OLAP Expression Analytical Functions and NA Values
Hello,
I am trying to use the SUM and MAX functions over a hierarchy where there are potentially NA values. I believe in OLAP DML, the natural behavior is to skip these values. Can a skip be accomplished with either the SUM or MAX OLAP Expression Syntax functions?
Cheers!
Pre-requisites:
===============
Time dimension with level=DAY.... i have restricted data to 1 month approx.. 20100101 to 20100201 (32 days).
Measure of interest - a (say)
Time Dimension attribute which indicates WEEKDAY.... if you have END_DATE attribute with date datatype so we can extract the DAY (MON/TUE/WED/...) from it and decipher wkday/wkend status for DAY.
Sort time as per END_DATE ..
Take care of other dimensions during testing... restrict all other dimensions of cube to single value. Final formula would be independent of other dimensions but this helps development/testing.
Step 1:
======
"Firm up the required design in olap dml
"rpr down time
" w 10 heading 't long' time_long_description
" w 10 heading 't end date' time_end_date
" w 20 heading 'Day Type' convert(time_end_date text 'DY')
" a
NOTE: version 1 of moving total
" heading 'moving minus 2 all' movingtotal(a, -2, 0, 1, time status)
" w 20 heading 'Day Type' convert(time_end_date text 'DY')
" heading 'a wkday' if convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' then a else na
NOTE: version 2 of moving total
" heading 'moving minus 2 wkday' movingtotal(a, -2, 0, 1, time convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN')
" w 20 heading 'Day Type' convert(time_end_date text 'DY')
" heading 'a wkday non-na' if convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' and a ne na then a else na
NOTE: version 3 of moving total
" heading 'moving minus 2 wkday non-na' movingtotal(a, -2, 0, 1, time convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' and a ne na)
OLAP DML Command:
rpr down time w 10 heading 't long' time_long_description w 10 heading 't end date' time_end_date w 20 heading 'Day Type' convert(time_end_date text 'DY') a heading 'moving minus 2 all' movingtotal(a, -2, 0, 1, time status) w 20 heading 'Day Type' convert(time_end_date text 'DY') heading 'a wkday' if convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' then a else na heading 'moving minus 2 wkday' movingtotal(a, -2, 0, 1, time convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN') w 20 heading 'Day Type' convert(time_end_date text 'DY') heading 'a wkday non-na' if convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' and a ne na then a else na heading 'moving minus 2 wkday non-na' movingtotal(a, -2, 0, 1, time convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' and a ne na)
Step 2:
======
"Define additional measure to contain the required/desired formula implementing the business requirements (version 3 above)
" create formula AF1 which points to last column... i.e. OLAP_DML_EXPRESSION
dfn af1 formula movingtotal(a, -2, 0, 1, time convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' and a ne na)
"NOTE: Do this via AWM using calculated member with template type = OLAP_DML_EXPRESSION so that the cube view for cube contains a column for measure AF1
OLAP DML Command:
rpr down time w 10 heading 't long' time_long_description w 10 heading 't end date' time_end_date w 20 heading 'Day Type' convert(time_end_date text 'DY') a heading 'a wkday non-na' if convert(time_end_date text 'DY') ne 'SAT' and convert(time_end_date text 'DY') ne 'SUN' and a ne na then a else na heading 'moving minus 2 wkday non-na (AF1)' af1
->
Step 3:
=======
Extend Oracle OLAP with regular SQL functionality like SQL ANALYTICAL functions to fill up the gaps for intermediate week days like DAY_20100104 (TUE), DAY_20100105 (WED) etc.
Use: SQL Analytical Function LAST_VALUE() in query.. i.e. in report or query.. dont use AF1 but use LAST_VALUE(af1).... as below pseudo-code:
LAST_VALUE(cube_view.af1) over (partition by <product, organization, ... non-time dimensions> order by <DAY_KEY_Col> range unbounded preceeding and current row)
HTH
Shankar
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GHi,
I am sure I need to use an analytic function to do this, I just cannot seem to get it right. I appreciate the help.
Table and insert statements: ...Thanks for posting the CREATE TABLE and INSERT statements.
Don't forget to explain how you get the results you want from that sample data.
GMoney wrote:
create table TST_CK
DOC_ID NUMBER(6) not null,
ROW_SEQ_NBR NUMBER(6) not null,
IND_VALUE VARCHAR2(2) null
INSERT INTO TST_CK VALUES ('1','6',NULL);
If doc_id and row_seq_nbr are NUMBERs, why are you inserting VARCHAR2 values, such as '1' and '6' (in single-quotes)?
Here is my desired result:
CV_1 CV_2
T ROr even better result would be:
concat(CV_1,CV_2)With result:
T,R
The results from the query you posted are:
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Data
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124680 ZY000489 1/11/2011 62 377 377
124680 ZY000489 1/11/2011 1 378 377
124680 ZY000489 1/11/2011 1 379 377
124680 ZY000489 1/11/2011 1 380 377
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124680 ZY000489 1/11/2011 1 382 381
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I tried using LAG Analytical function trying to lag dynamically with offset but had difficulties dynamically expanding the offset. Its an Control Break kind of functionality that i want to achieve in single SQL.
i Know we can do it using pl/sql construct but the challenge is to do it using single sql. Please help
Please let me know if you are able to do it in single SQL.
Thanksrohitgoswami wrote:
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124680 ZY000489 1/11/2011 1 379 NULL
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I want to identify parent Transaction Number for each row in above data.
The way to identify it is My parent transaction Id is
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124680 ZY000489 1/11/2011 62 377 377
124680 ZY000489 1/11/2011 1 378 377
124680 ZY000489 1/11/2011 1 379 377
124680 ZY000489 1/11/2011 1 380 377
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I tried using LAG Analytical function trying to lag dynamically with offset but had difficulties dynamically expanding the offset. Its an Control Break kind of functionality that i want to achieve in single SQL.
i Know we can do it using pl/sql construct but the challenge is to do it using single sql. Please help
Please let me know if you are able to do it in single SQL.
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TUBBY_TUBBZ?with
2 data (acc_no, batch_id, trans_date, trans_type, trans_no) as
3 (
4 select 124680, 'ZY000489', to_date('1/11/2011', 'mm/dd/yyyy'), 62 , 377 from dual union all
5 select 124680, 'ZY000489', to_date('1/11/2011', 'mm/dd/yyyy'), 1 , 378 from dual union all
6 select 124680, 'ZY000489', to_date('1/11/2011', 'mm/dd/yyyy'), 1 , 379 from dual union all
7 select 124680, 'ZY000489', to_date('1/11/2011', 'mm/dd/yyyy'), 1 , 380 from dual union all
8 select 124680, 'ZY000489', to_date('1/11/2011', 'mm/dd/yyyy'), 62 , 381 from dual union all
9 select 124680, 'ZY000489', to_date('1/11/2011', 'mm/dd/yyyy'), 1 , 382 from dual union all
10 select 124681, 'ZY000490', to_date('1/11/2011', 'mm/dd/yyyy'), 350 , 4000 from dual union all
11 select 124681, 'ZY000490', to_date('1/11/2011', 'mm/dd/yyyy'), 1 , 4001 from dual union all
12 select 124681, 'ZY000490', to_date('1/11/2011', 'mm/dd/yyyy'), 1 , 4002 from dual
13 )
14 select
15 acc_no,
16 batch_id,
17 trans_date,
18 trans_type,
19 trans_no,
20 case when trans_type != 1
21 then
22 trans_no
23 else
24 lag
25 (
26 case when trans_type = 1
27 then
28 null
29 else
30 trans_no
31 end
32 ignore nulls
33 ) over (partition by acc_no, batch_id, trans_date order by trans_no asc)
34 end as parent_trans_no
35 from data;
ACC_NO BATCH_ID TRANS_DATE TRANS_TYPE TRANS_NO PARENT_TRANS_NO
124680 ZY000489 11-JAN-2011 12 00:00 62 377 377
124680 ZY000489 11-JAN-2011 12 00:00 1 378 377
124680 ZY000489 11-JAN-2011 12 00:00 1 379 377
124680 ZY000489 11-JAN-2011 12 00:00 1 380 377
124680 ZY000489 11-JAN-2011 12 00:00 62 381 381
124680 ZY000489 11-JAN-2011 12 00:00 1 382 381
124681 ZY000490 11-JAN-2011 12 00:00 350 4000 4000
124681 ZY000490 11-JAN-2011 12 00:00 1 4001 4000
124681 ZY000490 11-JAN-2011 12 00:00 1 4002 4000
9 rows selected.
Elapsed: 00:00:00.01
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Analytical function and Update from Subquery
Hi
as my head is already spinning I kindly ask you to have a try:
I'm trying to calculate a date that lies X working days in the future of a given start date. I need to consider a calendar table that will give me all dates that are considered to be working days.
Testdata:
create table test_date
(start_date date,
days number,
end_date date);
Commit;
insert into test_date values (to_date('20100104','yyyymmdd') ,2,NULL);
insert into test_date values (to_date('20100108','yyyymmdd') ,1,NULL);
Commit;
create table my_calendar
(cal_date date,
use_day char(1));
Commit;
insert into my_calendar values (to_date('20100104','yyyymmdd') ,'Y');
insert into my_calendar values (to_date('20100105','yyyymmdd') ,'Y');
insert into my_calendar values (to_date('20100106','yyyymmdd') ,'Y');
insert into my_calendar values (to_date('20100107','yyyymmdd') ,'Y');
insert into my_calendar values (to_date('20100108','yyyymmdd') ,'Y');
insert into my_calendar values (to_date('20100109','yyyymmdd') ,'N');
insert into my_calendar values (to_date('20100110','yyyymmdd') ,'N');
insert into my_calendar values (to_date('20100111','yyyymmdd') ,'N');
insert into my_calendar values (to_date('20100112','yyyymmdd') ,'Y');
insert into my_calendar values (to_date('20100113','yyyymmdd') ,'Y');
insert into my_calendar values (to_date('20100114','yyyymmdd') ,'Y');
Commit;Desired output:
start_date days end_date
04.01.2010 2 06.01.2010
08.01.2010 1 12.01.2010
I can formulate this as a simple select with a subquery.
Select end_date
from (
select cal_date, MAX(cal_date) Over (ORDER BY cal_date ROWS between current row and 1 FOLLOWING) as end_date
from my_calendar
where cal_date >= to_date('20100108','yyyymmdd')
and use_day = 'Y')
Where cal_date = to_date('20100108','yyyymmdd')But I have no idea how to do the update as I cannot get the number of days and the start date into my inner subquery:
update test_date t
SET end_date = (
Select end_date
from (
select cal_date, MAX(cal_date) Over (ORDER BY cal_date ROWS between current row and t.days FOLLOWING) as end_date
from my_calendar
where cal_date >= t.start_date
and use_day = 'Y')
Where cal_date = t.start_date)I need to perform this calculation on approx 100k rows and would prefer not to use a function to wrap the subquery.
Any ideas how to solve this without a function call ?Something like this ?
SQL> select * from v$version ;
BANNER
Oracle Database 10g Enterprise Edition Release 10.2.0.4.0 - 64bi
PL/SQL Release 10.2.0.4.0 - Production
CORE 10.2.0.4.0 Production
TNS for Solaris: Version 10.2.0.4.0 - Production
NLSRTL Version 10.2.0.4.0 - Production
SQL> create table test_date
2 (start_date date,
3 days number,
4 end_date date);
Table created.
SQL> insert into test_date values (to_date('20100104','yyyymmdd') ,2,NULL);
1 row created.
SQL> insert into test_date values (to_date('20100108','yyyymmdd') ,1,NULL);
1 row created.
SQL> Commit;
Commit complete.
SQL> create table my_calendar
2 (cal_date date,
3 use_day char(1));
Table created.
SQL>
SQL> insert into my_calendar values (to_date('20100104','yyyymmdd') ,'Y');
1 row created.
SQL> insert into my_calendar values (to_date('20100105','yyyymmdd') ,'Y');
1 row created.
SQL> insert into my_calendar values (to_date('20100106','yyyymmdd') ,'Y');
1 row created.
SQL> insert into my_calendar values (to_date('20100107','yyyymmdd') ,'Y');
1 row created.
SQL> insert into my_calendar values (to_date('20100108','yyyymmdd') ,'Y');
1 row created.
SQL> insert into my_calendar values (to_date('20100109','yyyymmdd') ,'N');
1 row created.
SQL> insert into my_calendar values (to_date('20100110','yyyymmdd') ,'N');
1 row created.
SQL> insert into my_calendar values (to_date('20100111','yyyymmdd') ,'N');
1 row created.
SQL> insert into my_calendar values (to_date('20100112','yyyymmdd') ,'Y');
1 row created.
SQL> insert into my_calendar values (to_date('20100113','yyyymmdd') ,'Y');
1 row created.
SQL> insert into my_calendar values (to_date('20100114','yyyymmdd') ,'Y');
1 row created.
SQL> Commit;
Commit complete.
SQL> select * from test_date ;
START_DAT DAYS END_DATE
04-JAN-10 2
08-JAN-10 1
SQL> select * from my_calendar ;
CAL_DATE U
04-JAN-10 Y
05-JAN-10 Y
06-JAN-10 Y
07-JAN-10 Y
08-JAN-10 Y
09-JAN-10 N
10-JAN-10 N
11-JAN-10 N
12-JAN-10 Y
13-JAN-10 Y
14-JAN-10 Y
11 rows selected.
SQL> update test_date te set te.end_date = (select end_date from (select start_date, days, cal_date, use_day, lead(cal_date, t.days) over (partition by start_date order by cal_date) end_date from test_date t, my_calendar m where m.cal_date >= t.start_date and use_day = 'Y') where start_date = cal_date and start_date = te.start_date) ;
2 rows updated.
SQL> select * from test_date ;
START_DAT DAYS END_DATE
04-JAN-10 2 06-JAN-10
08-JAN-10 1 12-JAN-10
SQL> spool offNot sure how this will perform on 100K rows.
p.s. Just wanted to add that this query assumes that START_DATE in TEST_DATE will always be present in MY_CALENDAR as CAL_DATE and CAL_DATE in MY_CALENDAR is unique.
Edited by: user503699 on Jan 21, 2010 3:52 PM -
Anylytical Functions and DrillDown
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Tuning sql with analytic function
Dear friends I've developed one sql :
with REP as
(select /*+ MATERIALIZE */ branch_code,
row_number() over(partition by branch_code, account order by bkg_date desc ) R,
account,
bkg_date,
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from history t
select REP1.branch_code,
REP1.account,
REP1.bkg_date,
REP1.lcy_closing_bal,
NULL AS second,
REP2.bkg_date bkg_date2,
REP2.lcy_closing_bal lcy_closing_bal2,
NULL AS third,
REP3.bkg_date bkg_date3,
REP3.lcy_closing_bal lcy_closing_bal3
from (SELECT * FROM REP WHERE R=1) REP1, (SELECT * FROM REP WHERE R=2) REP2, (SELECT * FROM REP WHERE R=3) REP3
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(REP1.BRANCH_CODE = REP2.BRANCH_CODE(+) AND REP1.ACCOUNT = REP2.ACCOUNT(+)) AND
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Dear friends I've developed one sql :
with REP as
from (SELECT * FROM REP WHERE R=1) REP1,
(SELECT * FROM REP WHERE R=2) REP2,
(SELECT * FROM REP WHERE R=3) REP3
where
(REP1.BRANCH_CODE = REP2.BRANCH_CODE(+) AND REP1.ACCOUNT = REP2.ACCOUNT(+)) AND
(REP1.BRANCH_CODE = REP3.BRANCH_CODE(+) AND REP1.ACCOUNT = REP3.ACCOUNT(+))
The first step is to put your subquery (which doesn't need to be materialized) into an inline view and restrict the result set on r in (1,2,3) as suggested by thtsang - you don't need to query the same result set three times.
Then you're looking at a simple pivot operation (assuming the number of rows you want per branch and account is fixed). If you're on 11g search the manuals for PIVOT, on earlier versions you can do this with a decode() or case() operator.
Step 1 (which could go into another factored subquery) would be something like:
select
branch_code, account,
case r = 1 then bkg_date end bkg_date,
case r = 1 then lcy_closing_bal end lcy_closing_bal,
case r = 2 then bkg_date end bkg_date2,
case r = 2 then lcy_closing_bal end lcy_closing_bal2,
case r = 3 then bkg_date end bkg_date3,
case r = 3 then lcy_closing_bal end lcy_closing_bal3
from
repThis gives you the eight necessary columns, but still (up to) three rows per branch/account.
Then you aggregate this (call it rep1) on branch and account.
select
branch_code, account,
max(bkg_date),
max(lcy_closing_bal),
max(bkg_date2),
max(lcy_closing_bal2),
max(bkg_date3),
max(lcy_closing_bal3)
from
rep1
group by
branch_code, account
order by
branch_code, accountRegards
Jonathan Lewis
http://jonathanlewis.wordpress.com
Author: <b><em>Oracle Core</em></b> -
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. -
Completion of data series by analytical function
I have the pleasure of learning the benefits of analytical functions and hope to get some help
The case is as follows:
Different projects gets funds from different sources over several years, but not from each source every year.
I want to produce the cumulative sum of funds for each source for each year for each project, but so far I have not been able to do so for years without fund for a particular source.
I have used this syntax:
SUM(fund) OVER(PARTITION BY project, source ORDER BY year ROWS UNBOUNDED PRECEDING)
I have also experimented with different variations of the window clause, but without any luck.
This is the last step in a big job I have been working on for several weeks, so I would be very thankful for any help.If you want to use Analytic functions and if you are on 10.1.3.3 version of BI EE then try using Evaluate, Evaluate_aggr that support native database functions. I have blogged about it here http://oraclebizint.wordpress.com/2007/09/10/oracle-bi-ee-10133-support-for-native-database-functions-and-aggregates/. But in your case all you might want to do is have a column with the following function.
SUM(Measure BY Col1, Col2...)
I have also blogged about it here http://oraclebizint.wordpress.com/2007/10/02/oracle-bi-ee-101332-varying-aggregation-based-on-levels-analytic-functions-equivalence/.
Thanks,
Venkat
http://oraclebizint.wordpress.com -
How to use analytic function with aggregate function
hello
can we use analytic function and aggrgate function in same qurey? i tried to find any example on Net but not get any example how both of these function works together. Any link or example plz share with me
Edited by: Oracle Studnet on Nov 15, 2009 10:29 PMselect
t1.region_name,
t2.division_name,
t3.month,
t3.amount mthly_sales,
max(t3.amount) over (partition by t1.region_name, t2.division_name)
max_mthly_sales
from
region t1,
division t2,
sales t3
where
t1.region_id=t3.region_id
and
t2.division_id=t3.division_id
and
t3.year=2004
Source:http://www.orafusion.com/art_anlytc.htm
Here max (aggregate) and over partition by (analytic) function is in same query. So it means we can use aggregate and analytic function in same query and more than one analytic function in same query also.
Hth
Girish Sharma -
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 -
From analytical function to regular query
Hi all,
I was reading a tutorial for analytical function and i found something like this
sum(princial) keep(dense_rank first order by d_date) over partition by (userid, alias, sec_id, flow, p_date)
can somebody translate this into simple queries / subquery? i am aware that analytical function are faster but i would like to know
how this can translate to regular query.
can someone help me writing a regular query that will be produce same result as query above?
. thanks
Edited by: Devx on Jun 10, 2010 11:16 AMHi,
WITH CUSTOMERS AS
SELECT 1 CUST_ID ,'NJ' STATE_CODE,1 TIMES_PURCHASED FROM DUAL UNION ALL
SELECT 1,'CT',1 FROM DUAL UNION ALL
SELECT 2,'NY',10 FROM DUAL UNION ALL
SELECT 2,'NY',10 FROM DUAL UNION ALL
SELECT 1,'CT',10 FROM DUAL UNION ALL
SELECT 3,'NJ',2 FROM DUAL UNION ALL
SELECT 4,'NY',4 FROM DUAL
SELECT SUM(TIMES_PURCHASED) KEEP(DENSE_RANK FIRST ORDER BY CUST_ID ASC) OVER (PARTITION BY STATE_CODE) SUM_TIMES_PURCHASED_WITH_MIN,
SUM(TIMES_PURCHASED) KEEP(DENSE_RANK LAST ORDER BY CUST_ID) OVER (PARTITION BY STATE_CODE) SUM_TIMES_PURCHASED_WITH_MAX,
C.*
FROM CUSTOMERS C;
SUM_TIMES_PURCHASED_WITH_MIN SUM_TIMES_PURCHASED_WITH_MAX CUST_ID STATE_CODE TIMES_PURCHASED
11 11 1 CT 10
11 11 1 CT 1
1 2 3 NJ 2
1 2 1 NJ 1
20 4 4 NY 4
20 4 2 NY 10
20 4 2 NY 10The above given example is self explanatory, execute the SQL, you'll notice that in the first column the sum of TIMES_PURCHASED partitioned by state code of FIRST cust_id will be repeated for the STATE_CODE partition, in the second column, the sum of TIMES_PURCHASED partitioned by state code of LAST cust_id will be repeated for the STATE_CODE partition.
HTH
*009*
Edited by: 009 on Jun 10, 2010 10:53 PM -
Understanding row_number() and using it in an analytic function
Dear all;
I have been playing around with row_number and trying to understand how to use it and yet I still cant figure it out...
I have the following code below
create table Employee(
ID VARCHAR2(4 BYTE) NOT NULL,
First_Name VARCHAR2(10 BYTE),
Last_Name VARCHAR2(10 BYTE),
Start_Date DATE,
End_Date DATE,
Salary Number(8,2),
City VARCHAR2(10 BYTE),
Description VARCHAR2(15 BYTE)
insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
values ('01','Jason', 'Martin', to_date('19960725','YYYYMMDD'), to_date('20060725','YYYYMMDD'), 1234.56, 'Toronto', 'Programmer');
insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
values('02','Alison', 'Mathews', to_date('19760321','YYYYMMDD'), to_date('19860221','YYYYMMDD'), 6661.78, 'Vancouver','Tester')
insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
values('03','James', 'Smith', to_date('19781212','YYYYMMDD'), to_date('19900315','YYYYMMDD'), 6544.78, 'Vancouver','Tester')
insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
values('04','Celia', 'Rice', to_date('19821024','YYYYMMDD'), to_date('19990421','YYYYMMDD'), 2344.78, 'Vancouver','Manager')
insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
values('05','Robert', 'Black', to_date('19840115','YYYYMMDD'), to_date('19980808','YYYYMMDD'), 2334.78, 'Vancouver','Tester')
insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
values('06','Linda', 'Green', to_date('19870730','YYYYMMDD'), to_date('19960104','YYYYMMDD'), 4322.78,'New York', 'Tester')
insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
values('07','David', 'Larry', to_date('19901231','YYYYMMDD'), to_date('19980212','YYYYMMDD'), 7897.78,'New York', 'Manager')
insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
values('08','James', 'Cat', to_date('19960917','YYYYMMDD'), to_date('20020415','YYYYMMDD'), 1232.78,'Vancouver', 'Tester')I did a simple select statement
select * from Employee e
and it returns this below
ID FIRST_NAME LAST_NAME START_DAT END_DATE SALARY CITY DESCRIPTION
01 Jason Martin 25-JUL-96 25-JUL-06 1234.56 Toronto Programmer
02 Alison Mathews 21-MAR-76 21-FEB-86 6661.78 Vancouver Tester
03 James Smith 12-DEC-78 15-MAR-90 6544.78 Vancouver Tester
04 Celia Rice 24-OCT-82 21-APR-99 2344.78 Vancouver Manager
05 Robert Black 15-JAN-84 08-AUG-98 2334.78 Vancouver Tester
06 Linda Green 30-JUL-87 04-JAN-96 4322.78 New York Tester
07 David Larry 31-DEC-90 12-FEB-98 7897.78 New York Manager
08 James Cat 17-SEP-96 15-APR-02 1232.78 Vancouver TesterI wrote another select statement with row_number. see below
SELECT first_name, last_name, salary, city, description, id,
ROW_NUMBER() OVER(PARTITION BY description ORDER BY city desc) "Test#"
FROM employee
and I get this result
First_name last_name Salary City Description ID Test#
Celina Rice 2344.78 Vancouver Manager 04 1
David Larry 7897.78 New York Manager 07 2
Jason Martin 1234.56 Toronto Programmer 01 1
Alison Mathews 6661.78 Vancouver Tester 02 1
James Cat 1232.78 Vancouver Tester 08 2
Robert Black 2334.78 Vancouver Tester 05 3
James Smith 6544.78 Vancouver Tester 03 4
Linda Green 4322.78 New York Tester 06 5
I understand the partition by which means basically for each associated group a unique number wiill be assigned for that row, so in this case since tester is one group, manager is another group, and programmer is another group then tester gets its own unique number for each row, manager as well and etc.What is throwing me off is the order by and how this numbering are assigned. why is
1 assigned to Alison Mathews for the tester group and 2 assigned to James Cat and 3 assigned Robert Black
I apologize if this is a stupid question, i have tried reading about it online and looking at the oracle documentation but that still dont fully understand why.user13328581 wrote:
understanding row_number() and using it in an analytic functionROW_NUMBER () IS an analytic fucntion. Are you trying to use the results of ROW_NUMBER in another analytic function? If so, you need a sub-query. Analuytic functions can't be nested within other analytic functions.
...I have the following code below
... I did a simple select statementThanks for posting all that! It's really helpful.
... and I get this result
First_name last_name Salary City Description ID Test#
Celina Rice 2344.78 Vancouver Manager 04 1
David Larry 7897.78 New York Manager 07 2
Jason Martin 1234.56 Toronto Programmer 01 1
Alison Mathews 6661.78 Vancouver Tester 02 1
James Cat 1232.78 Vancouver Tester 08 2
Robert Black 2334.78 Vancouver Tester 05 3
James Smith 6544.78 Vancouver Tester 03 4
Linda Green 4322.78 New York Tester 06 5... What is throwing me off is the order by and how this numbering are assigned. why is
1 assigned to Alison Mathews for the tester group and 2 assigned to James Cat and 3 assigned Robert Black That's determined by the analytic ORDER BY clause. Yiou said "ORDER BY city desc", so a row where city='Vancouver' will get a lower namber than one where city='New York', since 'Vancouver' comes after 'New York' in alphabetic order.
If you have several rows that all have the same city, then you can be sure that ROW_NUMBER will assign them consecutive numbers, but it's arbitrary which one of them will be lowest and which highest. For example, you have 5 'Tester's: 4 from Vancouver and 1 from New York. There's no particular reason why the one with first_name='Alison' got assinge 1, and 'James' got #2. If you run the same query again, without changing the table at all, then 'Robert' might be #1. It's certain that the 4 Vancouver rows will be assigned numbers 1 through 4, but there's no way of telling which of those 4 rows will get which of those 4 numbers.
Similar to a query's ORDER BY clause, the analytic ORDER BY clause can have two or more expressions. The N-th one will only be considered if there was a tie for all (N-1) earlier ones. For example "ORDER BY city DESC, last_name, first_name" would mena 'Vancouver' comes before 'New York', but, if multiple rows all have city='Vancouver', last_name would determine the order: 'Black' would get a lower number than 'Cat'. If you had multiple rows with city='Vancouver' and last_name='Black', then the order would be determined by first_name. -
Oracle Express(Analytical workspace?) and Oracle warehousebuilder
Can somebody please explain when and why to use
Oracle Express(Analytical workspace?) and Oracle warehousebuilder.
When should each of these tools be used?Oracle Express is an old, de-supported product that has been replaced by Oracle Database OLAP Server http://otn.oracle.com/products/bi/olap/olap.html.
Oracle Warehouse Builder (OWB) is a data integration design and management tool. One of OWB's areas of functionality is enabling OLAP. All OWB OLAP related materials are summarized and linked from OWB Self-service Education page here http://otn.oracle.com/products/warehouse/selfserv_edu/OLAP_cube_creation.html
Nikolai Rochnik
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