Help sql analytic function
Table with 2 columns pro_id, sub_ver_id need only 5 pro_id for each sub_ver_id.SQL > select * from test1 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
1 of 12
PRO_ID SUB_VER_ID
---------- ----------
13 1
1 of 14
11 2
3 of 12
.............................
I'm new to the analytical function, I received the request in the form below, but not able to get an idea to limit the SRLNO to only 5 lines for each SUB_VER_ID. Any advice would be much appreciated.
Select distinct sub_ver_id, pro_id, row_number () over (order by sub_ver_id) srlno
from test1 by sub_ver_id
Can 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_id
Thank you...
Tags: Database
Similar Questions
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Here is an example of the table data:
I would get this:ID NAME Start 1 SARA 01-JAN-2006 2 SARA 03-FEB-2006 3 LAMBDA 21-MAR-2006 4 SARA 13-APR-2006 5 LAMBDA 01-JAN-2007 6 LAMBDA 01-SEP-2007
I tried using partition and run the function but partition name combines all the lines of Sara and Lambda lines into a single group/partition that is not I am trying to get.Name Start Stop SARA 01-JAN-2006 20-MAR-2006 LAMBDA 21-MAR-2006 12-APR-2006 SARA 13-APR-2006 31-DEC-2006 LAMBDA 01-JAN-2007 <null>
Is there an analytic function or other means to achieve to combine date ranges only when the same person appeared conescutively?
Thank you.This can be easily achieved using tabibitosan:
First of all, you need to identify 'groups', that each name in the list belongs
with sample_data as (select 1 id, 'SARA' name, to_date('01/01/2006', 'dd/mm/yyyy') start_date from dual union all select 2 id, 'SARA' name, to_date('03/02/2006', 'dd/mm/yyyy') start_date from dual union all select 3 id, 'LAMBDA' name, to_date('21/03/2006', 'dd/mm/yyyy') start_date from dual union all select 4 id, 'SARA' name, to_date('13/04/2006', 'dd/mm/yyyy') start_date from dual union all select 5 id, 'LAMBDA' name, to_date('01/01/2007', 'dd/mm/yyyy') start_date from dual union all select 6 id, 'LAMBDA' name, to_date('01/09/2007', 'dd/mm/yyyy') start_date from dual) select id, name, start_date, lead(start_date, 1, to_date('31/12/9999', 'dd/mm/yyyy')) over (order by start_date) next_start_date, row_number() over (order by start_date) - row_number() over (partition by name order by start_date) grp from sample_data; ID NAME START_DATE NEXT_START_DATE GRP ---------- ------ ---------- --------------- ---------- 1 SARA 01/01/2006 03/02/2006 0 2 SARA 03/02/2006 21/03/2006 0 3 LAMBDA 21/03/2006 13/04/2006 2 4 SARA 13/04/2006 01/01/2007 1 5 LAMBDA 01/01/2007 01/09/2007 3 6 LAMBDA 01/09/2007 31/12/9999 3You can see the group number is generated by comparing the rownumber overall of all lines (in order) with the rownumber of the rowset by name (in the same order) - when there is a gap because another name appears between the two, the group number changes.
Once you have identified the number of group for each set of rows, it is easy to find the min / max values in this group:
with sample_data as (select 1 id, 'SARA' name, to_date('01/01/2006', 'dd/mm/yyyy') start_date from dual union all select 2 id, 'SARA' name, to_date('03/02/2006', 'dd/mm/yyyy') start_date from dual union all select 3 id, 'LAMBDA' name, to_date('21/03/2006', 'dd/mm/yyyy') start_date from dual union all select 4 id, 'SARA' name, to_date('13/04/2006', 'dd/mm/yyyy') start_date from dual union all select 5 id, 'LAMBDA' name, to_date('01/01/2007', 'dd/mm/yyyy') start_date from dual union all select 6 id, 'LAMBDA' name, to_date('01/09/2007', 'dd/mm/yyyy') start_date from dual), tabibitosan as (select id, name, start_date, lead(start_date, 1, to_date('31/12/9999', 'dd/mm/yyyy')) over (order by start_date) next_start_date, row_number() over (order by start_date) - row_number() over (partition by name order by start_date) grp from sample_data) select name, min(start_date) start_date, max(next_start_date) stop_date from tabibitosan group by name, grp order by start_date; NAME START_DATE STOP_DATE ------ ---------- ---------- SARA 01/01/2006 21/03/2006 LAMBDA 21/03/2006 13/04/2006 SARA 13/04/2006 01/01/2007 LAMBDA 01/01/2007 31/12/9999If you want the date to appear as null max, you will need to use a cast or decode to change it - I'll leave that as an exercise for you to do! I'll also let you to find how to get the day before for the stop_date.
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With the help of analytical functions
Hi all
I'm using ODI 11 g (11.1.1.3.0) and I'm doing an interface using analytical functions in the column map, something like below.
Salary on (partition of...)
The problem is that when ODI saw the sum he considers this an aggregate function and the group. Is it possible to understand that it is not an aggregate in ODI function?
I tried to create an option to specify whether it is analytic, then updated IKM with no luck.
< % if (odiRef.getUserExit("ANALYTIC").equals("1")) {% >}
< %} else {% >}
< % = odiRef.getGrpBy (i) % >
< % = odiRef.getHaving (i) % >
< %} % >
Thanks in advanceSeth,
Try this thing posted by Uli:
http://www.business-intelligence-quotient.com/?p=905 -
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 youHello
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?
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Thanks in advance to anyone who might help
I am writing a storage report. Try to calculate the use of space over a period of time. I need for a db_nm, tblsp_nm find the collections of the first and the last, and then find the difference in the space_used
The structure of the table is like this
Expected result isdrop table tstg / create table tstg (db_nm varchar(10), tblsp_nm varchar(15), space_used number, collection_time date) / insert into tstg values ( 'EDW', 'SYSTEM',100,to_date('01/07/2011','DD/MM/YYYY')); insert into tstg values ( 'EDW', 'SYSTEM',120,to_date('05/07/2011','DD/MM/YYYY')); insert into tstg values ( 'EDW', 'SYSTEM',150,to_date('10/07/2011','DD/MM/YYYY')); insert into tstg values ( 'EDW', 'SYSAUX',10,to_date('01/07/2011','DD/MM/YYYY')); insert into tstg values ( 'EDW', 'SYSAUX',12,to_date('05/07/2011','DD/MM/YYYY')); insert into tstg values ( 'EDW', 'SYSAUX',15,to_date('10/07/2011','DD/MM/YYYY')); commit;
I useDB_NM TBLSP_NM SPACE_USED COLLECTIO DIFF ---------- --------------- ---------- --------- ---------- EDW SYSAUX 15 10-JUL-11 5 EDW SYSTEM 150 10-JUL-11 50
but gives more lines in the result I wantselect db_nm,tblsp_nm,space_used,collection_time, last_value(space_used) OVER (partition by DB_NM,Tblsp_nm order by collection_time ASC) - first_value(space_used) OVER (partition by DB_NM,Tblsp_nm order by collection_time ASC) diff from tstg
/DB_NM TBLSP_NM SPACE_USED COLLECTIO DIFF ---------- --------------- ---------- --------- ---------- EDW SYSAUX 10 01-JUL-11 0 EDW SYSAUX 12 05-JUL-11 2 EDW SYSAUX 15 10-JUL-11 5 EDW SYSTEM 100 01-JUL-11 0 EDW SYSTEM 120 05-JUL-11 20 EDW SYSTEM 150 10-JUL-11 50
Thank you
EduardoHello
Thanks for the sample data.
Here's a solution using the FIRST/LAST functions:
select db_nm , tblsp_nm , max(collection_time) as collection_time , max(space_used) keep (dense_rank last order by collection_time) as space_used , max(space_used) keep (dense_rank last order by collection_time) - max(space_used) keep (dense_rank first order by collection_time) as diff from tstg group by db_nm , tblsp_nm ; -
Help with analytical functions
Hi all
I'm on Oracle 11g DB and have records in the table that look like this
Analytical, I generate rownumber by Ref single transaction as follows: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
However, for my needs, I need my rownumber 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
with the exception of number 1 of Clotilde, I want to increment the number of lines per 3
Thank youtransaction_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 ....
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 17:35with 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.
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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
TN
, 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_endThis 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 1
1
24/04/2015 27/04/2015 3
27/04/2015 5
1
24/04/2015 27/04/2015 3
28/04/2015 2
1
27/04/2015 30/04/2015 3
29/04/2015 20
1
27/04/2015 30/04/2015 3
30/04/2015 30
1
27/04/2015 30/04/2015 3
05/01/2015 5
1
30/04/2015 05/03/2015 3
05/02/2015 5
1
30/04/2015 05/03/2015 3
05/02/2015 10
1
30/04/2015 05/03/2015 3
05/03/2015 1
1
30/04/2015 05/03/2015 3
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_endgiving 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 -
With the help of analytical functions above and follow
Hello
Assume, I the date as follows:
Now I want to gerenate a report based on the above data as below:customerid orderid orderdate ------------- ---------- -------------- xyz 1 01/10/2010 xyz 2 02/11/2010 xyz 3 03/12/2011 xyz 4 03/01/2011 xyz 5 03/02/2011 xyz 6 03/03/2011 abc 7 10/09/2010 abc 8 10/10/2010 abc 9 10/11/2010 abc 10 10/01/2011 abc 11 10/02/2011 abc 12 10/03/2011
CustomerID, number of orders placed in the last 30 days of the new year (01/01/2011), no orders placed with 60 during the last days of the new year, no.. orders placed in the last 90 days of the new year, no orders placed within 30 days of the new year, no.. orders placed within 60 days of the new year, no.. orders placed within 90 days of the new year
I am trying to do this using the following code, but could not succeed:
Kindly help. Thanks in advance.select c.customerid, count(*) over (partition by c.customerid order by c.orderdate RANGE interval '30' DAY PRECEDING) as "Last 1 month", count(*) over (partition by c.customerid order by c.orderdate RANGE interval '60' DAY PRECEDING) as "Last 2 months", count(*) over (partition by c.customerid order by c.orderdate RANGE interval '90' DAY PRECEDING) as "Last 3 months", count(*) over (partition by c.customerid order by c.orderdate RANGE interval '30' DAY FOLLOWING) as "Following 1 month", count(*) over (partition by c.customerid order by c.orderdate RANGE interval '60' DAY FOLLOWING) as "Following 2 months", count(*) over (partition by c.customerid order by c.orderdate RANGE interval '90' DAY FOLLOWING) as "Following 3 months" from customer_orders c where orderdate < to_date('01/01/2011','dd/mm/yyyy')
Published by: 858747 on May 13, 2011 03:40
Published by: BluShadow on May 13, 2011 11:57
addition of {noformat}{noformat} tags to retain formatting. Please read: {message:id=9360002}
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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 23:25Well, 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> -
I have a requirement to get the records of previous values, I used the LEAD feature. The final result should return only rows that have multiple records... If its only one record then that is not part of the result.
I don't want the ID 3 because it contains only one record of the result above... rest should come. Any ideas?--Table Creation CREATE TABLE EHR( ID NUMBER, NAMEID VARCHAR2(100), SAL NUMBER, DT DATE); -- Inserting the data Insert into ehr (ID, NAMEID, SAL, DT) Values (1, 'A', 100, TO_DATE('10/08/2012 12:35:10', 'MM/DD/YYYY HH24:MI:SS')); Insert into ehr (ID, NAMEID, SAL, DT) Values (1, 'A', 200, TO_DATE('10/09/2012 12:35:16', 'MM/DD/YYYY HH24:MI:SS')); Insert into ehr (ID, NAMEID, SAL, DT) Values (1, 'A', 300, TO_DATE('10/10/2012 12:35:21', 'MM/DD/YYYY HH24:MI:SS')); Insert into ehr (ID, NAMEID, SAL, DT) Values (2, 'B', 100, TO_DATE('10/08/2012 12:35:10', 'MM/DD/YYYY HH24:MI:SS')); Insert into ehr (ID, NAMEID, SAL, DT) Values (2, 'B', 200, TO_DATE('10/09/2012 12:35:16', 'MM/DD/YYYY HH24:MI:SS')); Insert into ehr (ID, NAMEID, SAL, DT) Values (2, 'B', 300, TO_DATE('10/10/2012 12:35:21', 'MM/DD/YYYY HH24:MI:SS')); Insert into ehr (ID, NAMEID, SAL, DT) Values (3, 'C', 100, TO_DATE('10/17/2012 09:14:35', 'MM/DD/YYYY HH24:MI:SS')); COMMIT; -- Query select id,nameid, sal, dt, LEAD(sal,1,0) over ( partition by id order by id )as sal_prev, LEAD(dt) over ( partition by id order by id ) as dt_prev from ehr Order by id , DT desc -- Result ID NAMEID SAL DT SAL_PREV DT_PREV 1 A 300 10/10/2012 12:35:21 PM 200 10/9/2012 12:35:16 PM 1 A 200 10/9/2012 12:35:16 PM 100 10/8/2012 12:35:10 PM 1 A 100 10/8/2012 12:35:10 PM 0 2 B 300 10/10/2012 12:35:21 PM 200 10/9/2012 12:35:16 PM 2 B 200 10/9/2012 12:35:16 PM 100 10/8/2012 12:35:10 PM 2 B 100 10/8/2012 12:35:10 PM 0 3 C 100 10/17/2012 9:14:35 AM 0I think you want to delete the order of numbering and change the select * for columns that you need, if not, it seems, why not test on the sample table you provided?
Edited by: bencol on 17 October 2012 15:05
Edited by: bencol on 17 October 2012 15:08
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version 9.2
Here is a sample
Output: number of separate orders for each dateWITH 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
Dt Count 1/25 1 1/26 2ME_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?
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confusion with the analytical functions
I created an example where I am right now with the help of analytical functions. However, I need the query below to return an additional column. I need to return the result from:-' factor_day_sales * max (sdus)'. Any ideas?
If the first column is located and must have the following results
777777, 5791, 10, 1.5, 15, 90, 135, 7050
the 1350 is the result, I don't know how to do. (some how to multiply factored_day_sales max (sdus) 15 470 = 7050
Thanks for lookingcreate table david_sales ( pro_id number(38), salesidx number (38,6), tim_id number(38)); truncate table david_sales create table david_compensations ( pro_id number(38), tim_id number(38), factor number(38,6)); insert into david_sales values (777777, 10.00, 5795); insert into david_sales values (777777,20.00, 5795); insert into david_sales values (777777, 30.00, 5794); insert into david_sales values (777777, 40.00, 5794); insert into david_sales values (777777, 100.00, 5793); insert into david_sales values (777777, 10.00, 5793); insert into david_sales values (777777,80.00, 5791); insert into david_sales values (777777, 10.00, 5791); insert into david_compensations values (777777, 5795, 1.5); insert into david_compensations values (777777, 5793, 2.0); insert into david_compensations values (777777, 5792, 1.0); insert into david_compensations values (777777, 5791, 1.5); SELECT s.pro_id sales_pro , c.pro_id comp_pro , s.tim_id sales_tim , c.tim_id comp_tim , s.salesidx day_sales , NVL(c.factor, 1) factor , s.salesidx * NVL(c.factor, 1) factored_day_sales , sum(s.salesidx ) over (partition by s.pro_id order by s.pro_id, s.tim_id) Sdus , sum(s.salesidx * NVL(c.factor, 1)) over (partition by s.pro_id order by s.pro_id, s.tim_id) sumMjCj FROM david_sales s , david_compensations c WHERE s.pro_id = c.pro_id(+) AND s.tim_id = c.tim_id(+) AND s.tim_id BETWEEN 5791 AND 5795Is that what you want?
SELECT s.pro_id sales_pro , c.pro_id comp_pro , s.tim_id sales_tim , c.tim_id comp_tim , s.salesidx day_sales , NVL(c.factor, 1) factor , s.salesidx * NVL(c.factor, 1) factored_day_sales , sum(s.salesidx ) over (partition by s.pro_id order by s.pro_id, s.tim_id) Sdus , sum(s.salesidx * NVL(c.factor, 1)) over (partition by s.pro_id order by s.pro_id, s.tim_id) sumMjCj , (s.salesidx * NVL(c.factor, 1) * sum(s.salesidx ) over (partition by s.pro_id order by s.pro_id, s.tim_id)) FROM david_sales s , david_compensations c WHERE s.pro_id = c.pro_id(+) AND s.tim_id = c.tim_id(+) AND s.tim_id BETWEEN 5791 AND 5795 SALES_PRO COMP_PRO SALES_TIM COMP_TIM DAY_SALES FACTOR FACTORED_DAY_SALES SDUS SUMMJCJ SUMMEDMULTI ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- ---------------------- 777777 777777 5791 5791 80 1.5 120 90 135 10800 777777 777777 5791 5791 10 1.5 15 90 135 1350I get the 1350
or did you mean:
SELECT s.pro_id sales_pro , c.pro_id comp_pro , s.tim_id sales_tim , c.tim_id comp_tim , s.salesidx day_sales , NVL(c.factor, 1) factor , s.salesidx * NVL(c.factor, 1) factored_day_sales , sum(s.salesidx ) over (partition by s.pro_id order by s.pro_id, s.tim_id) Sdus , sum(s.salesidx * NVL(c.factor, 1)) over (partition by s.pro_id order by s.pro_id, s.tim_id) sumMjCj , s.salesidx * NVL(c.factor, 1) * (sum(s.salesidx * NVL(c.factor, 1)) over (partition by s.pro_id order by s.pro_id, s.tim_id)) summedMulti FROM david_sales s , david_compensations c WHERE s.pro_id = c.pro_id(+) AND s.tim_id = c.tim_id(+) AND s.tim_id BETWEEN 5791 AND 5795 SALES_PRO COMP_PRO SALES_TIM COMP_TIM DAY_SALES FACTOR FACTORED_DAY_SALES SDUS SUMMJCJ SUMMEDMULTI 777777 777777 5795 5795 10 1.5 15 300 470 7050Note, in the second block, I changed it just to use sumMjCj instead of sDus which seems to correlate with what you wanted (15 * 470 = 7050) while sdus is 15 * 300 = 4500
Published by: tanging on December 11, 2009 06:17
-
SQL using the analytic function
Hi allI want a help in the creation of my SQL query to retrieve the data described below:
I have a test of sample table containing data as below:
State ID Desc
MICHAEL 1 T1
ACTIVE 2 T2
T3 3 SUCCESS
DISABLE THE T4 4
The thing I want to do is to select all the lines with an ACTIVE status in the table but is there is no ACTIVE status, my request will give me the last line with MICHAEL status.
I can do this in a single request by using the analytical function for example, if yes can yiu help me on the request of unpacking.
Kind regards
Raluce
Something like that?
I had to fix it.
with testdata until)
Select 1 id, "T1" dsc "DISABLED" status of Union double all the
Select 2 id, 'T2' dsc, the status "ACTIVE" of all the double union
Select id 3, "T3" dsc, the status of 'SUCCESS' of all the double union
Select 4 id, "T4" dsc "DISABLED" status of double
)Select
ID
dsc
status
of testdata
where
status =
-case when (select count (*) in testdata where status = 'ACTIVE') > 0
then 'ACTIVE '.
Another 'DISABLED '.
end
and)
ID in (select id from testdata where status = ' ACTIVE')
or
ID = (select max (id) in testdata when status = 'DISABLED')
)STATE ID DSC
'2' 'T2' 'ACTIVE '.
Maybe it's more efficient
Select
ID
dsc
status
of testdata
where
status =
-case when (select count (*) in testdata where status = 'ACTIVE') > 0
then 'ACTIVE '.
Another 'DISABLED '.
end
and
ID =)
-case when (select count (*) in testdata where status = 'ACTIVE') > 0
then id
on the other
(select max (id) in testdata when status = 'DISABLED')
end
)Post edited by: correction of chris227
Post edited by: chris227
extended -
Need help to resolve the query by using analytic functions
Hello
I need help to solve this problem, I tried an analytical function but could not solve the problem.
I have three table as illustrated below the table is filled with a flat file. The records are arranged sequentailly based on the name of the file.
The first record of the game based on EIN goes to TAB_RCE
the following records then goes to TAB_RCW
and last save of the game based on EIN goes to the RCT table
How can I make groups and
assign a
EIN * 12345 * line number * 02, 03, 04 * in the table TAB_RCW and * 05 * in the table TAB_RCT
EIN * 67890 * line number * 07, 08, 09,10 * in the table TAB_RCW and * 11 * in the table TAB_RCT
and so on...
Thank you
Rajesh
TAB RCE_--------------------------------------------------------------
LineNumber EIN FILENAME TYPE
-----
01 12345 ABC NCE. TXT
06 67890 ABC NCE. TXT
12 76777 ABC NCE. TXT
-----
TAB_RCW
-----
LineNumber TYPE SSN FILENAME
-----
02 22222 ABC RCW. TXT
03 33333 ABC RCW. TXT
04 44444 ABC RCW. TXT
07 55555 ABC RCW. TXT
08 66666 ABC RCW. TXT
09 77777 ABC RCW. TXT
10 88888 ABC RCW. TXT
13 99998 ABC RCW. TXT
14 99999 ABC RCW. TXT
-----
TAB_RCT
-----
NAME OF THE FILE OF TYPE LINENUMBER
-----
RCT 05 ABC. TXT
RCT 11 ABC. TXT
RCT 15 ABC. TXT
-----SQL> with TAB_RCE as ( 2 select 'RCE' rtype,'01' linenumber, '12345' EIN,'ABC.TXT' FILENAME from dual union all 3 select 'RCE','06','67890','ABC.TXT' from dual union all 4 select 'RCE','12','76777','ABC.TXT' from dual 5 ), 6 TAB_RCW as ( 7 select 'RCW' rtype,'02' linenumber,'22222' ssn,'ABC.TXT' FILENAME from dual union all 8 select 'RCW','03','33333','ABC.TXT' from dual union all 9 select 'RCW','04','44444','ABC.TXT' from dual union all 10 select 'RCW','07','55555','ABC.TXT' from dual union all 11 select 'RCW','08','66666','ABC.TXT' from dual union all 12 select 'RCW','09','77777','ABC.TXT' from dual union all 13 select 'RCW','10','88888','ABC.TXT' from dual union all 14 select 'RCW','13','99998','ABC.TXT' from dual union all 15 select 'RCW','14','99999','ABC.TXT' from dual 16 ), 17 TAB_RCT as ( 18 select 'RCT' rtype,'05' linenumber,'ABC.TXT' FILENAME from dual union all 19 select 'RCT','11','ABC.TXT' from dual union all 20 select 'RCT','15','ABC.TXT' from dual 21 ) 22 select rtype, 23 last_value(ein ignore nulls) over(partition by filename order by linenumber) ein, 24 linenumber, 25 ssn 26 from ( 27 select rtype, 28 linenumber, 29 ein, 30 to_char(null) ssn, 31 filename 32 from TAB_RCE 33 union all 34 select rtype, 35 linenumber, 36 to_char(null) ein, 37 ssn, 38 filename 39 from TAB_RCW 40 union all 41 select rtype, 42 linenumber, 43 to_char(null) ein, 44 to_char(null) ssn, 45 filename 46 from TAB_RCt 47 ) 48 order by linenumber 49 / RTY EIN LI SSN --- ----- -- ----- RCE 12345 01 RCW 12345 02 22222 RCW 12345 03 33333 RCW 12345 04 44444 RCT 12345 05 RCE 67890 06 RCW 67890 07 55555 RCW 67890 08 66666 RCW 67890 09 77777 RCW 67890 10 88888 RCT 67890 11 RTY EIN LI SSN --- ----- -- ----- RCE 76777 12 RCW 76777 13 99998 RCW 76777 14 99999 RCT 76777 15 15 rows selected. SQL>SY.
-
Hi all
I have a table which includes
ID, first_name, last name and date of birth
I want to retrieve all the records that have the same name and DOB
for example.
ID, first_name, last name, DOB
1 xyz abc 01/01/2012
hij 2 efg 15/05/2012
3 xyz abc 01/01/2012
4 xyz abc 01/01/2012
so in the output of 1, 3 and 4 rows will appear only.
can someone advise please on the appropriate SQL function
Thanks in advance
Hello
One way is to use the analytical COUNT function:
WITH got_num_rows AS
(
SELECT id, first_name, last_name, dob
, COUNT (*) OVER (PARTITION BY first name
last_name
, dob
) AS num_rows
FROM table_x
)
SELECT id, first_name, last_name, dob
OF got_num_rows
WHERE num_rows > 1
;
The subquery is needed here, because the analytical functions are calculated after the WHERE clause has been applied. To use the results of an anlytic function in a WHERE clause, you must calculate the function in a subquery, then you can use the results where you want (including the WHERE clause) of a Super query.
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