Left Outer Join Not working in BI 7.0 Infoset
Hi All,
I am working on BI 7.0. I have to create a report where I have to display the Target values from a target DSO against the transactional data (Operational data).
I have a DSO where for a subteam value target has been set up on different KPIs.
In the Info Cube, I have transactional data on daily basis per subteam. I have to show the actual and target values.
I have created an Info Set using Target DSO and Daily operational cube, so that I should able to compare the target and actual values of KPIs, for all the subteam values (From DSO, irrespective of whether the data is available in cube for those sub team).
I have used Outer Left Join in the Info set (DSO on left side), but I am unable to see the desired results. It is working just like an inner join.
Any Idea why the Outer Left Join is not working? The DSO has only one fey field called subteam on which I have set outer left join.
Regards,
Amit
Hi,
did you solve your problem? because I have the same issue right now: the left outer join doesn't seem to do its job.
Let me know if you have found a solution, it would be appreciated.
have a nice day,
Dominic
Similar Messages
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Left Outer Join not working in Infoset.
Hello Friends,
I have two ODSes , one for planned data (zplan) and other is billing z ods (zsd_o03).
now the situation is such that in my planned ODS for one sold to party .
SOLD TO MATERRIAL CALMONT PLANNED QUANTIY
14315 100 06.2007 54
14315 200 06.2007 20
14315 300 06.2007 30
14315 400 06.2007 10
But in my Billing ODS iam having for Sold to 14315
SOLD TO MATERRIAL CALMONT ACTUAL QUANTIY
14315 100 06.2007 20
14315 200 06.2007 30
And my Bex ouput should be like
SOLD TO MATERIAL CALMONT planned ACTUAL QUANTIY
14315 100 06.2007 54 20
14315 200 06.2007 20 30
14315 300 06.2007 30 0
14315 400 06.2007 10 0
So for this i made one Infoset and these ODses are linked by Sold_to , Materail,
Calmonth.
First i tried using Inner joing option , but the bottom two lines were not ciming , so used left outer join , and activated and recreated the query but still its showiong me the output same as inner join .. i.e
14315 100 06.2007 54 20
14315 200 06.2007 20 30
So i checked by writing a ABAP code in Se38 , but there its showing me the correct result ..
So please anybody help me out because iam thinking that infoset is the right way to do this kind of reporting , or esle shall i make one ODS and populate it through this ABAP code..
Thanks in advance.Hi , can anybody help me in this regard..
Thanks .. -
LEFT OUTER JOIN not working as expected
I'm testing a query from the portal. I've got two inputs:
products
{"ProductKey":1,"ProductAlternateKey":"abc","Color":"Red"},
{"ProductKey":2,"ProductAlternateKey":"def","Color":"Blue"},
{"ProductKey":3,"ProductAlternateKey":"ghi","Color":"Blue"}
And temperatures:
{"DeviceId":1,"Temperature":99},
{"DeviceId":2,"Temperature":90},
{"DeviceId":2,"Temperature":99},
{"DeviceId":3,"Temperature":50},
{"DeviceId":4,"Temperature":32}
When I test a query with an (inner) join, I get two rows, one for Red and one for Blue as expected. However, when I change to a LEFT OUTER JOIN, I would expect to get three rows... one for Red, one for Blue, and one for NULL color. However, I only get one
row with a NULL color. Here's the query. Is this a bug or am I misunderstanding?
SELECT DateAdd(second,-5,System.TimeStamp) as WinStartTime
, system.TimeStamp as WinEndTime
, b.Color
, Avg(r.Temperature) as AvgTemperature
, Count(*) as EventCount
FROM temperatures r
LEFT OUTER JOIN products b ON r.DeviceId = b.ProductKey and DATEDIFF(hour,r,b) BETWEEN -6 AND 6
GROUP BY TumblingWindow(second, 5), b.Color
(Please excuse the contrived example, the lack of timestamps, and the 12 hour window... just testing.)
http://artisconsulting.com/Blogs/GregGallowayHi Greg,
Thank you for raising this issue.
We have deployed a fix today that corrects LEFT OUTER JOIN behavior on the in-browser query testing experience.
Can you please confirm that the above query and input sources work for you?
Thanks!
Ziv. -
Dynamic From statement in select query and/or outer join not working
Dear Experts, I have a select query where the select columns are dynamic, the where condition is also dynamic. It is of the below format:
Select (dynamic columns) INTO <wa>
FROM a inner join b on af1 = bf1
inner join c on af2 = cf2......
WHERE (dynamic conditios)
ORDER BY ( dynamic sort condition).
Now I have to include some tables (dynamically depending on the user input) in the inner join statement which will give description for the selected fields. And these database tables may or may no be empty. So in this case, my select query will not return any data if these tables are empty. And I dont want that.
I tried using outer join for the extra tables but it gave me a runtime error. I also tried forming the inner join statement dynamically but it was not supporting.
Kindly give me pointers.
ThanksHey thanks for the reply, but the problem is not solved.
I am already using ( fileds, value) like table in my where condition and the select statement was working properly.
the problem is that now I have to include some tables in the join statement which can be empty and so i want to use Outer join.
But I am getting a runtime error as below:
Error analysis
An exception occurred that is explained in detail below.
The exception, which is assigned to class 'CX_SY_DYNAMIC_OSQL_SYNTAX', was not
caught in
procedure "ZATSCSNG_RFC_READ_TABLE" "(FUNCTION)", nor was it propagated by a
RAISING clause.
Since the caller of the procedure could not have anticipated that the
exception would occur, the current program is terminated.
The reason for the exception is:
The running ABAP program wanted to execute a SELECT statement whose
WHERE condition was (partly) specified dynamically. The part that is
specified in an internal table at runtime is compared to a field of the
right table of an LEFT OUTER JOIN. Such comparisons are not supported by
all database systems and are therefore not allowed. -
Outer join not working when filters are applied from Prompts
Hi,
Without values being selected from the dashboard prompts, my outer join is working fine with all the rows and all the columns showing up( as per requirement). But as soon as I select values in the prompts, only certain rows and columns show up.
BTW, I have 2 prompts Year and Quarter. I put Year is Prompted or is null in the criteria. It works. BUT as soon as I also put in quarter numbers, it does not work.
Is there a workaround for this?
Thanks,
Dan
Edited by: Danny on Apr 26, 2013 12:10 PMI just experimented by adding is null to not only the year and quarter but to the row and column too and it worked!
Thanks,
Dan -
Merging two complemental result sets... or OUTER JOINs not working?
Dear experts!
Again I have a very difficult problem for which I ask Your help, but this time I am better prepared than last time and can deliver sample data of my (hopefully not too much) simplified example:
create table Subjects(
pk_id number not null primary key,
title varchar2(128)
create table People(
pk_id number not null primary key,
name varchar2(128)
create table Results(
pk_id number not null primary key,
fk_subjects_id number,
fk_people_id number,
result number
insert into Subjects(pk_id, title) values (1, 'Choosing a recipe')
insert into Subjects(pk_id, title) values (2, 'Shopping ingredients')
insert into Subjects(pk_id, title) values (3, 'Preparations')
insert into Subjects(pk_id, title) values (4, 'Cooking for beginners')
insert into Subjects(pk_id, title) values (5, 'Eating for pros')
insert into Subjects(pk_id, title) values (6, 'Dishwashing for everyone')
insert into Subjects(pk_id, title) values (7, 'Digesting for experts')
insert into Subjects(pk_id, title) values (8, 'Becoming hungry again...')
insert into Subjects(pk_id, title) values (9, 'Redo from start')
insert into People(pk_id, name) values (1, 'Hank')
insert into People(pk_id, name) values (2, 'Cloe')
insert into People(pk_id, name) values (3, 'Mary')
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (1, 1, 1, 2)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (2, 2, 1, 4)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (3, 3, 1, 3)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (4, 9, 1, 5)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (5, 1, 2, 4)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (6, 2, 2, 1)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (7, 3, 2, 5)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (8, 4, 2, 2)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (9, 5, 2, 3)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (10, 6, 2, 2)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (11, 7, 2, 1)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (12, 4, 3, 3)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (13, 5, 3, 5)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (14, 7, 3, 1)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (15, 8, 3, 5)
insert into Results(pk_id, fk_subjects_id, fk_people_id, result) values (16, 9, 3, 1)
Please imagine this as an university for amateur cooks. Now I want to present them their performance record/"scorecard", for every student, only with her or his marks. On this performance record there should be a list of all 9 subjects possible to pass, and where students got a result, that result should be filled in. I thought that should be possible to achieve with something like this:
SELECT PEOPLE.NAME, SUBJECTS.TITLE, RESULTS.RESULT FROM RESULTS
JOIN PEOPLE ON PEOPLE.PK_ID = RESULTS.FK_PEOPLE_ID
JOIN SUBJECTS ON SUBJECTS.PK_ID = RESULTS.FK_SUBJECTS_ID
WHERE RESULTS.FK_PEOPLE_ID = 2
But also using (LEFT|RIGHT|FULL) OUTER JOINs here does not help me to get what I want, I always only get
NAME TITLE RESULT
Cloe Choosing a recipe 4
Cloe Shopping ingredients 1
Cloe Preparations 5
Cloe Cooking for beginners 2
Cloe Eating for pros 3
Cloe Dishwashing for everyone 2
Cloe Digesting for experts 1
But I want:
NAME TITLE RESULT
Cloe Choosing a recipe 4
Cloe Shopping ingredients 1
Cloe Preparations 5
Cloe Cooking for beginners 2
Cloe Eating for pros 3
Cloe Dishwashing for everyone 2
Cloe Digesting for experts 1
Cloe Becoming hungry again...
Cloe Redo from start
Without having to fill in empty rows for all students which did not take all exams yet.
Is it possible? If so, how?
Thank You very much in advance and Happy Easter to everyone! :-)
With kind regards,
Chriss
Edited by: user9355711 on 01.04.2010 07:01
Edited by: user9355711 on 01.04.2010 07:28
Edited by: user9355711 on 01.04.2010 07:29Also;
var n number
exec :n := 2;
PL/SQL procedure successfully completed
n
2
select ppl.name, sub.title, res.result
from subjects sub, people ppl, results res
where sub.pk_id = res.fk_subjects_id(+)
and ppl.pk_id = :n
and res.fk_people_id(+) = :n
order by sub.title;
NAME TITLE RESULT
Cloe Becoming hungry again...
Cloe Choosing a recipe 4
Cloe Cooking for beginners 2
Cloe Digesting for experts 1
Cloe Dishwashing for everyone 2
Cloe Eating for pros 3
Cloe Preparations 5
Cloe Redo from start
Cloe Shopping ingredients 1 -
Hello everybody,
I have a folder based on materialized view (Detailed folder). There is another folder which is based on a table (master folder). i have created a jooin and select option as "outer join on master folder". The join is not working properly. Am i doing asomething wrong. Discoverer version is 10.1.2 and database version is 10.2.0.3. i have been creating outer joins among folders based on tables but i am not sure about whats wrong this time??? materalized view defination is as follows:
CREATE MATERIALIZED VIEW MW
BUILD IMMEDIATE
REFRESH FORCE
START WITH SYSDATE
NEXT TRUNC(SYSDATE+1)+1/4
WITH PRIMARY KEY
AS
SELECT * FROM VIEW
Thanx for your help
Regards,
NajeebSo, let me see if I got this...
You have a table and a materialized view. There is a join between the two, where the table is the master, and the MV is the detail. The join is set to be an outer join on master. Ultimately, you want to see the values in the MV where the join condition is NULL.
What boggles me is that you say the query runs fine in the database, but not in Disco. This could mean that there is a condition in the BA or in the worksheet. But, if that were the case, the condition should show up in the SQL generated by Disco.
It looks like the where clause is the problem. NULL is never equal to anything, so when APPROVEDBY is null, the where clause should fail and no data returned. This explains Disco's behavior, but not SQL's.
Something to try: Create a calculation in the materialized view folder of the business area like:
NVL(APPROVEDBY, -1)
I am assuming that all of your IDs are positive. Then modify the join to use the calculated column. This should convert the NULLS to values, and the report should work. -
OJ syntax for multi-table left outer join with MS Oracle Driver
I have a multi-table left outer join that works fine in SQL Server ODBC Driver, Oracle ODBC driver 8.01.07.00, but not with Microsoft ODBC Driver for Oracle 2.573.7326.0
SELECT * from { oj A LEFT OUTER JOIN B ON A.col1 = B.col1 LEFT OUTER JOIN C ON A.col1 = C.col1 }
I noticed someone had a similar problem (the proposed solution doesn't work):
http://www.justpbinfo.com/listarchive/msg02874.html
Does anyone know how to get this working with the Microsoft ODBC Driver for Oracle? Or does it just not work?The Microsoft ODBC Driver for Oracle 2.573.7326.0 does perform the same 'fix up' with {oj} in Oracle 8i. The problem is that it doesn't work when joining more than two tables:
This works:
SELECT * from { oj A LEFT OUTER JOIN B ON A.col1 = B.col1}
This doesn't work:
SELECT * from { oj A LEFT OUTER JOIN B ON A.col1 = B.col1 LEFT OUTER JOIN C ON B.col1 = C.col1 }
(The second query will work with the Oracle Oracle ODBC driver, with a bit of tweaking. But I haven't found a way to get it to work with the Microsoft ODBC Driver for Oracle 2.573.7326.0. My suspicion is that it just doesn't work.)
Gavin -
Left outer join on Fact and dimension table.
Hi all, I have a fact F with account number and few measures as columns.
I also have a dimension D with account number, account name columns.
Few account numbers from Fact doesnt exist in Dimension D , but they need to show up in the report though.
How do I left join Fact and Dimension D in RPD?
I have this report where I need to show Account Number, Account name, measures.
If D doesnt have certain account numbers, I need to convert that account number from F as string and show it in the report in account name column.
Can you pls help.Ok. I tried this:
Driving table : Fact, Left outer join -- didnt work.
Driving table: Dimension D left outer join -- didnt work either
In either the case, I see physical query as D left outer Join on Fact F. and omitting the rows.
And then I tried this -
Driving table: Fact, RIght outer join.
Now, this is giving me error:
Sybase][ODBC Driver]Internal Error. [nQSError: 16001] ODBC error state: 00000 code: 30128 message: [Sybase][ODBC Driver]Data overflow. Increase specified column size or buffer size. [nQSError: 16011] ODBC error occurred while executing SQLExtendedFetch to retrieve the results of a SQL statement. (HY000)
I checked all columns, everything matched with database table type and size.
I am pulling Fact.account number, Dimension.account name, Fact.Measures. I am seeing this error each time I pull Fact.Account number. -
Left Outer Join & IS NULL Not Working
In a Data Flow Query element I am using a Left Outer Join to correlate two tables. In order to eliminate rows in which the Left Outer Join found a match with the Right table I am using IS NULL in the Where clause. Unfortunately IS NULL doesn't seem to return true when the NULL is caused by a lack of a match on a Left Outer Join. Has anybody been able to work around this?
Use not is NULL in next query after the join.
A source 1 ---
C (join query) ----- D (filter condition IS NULL)
B source 2 --- -
Not using Index when SDO_RELATE in Spatial Query is used in LEFT OUTER JOIN
I want to know for every City (Point geometry) in which Municipality (Polygon geometry) it is.
Some cities will not be covered by any municipality (as there is no data for it), so its municipality name should be blank in the result
We have 4942 cities (point geometries)
and 500 municipalities (polygon geometry)
SELECT T1.NAME as City, T2.NAME as Municipality
FROM CITY T1
LEFT OUTER JOIN MUNICIPALITY T2 ON SDO_RELATE(T1.GEOM, T2.GEOM, 'MASK=ANYINTERACT') = 'TRUE'The explain plan for this query is:
SELECT STATEMENT
FILTER
Filter Predicates
MDSYS.SDO_RTREE_RELATE(T1.GEOM, T2.GEOM, 'mask=ANYINTERACT querytype=window ') = 'TRUE'
MERGE JOIN
TABLE ACCESS CITY FULL 11
BUFFER SORT 100605
TABLE ACCESS MUNICIPALITY FULL 20So the cost is in the BUFFER (whatever that is), it takes +2000 seconds to run this, it is not using the spatial index.
And we are not getting all rows, but only the ones interacting with a municipality, e.g. 2436 rows.
But I want all rows, including the ones not interacting with any Municipality.
When we want only those cities that actually are in a municipality, I use a different query and it will use the index.
SELECT T1.NAME as City, T2.NAME as Municipality
FROM CITY T1, MUNICIPALITY T2
WHERE SDO_RELATE(T1.GEOM, T2.GEOM, 'MASK=ANYINTERACT') = 'TRUE'I get (only) 2436 rows (as expected) in 5 seconds (it is fast) and the explain plan shows it is using the spatial index.
But in this case, I am not getting any cities not inside any municipality (of course)
SELECT STATEMENT
NESTED LOOPS
TABLE ACCESS MUNICIPALITY FULL 22
TABLE ACCESS CITY BY INDEX ROWID 22
DOMAIN INDEX CITY_SDX 0
Access Predicates
MDSYS.SDO_RTREE_RELATE(T1.GEOM, T2.GEOM, 'mask=ANYINTERACT querytype=window ') = 'TRUE'I always thought a LEFT OUTER JOIN would return all rows from the Table, whatever happens in the next,
but it seems the query has been rewritten so that it is now using a Filter Predicate in the end, which filters those geometries having no interaction.
As an example I also do thing alphanumerically, I do get 4942 rows, including the ones which have no Municipality name.
In this case the names must match, so its only for testing if the LEFT OUTER JOIN returns stuff correctly, which it does in this case.
SELECT T1.NAME as City, T2.NAME as Municipality
FROM CITY T1
LEFT OUTER JOIN MUNICIPALITY T2 ON T1.NAME = T2.NAMEIs this an Oracle Spatial bug, e.g. not return 4942 rows, but only 2436 rows on the first query?
Note all tests performed on Oracle 11g R2 (11.2.0.1.0)Patrick,
Even so, your geoms in the relate were the wrong way around.
Also, I don't recall you saying (or showing) that you wanted the municipality geometry returned. Still,
no matter, easy to do.
Here are some additional suggestions. I don't have your data so I have had to use some of my own.
set serveroutput on timing on autotrace on
SELECT T1.SPECIES as City,
(SELECT T2.ADMIN_NAME FROM AUSTRALIAN_STATES T2 WHERE SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE') as Municipality,
(SELECT T2.GEOM FROM AUSTRALIAN_STATES T2 WHERE SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE') as geom
FROM GUTDATA T1;
762 rows selected
Elapsed: 00:00:21.656
Plan hash value: 2160035213
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 762 | 49530 | 5 (0)| 00:00:01 |
| 1 | TABLE ACCESS BY INDEX ROWID| AUSTRALIAN_STATES | 1 | 115 | 0 (0)| 00:00:01 |
|* 2 | DOMAIN INDEX | AUSTRALIAN_STATES_GEOM_SPX | | | 0 (0)| 00:00:01 |
| 3 | TABLE ACCESS BY INDEX ROWID| AUSTRALIAN_STATES | 1 | 115 | 0 (0)| 00:00:01 |
|* 4 | DOMAIN INDEX | AUSTRALIAN_STATES_GEOM_SPX | | | 0 (0)| 00:00:01 |
| 5 | TABLE ACCESS FULL | GUTDATA | 762 | 49530 | 5 (0)| 00:00:01 |
Predicate Information (identified by operation id):
2 - access("MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"(:B1,10000,0.5,'UNIT=M'))='TRUE')
4 - access("MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"(:B1,10000,0.5,'UNIT=M'))='TRUE')
Statistics
7 user calls
24576 physical read total bytes
0 physical write total bytes
0 spare statistic 3
0 commit cleanout failures: cannot pin
0 TBS Extension: bytes extended
0 total number of times SMON posted
0 SMON posted for undo segment recovery
0 SMON posted for dropping temp segment
0 segment prealloc tasksThe above can look messy as you add more (SELECT ...) attributes, but is is fast (though can't use in Materialized Views).
/* The set of all cities not in municipalities */
SELECT T1.SPECIES as City,
cast(null as varchar2(42)) as municipality,
cast(null as sdo_geometry) as geom
FROM GUTDATA T1
WHERE NOT EXISTS (SELECT 1
FROM AUSTRALIAN_STATES T2
WHERE SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE')
UNION ALL
/* The set of all cities in municipalities */
SELECT T1.SPECIES as City,
T2.ADMIN_NAME as Municipality,
T2.GEOM as geom
FROM GUTDATA T1
INNER JOIN
AUSTRALIAN_STATES T2 ON (SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE');
762 rows selected
Elapsed: 00:00:59.953
Plan hash value: 2854682795
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 99 | 13450 | 38 (87)| 00:00:01 |
| 1 | UNION-ALL | | | | | |
|* 2 | FILTER | | | | | |
| 3 | TABLE ACCESS FULL| GUTDATA | 762 | 49530 | 5 (0)| 00:00:01 |
|* 4 | DOMAIN INDEX | AUSTRALIAN_STATES_GEOM_SPX | | | 0 (0)| 00:00:01 |
| 5 | NESTED LOOPS | | 61 | 10980 | 33 (0)| 00:00:01 |
| 6 | TABLE ACCESS FULL| AUSTRALIAN_STATES | 8 | 920 | 3 (0)| 00:00:01 |
|* 7 | TABLE ACCESS FULL| GUTDATA | 8 | 520 | 4 (0)| 00:00:01 |
Predicate Information (identified by operation id):
2 - filter( NOT EXISTS (SELECT 0 FROM "AUSTRALIAN_STATES" "T2" WHERE "MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"(:B1,10000,0.5,'UNIT=M'))='TRUE'))
4 - access("MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"(:B1,10000,0.5,'UNIT=M'))='TRUE')
7 - filter("MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"("T1"."GEOM",10000,0.5,'UNIT=M'))='TRUE')
Statistics
7 user calls
131072 physical read total bytes
0 physical write total bytes
0 spare statistic 3
0 commit cleanout failures: cannot pin
0 TBS Extension: bytes extended
0 total number of times SMON posted
0 SMON posted for undo segment recovery
0 SMON posted for dropping temp segment
0 segment prealloc tasksMuch slower but Materialized View friendly.
This one is a bit more "natural" but still slower than the first.
set serveroutput on timing on autotrace on
/* The set of all cities in municipalities */
WITH municipal_cities As (
SELECT T1.ID as City,
T2.ADMIN_NAME as Municipality,
T2.GEOM as geom
FROM GUTDATA T1
INNER JOIN
AUSTRALIAN_STATES T2 ON (SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE')
SELECT T1.ID as City,
T2.Municipality as Municipality,
T2.GEOM as geom
FROM GUTDATA T1
LEFT OUTER JOIN
municipal_cities T2
ON (T2.CITY = T1.ID);
762 rows selected
Elapsed: 00:00:50.228
Plan hash value: 745978991
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 762 | 44196 | 36 (3)| 00:00:01 |
|* 1 | HASH JOIN RIGHT OUTER| | 762 | 44196 | 36 (3)| 00:00:01 |
| 2 | VIEW | | 61 | 3294 | 33 (0)| 00:00:01 |
| 3 | NESTED LOOPS | | 61 | 10980 | 33 (0)| 00:00:01 |
| 4 | TABLE ACCESS FULL | AUSTRALIAN_STATES | 8 | 920 | 3 (0)| 00:00:01 |
|* 5 | TABLE ACCESS FULL | GUTDATA | 8 | 520 | 4 (0)| 00:00:01 |
| 6 | INDEX FAST FULL SCAN| GUTDATA_ID_PK | 762 | 3048 | 2 (0)| 00:00:01 |
Predicate Information (identified by operation id):
1 - access("T2"."CITY"(+)="T1"."ID")
5 - filter("MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"("T1"."GEOM",10000,0.5,'UNIT=M'))='TRUE')
Statistics
7 user calls
49152 physical read total bytes
0 physical write total bytes
0 spare statistic 3
0 commit cleanout failures: cannot pin
0 TBS Extension: bytes extended
0 total number of times SMON posted
0 SMON posted for undo segment recovery
0 SMON posted for dropping temp segment
0 segment prealloc tasksFinally, the Pièce de résistance: trick the LEFT OUTER JOIN operator...
set serveroutput on timing on autotrace on
SELECT T1.SPECIES as City,
T2.ADMIN_NAME as Municipality,
T2.GEOM as geom
FROM GUTDATA T1
LEFT OUTER JOIN
AUSTRALIAN_STATES T2
ON (t2.admin_name = to_char(t1.ID) OR
SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE');
762 rows selected
Elapsed: 00:00:50.273
Plan hash value: 158854308
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 762 | 92964 | 2294 (1)| 00:00:28 |
| 1 | NESTED LOOPS OUTER | | 762 | 92964 | 2294 (1)| 00:00:28 |
| 2 | TABLE ACCESS FULL | GUTDATA | 762 | 49530 | 5 (0)| 00:00:01 |
| 3 | VIEW | | 1 | 57 | 3 (0)| 00:00:01 |
|* 4 | TABLE ACCESS FULL| AUSTRALIAN_STATES | 1 | 115 | 3 (0)| 00:00:01 |
Predicate Information (identified by operation id):
4 - filter("T2"."ADMIN_NAME"=TO_CHAR("T1"."ID") OR
"MDSYS"."SDO_ANYINTERACT"("T2"."GEOM","SDO_GEOM"."SDO_BUFFER"("T1"."GEOM",10000,0.5,'UNIT=M'))='TRUE')
Statistics
7 user calls
0 physical read total bytes
0 physical write total bytes
0 spare statistic 3
0 commit cleanout failures: cannot pin
0 TBS Extension: bytes extended
0 total number of times SMON posted
0 SMON posted for undo segment recovery
0 SMON posted for dropping temp segment
0 segment prealloc tasksTry these combinations to see what works for you.
Interestingly, for me, the following returns absolutely nothing.
SELECT T1.SPECIES as City,
T2.ADMIN_NAME as Municipality
FROM GUTDATA T1
LEFT OUTER JOIN
AUSTRALIAN_STATES T2
ON (SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE')
MINUS
SELECT T1.SPECIES as City,
T2.ADMIN_NAME as Municipality
FROM GUTDATA T1
LEFT OUTER JOIN
AUSTRALIAN_STATES T2
ON (t2.admin_name = to_char(t1.ID) OR
SDO_ANYINTERACT(T2.GEOM, SDO_GEOM.SDO_BUFFER(T1.GEOM,10000,0.5,'UNIT=M')) = 'TRUE');(I leave it to you to see if you can see why as the LEFT OUTER JOIN seems to be working correctly for me but I am not going to dedicate time to detailed checking of results.)
Note all tests performed on Oracle 11g R2 (11.2.0.1.0)
If you get the answer you want: mark the post as answered to assign points.
regards
Simon -
Difference between merge-Not matched and left outer join
Why should Merge-Not Matched be used instead of left outer join? I believe both will enable comparison of 2 tables. So what is the difference. Please advice.
mayooran99MERGE is way to encapsulate all conditions within single statement
The equivalent implementation using join would require three different statements
1 UPDATE using INNER JOIN
1 INSERT using LEFT JOIN
and 1 DELETE using LEFT JOIN in reverse order
Both approaches work fine
so all that you need to do is left join operation to find difference you can use either
But MERGE has one additional advantage in case you need to get output from MERGE and use it for further manipulation like further insert to child table
I've explained it here
http://visakhm.blogspot.in/2014/09/t-sql-tips-multifaceted-merge-statement.html
Please Mark This As Answer if it solved your issue
Please Vote This As Helpful if it helps to solve your issue
Visakh
My Wiki User Page
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Why Left Outer Join Doesn't Work?
Hello
I have a query that I want to return all group id's in the grp_id table and count and give me a count of all members that are "active" in the member table. There are some members that are not active in the member table that belong to groups in the grp_id table. I still want a record returned for those grpid's, though since there are no active members for those groups, I would want a zero as the mbr_count. An active mbr is one whose eff_dt is less than today's date and whose exp_dt is greater than todays date.
I have listed the query below, which returns active mbr records, but unfortuntely, does not return the one grpid (as in my sample data) that does not have an active member (grpid: 'D'). I have also provided the DDL for the two tables along with some sample data that gives me the (Incorrect) results I have posted. I have also posted what results I need (the 'Correct' results).
Thanks for any assistance.. (I am using PL/SQL)
QUERY I AM USING:
=============
SELECT
g00.grpid,
count(m00.grpid) mbr_count
FROM
grp_id g00
LEFT OUTER JOIN
mbr m00 on
g00.grpid = m00.grpid
WHERE
m00.eff_dt < sysdate
AND
m00.exp_dt > sysdate
GROUP BY
g00.grpid
it gives me results as:
INCORRECT RESULTS:
===============
GRPID MBR_COUNT
A 2
B 2
C 1
What I want to see is:
CORRECT RESULTS
===============
GRPID MBR_COUNT
A 2
B 2
C 1
D 0
Here is the DDL's and Sample Data:
create table grp_id (grpid varchar(1))
insert into grp_id values ('A')
insert into grp_id values ('B')
insert into grp_id values ('C')
insert into grp_id values ('D')
commit
create table mbr (mbr_name varchar(10), grpid varchar(1), eff_dt date, exp_dt date)
insert into mbr values ('MARK', 'A', to_date('01-01-2011', 'MM-DD-YYYY'), to_date('07-01-2011', 'MM-DD-YYYY'))
insert into mbr values ('MARK', 'A', to_date('07-01-2011', 'MM-DD-YYYY'), to_date('01-01-2012', 'MM-DD-YYYY'))
insert into mbr values ('MARTY', 'A', to_date('01-01-2011', 'MM-DD-YYYY'), to_date('07-01-2011', 'MM-DD-YYYY'))
insert into mbr values ('MARTY', 'A', to_date('07-01-2011', 'MM-DD-YYYY'), to_date('01-01-2012', 'MM-DD-YYYY'))
insert into mbr values ('FRANK', 'B', to_date('01-01-2011', 'MM-DD-YYYY'), to_date('07-01-2011', 'MM-DD-YYYY'))
insert into mbr values ('FRANK', 'B', to_date('07-01-2011', 'MM-DD-YYYY'), to_date('01-01-2012', 'MM-DD-YYYY'))
insert into mbr values ('MARY', 'B', to_date('01-01-2011', 'MM-DD-YYYY'), to_date('07-01-2011', 'MM-DD-YYYY'))
insert into mbr values ('MARY', 'B', to_date('07-01-2011', 'MM-DD-YYYY'), to_date('01-01-2012', 'MM-DD-YYYY'))
insert into mbr values ('JEAN', 'C', to_date('01-01-2011', 'MM-DD-YYYY'), to_date('07-01-2011', 'MM-DD-YYYY'))
insert into mbr values ('JEAN', 'C', to_date('07-01-2011', 'MM-DD-YYYY'), to_date('01-01-2012', 'MM-DD-YYYY'))
insert into mbr values ('NOAM', 'D', to_date('01-01-2011', 'MM-DD-YYYY'), to_date('07-01-2011', 'MM-DD-YYYY'))Thanks for the script, shame about the missing semi-colons :)
Your restrictions on date are implemented as "filter predicates" rather than "join predicates".
i.e. the difference between a WHERE instead of extra ANDs in the JOIN clause.
SQL> SELECT
2 g00.grpid,
3 count(m00.grpid) mbr_count
4 FROM
5 grp_id g00
6 LEFT OUTER JOIN
7 mbr m00 on
8 g00.grpid = m00.grpid
9 WHERE
10 m00.eff_dt < sysdate
11 AND
12 m00.exp_dt > sysdate
13 GROUP BY
14 g00.grpid
15 /
G MBR_COUNT
A 4
B 4
C 2
SQL> SELECT
2 g00.grpid,
3 count(m00.grpid) mbr_count
4 FROM
5 grp_id g00
6 LEFT OUTER JOIN
7 mbr m00 on
8 g00.grpid = m00.grpid
9 AND
10 m00.eff_dt < sysdate
11 AND
12 m00.exp_dt > sysdate
13 GROUP BY
14 g00.grpid;
G MBR_COUNT
D 0
A 4
B 4
C 2
SQL> -
Left Outer Join with more than two tables in both CR 8.5 and XIR2
I am trying to create a report and I have tried two versions of Crystal but I ultimately need the report in CR8.5 for compatibility with the client's system. I think I am starting to figure out what might be wrong and it might be my understanding of SQL, but I can't see why someone hasn't needed this in the past. Ultimately I want to see all projects and any journal entry that might be posted for that project.
Database is MySQL 5.0.38 and using MySQL ODBC driver 3.51.19.
Project header table information will be populated. Each line item on a journal entry can be tagged with the project ID. But for me to pull the journal entry date I need also to link to a third table for the journal entry header info.
I want to see all projects, whether a journal entry has been posted or not.
So the links are like this
ProjectHeader --->Left Outer Join ---> JELines ---> Inner Join ---> JEHeader
I think in this scenerio Crystal is treating the LOJ as an IJ.
I created two brand new reports today, one in CR8.5 and one in CR XIR2. Once I edited the automatic CR8.5 SQL statement (which I have been doing for years, usually without problem), they both ran properly. I linked customers to their invoices. Customers without invoices showed properly. But then I linked the invoices to the payments of the invoices and immediately lost customers without orders in both reports.
So apparently only two tables are allowed in Outer Joins. Does this make sense? I checked out the w3schools tutorial on SQL and it doesn't mention this limitation and I can't find anywhere else that it specifically indicates this but all samples of code I have seen only show two tables. I just thought for presentation as a sample that was easiest to understand and we could expand as necessary.
If this is correct, how does one go about accounting for this kind of thing? One solution that goes through my mind is creating a view at the database level for the link between journal entry lines and journal entry headers. Would this be a good solution under normal circumstances?
A second option that I had to implement because of timelines, is to use a subreport linked to the main report through the project ID to pull the information for the journal entries and just pass the totals I need to the main report through a shared variable.
These aren't normal circumstances because I don't have access to the database so I can't create the view. I have come across this concept several times and I have been able to use subreports to solve it but I am trying to find a better solution for the future as sometimes subreports can be slow. So are there any alternatives I have not considered here?
TIA rasincSo after some more work and another post. I was able to get this to work.
Items disappear when linking to another table
My issues were two fold. I was selecting on the tables on the right-side of the original Inner Join. However, I was checking for Nulls. This apparently is correct but you must check for the Nulls first eg. (IsNull (JEHeader.Field1) OR JEHeader.Field1 <= 100). I had my original statement reversed checking for <= 100 before checking for Nulls.
I also did not set all links to be Left Outer Join. I had the Inner Join. I actually have about 6 tables in this report so all the links need to be set Outer Join. So this now seems to be corrected.
Thanks -
Left outer join issue, please help
Hi All,
My oracle DB : 10G
I have 3 tables:
1) w_orders_fs
2) w_product_d
3) w_order_f
(Below are the scripts for creating these 3 tables along with data)
I have a sql which :
select o_fs.invoice_number
, o_fs.product_id o_fs_product_id
, p_d.product_id p_d_product_id
, p_d.row_wid_skey p_d_row_wid_skey
, o_f.product_wid_skey
from w_orders_fs o_fs
, w_product_d p_d
, w_orders_f o_f
where o_fs.invoice_number = 10
and o_fs.product_id = p_d.product_id(+)
and p_d.current_flg = 'Y'
and p_d.row_wid_skey = o_f.product_wid_skey(+)
and o_f.invoice_number = 10
which is giving me an output :
INVOICE_NUMBER|O_FS_PRODUCT_ID|P_D_PRODUCT_ID|P_D_ROW_WID_SKEY|PRODUCT_WID_SKEY
10|2|2|4|4
Desired output:
INVOICE_NUMBER|O_FS_PRODUCT_ID|P_D_PRODUCT_ID|P_D_ROW_WID_SKEY|PRODUCT_WID_SKEY
10|2|2|4|4
10|1|1|3|NULL
Now the overall objective is to pull the 2nd record of my desired output, my above query is not giving me this 2nd record since in my w_orders_f table product_wid_skey is not populated(one of the 2 records where invoice number = 10), I am just confused how to achieve this left outer join.
Please help.
Regards
Rahul
CREATE/INSERT SCRIPTS:
CREATE TABLE W_ORDERS_FS
INVOICE_NUMBER NUMBER(3),
INVOICE_DT DATE,
CREATED_BY NUMBER(6),
CREATED_ON_DT DATE,
CHANGED_BY NUMBER(6),
CHANGED_ON_DT DATE,
LAST_UPDATE_DT DATE,
CUSTOMER_ID NUMBER(6),
PRODUCT_ID NUMBER(2),
PRICE_PER_UNIT NUMBER(5),
STORE_ID NUMBER(4),
OTY_ORDERED NUMBER(5),
TOT_PRICE_BY_PRODUCT NUMBER,
ETL_PROC_WID VARCHAR2(100 BYTE),
DATASOURCE_NUM_ID INTEGER
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(10, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 160, 1, 8, 1000, 10, 80, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(10, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 160, 2, 25, 1000, 10, 250, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(11, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 20, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 161, 6, 9, 1100, 10, 90, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(12, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 21, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 164, 5, 10, 1500, 10, 100, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(13, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 163, 5, 10, 2000, 10, 100, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(14, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 23, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 164, 1, 8, 1400, 20, 160, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(15, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 162, 2, 25, 2200, 5, 125, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(15, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 162, 6, 9, 2200, 5, 45, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(15, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 162, 5, 10, 2200, 5, 50, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(15, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 162, 1, 8, 2200, 5, 40, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(16, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 165, 3, 10, 2200, 15, 150, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(16, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 165, 1, 8, 2200, 25, 200, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(16, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 165, 4, 1, 2200, 55, 55, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(16, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 162, 5, 10, 2200, 55, 550, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(17, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 160, 1, 8, 1000, 10, 80, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(17, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 160, 7, 10, 1000, 10, 100, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(18, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 161, 1, 8, 1400, 10, 80, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(18, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 161, 7, 10, 1400, 10, 100, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(19, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 162, 3, 10, 1100, 10, 100, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(19, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 162, 4, 1, 1100, 10, 10, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(20, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 20, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 165, 5, 10, 3200, 10, 100, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(20, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 20, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 165, 6, 9, 3200, 10, 90, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 164, 8, 5, 3200, 10, 50, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 164, 2, 25, 3200, 10, 250, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 164, 9, 1, 3200, 10, 10, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 164, 10, 5, 3200, 5, 25, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(24, TO_DATE('06/18/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('06/18/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/18/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 164, 1, 8, 3200, 10, 80, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(24, TO_DATE('06/18/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('06/18/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/18/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 164, 10, 5, 3200, 5, 25, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(23, TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 162, 3, 10, 1100, 10, 100, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(23, TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 162, 4, 1, 1100, 10, 10, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(22, TO_DATE('06/16/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 23, TO_DATE('06/16/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/16/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 164, 1, 8, 3200, 10, 80, '22858060', 1);
Insert into W_ORDERS_FS
(INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, CUSTOMER_ID, PRODUCT_ID, PRICE_PER_UNIT, STORE_ID, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(22, TO_DATE('06/16/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 23, TO_DATE('06/16/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/16/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 164, 2, 25, 3200, 10, 250, '22858060', 1);
COMMIT;
CREATE TABLE W_PRODUCT_D
ROW_WID NUMBER(10),
ROW_WID_SKEY NUMBER(10,5),
PRODUCT_ID NUMBER(2) NOT NULL,
PRODUCT_NAME VARCHAR2(50 BYTE),
OTY_IN_STOCK NUMBER(5),
CREATED_BY NUMBER(2),
CREATED_ON_DT DATE,
CHANGED_BY NUMBER(2),
CHANGED_ON_DT DATE,
LAST_UPDATE_DT DATE,
W_INSERT_DT DATE,
W_UPDATE_DT DATE,
CURRENT_FLG VARCHAR2(1 BYTE),
ORIGINAL_QUANTITY NUMBER(10),
ETL_PROC_WID VARCHAR2(100 BYTE),
DATASOURCE_NUM_ID NUMBER
Insert into W_PRODUCT_D
(ROW_WID, ROW_WID_SKEY, PRODUCT_ID, PRODUCT_NAME, OTY_IN_STOCK, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, W_INSERT_DT, CURRENT_FLG, ORIGINAL_QUANTITY, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(1, 1, 7, '7up', 180, 20, TO_DATE('06/04/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 13:29:24', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/19/2013 11:09:35', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 200, '22858060', 1);
Insert into W_PRODUCT_D
(ROW_WID, ROW_WID_SKEY, PRODUCT_ID, PRODUCT_NAME, OTY_IN_STOCK, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, W_INSERT_DT, CURRENT_FLG, ORIGINAL_QUANTITY, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(2, 2, 8, 'Nestle munch', 990, 23, TO_DATE('06/05/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 13:29:24', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/19/2013 11:09:35', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 1000, '22858060', 1);
Insert into W_PRODUCT_D
(ROW_WID, ROW_WID_SKEY, PRODUCT_ID, PRODUCT_NAME, OTY_IN_STOCK, CREATED_BY, CREATED_ON_DT, CHANGED_BY, CHANGED_ON_DT, LAST_UPDATE_DT, W_INSERT_DT, CURRENT_FLG, ORIGINAL_QUANTITY, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(3, 3, 1, 'Coca cola mini', 0, 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 21, TO_DATE('06/18/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/18/2013 13:29:24', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/19/2013 11:09:35', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 100, '22858060', 1);
Insert into W_PRODUCT_D
(ROW_WID, ROW_WID_SKEY, PRODUCT_ID, PRODUCT_NAME, OTY_IN_STOCK, CREATED_BY, CREATED_ON_DT, CHANGED_BY, CHANGED_ON_DT, LAST_UPDATE_DT, W_INSERT_DT, CURRENT_FLG, ORIGINAL_QUANTITY, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(4, 4, 2, 'coca cola peg bottle', 465, 20, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 21, TO_DATE('06/16/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/16/2013 13:29:24', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/19/2013 11:09:35', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 500, '22858060', 1);
Insert into W_PRODUCT_D
(ROW_WID, ROW_WID_SKEY, PRODUCT_ID, PRODUCT_NAME, OTY_IN_STOCK, CREATED_BY, CREATED_ON_DT, CHANGED_BY, CHANGED_ON_DT, LAST_UPDATE_DT, W_INSERT_DT, CURRENT_FLG, ORIGINAL_QUANTITY, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(5, 5, 3, 'ruffle lays', 965, 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 21, TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/17/2013 13:29:24', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/19/2013 11:09:35', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 1000, '22858060', 1);
Insert into W_PRODUCT_D
(ROW_WID, ROW_WID_SKEY, PRODUCT_ID, PRODUCT_NAME, OTY_IN_STOCK, CREATED_BY, CREATED_ON_DT, CHANGED_BY, CHANGED_ON_DT, LAST_UPDATE_DT, W_INSERT_DT, CURRENT_FLG, ORIGINAL_QUANTITY, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(6, 6, 4, 'center fresh', 9925, 23, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/17/2013 13:29:24', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/19/2013 11:09:35', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 10000, '22858060', 1);
Insert into W_PRODUCT_D
(ROW_WID, ROW_WID_SKEY, PRODUCT_ID, PRODUCT_NAME, OTY_IN_STOCK, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, W_INSERT_DT, CURRENT_FLG, ORIGINAL_QUANTITY, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(7, 7, 5, 'Mirinda', 10, 20, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 13:29:24', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/19/2013 11:09:35', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 100, '22858060', 1);
Insert into W_PRODUCT_D
(ROW_WID, ROW_WID_SKEY, PRODUCT_ID, PRODUCT_NAME, OTY_IN_STOCK, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, W_INSERT_DT, CURRENT_FLG, ORIGINAL_QUANTITY, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(8, 8, 6, 'pepsi', 25, 20, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 13:29:24', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/19/2013 11:09:35', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 50, '22858060', 1);
Insert into W_PRODUCT_D
(ROW_WID, ROW_WID_SKEY, PRODUCT_ID, PRODUCT_NAME, OTY_IN_STOCK, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, W_INSERT_DT, CURRENT_FLG, ORIGINAL_QUANTITY, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(9, 9, 9, 'Mentos mint', 990, 20, TO_DATE('06/13/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 13:29:24', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/19/2013 11:09:35', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 1000, '22858060', 1);
Insert into W_PRODUCT_D
(ROW_WID, ROW_WID_SKEY, PRODUCT_ID, PRODUCT_NAME, OTY_IN_STOCK, CREATED_BY, CREATED_ON_DT, CHANGED_BY, CHANGED_ON_DT, LAST_UPDATE_DT, W_INSERT_DT, CURRENT_FLG, ORIGINAL_QUANTITY, ETL_PROC_WID, DATASOURCE_NUM_ID)
Values
(10, 10, 10, 'Marie gold biscuit', 0, 20, TO_DATE('06/13/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 23, TO_DATE('06/18/2013 13:29:24', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/18/2013 13:29:24', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/19/2013 11:09:35', 'MM/DD/YYYY HH24:MI:SS'), 'Y', 10, '22858060', 1);
COMMIT;
CREATE TABLE W_ORDERS_F
ROW_WID NUMBER,
INVOICE_NUMBER NUMBER(3),
INVOICE_DT DATE,
CREATED_BY NUMBER(6),
CREATED_ON_DT DATE,
CHANGED_BY NUMBER(6),
CHANGED_ON_DT DATE,
LAST_UPDATE_DT DATE,
PRODUCT_WID_SKEY NUMBER(15),
PRICE_PER_UNIT NUMBER(5),
OTY_ORDERED NUMBER(5),
TOT_PRICE_BY_PRODUCT NUMBER,
W_INSERT_DT DATE,
TIME_WID VARCHAR2(29 BYTE),
DAY_NUM_OF_WEEK NUMBER,
MONTH_END_DT DATE,
QUARTER_NUM_OF_YEAR NUMBER,
YEAR_END_DT DATE,
ETL_PROC_WID VARCHAR2(100 BYTE),
DATASOURCE_NUM_ID INTEGER,
INTEGRATION_ID VARCHAR2(100 BYTE)
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(1, 10, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), -8, 8, 10, 80, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '10~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(2, 10, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 4, 25, 10, 250, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '10~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(3, 11, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 20, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 8, 9, 10, 90, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '11~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(4, 12, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 21, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 7, 10, 10, 100, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '12~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(5, 13, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 7, 10, 10, 100, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '13~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(6, 14, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 23, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), -8, 8, 20, 160, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '14~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(7, 15, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 4, 25, 5, 125, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '15~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(8, 15, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 8, 9, 5, 45, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '15~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(9, 15, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 7, 10, 5, 50, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '15~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(10, 15, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), -8, 8, 5, 40, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '15~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(11, 16, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 5, 10, 15, 150, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '16~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(12, 16, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), -8, 8, 25, 200, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '16~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(13, 16, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 6, 1, 55, 55, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '16~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(14, 16, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('05/28/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 7, 10, 55, 550, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '05282013', 3, TO_DATE('05/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '16~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(15, 17, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), -8, 8, 10, 80, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06142013', 6, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '17~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(16, 17, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 1, 10, 10, 100, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06142013', 6, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '17~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(17, 18, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), -8, 8, 10, 80, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06142013', 6, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '18~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(18, 18, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 1, 10, 10, 100, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06142013', 6, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '18~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(19, 19, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 5, 10, 10, 100, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06142013', 6, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '19~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(20, 19, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 19, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 6, 1, 10, 10, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06142013', 6, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '19~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(21, 20, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 20, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 7, 10, 10, 100, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06142013', 6, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '20~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(22, 20, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 20, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 8, 9, 10, 90, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06142013', 6, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '20~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(23, 21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, 5, 10, 50, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06142013', 6, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '21~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(24, 21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 4, 25, 10, 250, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06142013', 6, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '21~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(25, 21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 9, 1, 10, 10, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06142013', 6, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '21~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(26, 21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 21, TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/14/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 10, 5, 5, 25, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06142013', 6, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '21~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(27, 24, TO_DATE('06/18/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('06/18/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/18/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), -8, 8, 10, 80, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06182013', 3, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '24~1');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(28, 24, TO_DATE('06/18/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('06/18/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/18/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 10, 5, 5, 25, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06182013', 3, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '24~1');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(29, 23, TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 5, 10, 10, 100, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06172013', 2, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '23~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(30, 23, TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 22, TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/17/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 6, 1, 10, 10, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06172013', 2, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '23~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(31, 22, TO_DATE('06/16/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 23, TO_DATE('06/16/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/16/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), -8, 8, 10, 80, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06162013', 1, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '22~');
Insert into W_ORDERS_F
(ROW_WID, INVOICE_NUMBER, INVOICE_DT, CREATED_BY, CREATED_ON_DT, LAST_UPDATE_DT, PRODUCT_WID_SKEY, PRICE_PER_UNIT, OTY_ORDERED, TOT_PRICE_BY_PRODUCT, W_INSERT_DT, TIME_WID, DAY_NUM_OF_WEEK, MONTH_END_DT, QUARTER_NUM_OF_YEAR, YEAR_END_DT, ETL_PROC_WID, DATASOURCE_NUM_ID, INTEGRATION_ID)
Values
(32, 22, TO_DATE('06/16/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 23, TO_DATE('06/16/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), TO_DATE('06/16/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 4, 25, 10, 250, TO_DATE('06/19/2013 12:17:41', 'MM/DD/YYYY HH24:MI:SS'), '06162013', 1, TO_DATE('06/30/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), 2, TO_DATE('12/31/2013 00:00:00', 'MM/DD/YYYY HH24:MI:SS'), '22858060', 1, '22~');
COMMIT;This works:
select o_fs.invoice_number
, o_fs.product_id o_fs_product_id
, p_d.product_id p_d_product_id
, p_d.row_wid_skey p_d_row_wid_skey
, o_f.product_wid_skey
from w_orders_fs o_fs
, w_product_d p_d
, w_orders_f o_f
where o_fs.invoice_number = 10
and o_fs.product_id = p_d.product_id(+)
and p_d.current_flg(+) = 'Y'
and p_d.row_wid_skey = o_f.product_wid_skey(+)
and o_f.invoice_number(+) = 10
If you want to outer join to a table, you have to include a ( + ) on each of its columns in the where clause (or cope with them possibly being null). Personally, I find ANSI syntax easier to work with when dealing with outer joins:
select o_fs.invoice_number
, o_fs.product_id o_fs_product_id
, p_d.product_id p_d_product_id
, p_d.row_wid_skey p_d_row_wid_skey
, o_f.product_wid_skey
from w_orders_fs o_fs
left outer join w_product_d p_d
on o_fs.product_id = p_d.product_id
and p_d.current_flg = 'Y'
left outer join w_orders_f o_f
on p_d.row_wid_skey = o_f.product_wid_skey
and o_f.invoice_number = 10
where o_fs.invoice_number = 10
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