look like
from t
group by id;

This is firstly a collection with the id, type with calculation of the min for each id, type the combination.
By subsequently for each id of the sum of the minutes (for each combination of id, type for this particular id) is summarized.

select distinct
 id, sum(min(m)) over (partition by id)
from data
group by id, typ
order by id

Published by: chris227 on 15.03.2013 07:39

Problem with analytical function for date

Hi all

ORCL worm:
Oracle Database 11 g Enterprise Edition Release 11.2.0.2.0 - 64 bit Production
PL/SQL Release 11.2.0.2.0 - Production
"CORE 11.2.0.2.0 Production."
AMT for Linux: Version 11.2.0.2.0 - Production
NLSRTL Version 11.2.0.2.0 - Production

I have a problem with the analtical for the date function. I'm trying to group records based on timestamp, but I'm failing to do.
Could you please help me find where I'm missing.

This is the subquery. No issue with this. I'm just posting it for reference. 
select sum(disclosed_cost_allocation.to_be_paid_amt) amt,
    substr(reference_data.ref_code,4,10) cd,
    to_char(external_order_status.status_updated_tmstp, 'DD-MON-YYYY HH24:MI:SS') tmstp,
    DISCLOSED_CLOSING_COST.DISCLOSED_CLOSING_COST_ID id
  FROM Deal.Fee_Mapping_Definition ,
    Deal.Fee_Index_Definition ,
    Deal.Fee_Closing_Cost_Item,
    Deal.Closing_Cost,
    Deal.Document_Generation_Request,
    deal.PRODUCT_REQUEST,
    deal.External_Order_Request,
    deal.External_Order_Status,
    deal. DISCLOSED_CLOSING_COST,
    deal.DISCLOSED_COST_ALLOCATION,
    deal.reference_data
  WHERE Fee_Mapping_Definition.Fee_Code                    = Fee_Index_Definition.Fee_Code
  AND Fee_Index_Definition.Fee_Index_Definition_Id         = Fee_Closing_Cost_Item.Fee_Index_Definition_Id
  AND Fee_Closing_Cost_Item.Closing_Cost_Id                = Closing_Cost.Closing_Cost_Id
  AND CLOSING_COST.PRODUCT_REQUEST_ID                      = Document_Generation_Request.Product_Request_Id
  AND closing_cost.product_request_id                      = product_request.product_request_id
  AND Product_Request.Deal_Id                              = External_Order_Request.Deal_Id
  AND external_order_request.external_order_request_id     = external_order_status.external_order_request_id
  AND external_order_request.external_order_request_id     = disclosed_closing_cost.external_order_request_id
  AND DISCLOSED_CLOSING_COST. DISCLOSED_CLOSING_COST_ID    = DISCLOSED_COST_ALLOCATION.DISCLOSED_CLOSING_COST_ID
  AND Fee_Index_Definition.Fee_Index_Definition_Id         = Disclosed_Closing_Cost.Fee_Index_Definition_Id
  AND Fee_Mapping_Definition.Document_Line_Series_Ref_Id   = Reference_Data.Reference_Data_Id
  AND Document_Generation_Request.Document_Package_Ref_Id IN (7392 ,2209 )
  AND External_Order_Status.Order_Status_Txt               = ('GenerationCompleted')
  AND Fee_Mapping_Definition.Document_Line_Series_Ref_Id  IN ( 7789, 7788,7596 )
  AND FEE_MAPPING_DEFINITION.DOCUMENT_TYPE_REF_ID          = 1099
  AND Document_Generation_Request.Product_Request_Id      IN
    (SELECT PRODUCT_REQUEST.PRODUCT_REQUEST_id
    FROM Deal.Disclosed_Cost_Allocation,
      Deal.Disclosed_Closing_Cost,
      DEAL.External_Order_Request,
      DEAL.PRODUCT_REQUEST,
      Deal.Scenario
    WHERE Disclosed_Cost_Allocation.Disclosed_Closing_Cost_Id = Disclosed_Closing_Cost.Disclosed_Closing_Cost_Id
    AND Disclosed_Closing_Cost.External_Order_Request_Id      = External_Order_Request.External_Order_Request_Id
    AND External_Order_Request.Deal_Id                        = Product_Request.Deal_Id
    AND product_request.scenario_id                           = scenario.scenario_id
    AND SCENARIO.SCENARIO_STATUS_TYPE_REF_ID                  = 7206
    AND product_request.servicing_loan_acct_num              IS NOT NULL
    AND product_request.servicing_loan_acct_num               = 0017498379
      --AND Disclosed_Cost_Allocation.Disclosed_Cost_Allocation_Id = 5095263
    )
  GROUP BY DISCLOSED_CLOSING_COST.DISCLOSED_CLOSING_COST_ID,
    External_Order_Status.Status_Updated_Tmstp,
    Reference_Data.Ref_Code,
    disclosed_cost_allocation.to_be_paid_amt
  order by 3 desc,
    1 DESC;

Result:
2000     1304-1399     28-JUL-2012 19:49:47     6880959
312     1302     28-JUL-2012 19:49:47     6880958
76     1303     28-JUL-2012 19:49:47     6880957
2000     1304-1399     28-JUL-2012 18:02:16     6880539
312     1302     28-JUL-2012 18:02:16     6880538
76     1303     28-JUL-2012 18:02:16     6880537


But, when I try to group the timestamp using analytical function,


select amt 
        ,cd 
        ,rank() over(partition by tmstp order by tmstp desc) rn 
from 
(select sum(disclosed_cost_allocation.to_be_paid_amt) amt,
    substr(reference_data.ref_code,4,10) cd,
    to_char(external_order_status.status_updated_tmstp, 'DD-MON-YYYY HH24:MI:SS') tmstp,
    DISCLOSED_CLOSING_COST.DISCLOSED_CLOSING_COST_ID id
  FROM Deal.Fee_Mapping_Definition ,
    Deal.Fee_Index_Definition ,
    Deal.Fee_Closing_Cost_Item,
    Deal.Closing_Cost,
    Deal.Document_Generation_Request,
    deal.PRODUCT_REQUEST,
    deal.External_Order_Request,
    deal.External_Order_Status,
    deal. DISCLOSED_CLOSING_COST,
    deal.DISCLOSED_COST_ALLOCATION,
    deal.reference_data
  WHERE Fee_Mapping_Definition.Fee_Code                    = Fee_Index_Definition.Fee_Code
  AND Fee_Index_Definition.Fee_Index_Definition_Id         = Fee_Closing_Cost_Item.Fee_Index_Definition_Id
  AND Fee_Closing_Cost_Item.Closing_Cost_Id                = Closing_Cost.Closing_Cost_Id
  AND CLOSING_COST.PRODUCT_REQUEST_ID                      = Document_Generation_Request.Product_Request_Id
  AND closing_cost.product_request_id                      = product_request.product_request_id
  AND Product_Request.Deal_Id                              = External_Order_Request.Deal_Id
  AND external_order_request.external_order_request_id     = external_order_status.external_order_request_id
  AND external_order_request.external_order_request_id     = disclosed_closing_cost.external_order_request_id
  AND DISCLOSED_CLOSING_COST. DISCLOSED_CLOSING_COST_ID    = DISCLOSED_COST_ALLOCATION.DISCLOSED_CLOSING_COST_ID
  AND Fee_Index_Definition.Fee_Index_Definition_Id         = Disclosed_Closing_Cost.Fee_Index_Definition_Id
  AND Fee_Mapping_Definition.Document_Line_Series_Ref_Id   = Reference_Data.Reference_Data_Id
  AND Document_Generation_Request.Document_Package_Ref_Id IN (7392 ,2209 )
  AND External_Order_Status.Order_Status_Txt               = ('GenerationCompleted')
  AND Fee_Mapping_Definition.Document_Line_Series_Ref_Id  IN ( 7789, 7788,7596 )
  AND FEE_MAPPING_DEFINITION.DOCUMENT_TYPE_REF_ID          = 1099
  AND Document_Generation_Request.Product_Request_Id      IN
    (SELECT PRODUCT_REQUEST.PRODUCT_REQUEST_id
    FROM Deal.Disclosed_Cost_Allocation,
      Deal.Disclosed_Closing_Cost,
      DEAL.External_Order_Request,
      DEAL.PRODUCT_REQUEST,
      Deal.Scenario
    WHERE Disclosed_Cost_Allocation.Disclosed_Closing_Cost_Id = Disclosed_Closing_Cost.Disclosed_Closing_Cost_Id
    AND Disclosed_Closing_Cost.External_Order_Request_Id      = External_Order_Request.External_Order_Request_Id
    AND External_Order_Request.Deal_Id                        = Product_Request.Deal_Id
    AND product_request.scenario_id                           = scenario.scenario_id
    AND SCENARIO.SCENARIO_STATUS_TYPE_REF_ID                  = 7206
    AND product_request.servicing_loan_acct_num              IS NOT NULL
    AND product_request.servicing_loan_acct_num               = 0017498379
      --AND Disclosed_Cost_Allocation.Disclosed_Cost_Allocation_Id = 5095263
    )
  GROUP BY DISCLOSED_CLOSING_COST.DISCLOSED_CLOSING_COST_ID,
    External_Order_Status.Status_Updated_Tmstp,
    Reference_Data.Ref_Code,
    disclosed_cost_allocation.to_be_paid_amt
  order by 3 desc,
    1 DESC);

Result:
312     1302            1
2000     1304-1399     1
76     1303            1
312     1302            1
2000     1304-1399     1
76     1303            1 


Required output:
312     1302            1
2000     1304-1399     1
76     1303            1
312     1302            2
2000     1304-1399     2
76     1303            2

THX
Rod.

Hey, Rod,

My guess is that you want:

, dense_rank () over (order by  tmstp  desc)  AS rn

RANK means you'll jump numbers when there is a link. For example, if all 3 rows have the exact same last tmstp, all 3 rows would be assigned number 1, GRADE would assign 4 to the next line, but DENSE_RANK attributes 2.

"PARTITION x" means that you are looking for a separate series of numbers (starting with 1) for each value of x. If you want just a series of numbers for the entire result set, then do not use a PARTITION BY clause at all. (PARTITION BY is never required.)
Maybe you want to PARTITIONNER IN cd. I can't do it without some examples of data, as well as an explanation of why you want the results of these data.
You certainly don't want to PARTITION you BY the same expression ORDER BY; It simply means that all the lines are tied for #1.

I hope that answers your question.
If not, post a small example data (CREATE TABLE and only relevant columns, INSERT statements) for all of the tables involved and also publish outcomes from these data.
Explain, using specific examples, how you get these results from these data.
Simplify the problem as much as possible.
Always tell what version of Oracle you are using.
See the FAQ forum {message identifier: = 9360002}

Published by: Frank Kulash, August 1, 2012 13:20

May result by analytic function that follows

Hi all

I am currently using oracle 10g.

create table

CREATE TABLE fortest
(  PROD             VARCHAR2(40 BYTE),
  prodvalues     number);

INSERT statement

insert into fortest values ('dental',10)
   insert into fortest values ('dental',4)
    insert into fortest values ('dental',13)
     insert into fortest values ('dental',3)
      insert into fortest values ('vision',2)
       insert into fortest values ('vision',11)
       insert into fortest values ('vision',33) 
        insert into fortest values ('vision',7)

I need the output as follows

prod        prodvalues <5         prodvalues >=5 and less than 10               prodvalues >=10
dental         2                                     0                                      2
vision         1                                     1                                      2

first column should give me separate prod, prodvalues5 column: should give me the number of similar prod with prodvalues less than 5, same thirdcolumn should have County of similar prod with prodvalues > = 5 and prodvalue < 10 and so on.

Please, not the names of columns of the output tables are just for reference, and I will not use them.

Thanks in advance.

Hi Bob,

You don't have to use analytical functions. Here's a solution that doesn't use analytical functions:

with temp as (select prod, case
                           when prodvalues <=5 then 1
                           else                    0
                           end  as prod5,
                           case
                           when prodvalues >=5 and prodvalues <10 then 1
                           else                    0
                           end  as prod5_10,
                           case
                           when prodvalues >= 10 then 1
                           else                    0
                           end  as prod10
                           from fortest)
                           select prod,sum(prod5) as prod5 ,  sum(prod5_10) as prod5_10 ,sum(prod10) as prod10
                           from temp
                           group by prod

order by with analytic function

Hi gurus
Need your help again.
I have the following data.
Examples of data
Select * from
(
As with a reference
(
Select ' 100 ', ' 25' grp lb, to_date('2012-03-31') ter_dt, 'ABC' package_name FROM DUAL union all
Select ' 100 ', ' 19', to_date ('2012-03-31'), 'AA' OF the whole union DOUBLE
Select ' 200 ', ' 25', to_date('2012-03-31'), 'CC' FROM DUAL union all
Select ' 300 ', ' 28', to_date('2012-03-31'), 'XX' from DUAL union all
Select ' 300 ', ' 28', to_date('4444-12-31'), 'XY' from DUAL
)
Select the grp, lb, ter_dt, Package_name
ROW_NUMBER() over (partition by order of grp by case when lb = '19' then 1)
When lb = '25' then 2
ro_nbr end)
Reference)
-where ro_nbr = 1
;
-----------
The query above returns the following result:
Existing query result
GRP LB TER_DT package_name RO_NBR
100 19 03/12/31 AA 1
100 25 03/12/31 ABC 2
200 25 03/12/31 CC 1
300 28 03/12/31 XX 1
300 28 44 12-31 XY 2
If you can see the data above then I use the order clause with function row_number analytic and prioritize data according to LB using the order by clause.
Now the problem is I need simple stored against each group so I write the following query:
Query
Select * from
(
As with a reference
(
Select ' 100 ', ' 25' grp lb, to_date('2012-03-31') ter_dt, 'ABC' package_name FROM DUAL union all
Select ' 100 ', ' 19', to_date ('2012-03-31'), 'AA' OF the whole union DOUBLE
Select ' 200 ', ' 25', to_date('2012-03-31'), 'CC' FROM DUAL union all
Select ' 300 ', ' 28', to_date('2012-03-31'), 'XX' from DUAL union all
Select ' 300 ', ' 28', to_date('4444-12-31'), 'XY' from DUAL
)
Select the grp, lb, ter_dt, Package_name
ROW_NUMBER() over (partition by order of grp by case when lb = '19' then 1)
When lb = '25' then 2
ro_nbr end)
Reference)
where ro_nbr = 1
;
The query result
GRP LB TER_DT RO_NBR
100 19 03/12/31 AA 1
200 25 03/12/31 CC 1
300 28 03/12/31 XX 1
My required result is that 300 GRP contains 2 folders and I need the record with the latest means of ter_dt and right now, I only get the latest.
My output required
GRP LB TER_DT RO_NBR
100 19 03/12/31 AA 1
200 25 03/12/31 CC 1
300 28 44 12-31 XY 1
Please guide. Thank you

Hello

The query you posted is the ro_nbr assignment based on nothing other than lb. When there are 2 or more lines that have an equal claim to get assigned ro_nbr = 1, then one of them is chosen arbitrarily. If, when a tie like that occurs, you want the number 1 to be assigned based on some sort, and add another expression of Analytics ORDER BY clause, like this:

WITH got_ro_nbr AS

(

SELECT the grp, lb, ter_dt, nom_package

ROW_NUMBER () OVER (PARTITION BY grp

ORDER OF CASES

WHEN lb = '19' THEN 1

WHEN lb = '25' THEN 2

END

, ter_dt DESC-* NEW *.

) AS ro_nbr

REFERENCE

)

SELECT the grp, lb, ter_dt, nom_package

OF got_ro_nbr

WHERE ro_nbr = 1

;

Help with analytical functions

Hi all

I'm on Oracle 11g DB and have records in the table that look like this

transaction_ref   line_type   description
--------------------   --------------  ---------------
 10                   DETAIL      abc123          
 10                   DETAIL      abc978          
 10                   DETAIL      test              
 10                   DETAIL      test              
 10                   DETAIL      test              
 20                   DETAIL      abcy             
 20                   DETAIL      abc9782       
 20                   DETAIL      test12          
 20                   DETAIL      test32

Analytical, I generate rownumber by Ref single transaction as follows:

SELECT row_number() over (partition by transaction_ref order by 1) rownumber
FROM mytable ;


transaction_ref   line_type   description   rownumber
--------------------   --------------  ---------------   ----------------
 10                   DETAIL      abc123          1
 10                   DETAIL      abc978          2
 10                   DETAIL      test              3
 10                   DETAIL      test              4
 10                   DETAIL      test              5
 20                   DETAIL      abcy             1
 20                   DETAIL      abc9782       2
 20                   DETAIL      test12          3
 20                   DETAIL      test32          4

However, for my needs, I need my rownumber as follows:

with the exception of number 1 of Clotilde, I want to increment the number of lines per 3

 transaction_ref   line_type   description   rownumber
--------------------   --------------  ---------------   ----------------
 10                   DETAIL      abc123          1
 10                   DETAIL      abc978          4
 10                   DETAIL      test              7
 10                   DETAIL      test              10
 10                   DETAIL      test              13
 20                   DETAIL      abcy             1
 20                   DETAIL      abc9782       4
 20                   DETAIL      test12          7
 20                   DETAIL      test32          10
....

Thank you
Maëlle

Published by: user565538 on June 4, 2011 17:32

Published by: user565538 on June 4, 2011 17:34

Published by: user565538 on June 4, 2011 17:35

with mytable as (
                 select 10 transaction_ref,'DETAIL' line_type,'abc123' description from dual union all
                 select 10,'DETAIL','abc978' from dual union all
                 select 10,'DETAIL','test' from dual union all
                 select 10,'DETAIL','test' from dual union all
                 select 10,'DETAIL','test' from dual union all
                 select 20,'DETAIL','abcy' from dual union all
                 select 20,'DETAIL','abc9782' from dual union all
                 select 20,'DETAIL','test12' from dual union all
                 select 20,'DETAIL','test32' from dual
                )
SELECT  transaction_ref,
        line_type,
        description,
        (row_number() over (partition by transaction_ref order by 1) - 1) * 3 + 1 rownumber
FROM mytable
/

TRANSACTION_REF LINE_T DESCRIP  ROWNUMBER
--------------- ------ ------- ----------
             10 DETAIL abc123           1
             10 DETAIL abc978           4
             10 DETAIL test             7
             10 DETAIL test            10
             10 DETAIL test            13
             20 DETAIL abcy             1
             20 DETAIL abc9782          4
             20 DETAIL test12           7
             20 DETAIL test32          10

9 rows selected.

SQL>

SY.

Need help with analytical function (LAG)
The requirement is as I have a table with described colums

col1 County flag Flag2

ABC 1 Y Y

XYZ 1 Y Y

XYZ 1 O NULL

xyz *2* N N

XYZ 2 Y NULL

DEF 1 Y Y

DEF 1 N NULL

To get the columns Flag2

1 assign falg2 as indicator for rownum = 1
2 check the colm1, count of current line with colm1, Earl of the previous line. The colm1 and the NTC are identical, should assign null...

Here's the query I used to get the values of Flag2

SELECT colm1, count, flag
BOX WHEN
LAG(Count, 1,null) OVER (PARTITION BY colm1 ORDER BY colm1 DESC NULLS LAST) IS NULL
and LAG(flag, 1, NULL) PLUS (SCORE FROM colm1 ORDER BY colm1, cycle DESC NULLS LAST) IS NULL
THEN the flag
END AS Flag2
FROM table1

but the query above returns the o/p below which is false

col1_ County flag Flag2

ABC 1 Y Y
XYZ 1 Y Y
XYZ 1 O NULL
xyz *2* N NULL
XYZ 2 Y NULL
DEF 1 Y Y
DEF 1 N NULL

Thank you

Published by: user9370033 on April 8, 2010 23:25
Well, you have not enough explained your full requirement in this

1 assign falg2 as indicator for rownum = 1
2 check the colm1, count of current line with colm1, Earl of the previous line. The colm1 and the NTC are identical, should assign null...

as you say not what Flag2 must be set on if com1 and cnt are not the same as the previous row.

But how about this as my first guess what you mean...
```
SQL> with t as (select 'abc' as col1, 1 as cnt, 'Y' as flag from dual union all
  2             select 'xyz', 1, 'Y' from dual union all
  3             select 'xyz', 1, 'Y' from dual union all
  4             select 'xyz', 2, 'N' from dual union all
  5             select 'xyz', 2, 'Y' from dual union all
  6             select 'def', 1, 'Y' from dual union all
  7             select 'def', 1, 'N' from dual)
  8  -- END OF TEST DATA
  9  select col1, cnt, flag
 10        ,case when lag(col1) over (order by col1, cnt) is null then flag
 11              when lag(col1) over (order by col1, cnt) = col1 and
 12                   lag(cnt) over (order by col1, cnt) = cnt then null
 13              else flag
 14         end as flag2
 15  from t
 16  /

COL        CNT F F
--- ---------- - -
abc          1 Y Y
def          1 Y Y
def          1 N
xyz          1 Y Y
xyz          1 Y
xyz          2 Y Y
xyz          2 N

7 rows selected.

SQL>
```

Help with analytical functions - Windowing

Hello

I'm using Oracle 11.2.0.4.0.

I want to do the sum of all amounts for each window of 3 days from the date of the oldest rolling. I also want to name each window with the date limit for the period of 3 days.

My requirement is slightly more complicated, but I use this example to illustrate what I'm trying to

create table test (dt date, amt, run_id number);

Insert test values (to_date (' 22/04/2015 ',' dd/mm/yyyy'), 1, 1);

Insert test values (to_date (' 23/04/2015 ',' dd/mm/yyyy'), 1, 1);

Insert test values (to_date (' 24/04/2015 ',' dd/mm/yyyy'), 1, 1);

Insert test values (to_date (' 25/04/2015 ',' dd/mm/yyyy'), 1, 1);

Insert test values (to_date (' 27/04/2015 ',' dd/mm/yyyy'), 5, 1);

Insert test values (to_date (' 28/04/2015 ',' dd/mm/yyyy'), 2, 1);

Insert test values (to_date (' 29/04/2015 ',' dd/mm/yyyy'), 1, 1);

Insert test values (to_date (' 04/30/2015 ',' dd/mm/yyyy'), 1, 1);

Insert test values (to_date (' 01/05/2015 ',' dd/mm/yyyy'), 1, 1);

Insert test values (to_date (' 02/05/2015 ',' dd/mm/yyyy'), 1, 1);

Insert test values (to_date (' 03/05/2015 ',' dd/mm/yyyy'), 1, 1);

Insert test values (to_date (' 04/05/2015 ',' dd/mm/yyyy'), 1, 1);

The output should look like the example below. The period column requires

to show the end of each 3-day study:

AMT DT SUM_PER_PERIOD PERIOD

22/04/2015 1 1 24/04/2015

23/04/2015 1 2 24/04/2015

24/04/2015 1 3 24/04/2015

25/04/2015 1 3 27/04/2015

27/04/2015 5 6 27/04/2015

28/04/2015 2 7 30/04/2015

29/04/2015 20 27 30/04/2015

30/04/2015 30 52 30/04/2015

05/01/2015 5 55 3/05/2015

05/02/2015 5 50 3/05/2015

05/02/2015 10 50 3/05/2015

05/03/2015 1 21/3/05/2015

All I can manage this is

Select dt

, sum (amt) on sum_per_period (PARTITION BY run_id ORDER BY dt vary from 2 PAST current line)

of the test

order by dt;

Can anyone help?

It's very kind of you to give the insert and create instructions... but I corrected the data a bit

It does not match the output see you below

starting from 29/04, you forgot to change the dates and numbers of...

insert into test values (to_date('22/04/2015','dd/mm/yyyy'),1,1);
insert into test values (to_date('23/04/2015','dd/mm/yyyy'),1,1);
insert into test values (to_date('24/04/2015','dd/mm/yyyy'),1,1);
insert into test values (to_date('25/04/2015','dd/mm/yyyy'),1,1);
insert into test values (to_date('27/04/2015','dd/mm/yyyy'),5,1);
insert into test values (to_date('28/04/2015','dd/mm/yyyy'),2,1);
insert into test values (to_date('29/04/2015','dd/mm/yyyy'),20,1);
insert into test values (to_date('30/04/2015','dd/mm/yyyy'),30,1);
insert into test values (to_date('01/05/2015','dd/mm/yyyy'),5,1);
insert into test values (to_date('02/05/2015','dd/mm/yyyy'),5,1);
insert into test values (to_date('02/05/2015','dd/mm/yyyy'),10,1);
insert into test values (to_date('03/05/2015','dd/mm/yyyy'),1,1);

your periods will change if you insert a new first date...

so I guess you want a specific date... in this case 22/04/2015 and a specific end date

creation of periods from this first date and then grouping of these periods is easier with a first fixed date and a delta of 3 days.

the first step is to match the periods to your data (adapted)

with periods as (
  select date_start + (level-1) * period_days period_start, date_start + level * period_days period_end, period_days from (
    select to_date('21/04/2015', 'dd/mm/yyyy') date_start, to_date('04/05/2015', 'dd/mm/yyyy') date_end, 3 period_days   from dual)
  connect by date_start + level * period_days  < date_end)
select *
from test t, periods p
where t.dt > p.period_start and t.dt <= p.period_end

This gives your data with the dates of beginning and ending period

DT	AMT	RUN_ID	PERIOD_START	PERIOD_END	PERIOD_DAYS
22/04/2015	1	1	21/04/2015	24/04/2015	3
23/04/2015	1	1	21/04/2015	24/04/2015	3
24/04/2015	1	1	21/04/2015	24/04/2015	3

25/04/2015

24/04/2015 27/04/2015

27/04/2015

24/04/2015 27/04/2015

28/04/2015

27/04/2015 30/04/2015

29/04/2015

27/04/2015 30/04/2015

30/04/2015

27/04/2015 30/04/2015

05/01/2015

30/04/2015 05/03/2015

05/02/2015

30/04/2015 05/03/2015

05/02/2015

30/04/2015 05/03/2015

05/03/2015

30/04/2015 05/03/2015

and then sum the amt during the 3 days

with periods as (
  select date_start + (level-1) * period_days period_start, date_start + level * period_days period_end, period_days from (
    select to_date('21/04/2015', 'dd/mm/yyyy') date_start, to_date('04/05/2015', 'dd/mm/yyyy') date_end, 3 period_days   from dual)
  connect by date_start + level * period_days  < date_end)
select t.dt, t.amt, sum(amt) over (order by t.dt range between 2 preceding and current row) sum_per_period, p.period_end period
from test t, periods p
where t.dt > p.period_start and t.dt <= p.period_end

giving your output as requested:

DT	AMT	SUM_PER_PERIOD	PERIOD
22/04/2015	1	1	24/04/2015
23/04/2015	1	2	24/04/2015
24/04/2015	1	3	24/04/2015
25/04/2015	1	3	27/04/2015
27/04/2015	5	6	27/04/2015
28/04/2015	2	7	30/04/2015
29/04/2015	20	27	30/04/2015
30/04/2015	30	52	30/04/2015
05/01/2015	5	55	05/03/2015
05/02/2015	5	50	05/03/2015
05/02/2015	10	50	05/03/2015
05/03/2015	1	21	05/03/2015

Performance with Analytic functions

Hello

The following query takes more than 3 hours to run (10.2.0.4)
any help to optimize this?

Thanks for your help

SELECT   DISTINCT
         MAX (NVL (A.DB_SOURCE, 'SIGNIFY')) OVER (PARTITION BY C.COUNTRY)
            DB_SOURCE,
         A.SUBJECTNUMBERSTR,
         A.SUBJECTID,
         MAX (A.SITECOUNTRY) OVER (PARTITION BY C.COUNTRY) SITECOUNTRY,
         C.COUNTRY,
         C.CENTRE,
         C.COUNTRY || '-' || C.CENTRE AS SITEMNEMONIC,
         A.VISITMNEMONIC,
         A.VISITID,
         A.FROZENSTATE,
         A.SIGNEDSTATE,
         A.INCLUS,
         A.VISDATRECTHEO,
         A.VISIT,
         A.VISIT_THEO,
         B.DOV,
         MAX (C.STUDY_INCL) OVER () STUDY_INCL,
         MAX (C.COUNTRY_INCL) OVER (PARTITION BY C.COUNTRY) COUNTRY_INCL,
         MAX (C.CENTRE_INCL) OVER (PARTITION BY C.COUNTRY, C.CENTRE)
            CENTRE_INCL,
         MAX (NVL (C.NB_VISIT_ATTENDUES_GLOBAL, 0)) OVER ()
            NB_VISIT_ATTENDUES_GLOBAL,
         MAX (NVL (C.NB_VISIT_ATTENDUES_COUNTRY, 0))
            OVER (PARTITION BY C.COUNTRY)
            NB_VISIT_ATTENDUES_COUNTRY,
         MAX (NVL (C.NB_VISIT_ATTENDUES_CENTRE, 0))
            OVER (PARTITION BY C.COUNTRY, C.CENTRE)
            NB_VISIT_ATTENDUES_CENTRE,
         MAX (D.NB_VISIT_CLEAN_GLOBAL) OVER () NB_VISIT_CLEAN_GLOBAL,
         MAX (D.NB_VISIT_CLEAN_COUNTRY) OVER (PARTITION BY C.COUNTRY)
            NB_VISIT_CLEAN_COUNTRY,
         MAX (D.NB_VISIT_CLEAN_COUNTRY)
            OVER (PARTITION BY C.COUNTRY, C.CENTRE)
            NB_VISIT_CLEAN_CENTRE,
         MAX (D.NB_VISIT_CLEAN_INCLUS_GLOBAL) OVER ()
            NB_VISIT_CLEAN_INCLUS_GLOBAL,
         MAX (D.NB_VISIT_CLEAN_INCLUS_COUNTRY) OVER (PARTITION BY C.COUNTRY)
            NB_VISIT_CLEAN_INCLUS_COUNTRY,
         MAX (D.NB_VISIT_CLEAN_INCLUS_COUNTRY)
            OVER (PARTITION BY C.COUNTRY, C.CENTRE)
            NB_VISIT_CLEAN_INCLUS_CENTRE
  FROM   CL316257083_ECRF_DW.T_BILANS_MENSUELS_TMP A,
         CL316257083_ECRF_DW.T_PASTA_UNION B,
         CL316257083_ECRF_DW.T_BILAN_SETHI C,
         CL316257083_ECRF_DW.T_BILAN_QUERIES D
 WHERE   (    A.DB_SOURCE = B.DB_SOURCE(+)
          AND A.SUBJECTID = B.SUBJECTID(+)
          AND A.VISITID = B.VISITID(+))
         AND (C.COUNTRY = A.COUNTRY(+) AND C.CENTRE = A.CENTRE(+))
         AND (D.COUNTRY(+) = A.COUNTRY AND D.CENTRE(+) = A.CENTRE);


Plan hash value: 3745247003

--------------------------------------------------------------------------------------------------------
| Id  | Operation              | Name                  | Rows  | Bytes |TempSpc| Cost (%CPU)| Time     |
--------------------------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT       |                       | 10025 |  1556K|       |  1544  (13)| 00:00:02 |
|   1 |  HASH UNIQUE           |                       | 10025 |  1556K|  3496K|  1544  (13)| 00:00:02 |
|   2 |   WINDOW SORT          |                       | 10025 |  1556K|  3496K|  1544  (13)| 00:00:02 |
|*  3 |    HASH JOIN OUTER     |                       | 10025 |  1556K|       |   915  (20)| 00:00:01 |
|*  4 |     HASH JOIN OUTER    |                       |  5543 |   703K|       |   720  (20)| 00:00:01 |
|*  5 |      HASH JOIN OUTER   |                       |  5543 |   552K|       |   359  (21)| 00:00:01 |
|   6 |       TABLE ACCESS FULL| T_BILAN_SETHI         |  1277 | 43418 |       |     4   (0)| 00:00:01 |
|   7 |       TABLE ACCESS FULL| T_BILANS_MENSUELS_TMP |   259K|    16M|       |   342  (18)| 00:00:01 |
|   8 |      TABLE ACCESS FULL | T_PASTA_UNION         |   105K|  2884K|       |   355  (19)| 00:00:01 |
|   9 |     TABLE ACCESS FULL  | T_BILAN_QUERIES       |   107K|  3057K|       |   189  (16)| 00:00:01 |
--------------------------------------------------------------------------------------------------------

Predicate Information (identified by operation id):
---------------------------------------------------

   3 - access("D"."COUNTRY"(+)="A"."COUNTRY" AND "D"."CENTRE"(+)="A"."CENTRE")
   4 - access("A"."DB_SOURCE"="B"."DB_SOURCE"(+) AND "A"."SUBJECTID"="B"."SUBJECTID"(+) AND
              "A"."VISITID"="B"."VISITID"(+))
   5 - access("C"."COUNTRY"="A"."COUNTRY"(+) AND "C"."CENTRE"="A"."CENTRE"(+))

24 rows selected.

Elapsed: 00:00:11.15

with tab as
(
SELECT --+ materialize
         DISTINCT
         A.SUBJECTNUMBERSTR,
         A.SUBJECTID,
         C.COUNTRY,
         C.CENTRE,
         C.COUNTRY || '-' || C.CENTRE AS SITEMNEMONIC,
         A.VISITMNEMONIC,
         A.VISITID,
         A.FROZENSTATE,
         A.SIGNEDSTATE,
         A.INCLUS,
         A.VISDATRECTHEO,
         A.VISIT,
         A.VISIT_THEO,
         B.DOV
       FROM   CL316257083_ECRF_DW.T_BILANS_MENSUELS_TMP_MDE A,
         CL316257083_ECRF_DW.T_PASTA_UNION B,
         CL316257083_ECRF_DW.T_BILAN_SETHI C,
         CL316257083_ECRF_DW.T_BILAN_QUERIES D
 WHERE   (    A.DB_SOURCE = B.DB_SOURCE(+)
          AND A.SUBJECTID = B.SUBJECTID(+)
          AND A.VISITID = B.VISITID(+))
         AND (C.COUNTRY = A.COUNTRY(+) AND C.CENTRE = A.CENTRE(+))
         AND (D.COUNTRY(+) = A.COUNTRY AND D.CENTRE(+) = A.CENTRE)
)
SELECT   -- DISTINCT
         MAX (NVL (A.DB_SOURCE, 'SIGNIFY')) OVER (PARTITION BY C.COUNTRY)
            DB_SOURCE,
         A.SUBJECTNUMBERSTR,
         A.SUBJECTID,
         MAX (A.SITECOUNTRY) OVER (PARTITION BY C.COUNTRY) SITECOUNTRY,
         C.COUNTRY,
         C.CENTRE,
         C.COUNTRY || '-' || C.CENTRE AS SITEMNEMONIC,
         A.VISITMNEMONIC,
         A.VISITID,
         A.FROZENSTATE,
         A.SIGNEDSTATE,
         A.INCLUS,
         A.VISDATRECTHEO,
         A.VISIT,
         A.VISIT_THEO,
         B.DOV,
         MAX (C.STUDY_INCL) OVER () STUDY_INCL,
         MAX (C.COUNTRY_INCL) OVER (PARTITION BY C.COUNTRY) COUNTRY_INCL,
         MAX (C.CENTRE_INCL) OVER (PARTITION BY C.COUNTRY, C.CENTRE)
            CENTRE_INCL,
         MAX (NVL (C.NB_VISIT_ATTENDUES_GLOBAL, 0)) OVER ()
            NB_VISIT_ATTENDUES_GLOBAL,
         MAX (NVL (C.NB_VISIT_ATTENDUES_COUNTRY, 0))
            OVER (PARTITION BY C.COUNTRY)
            NB_VISIT_ATTENDUES_COUNTRY,
         MAX (NVL (C.NB_VISIT_ATTENDUES_CENTRE, 0))
            OVER (PARTITION BY C.COUNTRY, C.CENTRE)
            NB_VISIT_ATTENDUES_CENTRE,
         MAX (D.NB_VISIT_CLEAN_GLOBAL) OVER () NB_VISIT_CLEAN_GLOBAL,
         MAX (D.NB_VISIT_CLEAN_COUNTRY) OVER (PARTITION BY C.COUNTRY)
            NB_VISIT_CLEAN_COUNTRY,
         MAX (D.NB_VISIT_CLEAN_COUNTRY)
            OVER (PARTITION BY C.COUNTRY, C.CENTRE)
            NB_VISIT_CLEAN_CENTRE,
         MAX (D.NB_VISIT_CLEAN_INCLUS_GLOBAL) OVER ()
            NB_VISIT_CLEAN_INCLUS_GLOBAL,
         MAX (D.NB_VISIT_CLEAN_INCLUS_COUNTRY) OVER (PARTITION BY C.COUNTRY)
            NB_VISIT_CLEAN_INCLUS_COUNTRY,
         MAX (D.NB_VISIT_CLEAN_INCLUS_COUNTRY)
            OVER (PARTITION BY C.COUNTRY, C.CENTRE)
            NB_VISIT_CLEAN_INCLUS_CENTRE
  FROM tab;
-- group by ???

Help with analytic function

version 9.2

Here is a sample

WITH temp AS
     (SELECT 10 ID, TRUNC (SYSDATE - 1) dt, 101 ord_id
        FROM DUAL
      UNION
      SELECT 11 ID, TRUNC (SYSDATE - 1) dt, 101 ord_id
        FROM DUAL
      UNION
      SELECT 11 ID, TRUNC (SYSDATE) dt, 103 ord_id
        FROM DUAL
      UNION
      SELECT 13 ID, TRUNC (SYSDATE) dt, 104 ord_id
        FROM DUAL)
SELECT *
  FROM temp

Output: number of separate orders for each date

Dt     Count
1/25  1
1/26  2

ME_XE?WITH temp AS  2       (SELECT 10 ID, TRUNC (SYSDATE - 1) dt, 101 ord_id  3          FROM DUAL  4        UNION  5        SELECT 11 ID, TRUNC (SYSDATE - 1) dt, 101 ord_id  6          FROM DUAL  7        UNION  8        SELECT 11 ID, TRUNC (SYSDATE) dt, 103 ord_id  9          FROM DUAL 10        UNION 11        SELECT 13 ID, TRUNC (SYSDATE) dt, 104 ord_id 12          FROM DUAL) 13  SELECT dt, count(distinct ord_id) 14  FROM temp 15  group by dt;

DT                         COUNT(DISTINCTORD_ID)-------------------------- ---------------------25-JAN-2009 12 00:00                           126-JAN-2009 12 00:00                           2

2 rows selected.

Elapsed: 00:00:00.01ME_XE?ME_XE?

How to prioritize the query result using analytic functions

Hello

Published by: prakash on May 20, 2013 01:42

Use ROW_NUMBER

SQL> select PRVDR_LCTN_X_SPCLTY_SID,PRVDR_LCTN_IID,PRVDR_TYPE_X_SPCLTY_SID,STATUS_CID
  2  from
  3  (
  4    select t.*,
  5      row_number() over(partition by PRVDR_TYPE_X_SPCLTY_SID
  6                        order by STATUS_CID) rn
  7    from your_table t
  8  )
  9  where rn = 1;

PRVDR_LCTN_X_SPCLTY_SID PRVDR_LCTN_IID PRVDR_TYPE_X_SPCLTY_SID STATUS_CID
----------------------- -------------- ----------------------- ----------
               75292110       10153920                75004770          1
               75291888       10153920                75004884          2
               75292112       10153920                75004916          1
               75292117       10153920                75004974          1

Help me on the analytic function

Hello

I use oracle version

SQL> select * From v$version;

BANNER
----------------------------------------------------------------
Oracle9i Enterprise Edition Release 9.2.0.8.0 - 64bit Production
PL/SQL Release 9.2.0.8.0 - Production
CORE    9.2.0.8.0       Production
TNS for Solaris: Version 9.2.0.8.0 - Production
NLSRTL Version 9.2.0.8.0 - Production

I have a following tables

CREATE TABLE emp_info(emp_id number,ename varchar2(10),chk_date date);

CREATE TABLE emp_month(emp_id number,emp_month_date date,chk_amt number(10,2));

insert into emp_info VALUES (101,'PAUL',to_date('01-MAR-2009','DD-MON-YYYY'));
insert into emp_info VALUES (102,'JOHN',to_date('01-APR-2009','DD-MON-YYYY'));
insert into emp_info VALUES (103,'KRIS',to_date('01-MAY-2009','DD-MON-YYYY'));


insert into emp_month values (101,'01-DEC-2008',1432);
insert into emp_month values (101,'01-JAN-2009',1412);
insert into emp_month values (101,'01-FEB-2009',1632);
insert into emp_month values (101,'01-MAR-2009',1672);
--
insert into emp_month values (102,'01-DEC-2008',2678);
insert into emp_month values (102,'01-JAN-2009',2786);
insert into emp_month values (102,'01-FEB-2009',2883);
insert into emp_month values (102,'01-MAR-2009',2653);
insert into emp_month values (102,'01-APR-2009',2653);
--
insert into emp_month values (103,'01-NOV-2008',2343);
insert into emp_month values (103,'01-DEC-2008',2311);
insert into emp_month values (103,'01-JAN-2009',3122);
insert into emp_month values (103,'01-FEB-2009',3412);
insert into emp_month values (103,'01-MAR-2009',3312);
insert into emp_month values (103,'01-APR-2009',3315);
insert into emp_month values (103,'01-MAY-2009',4321);

I use following the QUERY for results. Is it possible to get these same results using ANALYTICAL functions
or I would appreciate any solution better than this.

Select e.emp_id,e.ename,e.chk_date,sum(chk_amt) year_amt
from emp_month em
,(select emp_id,ename,chk_date
from emp_info)e
where e.emp_id = em.emp_id
and em.emp_month_date between trunc(e.chk_date,'YY') AND e.chk_date
group by e.emp_id,e.ename,e.chk_date

user12212962 wrote:

I use following the QUERY for results. Is it possible to get these same results using ANALYTICAL functions

or I would appreciate any solution better than this.

I have no idea why you need analytic function. I know: there is no need to view inline in your query:

SQL> Select e.emp_id,e.ename,e.chk_date,sum(chk_amt) year_amt
  2  from emp_month em
  3  ,(select emp_id,ename,chk_date
  4  from emp_info)e
  5  where e.emp_id = em.emp_id
  6  and em.emp_month_date between trunc(e.chk_date,'YY') AND e.chk_date
  7  group by e.emp_id,e.ename,e.chk_date
  8
SQL> /

    EMP_ID ENAME      CHK_DATE    YEAR_AMT
---------- ---------- --------- ----------
       102 JOHN       01-APR-09      10975
       101 PAUL       01-MAR-09       4716
       103 KRIS       01-MAY-09      17482

SQL> Select e.emp_id,e.ename,e.chk_date,sum(chk_amt) year_amt
  2  from emp_month em,
  3       emp_info e
  4  where e.emp_id = em.emp_id
  5  and em.emp_month_date between trunc(e.chk_date,'YY') AND e.chk_date
  6  group by e.emp_id,e.ename,e.chk_date
  7  /

    EMP_ID ENAME      CHK_DATE    YEAR_AMT
---------- ---------- --------- ----------
       102 JOHN       01-APR-09      10975
       101 PAUL       01-MAR-09       4716
       103 KRIS       01-MAY-09      17482

SQL>

SY.

Nth salary using the analytic function

I use under function to calculate second highest with empno and deptno salary.

Is it possible to get the same result with another query without using Assembly only analytical functions condition.using and windows function is possible to get the desired output?

SELECT e.empno,

e.DEPTNO,

tmp. SAL as second_higher_salary

FROM emp e,.

(SELECT Empno,

DEPTNO,

SAL,

DENSE_RANK() (PARTITION BY deptno ORDER of sal) AS rnk

WCP

) tmp

WHERE tmp.deptno = e.deptno

and tmp.rnk = 2

EMPNO DEPTNO SAL

---------- ---------- ----------

7934 10 2450

7782 10 2450

7839 10 2450

7876 20 1100

7369 20 1100

7902 20 1100

7788 20 1100

7566 20 1100

7900 30 1250

7844 30 1250

7654 30 1250

7521 30 1250

7499 30 1250

7698 30 1250

7900 30 1250

7844 30 1250

7654 30 1250

7521 30 1250

7499 30 1250

7698 30 1250

Here's my solution:

Select empno,

DEPTNO,

FIRST_VALUE (sal) (PARTITION BY deptno ORDER by sal desc)

de)

SELECT EmpNo,

DEPTNO,

Decode (DENSE_RANK () OVER (PARTITION BY deptno order by sal desc), 1,-sal, sal) sal

WCP

)

EMPNO

DEPTNO FIRST_VALUE (SAL) OVER (PARTITIONBYDEPTNOORDERBYSALDESC)

---------- ---------- -----------------------------------------------------

7782	10	2450
7934	10	2450
7839	10	2450
7566	20	2975
7876	20	2975
7369	20	2975
7788	20	2975
7902	20	2975
7499	30	1600
7844	30	1600
7654	30	1600
7521	30	1600
7900	30	1600
7698	30	1600

100	19	03/12/31	AA	1
100	25	03/12/31	ABC	2
200	25	03/12/31	CC	1
300	28	03/12/31	XX	1
300	28	44 12-31	XY	2

get a single result with analytical functions

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