11G SQL pivot example?
Hello,
Can anyone help me write a SQL pivot statement using 11G to do the following?:
Table columns
=========
Deliverable
Phase (For simplicity we'll make the total possible Phase values equal 1 to 13)
Delv_IN_Phase_Y_N Char(3) values 'Yes' or 'No'
I want to make a matrix with these 3 columns in the above table (in reality a complex view) :
- Deliverable is first column.
- Next 13 column headers display 1 to 13 (the posiible values contained in the 'Phase' column).
- The matrix values under the 'Phase' Column headers are the Yes/No values held in the Delv_in_Phase column.
Deliverable Phase 1 Phase 2 Phase 3 Phase 4 ......... Phase 13
=========================================================
Product Market Plan Yes No No Yes No
Bid Plan No Yes No ...........................................
Contract Summary ................................................................................
Quality Plan .................................................................................
Thanks for any help in advance.
Carol
Just a simple example based on what I could grasp from your table description.
I assume you can't have more than 1 value (either 'yes' or 'no' for a given deliverable in each phase).
Connected to Oracle Database 11g Enterprise Edition Release 11.1.0.6.0
Connected as fsitja
SQL> with t as (
2 select 'Product Market Plan' deliverable, 1 phase, 'NO' Delv_IN_Phase_Y_N from dual union all
3 select 'Product Market Plan' deliverable, 2 phase, 'YES' Delv_IN_Phase_Y_N from dual union all
4 select 'Product Market Plan' deliverable, 3 phase, 'YES' Delv_IN_Phase_Y_N from dual union all
5 select 'Bid Plan', 1, 'YES' from dual union all
6 select 'Bid Plan', 2, 'NO' from dual union all
7 select 'Bid Plan', 3, 'NO' from dual union all
8 select 'Contract Summary', 1, 'NO' from dual union all
9 select 'Contract Summary', 2, 'NO' from dual union all
10 select 'Contract Summary', 3, 'YES' from dual union all
11 select 'Quality Plan', 1, 'YES' from dual union all
12 select 'Quality Plan', 2, 'YES' from dual union all
13 select 'Quality Plan', 3, 'NO' from dual)
14 -- END OF SAMPLE DATA
15 SELECT *
16 FROM t
17 PIVOT(MAX(delv_in_phase_y_n) FOR phase IN (1 AS phase_1, 2 AS phase_2, 3 AS phase_3))
18 /
DELIVERABLE PHASE_1 PHASE_2 PHASE_3
Contract Summary NO NO YES
Bid Plan YES NO NO
Product Market Plan NO YES YES
Quality Plan YES YES NO
SQL> You can play around and expand the pivot by adding the whole 13 values inside the "FOR phase IN (val1 as column1, etc)" just thought I'd keep it simple.
=> [Documentation Reference here|http://download.oracle.com/docs/cd/E11882_01/server.112/e10592/statements_10002.htm#CHDCEJJE]
Regards.
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I need to some help to PIVOT my dataset, need to move the description column to individual columns, so I have 1 row for eaach id
below is an example
declare @Pivot table (
S_dates datetime
, id varchar(10)
, code varchar(100)
, description varchar(max))
insert @Pivot select '2014-03-24 00:00:00.000','1580/7','07611819360532','Matrix 90° L-Plate, medium, 2+2 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert @Pivot select '2014-03-24 00:00:00.000','1580/7','07611819362369','Matrix Screw Ø 1.85 mm, self-drilling, length 4 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-24 00:00:00.000','1580/7','07611819362383','Matrix Screw Ø 1.85 mm, self-drilling, length 5 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-24 00:00:00.000','1580/7','07611819362437','Matrix Screw Ø 2.1 mm, self-tapping, length 4 mm, Titanium Alloy (TAN), sterile, pack of 1 unit in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','7551/4','07611819362406','Matrix Screw Ø 1.85 mm, self-drilling, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','7551/4','07611819362437','Matrix Screw Ø 2.1 mm, self-tapping, length 4 mm, Titanium Alloy (TAN), sterile, pack of 1 unit in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','7551/4','07611819377523','Matrix Drill Bit Ø 1.4 mm with Stop, length 44.5/8 mm, for J-Latch Coupling, sterile'
insert @Pivot select '2014-03-21 00:00:00.000','4820/4','07611819360709','Matrix Anatomic L-Plate, short, 3+3 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert @Pivot select '2014-03-21 00:00:00.000','4820/4','07611819362222','Matrix Screw Ø 1.85 mm, self-tapping, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','4820/4','07611819377523','Matrix Drill Bit Ø 1.4 mm with Stop, length 44.5/8 mm, for J-Latch Coupling, sterile'
insert @Pivot select '2014-03-21 00:00:00.000','3738/4','07611819360709','Matrix Anatomic L-Plate, short, 3+3 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert @Pivot select '2014-03-21 00:00:00.000','3738/4','07611819362222','Matrix Screw Ø 1.85 mm, self-tapping, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','3738/4','07611819362406','Matrix Screw Ø 1.85 mm, self-drilling, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','3738/4','07611819362437','Matrix Screw Ø 2.1 mm, self-tapping, length 4 mm, Titanium Alloy (TAN), sterile, pack of 1 unit in Clip'
insert @Pivot select '2014-03-21 00:00:00.000','3738/4','07611819377523','Matrix Drill Bit Ø 1.4 mm with Stop, length 44.5/8 mm, for J-Latch Coupling, sterile'
insert @Pivot select '2014-03-21 00:00:00.000','6578/1','07611819360709','Matrix Anatomic L-Plate, short, 3+3 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert @Pivot select '2014-03-21 00:00:00.000','6578/1','07611819362406','Matrix Screw Ø 1.85 mm, self-drilling, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert @Pivot select '2014-03-12 00:00:00.000','7666/1','07611819381100','Drill Bit Ø 1.5 mm with Stop, length 50/6 mm, 2-flute, for J-Latch Coupling, sterile'
select * from @PivotHi,
Please see the Query below hope it helps. Its dynamic with data. I have used Temp Tables instead of table variables. Hope its helps.
Create
table #Pivot (
S_dates
datetime
, id varchar(10)
, code varchar(100)
, description
varchar(max))
insert #Pivot
select '2014-03-24 00:00:00.000','1580/7','07611819360532','Matrix
90° L-Plate, medium, 2+2 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert #Pivot
select '2014-03-24 00:00:00.000','1580/7','07611819362369','Matrix
Screw Ø 1.85 mm, self-drilling, length 4 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-24 00:00:00.000','1580/7','07611819362383','Matrix
Screw Ø 1.85 mm, self-drilling, length 5 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-24 00:00:00.000','1580/7','07611819362437','Matrix
Screw Ø 2.1 mm, self-tapping, length 4 mm, Titanium Alloy (TAN), sterile, pack of 1 unit in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','7551/4','07611819362406','Matrix
Screw Ø 1.85 mm, self-drilling, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','7551/4','07611819362437','Matrix
Screw Ø 2.1 mm, self-tapping, length 4 mm, Titanium Alloy (TAN), sterile, pack of 1 unit in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','7551/4','07611819377523','Matrix
Drill Bit Ø 1.4 mm with Stop, length 44.5/8 mm, for J-Latch Coupling, sterile'
insert #Pivot
select '2014-03-21 00:00:00.000','4820/4','07611819360709','Matrix
Anatomic L-Plate, short, 3+3 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert #Pivot
select '2014-03-21 00:00:00.000','4820/4','07611819362222','Matrix
Screw Ø 1.85 mm, self-tapping, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','4820/4','07611819377523','Matrix
Drill Bit Ø 1.4 mm with Stop, length 44.5/8 mm, for J-Latch Coupling, sterile'
insert #Pivot
select '2014-03-21 00:00:00.000','3738/4','07611819360709','Matrix
Anatomic L-Plate, short, 3+3 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert #Pivot
select '2014-03-21 00:00:00.000','3738/4','07611819362222','Matrix
Screw Ø 1.85 mm, self-tapping, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','3738/4','07611819362406','Matrix
Screw Ø 1.85 mm, self-drilling, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','3738/4','07611819362437','Matrix
Screw Ø 2.1 mm, self-tapping, length 4 mm, Titanium Alloy (TAN), sterile, pack of 1 unit in Clip'
insert #Pivot
select '2014-03-21 00:00:00.000','3738/4','07611819377523','Matrix
Drill Bit Ø 1.4 mm with Stop, length 44.5/8 mm, for J-Latch Coupling, sterile'
insert #Pivot
select '2014-03-21 00:00:00.000','6578/1','07611819360709','Matrix
Anatomic L-Plate, short, 3+3 holes, reversible, thickness 0.8 mm, Pure Titanium, sterile'
insert #Pivot
select '2014-03-21 00:00:00.000','6578/1','07611819362406','Matrix
Screw Ø 1.85 mm, self-drilling, length 6 mm, Titanium Alloy (TAN), sterile, pack of 4 units in Clip'
insert #Pivot
select '2014-03-12 00:00:00.000','7666/1','07611819381100','Drill
Bit Ø 1.5 mm with Stop, length 50/6 mm, 2-flute, for J-Latch Coupling, sterile'
select
* from #Pivot
Declare @SQL
Varchar(max)
, @Var
Varchar(max)
SELECT
@Var=coalesce(@Var+',','')+'['
+ code +']'
FROM
(Select
DISTINCT code from #Pivot)
as A
Select @Var
SET @SQL
= ''
SET @SQL
= '
SELECT id, S_dates,'
+
@Var
+'
FROM
(SELECT *
FROM #Pivot) AS SourceTable PIVOT
MAX(description)
FOR Code IN ('+ @Var
+ ')
) AS PivotTable;'
Exec
(@SQL)
Regards, PS -
Hi Experts
I recently purchased a copy of Gordon's book to help me create a pivot query based on the examples at the end which I hope to show me a set of data based on my Sales Order tables. Unfortunately I have found it a little too complex.
In my ORDR table I have 10 UDFs which relate to various statuses and dates in the sales order process.
What I would like is to see a pivot table query of the sum quanties of items at the different stages (as rows) against the dates in weeks.
In the rows would be the status UDF fields:
U_DES_STAGE
U_PRN_STAGE
U_PRS_STAGE
U_SEW_STAGE
U_EMB_STAGE
for each UDF there is an associated date UDF
U_DES_STAGE_DATE
U_PRN_STAGE_DATE
U_PRS_STAGE_DATE
U_SEW_STAGE_DATE
U_EMB_STAGE_DATE
The columns I require in the pivot table would be the UDF stage dates which are always input for the week ending Friday.
The data in the pivot should be the sum of the quantities in the sales orders rows RDR1.
Stage
W/E 14/3/2014
W/E 21/3/2014
W/E 28/3/2014
W/E 4/4/2014
W/E 11/4/2014
W/E 18/4/2014
DES
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
PRN
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
PRS
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
SEW
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
EMB
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
Sum of Qty
The problem is that I am not sure as to how to add the WHERE clause to limit the results to only the 5 items (DES% or PRN% or PRS% or SEW% or EMB%)
I would be very grateful for any assistance.
Regards
GeoffHi Gordon - you're very welcome. The content of the book is very helpful to an SQL novice!
Essentially the 10 UDF are for recording each stage of the processes involved in the sales order. there are 5 processes so each process has 2 fields - one records the initals of the staff member who is responsible and the other records the date the process is scheduled for.
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Document Number
Quantity
Design - Scheduled Date
Dye Print Scheduled Date
Dye Press Scheduled Date
Dye Sewing Scheduled Date
Embroidery - Scheduled Date
Print – Scheduled Date
298835
315
12.07.10
06.09.10
300058
144
22.07.10
06.09.10
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29
01.10.10
302330
15
30.09.10
30.09.10
302820
460
05.10.10
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55
20.09.10
22.09.10
303476
86
06.10.10
06.10.10
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13
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106
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99
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304186
6
27.08.10
27.08.10
304331
10
07.09.10
07.09.10
304382
16
29.09.10
29.09.10
304399
15
19.08.10
304556
85
01.10.10
22.10.10
304557
11
29.09.10
29.09.10
304563
8
29.09.10
29.09.10
304567
7
29.09.10
304570
19
01.10.10
22.10.10
304571
113
01.10.10
22.10.10
304576
11
29.09.10
29.09.10
304603
72
22.09.10
23.09.10
304604
86
22.09.10
23.09.10
304606
107
22.09.10
23.09.10
304608
107
22.09.10
23.09.10
304613
107
22.09.10
23.09.10
304693
12
29.09.10
29.09.10
304710
5
29.09.10
304760
6
29.09.10
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304765
4
29.09.10
304899
42
15.09.10
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100
22.09.10
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304974
719
27.09.10
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304975
401
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DEPTNO ______ JOB ________ SAL
10 ______ ANALYST ________ 23000
10 ______ SALESMAN ________ 1500
10 _______ CLERK ________ 3550
20 _______ SALESMAN ________ 700
20 _______ ANALYST ________ 4200
30 _______ SALESMAN ________ 5600
30 _______ CLERK _______ 12000
30 _______ ANALYST _______ 19000
--And I wish to convert it into this structure:
DEPTNO ________ ANALYST ________ SALESMAN _________ CLERK
10 ________ 23000 ________ 1500 _________ 3550
20 ________ 4200 ________ 700 _________ NULL
30 ________ 19000 ________ 5600 _________ 12000
It may be dynamic. i.e Later i inserted more two records into My_tab.
insert into my_tab ( deptno,JOB, sal) values ( 20, 'CLERK', 3400);
insert into my_tab ( deptno,JOB, sal) values ( 30, 'MANAGER', 48000);
So it should be dynamic.
output is like this.
DEPTNO ________ ANALYST ______ SALESMAN ______ CLERK ______ MANAMGER
10 ________ 23000 ______ 1500 ______ 3550 ______ NULL
20 ________ 4200 ______ 700 ______ 3400 ______ NULL
30 ________ 19000 ______ 5600 ______ 12000 ______ 48000
Please help me regarding this.
With warm regards,
PrasantaHi, Prasanta,
Displaying one column from many rows as many columns on one row is called Pivoting . The following thread shows the basics of how to pivot:
Help for a query to add columns
That example uses the aggregate COUNT function; you'll want SUM (or possibly MIN or MAX) instead.
Getting a dynamic number of columns requires Dynamic SQL . As a simpler alternative to pivoting and dynamic SQL, you might consider String Aggregation , where you concatenate a column from many rows into one big string, to be displayed on one row.
See the following thread for more about string aggregation and other options on pivoting into a variable number of columns:
Re: Report count and sum from many rows into many columns -
dear all,
i am trying to use 11g new feature sql perfomance analyzer SPA to check the result of changing intialization parameter on certain sql tuning set , the problem is the enterprize manager gives me list of 106 parameter to choose one of them , which is the isses_modifiable parameters,
my questions is can i use this feature to check the result of changing one of parameters out of this scope (db_block_size) for example,
thanks for readingThis is a duplicate.
Please be courteous to others and only post your question one time and in the appropriate forum.
Thank you. -
Dynamic SQL PIVOT not producing output?
Hey all,
Find my source code with test data scripts below. Since my production system is not connected to the inet, I had to type this
"by hand" as it were, so please pardon any mispellings. I have no way to test on my inet-enabled PC before posting.
Anyways, here's my issue: if you run the below code as PL/SQL script, it runs fine but it produces NO output (it should display a
grid of data). That is my dilemma. How to get my dynamic pivot to actually SHOW the data. So I've been experimenting with
EXECUTE IMMEDIATE, but when I use that syntax, it blows up with the error:
PLS-00321: expression 'TMPTABLE' is inappropriate as the left hand side of an assignment statement
I have provide the lines below which cause the error, but they are commented out so you can see it runs fine the 1st way (yet
displays no data) and blows up the 2nd way. I would appreciate your insights.
Thanks
DROP TABLE table1;
DROP TABLE table2;
DROP TABLE datetable;
CREATE TABLE table1
TIME_STAMP TIMESTAMP(6) DEFAULT systimestamp NOT NULL,
Id VARCHAR2(50 BYTE) NOT NULL
CREATE TABLE table2
NAME VARCHAR2(50 BYTE),
Id VARCHAR2(50 BYTE) NOT NULL
CREATE TABLE datetable
YEAR_WEEK VARCHAR2(7 BYTE),
WEEK_START_DATE DATE
INSERT INTO table1 VALUES (to_date(‘05/30/2011’,’MM/DD/YYYY’),’1’);
INSERT INTO table1 VALUES (to_date(‘05/31/2011’,’MM/DD/YYYY’),’1’);
INSERT INTO table1 VALUES (to_date(‘06/01/2011’,’MM/DD/YYYY’),’1’);
INSERT INTO table1 VALUES (to_date(‘06/02/2011’,’MM/DD/YYYY’),’1’);
INSERT INTO table1 VALUES (to_date(‘06/03/2011’,’MM/DD/YYYY’),’2’);
INSERT INTO table1 VALUES (to_date(‘06/04/2011’,’MM/DD/YYYY’),’2’);
INSERT INTO table1 VALUES (to_date(‘06/05/2011’,’MM/DD/YYYY’),’2’);
INSERT INTO table1 VALUES (to_date(‘06/07/2011’,’MM/DD/YYYY’),’2’);
INSERT INTO table1 VALUES (to_date(‘06/08/2011’,’MM/DD/YYYY’),’1’);
INSERT INTO table1 VALUES (to_date(‘06/09/2011’,’MM/DD/YYYY’),’1’);
INSERT INTO table1 VALUES (‘Bob’,’1’);
INSERT INTO table1 VALUES (‘Gary’,’2’);
INSERT INTO table1 VALUES (‘2011-21’,to_date(‘05/23/2011’,’MM/DD/YYYY’));
INSERT INTO table1 VALUES (‘2011-22’,to_date(‘05/30/2011’,’MM/DD/YYYY’));
INSERT INTO table1 VALUES (‘2011-23’,to_date(‘06/06/2011’,’MM/DD/YYYY’));
INSERT INTO table1 VALUES (‘2011-24’,to_date(‘06/13/2011’,’MM/DD/YYYY’));
DECLARE
sql_txt VARCHAR2 (32767);
--keep the below commented for the 1st test, uncomment for 2nd test
--TYPE tmpTable IS TABLE OF VARCHAR2(100) INDEX BY BINARY_INTEGER;
BEGIN
sql_txt :=
Q'{WITH got_dates AS
SELECT b.name,
COUNT(*) AS Responded,
iso.week_start_date AS week_start_date
FROM
table1 a INNER JOIN table2 b ON
(a.id = b.id) INNER JOIN datetable iso ON
((case when to_char(a.time_stamp, 'IW')='53' then to_char(cast(to_char(a.time_stamp, 'IYYY') as int)+1) || '-01' else to_char(a.time_stamp, 'IYYY-IW') end) = iso.year_week)
WHERE
(a.time_stamp >= sysdate-30)
GROUP BY
iso.week_start_date,
b.name
SELECT *
FROM got_dates
PIVOT (
SUM (Responded) FOR week_start_date IN (
FOR d_rec IN (
WITH possible_dates AS
SELECT SYSDATE + 1 - LEVEL AS time_stamp
FROM DUAL
CONNECT BY LEVEL <= 31
SELECT DISTINCT 'DATE '''
|| TO_CHAR ( c.week_start_date
, 'YYYY-MM-DD'
|| ''' AS '
|| TO_CHAR ( c.week_start_date
, 'mon_dd_yyyy'
|| CASE
WHEN DENSE_RANK () OVER (ORDER BY c.week_start_date) > 1
THEN ','
END AS txt
FROM possible_dates p
INNER JOIN datetable c ON c.year_week =
CASE
WHEN TO_CHAR ( p.time_stamp, 'IW') = '53'
THEN TO_CHAR (cast(TO_CHAR(p.time_stamp,'IYYY') AS int)+1) || '-01'
ELSE TO_CHAR ( p.time_stamp, 'IYYY-IW')
END
ORDER BY txt DESC
LOOP
sql_txt := sql_txt || ' ' || d_rec.txt;
END LOOP;
sql_txt := sql_txt || ') )';
--keep the below commented for the 1st test, uncomment for 2nd test. also, comment out the 2nd EXECUTE IMMEDIATE (only 1 at a time should be uncommented)
--EXECUTE IMMEDIATE sql_txt BULK COLLECT INTO tmpTable;
EXECUTE IMMEDIATE sql_txt;
END;Edited by: user8825851 on Oct 6, 2011 2:12 PMHi,
user8825851 wrote:
Find my source code with test data scripts below. Since my production system is not connected to the inet, I had to type this
"by hand" as it were, so please pardon any mispellings. I have no way to test on my inet-enabled PC before posting. Install an Oracle database on your PC. It's free and it's not difficult. if you're going to use this forum, whatever time you have to invest in it will pay off within a week.
http://www.oracle.com/technetwork/database/enterprise-edition/downloads/index.html
Anyways, here's my issue: if you run the below code as PL/SQL script, it runs fine but it produces NO output (it should display a
grid of data)...In PL/SQL, you always have to SELECT into something.
One simple way is to open a cursor. Before running the PL/SQL code, declare a bind variable for the cursor:
VARIABLE c REFCURSOR
-- And while you're at it, do this, too
SET SERVEROUTPUT ONIn the PL/SQL code, use an OPEN statement in place of EXECUTE IMMEDIATE:
... dbms_output.put_line (sql_txt); -- For debugging only
-- EXECUTE IMMEDIATE sql_txt; -- Don't do this
OPEN :c FOR sql_txt; -- Do this instead
END;
/After the PL/SQL is finsihed, you can use PRINT to see the results:
PRINT :cIn this case, you'll get an error message because the dynamic code is incorrect. That's what the call to put_line is for: to show exactly what you're running. If there's a problem, you can examine the output, or copy it into a script, edit it and debug it.
In this case, you'll see that the dynamic SQL ends with:
PIVOT (
SUM (Responded) FOR week_start_date IN (
) )The part that's supposed to be dynamic is missing. That part is supposed to be written inside the d_rec cursor loop, but d_rec is returning no rows. That's because of the join condition:
INNER JOIN datetable c ON c.year_week =
CASE
WHEN TO_CHAR ( p.time_stamp, 'IW') = '53'
THEN TO_CHAR (cast(TO_CHAR(p.time_stamp,'IYYY') AS int)+1) || '-01'
ELSE TO_CHAR ( p.time_stamp, 'IYYY-IW')
END With the given sample data, p.time_stamp is producing values between '2011-36' and '2011-40', but the values in c.week are
INSERT INTO table1 VALUES (‘2011-21’,to_date(‘05/23/2011’,’MM/DD/YYYY’));
INSERT INTO table1 VALUES (‘2011-22’,to_date(‘05/30/2011’,’MM/DD/YYYY’));
INSERT INTO table1 VALUES (‘2011-23’,to_date(‘06/06/2011’,’MM/DD/YYYY’));
INSERT INTO table1 VALUES (‘2011-24’,to_date(‘06/13/2011’,’MM/DD/YYYY’));(I assume you meant "INSERT INTO *datetable* " above.)
Perhaps you meant LEFT OUTER JOIN instead of INNER JOIN in d_rec. -
11g SQL query syntax/results differ from 10g
Hello,
A bit of an odd situation. We have a report in 10g that is working as expected and when we run the same report in 11g we slightly different results. The same physical tables and columns are being used between each report and the number of records (17) returned to OBI are the same. Both queries are pulling from the same database with the same user id. As there are differences in how 10g runs queries vs 11g, are there any odd behaviors that I should keep an eye out for in how 11g assembles the data that's returned from the db prior to presenting it on the Analysis?
10g Results (correct):
Region...............Actuals (Prior Qtr).....Up...........Plan Amount....................% of Plan
AP...........................10,489..............8,965..............................................................
Americas................114,208...........110,779..................6...........................1969411%
EMEA.....................26,799..............23,976..............................................................
UNASSIGNED....................................................149,957...........................0%
Grand Total.............151,496...........143,721..........149,962.........................96%
11g Results (incorrect):
Region...............Actuals (Prior Qtr).....Up...........Plan Amount....................% of Plan
AP...........................10,180..............8,965............................................................
Americas.................90,878...........110,779............................................................
EMEA.....................24,978.............23,976............................................................
UNASSIGNED....................................................149,957...........................0%
Grand Total.............126,037..........143,721..........149,957.........................96%
Thank you!
Mike
-------------------- 10g query--------------------------
-------------------- Sending query to database named EBS Rapid Data Store (id: <<5087545>>):
WITH
SAWITH0 AS (select T28761.PERIOD_NAME as c2,
T28761.PERIOD_START_DATE as c3,
T28761.QUARTER_RANK as c4,
ROW_NUMBER() OVER (PARTITION BY T28761.QUARTER_RANK ORDER BY T28761.QUARTER_RANK DESC) as c5
from
XXFI.XXFI_GL_FISCAL_MONTHS_V T28761 /* Dim_Periods */ ),
SAWITH1 AS (select Case when case SAWITH0.c5 when 1 then SAWITH0.c3 else NULL end is not null then Rank() OVER ( ORDER BY case SAWITH0.c5 when 1 then SAWITH0.c3 else NULL end ASC NULLS LAST ) end as c1,
SAWITH0.c2 as c2,
SAWITH0.c4 as c3
from
SAWITH0),
SAWITH2 AS (select min(SAWITH1.c1) over (partition by SAWITH1.c3) as c1,
SAWITH1.c2 as c2
from
SAWITH1),
SAWITH3 AS (select distinct SAWITH2.c1 + 1 as c1,
SAWITH2.c2 as c2
from
SAWITH2),
SAWITH4 AS (select T28761.QUARTER_RANK as c2,
T28761.QUARTER_YEAR_NAME as c3,
T28761.PERIOD_START_DATE as c4,
ROW_NUMBER() OVER (PARTITION BY T28761.QUARTER_RANK ORDER BY T28761.QUARTER_RANK DESC) as c5
from
XXFI.XXFI_GL_FISCAL_MONTHS_V T28761 /* Dim_Periods */ ),
SAWITH5 AS (select Case when case SAWITH4.c5 when 1 then SAWITH4.c4 else NULL end is not null then Rank() OVER ( ORDER BY case SAWITH4.c5 when 1 then SAWITH4.c4 else NULL end ASC NULLS LAST ) end as c1,
SAWITH4.c2 as c2,
SAWITH4.c3 as c3
from
SAWITH4),
SAWITH6 AS (select distinct min(SAWITH5.c1) over (partition by SAWITH5.c2) as c1,
SAWITH5.c2 as c2,
SAWITH5.c3 as c3
from
SAWITH5),
SAWITH7 AS (select D1.c1 as c1,
D1.c2 as c2,
D1.c3 as c3,
D1.c4 as c4,
D1.c5 as c5,
D1.c6 as c6
from
(select sum(case when T37838.POL_VERSION_FLAG = 'C' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 then nvl(T37838.AMOUNT , 0) when T37838.PERIOD_NAME <> 'March-13' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 and T37838.POL_VERSION_FLAG is null then nvl(T37838.AMOUNT , 0) else 0 end ) as c1,
SAWITH6.c3 as c2,
T41894.ICN_GROUP as c3,
SAWITH6.c2 as c4,
T41894.ICN_GROUP_CODE as c5,
T30728.PARENT_REGION as c6,
ROW_NUMBER() OVER (PARTITION BY T30728.PARENT_REGION, T41894.ICN_GROUP_CODE, SAWITH6.c2 ORDER BY T30728.PARENT_REGION ASC, T41894.ICN_GROUP_CODE ASC, SAWITH6.c2 ASC) as c7
from
SAWITH3 left outer join (
XXFI.XXFI_REVFCST_POL_REPORTING_V T37838 /* Fact_POL_Snapshot */ left outer join
XXFI.XXFI_GEO_REGION_ACCUM T30728 /* Dim_Regions */ On T30728.COUNTRY_CODE = T37838.SHIP_TO_COUNTRY_CODE2) left outer join
XXFI.XXFI_ICN_OWNERS_V T41894 /* Dim_ICN_Override */ On T37838.OVERRIDE_ICN = T41894.ICN_CODE) On SAWITH3.c2 = T37838.PERIOD_NAME,
SAWITH6
where ( SAWITH6.c1 = SAWITH3.c1 and SAWITH6.c3 = '2010-Q2' and (T37838.PROSPECT_NUMBER is null or T37838.PROSPECT_NUMBER not like '%Budget%') )
group by T30728.PARENT_REGION, T41894.ICN_GROUP_CODE, T41894.ICN_GROUP, SAWITH6.c2, SAWITH6.c3
) D1
where ( D1.c7 = 1 ) ),
SAWITH8 AS (select sum(case when T37838.POL_VERSION_FLAG = 'C' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 then nvl(T37838.AMOUNT , 0) when T37838.PERIOD_NAME <> 'March-13' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 and T37838.POL_VERSION_FLAG is null then nvl(T37838.AMOUNT , 0) else 0 end ) as c1,
sum(case when T37838.POL_VERSION_FLAG = 'C' and T37838.FORECAST_PROBABILITY_PERCENT >= 50 then nvl(T37838.AMOUNT , 0) when T37838.PERIOD_NAME <> 'March-13' and T37838.FORECAST_PROBABILITY_PERCENT >= 50 and T37838.POL_VERSION_FLAG is null then nvl(T37838.AMOUNT , 0) else 0 end ) as c2,
T30728.PARENT_REGION as c3,
T28761.QUARTER_YEAR_NAME as c6,
T41894.ICN_GROUP as c7,
T28761.QUARTER_RANK as c8,
T41894.ICN_GROUP_CODE as c9
from
XXFI.XXFI_REVFCST_POL_REPORTING_V T37838 /* Fact_POL_Snapshot */ left outer join
XXFI.XXFI_GL_FISCAL_MONTHS_V T28761 /* Dim_Periods */ On T28761.PERIOD_NAME = T37838.PERIOD_NAME) left outer join
XXFI.XXFI_GEO_REGION_ACCUM T30728 /* Dim_Regions */ On T30728.COUNTRY_CODE = T37838.SHIP_TO_COUNTRY_CODE2) left outer join
XXFI.XXFI_ICN_OWNERS_V T41894 /* Dim_ICN_Override */ On T37838.OVERRIDE_ICN = T41894.ICN_CODE
where ( T28761.QUARTER_YEAR_NAME = '2010-Q2' and (T37838.PROSPECT_NUMBER is null or T37838.PROSPECT_NUMBER not like '%Budget%') )
group by T28761.QUARTER_YEAR_NAME, T28761.QUARTER_RANK, T30728.PARENT_REGION, T41894.ICN_GROUP_CODE, T41894.ICN_GROUP),
SAWITH9 AS (select D1.c1 as c1,
D1.c2 as c2,
D1.c3 as c3,
D1.c4 as c4,
D1.c5 as c5,
D1.c6 as c6,
D1.c7 as c7,
D1.c8 as c8,
D1.c9 as c9
from
(select sum(SAWITH8.c1) over (partition by SAWITH8.c3) as c1,
sum(SAWITH8.c2) over (partition by SAWITH8.c3) as c2,
SAWITH8.c3 as c3,
sum(SAWITH8.c1) over (partition by SAWITH8.c8, SAWITH8.c9, SAWITH8.c3) as c4,
sum(SAWITH8.c2) over (partition by SAWITH8.c8, SAWITH8.c9, SAWITH8.c3) as c5,
SAWITH8.c6 as c6,
SAWITH8.c7 as c7,
SAWITH8.c8 as c8,
SAWITH8.c9 as c9,
ROW_NUMBER() OVER (PARTITION BY SAWITH8.c3, SAWITH8.c8, SAWITH8.c9 ORDER BY SAWITH8.c3 ASC, SAWITH8.c8 ASC, SAWITH8.c9 ASC) as c10
from
SAWITH8
) D1
where ( D1.c10 = 1 ) ),
SAWITH10 AS (select sum(T34877.AMOUNT) as c1,
T28761.QUARTER_YEAR_NAME as c3,
T30728.PARENT_REGION as c4,
T41894.ICN_GROUP as c5,
T28761.QUARTER_RANK as c6,
T41894.ICN_GROUP_CODE as c7
from
XXFI.XXFI_REVENUE_BUDGET_ACCUM T34877 /* Fact_Revenue_Budgets */ left outer join
XXFI.XXFI_GL_FISCAL_MONTHS_V T28761 /* Dim_Periods */ On T28761.PERIOD_NAME = T34877.PERIOD_NAME) left outer join
XXFI.XXFI_GEO_REGION_ACCUM T30728 /* Dim_Regions */ On T30728.COUNTRY_CODE = T34877.SHIP_TO_COUNTRY_CODE2) left outer join
XXFI.XXFI_ICN_OWNERS_V T41894 /* Dim_ICN_Override */ On T34877.OVERRIDE_ICN = T41894.ICN_CODE
where ( T28761.QUARTER_YEAR_NAME = '2010-Q2' )
group by T28761.QUARTER_YEAR_NAME, T28761.QUARTER_RANK, T30728.PARENT_REGION, T41894.ICN_GROUP_CODE, T41894.ICN_GROUP),
SAWITH11 AS (select D1.c1 as c1,
D1.c2 as c2,
D1.c3 as c3,
D1.c4 as c4,
D1.c5 as c5,
D1.c6 as c6,
D1.c7 as c7
from
(select sum(SAWITH10.c1) over (partition by SAWITH10.c4) as c1,
sum(SAWITH10.c1) over (partition by SAWITH10.c6, SAWITH10.c7, SAWITH10.c4) as c2,
SAWITH10.c3 as c3,
SAWITH10.c4 as c4,
SAWITH10.c5 as c5,
SAWITH10.c6 as c6,
SAWITH10.c7 as c7,
ROW_NUMBER() OVER (PARTITION BY SAWITH10.c4, SAWITH10.c6, SAWITH10.c7 ORDER BY SAWITH10.c4 ASC, SAWITH10.c6 ASC, SAWITH10.c7 ASC) as c8
from
SAWITH10
) D1
where ( D1.c8 = 1 ) ),
SAWITH12 AS (select T28761.PERIOD_NAME as c2,
T28761.PERIOD_START_DATE as c3,
T28761.QUARTER_RANK as c4,
ROW_NUMBER() OVER (PARTITION BY T28761.QUARTER_RANK ORDER BY T28761.QUARTER_RANK DESC) as c5
from
XXFI.XXFI_GL_FISCAL_MONTHS_V T28761 /* Dim_Periods */ ),
SAWITH13 AS (select Case when case SAWITH12.c5 when 1 then SAWITH12.c3 else NULL end is not null then Rank() OVER ( ORDER BY case SAWITH12.c5 when 1 then SAWITH12.c3 else NULL end ASC NULLS LAST ) end as c1,
SAWITH12.c2 as c2,
SAWITH12.c4 as c3
from
SAWITH12),
SAWITH14 AS (select min(SAWITH13.c1) over (partition by SAWITH13.c3) as c1,
SAWITH13.c2 as c2
from
SAWITH13),
SAWITH15 AS (select distinct SAWITH14.c1 + 1 as c1,
SAWITH14.c2 as c2
from
SAWITH14),
SAWITH16 AS (select T28761.QUARTER_YEAR_NAME as c2,
T28761.PERIOD_START_DATE as c3,
T28761.QUARTER_RANK as c4,
ROW_NUMBER() OVER (PARTITION BY T28761.QUARTER_RANK ORDER BY T28761.QUARTER_RANK DESC) as c5
from
XXFI.XXFI_GL_FISCAL_MONTHS_V T28761 /* Dim_Periods */ ),
SAWITH17 AS (select Case when case SAWITH16.c5 when 1 then SAWITH16.c3 else NULL end is not null then Rank() OVER ( ORDER BY case SAWITH16.c5 when 1 then SAWITH16.c3 else NULL end ASC NULLS LAST ) end as c1,
SAWITH16.c2 as c2,
SAWITH16.c4 as c3
from
SAWITH16),
SAWITH18 AS (select distinct min(SAWITH17.c1) over (partition by SAWITH17.c3) as c1,
SAWITH17.c2 as c2
from
SAWITH17),
SAWITH19 AS (select sum(case when T37838.POL_VERSION_FLAG = 'C' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 then nvl(T37838.AMOUNT , 0) when T37838.PERIOD_NAME <> 'March-13' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 and T37838.POL_VERSION_FLAG is null then nvl(T37838.AMOUNT , 0) else 0 end ) as c1,
T30728.PARENT_REGION as c2
from
SAWITH15 left outer join (
XXFI.XXFI_REVFCST_POL_REPORTING_V T37838 /* Fact_POL_Snapshot */ left outer join
XXFI.XXFI_GEO_REGION_ACCUM T30728 /* Dim_Regions */ On T30728.COUNTRY_CODE = T37838.SHIP_TO_COUNTRY_CODE2) On SAWITH15.c2 = T37838.PERIOD_NAME,
SAWITH18
where ( SAWITH18.c1 = SAWITH15.c1 and SAWITH18.c2 = '2010-Q2' and (T37838.PROSPECT_NUMBER is null or T37838.PROSPECT_NUMBER not like '%Budget%') )
group by T30728.PARENT_REGION),
SAWITH20 AS (select T28761.PERIOD_NAME as c2,
T28761.PERIOD_START_DATE as c3,
T28761.QUARTER_RANK as c4,
ROW_NUMBER() OVER (PARTITION BY T28761.QUARTER_RANK ORDER BY T28761.QUARTER_RANK DESC) as c5
from
XXFI.XXFI_GL_FISCAL_MONTHS_V T28761 /* Dim_Periods */ ),
SAWITH21 AS (select Case when case SAWITH20.c5 when 1 then SAWITH20.c3 else NULL end is not null then Rank() OVER ( ORDER BY case SAWITH20.c5 when 1 then SAWITH20.c3 else NULL end ASC NULLS LAST ) end as c1,
SAWITH20.c2 as c2,
SAWITH20.c4 as c3
from
SAWITH20),
SAWITH22 AS (select min(SAWITH21.c1) over (partition by SAWITH21.c3) as c1,
SAWITH21.c2 as c2
from
SAWITH21),
SAWITH23 AS (select distinct SAWITH22.c1 + 1 as c1,
SAWITH22.c2 as c2
from
SAWITH22),
SAWITH24 AS (select T28761.QUARTER_YEAR_NAME as c2,
T28761.PERIOD_START_DATE as c3,
T28761.QUARTER_RANK as c4,
ROW_NUMBER() OVER (PARTITION BY T28761.QUARTER_RANK ORDER BY T28761.QUARTER_RANK DESC) as c5
from
XXFI.XXFI_GL_FISCAL_MONTHS_V T28761 /* Dim_Periods */ ),
SAWITH25 AS (select Case when case SAWITH24.c5 when 1 then SAWITH24.c3 else NULL end is not null then Rank() OVER ( ORDER BY case SAWITH24.c5 when 1 then SAWITH24.c3 else NULL end ASC NULLS LAST ) end as c1,
SAWITH24.c2 as c2,
SAWITH24.c4 as c3
from
SAWITH24),
SAWITH26 AS (select distinct min(SAWITH25.c1) over (partition by SAWITH25.c3) as c1,
SAWITH25.c2 as c2
from
SAWITH25),
SAWITH27 AS (select sum(case when T37838.POL_VERSION_FLAG = 'C' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 then nvl(T37838.AMOUNT , 0) when T37838.PERIOD_NAME <> 'March-13' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 and T37838.POL_VERSION_FLAG is null then nvl(T37838.AMOUNT , 0) else 0 end ) as c1
from
SAWITH23 left outer join XXFI.XXFI_REVFCST_POL_REPORTING_V T37838 /* Fact_POL_Snapshot */ On SAWITH23.c2 = T37838.PERIOD_NAME,
SAWITH26
where ( SAWITH26.c1 = SAWITH23.c1 and SAWITH26.c2 = '2010-Q2' and (T37838.PROSPECT_NUMBER is null or T37838.PROSPECT_NUMBER not like '%Budget%') ) ),
SAWITH28 AS (select sum(case when T37838.POL_VERSION_FLAG = 'C' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 then nvl(T37838.AMOUNT , 0) when T37838.PERIOD_NAME <> 'March-13' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 and T37838.POL_VERSION_FLAG is null then nvl(T37838.AMOUNT , 0) else 0 end ) as c1,
sum(case when T37838.POL_VERSION_FLAG = 'C' and T37838.FORECAST_PROBABILITY_PERCENT >= 50 then nvl(T37838.AMOUNT , 0) when T37838.PERIOD_NAME <> 'March-13' and T37838.FORECAST_PROBABILITY_PERCENT >= 50 and T37838.POL_VERSION_FLAG is null then nvl(T37838.AMOUNT , 0) else 0 end ) as c2
from
XXFI.XXFI_REVFCST_POL_REPORTING_V T37838 /* Fact_POL_Snapshot */ left outer join
XXFI.XXFI_GL_FISCAL_MONTHS_V T28761 /* Dim_Periods */ On T28761.PERIOD_NAME = T37838.PERIOD_NAME
where ( T28761.QUARTER_YEAR_NAME = '2010-Q2' and (T37838.PROSPECT_NUMBER is null or T37838.PROSPECT_NUMBER not like '%Budget%') ) ),
SAWITH29 AS (select sum(T34877.AMOUNT) as c1
from
XXFI.XXFI_REVENUE_BUDGET_ACCUM T34877 /* Fact_Revenue_Budgets */ left outer join
XXFI.XXFI_GL_FISCAL_MONTHS_V T28761 /* Dim_Periods */ On T28761.PERIOD_NAME = T34877.PERIOD_NAME
where ( T28761.QUARTER_YEAR_NAME = '2010-Q2' ) )
select case when SAWITH7.c2 is not null then SAWITH7.c2 when SAWITH9.c6 is not null then SAWITH9.c6 when SAWITH11.c3 is not null then SAWITH11.c3 end as c1,
case when SAWITH9.c3 is not null then SAWITH9.c3 when SAWITH19.c2 is not null then SAWITH19.c2 when SAWITH7.c6 is not null then SAWITH7.c6 when SAWITH11.c4 is not null then SAWITH11.c4 end as c2,
case when SAWITH7.c3 is not null then SAWITH7.c3 when SAWITH9.c7 is not null then SAWITH9.c7 when SAWITH11.c5 is not null then SAWITH11.c5 end as c3,
SAWITH9.c5 / nullif( 1000, 0) as c4,
SAWITH7.c1 / nullif( 1000, 0) as c5,
SAWITH11.c2 / nullif( 1000, 0) as c6,
nvl(SAWITH9.c4 , 0) / nullif( nvl(SAWITH11.c2 , 0), 0) * 100 as c7,
case when SAWITH7.c4 is not null then SAWITH7.c4 when SAWITH9.c8 is not null then SAWITH9.c8 when SAWITH11.c6 is not null then SAWITH11.c6 end as c16,
case when SAWITH11.c7 is not null then SAWITH11.c7 when SAWITH9.c9 is not null then SAWITH9.c9 when SAWITH7.c5 is not null then SAWITH7.c5 end as c17,
SAWITH27.c1 as c19,
SAWITH28.c2 as c20,
SAWITH29.c1 as c21,
SAWITH28.c1 as c22,
SAWITH19.c1 as c23,
SAWITH9.c2 as c24,
SAWITH11.c1 as c25,
SAWITH9.c1 as c26
from
SAWITH7 full outer join SAWITH9 On SAWITH7.c5 = SAWITH9.c9 and nvl(SAWITH7.c4 , 88.0) = nvl(SAWITH9.c8 , 88.0) and nvl(SAWITH7.c4 , 99.0) = nvl(SAWITH9.c8 , 99.0) and nvl(SAWITH7.c6 , 'q') = nvl(SAWITH9.c3 , 'q') and nvl(SAWITH7.c6 , 'z') = nvl(SAWITH9.c3 , 'z')) full outer join SAWITH11 On SAWITH11.c7 = case when SAWITH7.c5 is not null then SAWITH7.c5 when SAWITH9.c9 is not null then SAWITH9.c9 end and nvl(SAWITH11.c4 , 'q') = nvl(case when SAWITH7.c6 is not null then SAWITH7.c6 when SAWITH9.c3 is not null then SAWITH9.c3 end , 'q') and nvl(SAWITH11.c4 , 'z') = nvl(case when SAWITH7.c6 is not null then SAWITH7.c6 when SAWITH9.c3 is not null then SAWITH9.c3 end , 'z') and nvl(SAWITH11.c6 , 88.0) = nvl(case when SAWITH7.c4 is not null then SAWITH7.c4 when SAWITH9.c8 is not null then SAWITH9.c8 end , 88.0) and nvl(SAWITH11.c6 , 99.0) = nvl(case when SAWITH7.c4 is not null then SAWITH7.c4 when SAWITH9.c8 is not null then SAWITH9.c8 end , 99.0)) full outer join SAWITH19 On nvl(SAWITH19.c2 , 'q') = nvl(case when SAWITH7.c6 is not null then SAWITH7.c6 when SAWITH9.c3 is not null then SAWITH9.c3 when SAWITH11.c4 is not null then SAWITH11.c4 end , 'q') and nvl(SAWITH19.c2 , 'z') = nvl(case when SAWITH7.c6 is not null then SAWITH7.c6 when SAWITH9.c3 is not null then SAWITH9.c3 when SAWITH11.c4 is not null then SAWITH11.c4 end , 'z'),
SAWITH27,
SAWITH28,
SAWITH29
order by c2
+++:cfa20000:cfa20015:----2013/08/14 10:31:12
-------------------- Query Status: Successful Completion
+++:cfa20000:cfa20015:----2013/08/14 10:31:12
-------------------- Rows 21, bytes 34272 retrieved from database query id: <<5087545>>
+++:cfa20000:cfa20015:----2013/08/14 10:31:12
-------------------- Physical query response time 27 (seconds), id <<5087545>>
+++:cfa20000:cfa20015:----2013/08/14 10:31:12
-------------------- Physical Query Summary Stats: Number of physical queries 1, Cumulative time 27, DB-connect time 0 (seconds)
+++:cfa20000:cfa20015:----2013/08/14 10:31:12
-------------------- Rows returned to Client 17
--------------------------------------------- 11g Query ----------------------------------------------------------
Sending query to database named EBS Rapid Data Store (id: <<2779207>>), connection pool named EBS XXFI Connection Pool, logical request hash 1334563, physical request hash 292e1532: [[
WITH
OBICOMMON0 AS (select T28761.PERIOD_NAME as c2,
T28761.PERIOD_START_DATE as c3,
T28761.QUARTER_RANK as c4,
ROW_NUMBER() OVER (PARTITION BY T28761.QUARTER_RANK ORDER BY T28761.QUARTER_RANK DESC) as c5,
T28761.QUARTER_YEAR_NAME as c6
from
XXFI.XXFI_GL_FISCAL_MONTHS_V T28761 /* Dim_Periods */ ),
SAWITH0 AS (select Case when case D1.c5 when 1 then D1.c3 else NULL end is not null then Rank() OVER ( ORDER BY case D1.c5 when 1 then D1.c3 else NULL end ASC NULLS LAST ) end as c1,
D1.c2 as c2,
D1.c4 as c3
from
OBICOMMON0 D1),
SAWITH1 AS (select min(D1.c1) over (partition by D1.c3) as c1,
D1.c2 as c2
from
SAWITH0 D1),
SAWITH2 AS (select distinct D1.c1 + 1 as c1,
D1.c2 as c2
from
SAWITH1 D1),
SAWITH3 AS (select Case when case D1.c5 when 1 then D1.c3 else NULL end is not null then Rank() OVER ( ORDER BY case D1.c5 when 1 then D1.c3 else NULL end ASC NULLS LAST ) end as c1,
D1.c6 as c2,
D1.c4 as c3
from
OBICOMMON0 D1),
SAWITH4 AS (select distinct min(D1.c1) over (partition by D1.c3) as c1,
D1.c2 as c2,
D1.c3 as c3
from
SAWITH3 D1),
SAWITH5 AS (select sum(case when T37838.POL_VERSION_FLAG = 'C' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 then nvl(T37838.AMOUNT , 0) when T37838.PERIOD_NAME <> 'March-13' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 and T37838.POL_VERSION_FLAG is null then nvl(T37838.AMOUNT , 0) else 0 end ) as c1,
D4.c2 as c2,
T41894.ICN_GROUP as c3,
T30728.PARENT_REGION as c4,
D4.c3 as c5,
T41894.ICN_GROUP_CODE as c6
from
SAWITH2 D6 left outer join (
XXFI.XXFI_REVFCST_POL_REPORTING_V T37838 /* Fact_POL_Snapshot */ left outer join
XXFI.XXFI_GEO_REGION_ACCUM T30728 /* Dim_Regions */ On T30728.COUNTRY_CODE = T37838.SHIP_TO_COUNTRY_CODE2) left outer join
XXFI.XXFI_ICN_OWNERS_V T41894 /* Dim_ICN_Override */ On T37838.OVERRIDE_ICN = T41894.ICN_CODE) On D6.c2 = T37838.PERIOD_NAME,
SAWITH4 D4
where ( D4.c1 = D6.c1 and D4.c2 = '2010-Q2' and (T37838.PROSPECT_NUMBER is null or T37838.PROSPECT_NUMBER not like '%Budget%') )
group by T30728.PARENT_REGION, T41894.ICN_GROUP_CODE, T41894.ICN_GROUP, D4.c2, D4.c3),
SAWITH6 AS (select sum(case when T37838.POL_VERSION_FLAG = 'C' and T37838.FORECAST_PROBABILITY_PERCENT >= 50 then nvl(T37838.AMOUNT , 0) when T37838.PERIOD_NAME <> 'March-13' and T37838.FORECAST_PROBABILITY_PERCENT >= 50 and T37838.POL_VERSION_FLAG is null then nvl(T37838.AMOUNT , 0) else 0 end ) as c1,
sum(case when T37838.POL_VERSION_FLAG = 'C' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 then nvl(T37838.AMOUNT , 0) when T37838.PERIOD_NAME <> 'March-13' and T37838.FORECAST_PROBABILITY_PERCENT >= 75 and T37838.POL_VERSION_FLAG is null then nvl(T37838.AMOUNT , 0) else 0 end ) as c2,
T28761.QUARTER_YEAR_NAME as c3,
T41894.ICN_GROUP as c4,
T30728.PARENT_REGION as c5,
T28761.QUARTER_RANK as c6,
T41894.ICN_GROUP_CODE as c7
from
XXFI.XXFI_REVFCST_POL_REPORTING_V T37838 /* Fact_POL_Snapshot */ left outer join
XXFI.XXFI_GL_FISCAL_MONTHS_V T28761 /* Dim_Periods */ On T28761.PERIOD_NAME = T37838.PERIOD_NAME) left outer join
XXFI.XXFI_GEO_REGION_ACCUM T30728 /* Dim_Regions */ On T30728.COUNTRY_CODE = T37838.SHIP_TO_COUNTRY_CODE2) left outer join
XXFI.XXFI_ICN_OWNERS_V T41894 /* Dim_ICN_Override */ On T37838.OVERRIDE_ICN = T41894.ICN_CODE
where ( T28761.QUARTER_YEAR_NAME = '2010-Q2' and (T37838.PROSPECT_NUMBER is null or T37838.PROSPECT_NUMBER not like '%Budget%') )
group by T28761.QUARTER_YEAR_NAME, T28761.QUARTER_RANK, T30728.PARENT_REGION, T41894.ICN_GROUP_CODE, T41894.ICN_GROUP),
SAWITH7 AS (select sum(T34877.AMOUNT) as c1,
T28761.QUARTER_YEAR_NAME as c2,
T41894.ICN_GROUP as c3,
T30728.PARENT_REGION as c4,
T28761.QUARTER_RANK as c5,
T41894.ICN_GROUP_CODE as c6
from
XXFI.XXFI_REVENUE_BUDGET_ACCUM T34877 /* Fact_Revenue_Budgets */ left outer join
XXFI.XXFI_GL_FISCAL_MONTHS_V T28761 /* Dim_Periods */ On T28761.PERIOD_NAME = T34877.PERIOD_NAME) left outer join
XXFI.XXFI_GEO_REGION_ACCUM T30728 /* Dim_Regions */ On T30728.COUNTRY_CODE = T34877.SHIP_TO_COUNTRY_CODE2) left outer join
XXFI.XXFI_ICN_OWNERS_V T41894 /* Dim_ICN_Override */ On T34877.OVERRIDE_ICN = T41894.ICN_CODE
where ( T28761.QUARTER_YEAR_NAME = '2010-Q2' )
group by T28761.QUARTER_YEAR_NAME, T28761.QUARTER_RANK, T30728.PARENT_REGION, T41894.ICN_GROUP_CODE, T41894.ICN_GROUP),
SAWITH8 AS (select D1.c1 as c1,
D1.c2 as c2,
D1.c3 as c3,
D1.c4 as c4,
D1.c5 as c5,
D1.c6 as c6,
D1.c7 as c7,
D1.c8 as c8,
D1.c9 as c9,
D1.c18 as c18,
D1.c19 as c19,
D1.c20 as c20,
D1.c21 as c21,
D1.c22 as c22
from
(select 0 as c1,
case when D1.c2 is not null then D1.c2 when D2.c3 is not null then D2.c3 when D3.c2 is not null then D3.c2 end as c2,
case when D1.c3 is not null then D1.c3 when D2.c4 is not null then D2.c4 when D3.c3 is not null then D3.c3 end as c3,
case when D1.c4 is not null then D1.c4 when D2.c5 is not null then D2.c5 when D3.c4 is not null then D3.c4 end as c4,
case when D1.c5 is not null then D1.c5 when D2.c6 is not null then D2.c6 when D3.c5 is not null then D3.c5 end as c5,
nvl(D2.c2 , 0) / nullif( nvl(D3.c1 , 0), 0) * 100 as c6,
D3.c1 / 1000 as c7,
D1.c1 / 1000 as c8,
D2.c1 / 1000 as c9,
case when D1.c6 is not null then D1.c6 when D2.c7 is not null then D2.c7 when D3.c6 is not null then D3.c6 end as c18,
D2.c2 as c19,
D3.c1 as c20,
D1.c1 as c21,
D2.c1 as c22,
ROW_NUMBER() OVER (PARTITION BY case when D1.c2 is not null then D1.c2 when D2.c3 is not null then D2.c3 when D3.c2 is not null then D3.c2 end , case when D1.c3 is not null then D1.c3 when D2.c4 is not null then D2.c4 when D3.c3 is not null then D3.c3 end , case when D1.c4 is not null then D1.c4 when D2.c5 is not null then D2.c5 when D3.c4 is not null then D3.c4 end , case when D1.c5 is not null then D1.c5 when D2.c6 is not null then D2.c6 when D3.c5 is not null then D3.c5 end , case when D1.c6 is not null then D1.c6 when D2.c7 is not null then D2.c7 when D3.c6 is not null then D3.c6 end ORDER BY case when D1.c2 is not null then D1.c2 when D2.c3 is not null then D2.c3 when D3.c2 is not null then D3.c2 end ASC, case when D1.c3 is not null then D1.c3 when D2.c4 is not null then D2.c4 when D3.c3 is not null then D3.c3 end ASC, case when D1.c4 is not null then D1.c4 when D2.c5 is not null then D2.c5 when D3.c4 is not null then D3.c4 end ASC, case when D1.c5 is not null then D1.c5 when D2.c6 is not null then D2.c6 when D3.c5 is not null then D3.c5 end ASC, case when D1.c6 is not null then D1.c6 when D2.c7 is not null then D2.c7 when D3.c6 is not null then D3.c6 end ASC) as c23
from
SAWITH5 D1 full outer join SAWITH6 D2 On D1.c6 = D2.c7 and SYS_OP_MAP_NONNULL(D1.c4) = SYS_OP_MAP_NONNULL(D2.c5) and SYS_OP_MAP_NONNULL(D1.c5) = SYS_OP_MAP_NONNULL(D2.c6) ) full outer join SAWITH7 D3 On D3.c6 = case when D1.c6 is not null then D1.c6 when D2.c7 is not null then D2.c7 end and SYS_OP_MAP_NONNULL(D3.c4) = SYS_OP_MAP_NONNULL(case when D1.c4 is not null then D1.c4 when D2.c5 is not null then D2.c5 end ) and SYS_OP_MAP_NONNULL(D3.c5) = SYS_OP_MAP_NONNULL(case when D1.c5 is not null then D1.c5 when D2.c6 is not null then D2.c6 end )
) D1
where ( D1.c23 = 1 ) )
select D1.c1 as c1,
D1.c2 as c2,
D1.c3 as c3,
D1.c4 as c4,
D1.c5 as c5,
D1.c6 as c6,
D1.c7 as c7,
D1.c8 as c8,
D1.c9 as c9,
D1.c18 as c19,
D1.c19 as c21,
D1.c20 as c22,
D1.c21 as c23,
D1.c22 as c24
from
SAWITH8 D1
order by c4, c2, c5, c19, c3
[2013-08-14T10:38:15.000-05:00] [OracleBIServerComponent] [TRACE:2] [USER-34] [] [ecid: 54a0696aeaefab88:-d74da91:1406506ef2a:-8000-00000000000151e6,0:1:9:6:1] [tid: a093e700] [requestid: cc480014] [sessionid: cc480000] [username: ] -------------------- Query Status: Successful Completion [[
[2013-08-14T10:38:15.000-05:00] [OracleBIServerComponent] [TRACE:2] [USER-26] [] [ecid: 54a0696aeaefab88:-d74da91:1406506ef2a:-8000-00000000000151e6,0:1:9:6:1] [tid: a093e700] [requestid: cc480014] [sessionid: cc480000] [username: ] -------------------- Rows 17, bytes 27200 retrieved from database query id: <<2779207>>check the report for the columns which has incorrect values for any calculation, null handling.
also check whether there is a difference in logical SQL between 10g and 11g.
also check whether they are pointing to same db.
check for null handling or default value not being set in 11g.
try rebuilding the same report, to check the metrics individually verify they match with 10g. -
11g: Multicolumn pivot - help with query
Hi everyone,
My first attempt at posting here was not very successful. I have now read the rules, and done more homework.
I'm fairly new to Oracle databases, but have some experience with MySQL and Postgres from earlier.
First of all, here is an example table of what I have today. This is only an extract of the full table, but these fields are the interesting ones.
CREATE TABLE trans
("FROM_LIC" int, "FROM_LOCATION" varchar2(18), "TO_LOCATION" varchar2(18), "CREATE_DT" timestamp)
INSERT ALL
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100002563, '215', 'INN_MONO_05', '04-Mar-2013 11:54:21 AM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100002563, 'INN_MONO_05', 'INN_MONO_06_BANE_R', '04-Mar-2013 11:55:08 AM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100002563, 'INN_MONO_06_BANE_R', 'TROLLEY_19', '04-Mar-2013 12:01:06 PM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100002563, 'TROLLEY_19', 'UT_OPPLAST_5_2', '04-Mar-2013 12:01:56 PM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100002563, 'UT_OPPLAST_5_2', 'STG010801', '04-Mar-2013 12:01:56 PM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100003259, '231', 'INN_MONO_04', '04-Mar-2013 02:18:31 PM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100003259, 'INN_MONO_04', 'INN_MONO_04_BANE_L', '04-Mar-2013 02:19:28 PM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100003259, 'INN_MONO_04_BANE_L', 'TROLLEY_5', '04-Mar-2013 02:22:41 PM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100003259, 'TROLLEY_5', 'UT_OPPLAST_3_1', '04-Mar-2013 02:23:35 PM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100003262, '243', 'INN_MONO_06', '04-Mar-2013 01:37:49 PM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100003262, 'INN_MONO_06', 'INN_MONO_06_BANE_R', '04-Mar-2013 01:39:09 PM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100003262, 'INN_MONO_06_BANE_R', 'TROLLEY_10', '04-Mar-2013 01:43:48 PM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100003262, 'TROLLEY_10', 'UT_OPPLAST_5_2', '04-Mar-2013 01:44:58 PM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100003262, 'UT_OPPLAST_5_2', 'STG010904', '04-Mar-2013 01:46:30 PM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100003263, '231', 'INN_MONO_04', '04-Mar-2013 02:18:31 PM')
INTO trans ("FROM_LIC", "FROM_LOCATION", "TO_LOCATION", "CREATE_DT")
VALUES (4100003263, 'INN_MONO_04', 'INN_MONO_04_BANE_R', '04-Mar-2013 02:19:20 PM')
SELECT * FROM dual
;As of now, I have a query that returns a data grid from the table, looking exactly like the example table I've included.
Here is a copy of the query that gives the example table as a result from the table in our database:
select * from (
select distinct from_lic, from_location, to_location, create_dt from trans where to_location like 'INN_MONO___' and create_dt > sysdate-(3/24)
union
select distinct from_lic, from_location, to_location, create_dt from trans where from_location like 'INN_MONO___' and to_location like 'INN_MONO%BANE%' and create_dt > sysdate-(3/24)
union
select distinct from_lic, from_location, to_location, create_dt from trans where from_location like 'INN_MONO%BANE%' and to_location like 'TROLLEY%' and create_dt > sysdate-(3/24)
union
select distinct from_lic, from_location, to_location, create_dt from trans where from_location like 'TROLLEY%' and to_location like 'UT_OPPLAST____' and create_dt > sysdate-(3/24)
union
select distinct from_lic, from_location, to_location, create_dt from trans where from_location like 'UT_OPPLAST____%' and (to_location like 'STG%' or to_location like 'UT_OPPLAST%GULV') and create_dt > sysdate-(3/24)
) order by from_lic, create_dtI would be delighted if you could help me formulating a new query that gives THIS output, from the same table, with the same constraints as in the original query:
CREATE TABLE new_table
("FROM_LIC" int, "FLOOR" timestamp, "INFEED" timestamp, "TROLLEY" timestamp, "OUTFEED" timestamp, "STAGING" varchar2(16))
INSERT ALL
INTO new_table ("FROM_LIC", "FLOOR", "INFEED", "TROLLEY", "OUTFEED", "STAGING")
VALUES (4100002563, '04-Mar-2013 11:54:00 AM', '04-Mar-2013 11:55:00 AM', '04-Mar-2013 12:01:00 PM', '04-Mar-2013 12:01:00 PM', '03.04.2013 12:01')
INTO new_table ("FROM_LIC", "FLOOR", "INFEED", "TROLLEY", "OUTFEED", "STAGING")
VALUES (4100003259, '04-Mar-2013 02:18:00 PM', '04-Mar-2013 02:19:00 PM', '04-Mar-2013 02:22:00 PM', '04-Mar-2013 02:23:00 PM', NULL)
INTO new_table ("FROM_LIC", "FLOOR", "INFEED", "TROLLEY", "OUTFEED", "STAGING")
VALUES (4100003262, '04-Mar-2013 01:37:00 PM', '04-Mar-2013 01:39:00 PM', '04-Mar-2013 01:43:00 PM', '04-Mar-2013 01:44:00 PM', '03.04.2013 13:46')
SELECT * FROM dual
;What happened here is that for each instance of from_lic, the line yielded from
select distinct from_lic, from_location, to_location, create_dt from trans where to_location like 'INN_MONO___' and create_dt > sysdate-(3/24)The value for CREATE_DT ---> in the new column called FLOOR.
And the following for the rest of the columns:
select distinct from_lic, from_location, to_location, create_dt from trans where from_location like 'INN_MONO___' and to_location like 'INN_MONO%BANE%' and create_dt > sysdate-(3/24)The value for CREATE_DT ---> INFEED.
select distinct from_lic, from_location, to_location, create_dt from trans where from_location like 'INN_MONO%BANE%' and to_location like 'TROLLEY%' and create_dt > sysdate-(3/24)The value for CREATE_DT ---> TROLLEY.
select distinct from_lic, from_location, to_location, create_dt from trans where from_location like 'TROLLEY%' and to_location like 'UT_OPPLAST____' and create_dt > sysdate-(3/24)The value for CREATE_DT ---> OUTFEED.
select distinct from_lic, from_location, to_location, create_dt from trans where from_location like 'UT_OPPLAST____%' and (to_location like 'STG%' or to_location like 'UT_OPPLAST%GULV') and create_dt > sysdate-(3/24)The value for CREATE_DT ---> STAGING.
Originally I was thinking of a pivot for this, but there is possibly better ways to accomplish this.
I would like to have the data in the described format to make data mining easier.
The query will run on a table with >3M lines.
I hope this way of formulating the question is better, and more comprehensible.
Please do not hesitate to ask questions, and I'll do my best to answer.
I can test any suggested queries in the production database when necessary.
Edited by: 997749 on Apr 3, 2013 5:18 AM
Edited by: 997749 on Apr 3, 2013 6:20 AMHi,
what about something like this:
with trans as
SELECT 4100002563 from_lic, 'INN_MONO_05' to_location, TO_DATE('03.04.2013 11:54:21', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL UNION ALL
SELECT 4100002563 from_lic, 'INN_MONO_06_BANE_R' to_location, TO_DATE('03.04.2013 11:55:08', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL UNION ALL
SELECT 4100002563 from_lic, 'TROLLEY_19' to_location, TO_DATE('03.04.2013 12:01:06', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL UNION ALL
SELECT 4100002563 from_lic, 'STG010801' to_location, TO_DATE('03.04.2013 12:01:56', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL UNION ALL
SELECT 4100002563 from_lic, 'UT_OPPLAST_5_2' to_location, TO_DATE('03.04.2013 12:01:56', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL UNION ALL
SELECT 4100005037 from_lic, 'INN_MONO_05' to_location, TO_DATE('03.04.2013 11:18:31', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL UNION ALL
SELECT 4100005037 from_lic, 'INN_MONO_04_BANE_R' to_location, TO_DATE('03.04.2013 11:21:54', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL UNION ALL
SELECT 4100005037 from_lic, 'TROLLEY_16' to_location, TO_DATE('03.04.2013 11:25:43', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL UNION ALL
SELECT 4100005037 from_lic, 'UT_OPPLAST_3_4' to_location, TO_DATE('03.04.2013 11:26:37', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL UNION ALL
SELECT 4100005037 from_lic, 'STG010703' to_location, TO_DATE('03.04.2013 11:27:31', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL UNION ALL
SELECT 4100006658 from_lic, 'INN_MONO_08' to_location, TO_DATE('03.04.2013 11:00:31', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL UNION ALL
SELECT 4100006658 from_lic, 'INN_MONO_08_BANE_L' to_location, TO_DATE('03.04.2013 11:02:35', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL UNION ALL
SELECT 4100006658 from_lic, 'TROLLEY_22' to_location, TO_DATE('03.04.2013 11:07:54', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL UNION ALL
SELECT 4100006658 from_lic, 'UT_OPPLAST_7_3' to_location, TO_DATE('03.04.2013 11:09:03', 'DD.MM.YYYY HH24:MI:SS') create_dt FROM DUAL
, got_category AS
SELECT from_lic
, CASE
WHEN to_location like 'INN_MONO%BANE%'
THEN 'INFEED'
WHEN to_location like 'INN_MONO%'
THEN 'FLOOR'
WHEN to_location like 'TROLLEY%'
THEN 'TROLLEY'
WHEN to_location like 'STG' OR to_location like 'UT%GULV'
THEN 'STAGED'
WHEN to_location like 'UT_OPPLAST%'
THEN 'OUTFEED'
ELSE 'UNKNOWN'
END as cat
, create_dt
FROM trans
WHERE create_dt > (sysdate -10/24) -- adjusted for different timezone
SELECT * --FROM_LIC, lic_a, lic_b, lic_c, lic_d, lic_e
FROM got_category
PIVOT(MAX(create_dt) FOR cat IN('FLOOR' as floor,
'INFEED' as infeed,
'TROLLEY' as trolley,
'OUTFEED' as ooutfeed,
'STAGED' as staged));
FROM_LIC FLOOR INFEED TROLLEY OOUTFEED STAGED
4100002563 03-APR-2013 11:54:21 03-APR-2013 11:55:08 03-APR-2013 12:01:06 03-APR-2013 12:01:56
4100005037 03-APR-2013 11:18:31 03-APR-2013 11:21:54 03-APR-2013 11:25:43 03-APR-2013 11:26:37
4100006658 03-APR-2013 11:00:31 03-APR-2013 11:02:35 03-APR-2013 11:07:54 03-APR-2013 11:09:03 If not useful, please post your input data (CREATE TABLE and INSERT statements) and your expected output.
Regards.
Al
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