Help me on Analytical function
Hi
I'm using oracle version as
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 - Productioni 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'm using following QUERY, to get the results. Is it possible to get these same results using ANALYTICAL functions
or i would appreciate any better solution 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'm using following QUERY, to get the results. Is it possible to get these same results using ANALYTICAL functionsor i would appreciate any better solution than this.
I have no idea why you would need analytic function. What I do know: there is no need for inline view 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.
Similar Messages
-
Help with Oracle Analytic Function scenario
Hi,
I am new to analytic functions and was wondering if someone could help me with the data scenario below. I have a table with the following data
COLUMN A COLUMN B COLUMN C
13368834 34323021 100
13368835 34438258 50
13368834 34438258 50
13368835 34323021 100
The output I want is
COLUMN A COLUMN B COLUMN C
13368834 34323021 100
13368835 34438258 50
A simple DISTINCT won't give me the desired output so i was wondering if there is any way that I can get the result using ANALYTIC FUNCTIONS and DISTINCT ..
Any help will be greatly appreciated.
Thanks.Hi,
Welcome to the forum!
Whenever you have a question, please post your sample data in a form that people can use to re-create the problem and test their solutions.
For example:
CREATE TABLE table_x
( columna NUMBER
, columnb NUMBER
, columnc NUMBER
INSERT INTO table_x (columna, columnb, columnc) VALUES (13368834, 34323021, 100);
INSERT INTO table_x (columna, columnb, columnc) VALUES (13368835, 34438258, 50);
INSERT INTO table_x (columna, columnb, columnc) VALUES (13368834, 34438258, 50);
INSERT INTO table_x (columna, columnb, columnc) VALUES (13368835, 34323021, 100);Do you want something that works in your version or Oracle? Of course you do! So tell us which version that is.
How do you get the results that you want? Explain what each row of output represents. It looks like
the 1st row contains the 1st distinct value from each column (where "first" means descending order for columnc, and ascending order for the others),
the 2nd row contains the 2nd distinct value,
the 3rd row contains the 3rd distinct value, and so on.
If that's what you want, here's one way to get it (in Oracle 9 and up):
WITH got_nums AS
SELECT columna, columnb, columnc
, DENSE_RANK () OVER (ORDER BY columna ) AS a_num
, DENSE_RANK () OVER (ORDER BY columnb ) AS b_num
, DENSE_RANK () OVER (ORDER BY columnc DESC) AS c_num
FROM table_x
SELECT MAX (a.columna) AS columna
, MAX (b.columnb) AS columnb
, MAX (c.columnc) AS columnc
FROM got_nums a
FULL OUTER JOIN got_nums b ON b.b_num = a.a_num
FULL OUTER JOIN got_nums c ON c.c_num = COALESCE (a.a_num, b.b_num)
GROUP BY COALESCE (a.a_num, b.b_num, c.c_num)
ORDER BY COALESCE (a.a_num, b.b_num, c.c_num)
;I've been trying to find a good name for this type of query. The best I've heard so far is "Prix Fixe Query", named after the menus where you get a choice of soups (listed in one column), appetizers (in another column), main dishes (in a 3rd column), and so on. The items on the first row don't necessaily have any relationship to each other.
The solution does not assume that there are the same number of distinct items in each column.
For example, if you add this row to the sample data:
INSERT INTO table_x (columna, columnb, columnc) VALUES (13368835, 34323021, 99);which is a copy of the last row, except that there is a completely new value for columnc, then the output is:
` COLUMNA COLUMNB COLUMNC
13368834 34323021 100
13368835 34438258 99
50starting in Oracle 11, you can also do this with an unpivot-pivot query. -
Help needed with analytical function
I want to get the employee details of the highest and 2nd highest salaried employee in a particular department. But also the department should have more than 1 employee.
I tried the query and it gave me proper results. But I'm wondering if there is some other alternative than using the subquery.
Here is the table and the result query :
with t as
select 1 emp_id,3 mgr_id,'Rajesh' emp_name,3999 salary,677 bonus,'HR' dpt_nme from dual union
select 2 ,3 ,'Gangz',4500,800,'Finance' from dual union
select 3 ,4 ,'Sid',8000,12000,'IT' from dual union
select 4 ,null,'Ram',5000,677,'HR' from dual union
select 5 ,4,'Shyam',6000,677,'IT' from dual union
select 6 ,4 ,'Ravi',9000,12000,'IT' from dual
select * from
(select emp_id, mgr_id, emp_name, dpt_nme, salary, row_number() over (partition by dpt_nme order by salary desc) rn from t where dpt_nme in
(select dpt_nme from t group by dpt_nme having count(*) > 1)) where rn < 3Hi,
You need a sub-query, but you don't need more than that.
Here's one way to eliminate the extra sub-query:
WITH got_analytics AS
SELECT emp_id, mgr_id, emp_name, dpt_nme, salary
, ROW_NUMBER () OVER ( PARTITION BY dpt_nme
ORDER BY salary DESC
) AS rn
, COUNT (*) OVER ( PARTITION BY dpt_nme
) AS dpt_cnt
FROM t
SELECT emp_id, mgr_id, emp_name, dpt_nme, salary
, rn
FROM got_analytics
WHERE rn < 3
AND dpt_cnt > 1
;Analytic functions are computed after the WHERE clause is applied. Since we need to use the results of the analytic ROW_NUMBER function in a WHERE clause, that means we'll have to compute ROW_NUMBER in a sub-query, and use the results in the WHERE clause of the main query. We can call the analytic COUNT function in the same sub-query, and use its results in the same WHERE clause of the main query.
What results would you want if there's a tie for the 2nd highest salary in some department? For example, if you add this row to your sample data:
select 7 ,3 ,'Sunil',8000,12000,'IT' from dual union? You may want to use RANK instead of ROW_NUMBER. -
Help on Using Analytical Functions
I am hetting error when i use Analytical functions in Expressions
AVG( INGRP1.Test1 ) OVER (PARTITION BY INGRP1.Test2)
Error is as follows
Line 1, Col 28:
PLS-00103: Encountered the symbol "OVER" when expecting one of the following:
* & = - + ; < / > at in is mod remainder not rem
<an exponent (**)> <> or != or ~= >= <= <> and or like LIKE2_
LIKE4_ LIKEC_ between || multiset member SUBMULTISET_Hi,
the syntax of this part of the sql statement is okay. Please post the complete statement to identify the error.
Sometimes oracle identifies the wrong point for the error.
Regards,
Detlef -
Help required with Analytic function
Hi I have a table like following
column1 column2 column3 cloumn4 start_Date
1 601 A B 10-jan-2007
2 601 A B 11 -jan-2007
1 602 A B 12-jan-007
1 603 A C 12-jan-2007
there is no Uk on this table.
now I have to group column2 ,column3 ,column4.
I finally need to get the row that has highest start date. Effectively meaming
there will be three groups based on abouve data:
1st is:
1 601 A B 10-jan-2007
2 601 A B 11 -jan-2007
2nd is
1 602 A B 12-jan-007
3rd is
1 603 A C 12-jan-2007
now i need to get the second row from the first group only
2 601 A B 11 -jan-2007
i dont need data from other groups since they have less than 2 rows.
How can I achieve this using analytics function.
Please help!!Hi,
Can you please provide an example. I am sorry, this
is my first day with analytice :(I figured as much; that's why I gave you detailed instructions to gain some experience by building on the
query that Forms already gave you (slightly prettied up below):
select *
from ( -- Begin sub-query
SELECT column1,column2,column3,column4
, row_number () over
( partition by column2,column3,column4
order by start_date desc
) as rnk -- "rank" is not a good name
from table
) -- End sub-query
where rnk = 1;
[pre]
Follow the instructions I gave you earlier.
Add the analytic "COUNT (*) OVER (...) AS cnt" function next to the analytic ROW_NUMBER function in Forms' query.
Add the test for "cnt >= 2" next to the test for "rnk = 1". -
SELECT deptno,
MAX(DECODE(seq,1,ename,null)) first,
MAX(DECODE(seq,2,ename,null)) second,
MAX(DECODE(seq,3,ename,null)) third
FROM (SELECT deptno, ename,
row_number()
OVER (PARTITION BY deptno
ORDER BY sal desc NULLS LAST) seq
FROM emp)
WHERE seq <= 3
GROUP BY deptno
what is the use of keyword 'NULLS LAST' in above query??NULLS FIRST is the default option for a descending sort, so this NULLS LAST is to correct this behaviour.
Example: say you have the salaries {800, 1500, 2950, null, 5000, null} in your set
order by sal will result in this order: 800, 1500, 2950, 5000, null, null
order by sal desc will result in this order: null, null, 5000, 2950, 1500, 800
order by sal desc nulls last will result in: 5000, 2950, 1500, 800, null, null
However, in our standard emp table everybody has a salary, so the nulls last here has no effect.
Hope this helps.
Regards,
Rob. -
Need help with an analytic function I think
I have a table as such:
BID, POSITIONDATE
1 3/10/2009
1 3/11/2009
1 3/12/2009
1 3/13/2009
1 3/13/2009
1 3/13/2009
1 3/14/2009
I need to select a count(*) from this table for EACH day in MARCH, but the table is missing the days of 3/1 - 3/9
I need my result set to be:
BID, POSITIONDATE, COUNT(*)
1 3/1/2009 0
1 3/2/2009 0
1 3/3/2009 0
1 3/10/2009 1
1 3/11/2009 1
1 3/12/2009 1
1 3/13/2009 3
1 3/14/2009 1
I thought LAG would do it but I cannot figure out how to get it to "make up the dates of 3/1-3/9 since those dates aren't actually in the table)
I also tried creating a "FAKE" table (T1) with the dates of 3/1 -> 3/31 and outer joining to it, but that didn't seem to work either.
Any tips/suggestions??
Chriswith t1
as
select to_date('03/01/2009','MM/DD/YYYY')-1 + level as Date1
from dual
where (to_date('03/01/2009','MM/DD/YYYY')-1+level) <= last_day(to_date('03/01/2009','MM/DD/YYYY'))
connect by level<=31
select * from t1
DATE1
3/1/2009
3/2/2009
3/3/2009
3/4/2009
3/5/2009
3/6/2009
3/7/2009
3/8/2009
3/9/2009
3/10/2009
3/11/2009
3/12/2009
3/13/2009
3/14/2009
3/15/2009
3/16/2009
3/17/2009
3/18/2009
3/19/2009
3/20/2009
3/21/2009
3/22/2009
3/23/2009
3/24/2009
3/25/2009
3/26/2009
3/27/2009
3/28/2009
3/29/2009
3/30/2009
3/31/2009
31 Rows Selected
with t1
as
select to_date('02/01/2009','MM/DD/YYYY')-1 + level as Date1
from dual
where (to_date('02/01/2009','MM/DD/YYYY')-1+level) <= last_day(to_date('02/01/2009','MM/DD/YYYY'))
connect by level<=31
select * from t1
DATE1
2/1/2009
2/2/2009
2/3/2009
2/4/2009
2/5/2009
2/6/2009
2/7/2009
2/8/2009
2/9/2009
2/10/2009
2/11/2009
2/12/2009
2/13/2009
2/14/2009
2/15/2009
2/16/2009
2/17/2009
2/18/2009
2/19/2009
2/20/2009
2/21/2009
2/22/2009
2/23/2009
2/24/2009
2/25/2009
2/26/2009
2/27/2009
2/28/2009
28 Rows Selected
I probably should change the variable to MM/YYYY and leave out day I guess, because if they put a day larger than 1, then I would end up with less than a full month. -
I successfully use the following analytical function to sum all net_movement of a position (key for a position: bp_id, prtfl_num, instrmnt_id, cost_prc_crncy) from first occurrence until current row:
SELECT SUM (net_movement) OVER (PARTITION BY bp_id, prtfl_num, instrmnt_id, cost_prc_crncy ORDER BY TRUNC (val_dt) RANGE BETWEEN UNBOUNDED PRECEDING AND 0 FOLLOWING) holding,
what i need is another column to sum net_movement of a position but only for the current date, but all my approaches fail..
- add the date (val_dt) to the 'partition by' clause and therefore sum only values with same position and date
SELECT SUM (net_movement) OVER (PARTITION BY val_dt, bp_id, prtfl_num, instrmnt_id, cost_prc_crncy ORDER BY TRUNC (val_dt) RANGE BETWEEN UNBOUNDED PRECEDING AND 0 FOLLOWING) today_net_movement
- take the holding for the last date and subtract it from the current holding afterwards
SELECT SUM (net_movement) OVER (PARTITION BY bp_id, prtfl_num, instrmnt_id, cost_prc_crncy ORDER BY TRUNC (val_dt) RANGE BETWEEN UNBOUNDED PRECEDING AND -1 FOLLOWING) last_holding,
- using lag on the analytical function which calculates holding fails too
I also want to avoid creating a table which stores the last holding..
Does anyone sees where I make a mistake or knows an alternative to get this value?
It would help me much!
Thanks in advance!Thank you,
but I already tried that but it returns strange values which are not the correct ones for sure.
It is always the same value for each row, if its not 0, and a very high one (500500 for example), even if the sum of all net_movement of that date is 0 (and the statement for holding returns 0 too)
I also tried witch trunc(val_dt,'DDD') with the same result (without trunc it is the same issue)
please help if you can, thanks in advance! -
I need help with Analytic Function
Hi,
I have this little problem that I need help with.
My datafile has thousands of records that look like...
Client_Id Region Countries
[1] [1] [USA, Canada]
[1] [2] [Australia, France, Germany]
[1] [3] [China, India, Korea]
[1] [4] [Brazil, Mexico]
[8] [1] [USA, Canada]
[9] [1] [USA, Canada]
[9] [4] [Argentina, Brazil]
[13] [1] [USA, Canada]
[15] [1] [USA]
[15] [4] [Argentina, Brazil]
etc
My task is is to create a report with 2 columns - Client_Id and Countries, to look something like...
Client_Id Countries
[1] [USA, Canada, Australia, France, Germany, China, India, Korea, Brazil, Mexico]
[8] [USA, Canada]
[9] [USA, Canada, Argentina, Brazil]
[13] [USA, Canada]
[15] [USA, Argentina, Brazil]
etc.
How can I achieve this using Analytic Function(s)?
Thanks.
BDFHi,
That's called String Aggregation , and the following site shows many ways to do it:
http://www.oracle-base.com/articles/10g/StringAggregationTechniques.php
Which one should you use? That depends on which version of Oracle you're using, and your exact requirements.
For example, is order importatn? You said the results shoudl include:
CLIENT_ID COUNTRIES
1 USA, Canada, Australia, France, Germany, China, India, Korea, Brazil, Mexicobut would you be equally happy with
CLIENT_ID COUNTRIES
1 Australia, France, Germany, China, India, Korea, Brazil, Mexico, USA, Canadaor
CLIENT_ID COUNTRIES
1 Australia, France, Germany, USA, Canada, Brazil, Mexico, China, India, Korea?
Mwalimu wrote:
... How can I achieve this using Analytic Function(s)?The best solution may not involve analytic functions at all. Is that okay?
If you'd like help, post your best attempt, a little sample data (CREATE TABLE and INSERT statements), the results you want from that data, and an explanation of how you get those results from that data.
Always say which version of Oracle you're using.
Edited by: Frank Kulash on Aug 29, 2011 3:05 PM -
About FIRST_ROW analytic function; can anyone help?
Hi everyone,
Can anyone help me with this simple query?
Let's suppose I have this query (the with clause contains some data):
WITH T AS (
SELECT 'TEST' as COL1, 1 as COL2, 'z' as COL3 FROM dual
UNION ALL
SELECT 'TEST', 2, 'y' FROM dual
UNION ALL
SELECT 'TEST', 2, 'h' FROM dual
SELECT FIRST_VALUE(COL1) OVER (PARTITION BY COL1), COL2, COL3
FROM T;I would like to have only the first row returned. I was thinking that with FIRST_VALUE it will be possible, but it returns 3 records.
So can anyone help me to have only the first record returned?
TEST 1 zThis is just a simple example. In reality I have thousands of records. I need to get only the first record based on the name (TEST in this example). We don't really care about the other columns.
Thanks for your help,user13117585 wrote:
I would like to have only the first row returned. I was thinking that with FIRST_VALUE it will be possible, but it returns 3 records. Analytic functions don't filter rows, they just calculate values from some part of the result set.
Aggregating is the most efficient way of doing this query:
SQL> WITH T AS (
2 SELECT 'TEST' as COL1, 1 as COL2, 'z' as COL3 FROM dual
3 UNION ALL
4 SELECT 'TEST', 2, 'y' FROM dual
5 UNION ALL
6 SELECT 'TEST', 2, 'h' FROM dual
7 )
8 select col1
9 , min(col2) col2
10 , max(col3) keep (dense_rank first order by col2) col3
11 from t
12 group by col1
13 /
COL1 COL2 C
TEST 1 z
1 row selected.Regards,
Rob. -
Does sql analytic function help to determine continuity in occurences
We need to solve this problem in a sql statement.
imagine a table test with two columns
create table test (id char(1), begin number, end number);
and these values
insert into test('a',1, 2);
insert into test('a',2,3);
insert into test('a',3,4);
insert into test('a',7,10);
insert into test('a',10,15);
insert into test('b',5,9);
insert into test('b',9,21);
insert into test('c',1,5);
our goal is to determine continuity in number sequence between begin and end attributes for a same id and determine min and max number from these contuinity chains.
The result may be
a, 1, 4
a, 7, 15
b, 5, 21
c, 1, 5
We test some analytic functions like lag, lead, row_number, min, max, partition by, etc to search a way to identify row set that represent a continuity but we didn't find a way to identify (mark) them so we can use min and max functions to extract extreme values.
Any idea is really welcome !Here is our implementation in a real context for example:
insert into requesterstage(requesterstage_i, requester_i, t_requesterstage_i, datefrom, dateto )
With ListToAdd as
(Select distinct support.requester_i,
support.datefrom,
support.dateto
from support
where support.datefrom < to_date('01.01.2006', 'dd.mm.yyyy')
and support.t_relief_i = t_relief_ipar.fgetflextypologyclassitem_i(t_relief_ipar.fismedicalexpenses)
and not exists
(select null
from requesterstage
where requesterstage.requester_i = support.requester_i
and support.datefrom < nvl(requesterstage.dateto, support.datefrom + 1)
and nvl(support.dateto, requesterstage.datefrom + 1) > requesterstage.datefrom)
ListToAddAnalyzed_1 as
(select requester_i,
datefrom,
dateto,
decode(datefrom,lag(dateto) over (partition by requester_i order by datefrom),0,1) data_set_start
from ListToAdd),
ListToAddAnalyzed_2 as
(select requester_i,
datefrom,
dateto,
data_set_start,
sum(data_set_start) over(order by requester_i, datefrom ) data_set_id
from ListToAddAnalyzed_1)
select requesterstage_iseq.nextval,
requester_i,
t_requesterstage_ipar.fgetflextypologyclassitem_i(t_requesterstage_ipar.fisbefore2006),
datefrom,
decode(sign(nvl(dateto, to_date('01.01.2006', 'dd.mm.yyyy')) -to_date('01.01.2006', 'dd.mm.yyyy')), 0, to_date('01.01.2006', 'dd.mm.yyyy'), -1, dateto, 1, to_date('01.01.2006', 'dd.mm.yyyy'))
from ( select requester_i
, min(datefrom) datefrom
, max(dateto) dateto
From ListToAddAnalyzed_2
group by requester_i, data_set_id
); -
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 ,
but i could nt achive the desired results. please give me some ideas.
SELECT c.tax_idntfctn_nmbr irs_number, c.legal_name irs_name,
f.prvdr_lctn_iid
FROM tax_entity_detail c,
provider_detail e,
provider_location f,
provider_location_detail pld
WHERE c.tax_entity_sid = e.tax_entity_sid
AND e.prvdr_sid = f.prvdr_sid
AND pld.prvdr_lctn_iid = f.prvdr_lctn_iid
AND c.oprtnl_flag = 'A'
AND c.status_cid = 2
AND e.oprtnl_flag = 'A'
AND e.status_cid = 2
AND (c.from_date) =
(SELECT MAX (c1.from_date)
FROM tax_entity_detail c1
WHERE c1.tax_entity_sid = c.tax_entity_sid
AND c1.oprtnl_flag = 'A'
AND c1.status_cid = 2)
AND (e.from_date) =
(SELECT MAX (c1.from_date)
FROM provider_detail c1
WHERE c1.prvdr_sid = e.prvdr_sid
AND c1.oprtnl_flag = 'A'
AND c1.status_cid = 2)
AND pld.oprtnl_flag = 'A'
AND pld.status_cid = 2
AND (pld.from_date) =
(SELECT MAX (a1.from_date)
FROM provider_location_detail a1
WHERE a1.prvdr_lctn_iid = pld.prvdr_lctn_iid
AND a1.oprtnl_flag = 'A'
AND a1.status_cid = 2)thanks
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,
e.from_date as e_from_date, max(e.from_date) over(partition by e.prvdr_sid) as max_e_from_date,
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
WHERE c.tax_entity_sid = e.tax_entity_sid
AND e.prvdr_sid = f.prvdr_sid
AND pld.prvdr_lctn_iid = f.prvdr_lctn_iid
AND c.oprtnl_flag = 'A'
AND c.status_cid = 2
AND e.oprtnl_flag = 'A'
AND e.status_cid = 2
AND pld.oprtnl_flag = 'A'
AND pld.status_cid = 2
)X
where c_from_date=max_c_from_date AND e_from_date =max_e_from_date AND
pld_from_date=max_pld_from_date -
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_idMay 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... -
Help with analytical function (ora 9...)
Hi everyone, is there a way to fill some missing numbers based on what have come before and after that missing number by starttime and based on how many missing data are between? ... by "simple" select? I know how to do that just theoreticly with simple math commands, but is there a way to apply them in sql (analytical functions)?
Thanks in advance for any ideas !
The missing number on line 17 could be calculated as 339+(1/2)*(356-339) = 347,5
The missing number on line 23 could be calculated as 355+(1/3)*(292-355) = 334
The missing number on line 24 could be calculated as 355+(2/3)*(292-355) = 313
rownumber + temp_table (starttime,data_column)
15 23.5.2007 16:15 , 258
16 23.5.2007 16:30 , 339
17 23.5.2007 16:45 ,
18 23.5.2007 17:00 , 356
19 23.5.2007 17:15 , 373
20 23.5.2007 17:30 , 355
21 23.5.2007 17:45 , 363
22 23.5.2007 18:00 , 355
23 23.5.2007 18:15 ,
24 23.5.2007 18:30 ,
25 23.5.2007 19:00 , 292
26 23.5.2007 19:15 , 295
THANKS
Message was edited by:
dusooWay too late, but I wouldn't let my effort go unpublished ;-)
SQL> create table temp_table
2 as
3 select 15 rownumber, to_date('23.5.2007 16:15','dd.mm.yyyy hh24:mi') starttime, 258 data_column from dual union all
4 select 16, to_date(' 23.5.2007 16:30','dd.mm.yyyy hh24:mi'), 339 from dual union all
5 select 17, to_date(' 23.5.2007 16:45','dd.mm.yyyy hh24:mi'), null from dual union all
6 select 18, to_date(' 23.5.2007 17:00','dd.mm.yyyy hh24:mi'), 356 from dual union all
7 select 19, to_date(' 23.5.2007 17:15','dd.mm.yyyy hh24:mi'), 373 from dual union all
8 select 20, to_date(' 23.5.2007 17:30','dd.mm.yyyy hh24:mi'), 355 from dual union all
9 select 21, to_date(' 23.5.2007 17:45','dd.mm.yyyy hh24:mi'), 363 from dual union all
10 select 22, to_date(' 23.5.2007 18:00','dd.mm.yyyy hh24:mi'), 355 from dual union all
11 select 23, to_date(' 23.5.2007 18:15','dd.mm.yyyy hh24:mi'), null from dual union all
12 select 24, to_date(' 23.5.2007 18:30','dd.mm.yyyy hh24:mi'), null from dual union all
13 select 25, to_date(' 23.5.2007 19:00','dd.mm.yyyy hh24:mi'), 292 from dual union all
14 select 26, to_date(' 23.5.2007 19:15','dd.mm.yyyy hh24:mi'), 295 from dual
15 /
Tabel is aangemaakt.
SQL> with t as
2 ( select t.*
3 , max(case when data_column is not null then rownumber end) over (order by rownumber) lowerbound
4 , last_value(data_column ignore nulls) over (order by rownumber) prevvalue
5 , min(case when data_column is not null then rownumber end) over (order by rownumber desc) upperbound
6 , last_value(data_column ignore nulls) over (order by rownumber desc) nextvalue
7 from temp_table t
8 )
9 select rownumber
10 , starttime
11 , case
12 when data_column is not null then data_column
13 else prevvalue * ((upperbound - rownumber) / (upperbound - lowerbound))
14 + nextvalue * ((rownumber - lowerbound) / (upperbound - lowerbound))
15 end data_column
16 from t
17 order by rownumber
18 /
ROWNUMBER STARTTIME DATA_COLUMN
15 23-05-2007 16:15:00 258
16 23-05-2007 16:30:00 339
17 23-05-2007 16:45:00 347,5
18 23-05-2007 17:00:00 356
19 23-05-2007 17:15:00 373
20 23-05-2007 17:30:00 355
21 23-05-2007 17:45:00 363
22 23-05-2007 18:00:00 355
23 23-05-2007 18:15:00 334
24 23-05-2007 18:30:00 313
25 23-05-2007 19:00:00 292
26 23-05-2007 19:15:00 295
12 rijen zijn geselecteerd.Regards,
Rob. -
Analytical function syntax help
The following query sorts by most occuring hesid descedning and requires TWO full table scans of the episodes_full_test table :
create table episodes_full_test (epikey number, hesid number, dob date) tablespace analysis_ip_d;
insert into episodes_full_test values (100, 20, to_date('31-07-1975','DD-MM-YYYY'));
insert into episodes_full_test values (101, 20, to_date('31-07-1975','DD-MM-YYYY'));
insert into episodes_full_test values (102, 20, to_date('31-07-1975','DD-MM-YYYY'));
insert into episodes_full_test values (103, 20, to_date('31-07-1975','DD-MM-YYYY'));
insert into episodes_full_test values (104, 10, to_date('31-07-1985','DD-MM-YYYY'));
insert into episodes_full_test values (105, 30, to_date('31-07-1995','DD-MM-YYYY'));
insert into episodes_full_test values (106, 30, to_date('31-07-1995','DD-MM-YYYY'));
insert into episodes_full_test values (107, 30, to_date('31-07-1995','DD-MM-YYYY'));
commit;
select eft.hesid, eft.epikey, eft.dob
from episodes_full_test eft
join (select hesid, count(hesid) count_hesid
from episodes_full_test
group by hesid) v1
on eft.hesid = v1.hesid
order by v1.count_hesid desc, eft.epikey;
HESID EPIKEY DOB
20 100 31/07/1975
20 101 31/07/1975
20 102 31/07/1975
20 103 31/07/1975
30 105 31/07/1995
30 106 31/07/1995
30 107 31/07/1995
10 104 31/07/1985
I'm sure there's a way to use analytical functions such that Oracle only needs to perform ONE full table scan of episodes_full_test, but I can't figure out the syntax
Can anyone advise please ?
(Oracle 9r2)
Thanks, GusThank you for providing the create table, insert commands and required output as it makes answering the question much easier (once I'd removed the tablespace specification)
SQL> select hesid, epikey, dob
2 from
3 (
4 select eft.hesid, eft.epikey, eft.dob,
5 count(*) over (partition by eft.hesid) count_hesid
6 from episodes_full_test eft
7 )
8 order by count_hesid desc;
HESID EPIKEY DOB
20 100 31-JUL-75
20 101 31-JUL-75
20 102 31-JUL-75
20 103 31-JUL-75
30 105 31-JUL-95
30 106 31-JUL-95
30 107 31-JUL-95
10 104 31-JUL-85
8 rows selected.
SQL>
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