Master Data from two source systems
Hi Gurus,
I need to load master data from two different source systems. What is the best way I could do that ?
I know one approach is add system id 0logsys as prefix in compound tab and load it. But problem is master data table will have two different records and in the report it will display 2 records, can not summarized it in the report. But I need one record in the report. What is the best approach ?
Thanks
Liza
Hi,
Create two DataSources. one for each of the source system.
Create two separate flows to the master from these two DataSources.
Hope this helps!
Similar Messages
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To Load Master Data From Two Source System
Hi All,
I have a small question :
- Can we load master data from two different source system say from flat file and R3 or any two different or similar source system?
If answer is "Yes", then how?? If possible step by step.
Appreciate your valuable points.
Thanks,
Niraj SharmaHi,
Still i have problem.R3 Transformation and DTP is getting activated but when i am executing DTP for flat file,
I am getting below ERROR.
Object DTP DTP_d55.......could not found in version A.
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Hi Gurus,
I am working on a project which has 2 source systems.
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Peter.Hi Peter,
Can you brief me how did you resolved your issue?
Regards
Utpal -
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hi
i am loading 2 cubes from 2 different source system
1 is ECC and another is Flat file load from Old system which is no longer in use...
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hi everybody ,
i want to transfer data from 2 source systems into a info cube, how can we do that and i dont want to transfer duplicate data from two source systems. like i have 1,2,3,4 records in one source system and 1,5,6,7 records in the other system.i want to transfer 1,2,3,4,5,6,7 in to the cube. can u help me to solve this problem?Hi
The solution given by Paolo will not work 100% correct.
Even if you create ODS and with record number as key of ODS the data in ODS will be record no 1,2,3,4,5,6,7
But data of record 1 will be overwritten (first it will hold data from 1st source system and then from 2nd source system) since record number is key. Also you can not differentiate the values of data that means which data is coming from which system.
For this you need to use compouding of infoobjects. In this expample, record number should be compounded with Source system ID infoobject-0soursystem. Then your ODS will contain source system ID along with record number as keys and record 1 will not be overwritten.
Have a look at SDN threads on compounding-
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Hi BW,
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Des -
Acquiring streaming data from two sources
I�m trying to acquire data from two devices at the same time. I have written two sub VI�s where each one takes the data from one piece of equipment. The equipment is such that they are both constantly outputting data. I have been successful in running both of the sub VI�s separately at the same time. The trouble occurs when I try to put the sub VI�s together in a larger VI. When the two sub VI�s part of a larger VI, both cannot run at the same time. One of the sub VI�s tries to read from the serial port and is unable to get anything in response. Is there something I am missing as to why they can not be running at the same time?
Hello,
It is possible that you are seeing the consequences of LabVIEW compiling code written in parallel. More specifically, if you have code in parallel (not connected by dataflow, but in the same block diagram) LabVIEW will split execution time between those parts of your code. Previously you were likely manually starting two separate programs, which inherently adds a delay between the start of the programs, allowing the first program to get sufficiently far in its execution; we could be seeing the consequence of this. It would help if you could be more specific about the details of your setup and code (such as 1. which instruments are connected to which ports? 2. are you writing a command to your instruments and then receiving data as a response? 3. do you rec
eive any errors? 4. if you do receive errors, which errors do you see and where in your code do you first see them?).
Repost with some more information (perhaps a screen shot or your code) and we can get a more definitive answer!
Thank you,
Regards,
JLS
Applications Engineer
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Best,
JLS
Sixclear -
Master data from two data sources
Dear Experts
IO(0CRM_PROD),getting populated from 0PRODUCT_ATTR(BI 3.5)(existing in production with overwrite mode for all fields).Now I want to add one enhance field in 0CRM_PRODUCT,same getting populated from generic datasource(BI 7).Requirement is one IO with the source of one std datasource(3.5) and one generic datasource(BI 7).How to achieve this...
Thanks
RajeshIssue resolved it worked.I used master data look up logic.
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Delta loading master data errors in source system Message RSM340 quality
Hi,
I'm trying to load with delta master data for standard data sources.
In dev, everything seems fine.
I' ve transported the same elements to QA. I've done init, it is ok. I do delta, I get red status: Errors in source system, message no. RSM340. I've tried to put my delta on green, I've remade my init, I've reloading with delta, and I get the same problem.
I have this problem for all master data loading.
Should I install some infoobject from Bi Content?
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Check following threads
[3003 + R3299 + RSM340] error messages loading an ODS
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Loading master data from two different infosource.
Hi Experts,
I would like understand the mechanism behind loading data to masterdata infoobject from two different infosource.
Ex: I have one master data infoobject called A and it has 4 attributes B C D E.
now I am loading values for A B and C from INFOSOURCE1
D and E is getting loaded from INFOSOURCE2.
could ne one please explanin how this works and how all five values get merged in single record?
Please help
Best Regards
FalgunDear Falgun,
Component of an InfoSource:
An InfoSource is always a quantity of InfoObjects that logically belong together and are updated in data targets.
a. <b>InfoSources with flexible update</b>
An InfoSource with flexible update can be updated in any data targets (with the exception of hierarchies). Update rules are created for this InfoSource.
InfoObjects can be used in as many InfoSources and data targets as you like.
b. <b> InfoSources with direct update</b>
Using an InfoSource with direct update, master data (characteristics with attributes or texts) for an InfoObject can be written directly (without update rules) to the master data table.
Visit the following link for more information:
http://help.sap.com/saphelp_nw04/helpdata/en/e3/e60138fede083de10000009b38f8cf/frameset.htm
Hope this is helpful.
Regards,
Naveen. -
Hi all, i am trying to solve an specific scenario which i am having trouble with. here is my data
WITH data AS
SELECT 123 id, '10.30.2009' dt, 10 src, 'test1' name, 145 yd, 780 pdf, 'hd1' var FROM dual UNION ALL
SELECT 123 id, '10.31.2009' dt, 10 src, 'test2' name, 146 yd, 781 pdf, 'hd2' var FROM DUAL UNION ALL
SELECT 123 id, '11.10.2009' dt, 10 src, 'test3' name, 147 yd, 782 pdf, 'hd3' var FROM DUAL UNION ALL
SELECT 123 id, '11.11.2009' dt, 10 src, 'test4' name, 147 yd, 182 pdf, 'hd4' var FROM DUAL UNION ALL
SELECT 123 id, '11.12.2009' dt, 10 src, 'test5' name, 167 yd, 212 pdf, 'hd33' var FROM DUAL UNION ALL
SELECT 123 id, '11.13.2009' dt, 10 src, 'test6' name, 137 yd, 322 pdf, 'hd34' var FROM DUAL UNION ALL
SELECT 123 id, '9.27.2009' dt, 10 src, 'test7' name, 148 yd, 783 pdf, 'hd4' var FROM DUAL UNION ALL
SELECT 123 id, '10.12.2009' dt, 10 src, 'test8' name, 149 yd, 784 pdf, 'hd5' var FROM DUAL
data2
SELECT 123 id, '9.25.2009' dt, 11 src, 'test4' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '9.26.2009' dt, 11 src, 'test5' name, 135 yd FROM DUAL UNION ALL
SELECT 123 id, '9.27.2009' dt, 11 src, 'test7' name, 15 yd FROM DUAL UNION ALL
SELECT 123 id, '9.28.2009' dt, 11 src, 'test8' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '9.29.2009' dt, 11 src, 'test99' name, 175 yd FROM DUAL UNION ALL
SELECT 123 id, '9.30.2009' dt, 11 src, 'test44' name, 175 yd FROM DUAL UNION ALL
SELECT 123 id, '9.31.2009' dt, 11 src, 'test33' name, 148 yd FROM DUAL UNION ALL
SELECT 123 id, '10.1.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.2.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.3.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.4.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.5.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.6.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.7.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.8.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.9.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.10.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.11.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.12.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.13.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.14.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.15.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.16.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.17.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.18.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.19.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.20.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.21.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.22.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.23.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.24.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.25.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.26.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.27.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.28.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.29.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.30.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.31.2009' dt, 11 src, 'test' name, 146 yd FROM DUAL UNION ALL
SELECT 123 id, '11.01.2009' dt, 11 src, 'test' name, 147 yd FROM DUAL UNION ALL
SELECT 123 id, '11.2.2009' dt, 11 src, 'test' name, 148 yd FROM DUAL UNION ALL
SELECT 123 id, '11.3.2009' dt, 11 src, 'test' name, 149 yd FROM DUAL UNION ALL
SELECT 123 id, '11.4.2009' dt, 11 src, 'test' name, 141 yd FROM DUAL UNION ALL
SELECT 123 id, '11.5.2009' dt, 11 src, 'test' name, 148 yd FROM DUAL UNION ALL
SELECT 123 id, '11.6.2009' dt, 11 src, 'test' name, 149 yd FROM DUAL UNION ALL
SELECT 123 id, '11.7.2009' dt, 11 src, 'test' name, 141 yd FROM DUAL UNION ALL
SELECT 123 id, '11.8.2009' dt, 11 src, 'test' name, 141 yd FROM DUAL UNION ALL
SELECT 123 id, '11.9.2009' dt, 11 src, 'test' name, 141 yd FROM DUAL UNION ALL
SELECT 123 id, '11.10.2009' dt, 11 src, 'test' name, 141 yd FROM DUAL
as you can see there are some rows in data table that matches the id, dt in data2.
there is some rows in data2 that is not there in data table and vice versa. also both tables columns
are identical except that data has more columns that data2 doesnt have. i want to write a query.
i would like to join data and data2 table.
if a row in data table matches a row in data2 then i would take the row in data table
and display it along with the rest of the columns. if a row is not found in data but it is found
in data2 for a particular id (in this case 123) then i want to display the row from data2 and the rest of the columns value from data2.
please note that in the data above i gave you one specific id 123. my tables will have the same situation as above
for different id. the output of the above query should be as follow.
ID DT SRC NAME YD PDF VAR
123 9.25.2009 11 testt 145
123 9.26.2009 11 test5 135
123 9.27.2009 10 test7 148 783 hd4
123 9.28.2009 11 test8 145
123 9.29.2009 11 test99 175
123 9.30.2009 11 test44 175
123 9.31.2009 11 test33 148
123 10.1.2009 11 test 145
123 10.2.2009 11 test 145
123 10.3.2009 11 test 145
123 10.4.2009 11 test 145
123 10.5.2009 11 test 145
123 10.6.2009 11 test 145
123 10.7.2009 11 test 145
123 10.8.2009 11 test 145
123 10.9.2009 11 test 145
123 10.10.2009 11 test 145
123 10.11.2009 11 test 145
123 10.12.2009 10 test8 149 784 hd5
123 10.13.2009 11 test 145
123 10.14.2009 11 test 145
123 10.15.2009 11 test 145
123 10.16.2009 11 test 145
123 10.17.2009 11 test 145
123 10.18.2009 11 test 145
123 10.19.2009 11 test 145
123 10.20.2009 11 test 145
123 10.21.2009 11 test 145
123 10.22.2009 11 test 145
123 10.23.2009 11 test 145
123 10.24.2009 11 test 145
123 10.25.2009 11 test 145
123 10.26.2009 11 test 145
123 10.27.2009 11 test 145
123 10.28.2009 11 test 145
123 10.29.2009 11 test 145
123 10.30.2009 10 test1 145 780 hd1
123 10.31.2009 10 test2 146 781 hd2
123 11.01.2009 11 test 147
123 11.2.2009 11 test 148
123 11.3.2009 11 test 149
123 11.4.2009 11 test 141
123 11.5.2009 11 test 148
123 11.6.2009 11 test 149
123 11.7.2009 11 test 141
123 11.8.2009 11 test 141
123 11.9.2009 11 test 141
123 11.10.2009 10 test3 747 782 hd3
123 11.11.2009 10 test4 147 182 hd4
123 11.12.2009 10 test5 167 212 hd33
123 11.13.2009 10 test6 137 322 hd34
123 11.14.2009 11 test 141
if you notice, i am displaying the data from data table when there is a match in data and data2 tables for a particular id, dt combination.
if there is data in data2 that is not in data then i pull those data from data2 and display. the same thing goes for data table. if there is data in data table
but it is not there in data2 then i display data from data table. when rows matches then i take the one from data table
i would like to write a query that give the above output. if anybody can help, i will appreciate.
thanksHi,
I'm sorry, misread it and didn't look wll at the outcome. This is better:
WITH data AS
SELECT 123 id, '10.30.2009' dt, 10 src, 'test1' name, 145 yd, 780 pdf, 'hd1' var FROM dual UNION ALL
SELECT 123 id, '10.31.2009' dt, 10 src, 'test2' name, 146 yd, 781 pdf, 'hd2' var FROM DUAL UNION ALL
SELECT 123 id, '11.10.2009' dt, 10 src, 'test3' name, 147 yd, 782 pdf, 'hd3' var FROM DUAL UNION ALL
SELECT 123 id, '11.11.2009' dt, 10 src, 'test4' name, 147 yd, 182 pdf, 'hd4' var FROM DUAL UNION ALL
SELECT 123 id, '11.12.2009' dt, 10 src, 'test5' name, 167 yd, 212 pdf, 'hd33' var FROM DUAL UNION ALL
SELECT 123 id, '11.13.2009' dt, 10 src, 'test6' name, 137 yd, 322 pdf, 'hd34' var FROM DUAL UNION ALL
SELECT 123 id, '9.27.2009' dt, 10 src, 'test7' name, 148 yd, 783 pdf, 'hd4' var FROM DUAL UNION ALL
SELECT 123 id, '10.12.2009' dt, 10 src, 'test8' name, 149 yd, 784 pdf, 'hd5' var FROM DUAL
data2 as
SELECT 123 id, '9.25.2009' dt, 11 src, 'test4' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '9.26.2009' dt, 11 src, 'test5' name, 135 yd FROM DUAL UNION ALL
SELECT 123 id, '9.27.2009' dt, 11 src, 'test7' name, 15 yd FROM DUAL UNION ALL
SELECT 123 id, '9.28.2009' dt, 11 src, 'test8' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '9.29.2009' dt, 11 src, 'test99' name, 175 yd FROM DUAL UNION ALL
SELECT 123 id, '9.30.2009' dt, 11 src, 'test44' name, 175 yd FROM DUAL UNION ALL
SELECT 123 id, '9.31.2009' dt, 11 src, 'test33' name, 148 yd FROM DUAL UNION ALL
SELECT 123 id, '10.1.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.2.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.3.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.4.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.5.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.6.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.7.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.8.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.9.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.10.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.11.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.12.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.13.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.14.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.15.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.16.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.17.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.18.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.19.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.20.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.21.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.22.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.23.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.24.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.25.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.26.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.27.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.28.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.29.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.30.2009' dt, 11 src, 'test' name, 145 yd FROM DUAL UNION ALL
SELECT 123 id, '10.31.2009' dt, 11 src, 'test' name, 146 yd FROM DUAL UNION ALL
SELECT 123 id, '11.01.2009' dt, 11 src, 'test' name, 147 yd FROM DUAL UNION ALL
SELECT 123 id, '11.2.2009' dt, 11 src, 'test' name, 148 yd FROM DUAL UNION ALL
SELECT 123 id, '11.3.2009' dt, 11 src, 'test' name, 149 yd FROM DUAL UNION ALL
SELECT 123 id, '11.4.2009' dt, 11 src, 'test' name, 141 yd FROM DUAL UNION ALL
SELECT 123 id, '11.5.2009' dt, 11 src, 'test' name, 148 yd FROM DUAL UNION ALL
SELECT 123 id, '11.6.2009' dt, 11 src, 'test' name, 149 yd FROM DUAL UNION ALL
SELECT 123 id, '11.7.2009' dt, 11 src, 'test' name, 141 yd FROM DUAL UNION ALL
SELECT 123 id, '11.8.2009' dt, 11 src, 'test' name, 141 yd FROM DUAL UNION ALL
SELECT 123 id, '11.9.2009' dt, 11 src, 'test' name, 141 yd FROM DUAL UNION ALL
SELECT 123 id, '11.10.2009' dt, 11 src, 'test' name, 141 yd FROM DUAL
select data2.id,data2.dt,nvl(data.src,data2.src) src, nvl(data.name,data2.name) name,nvl(data.yd,data2.yd) yd,data.pdf,data.var
from data2,data
where data2.id = data.id(+)
and data2.dt = data.dt(+)Herald ten Dam
Superconsult.nl -
Collecting data from two R3 source systems
Dear All,
Scenario:
We are in the process of implementing SAP BI 7.0 in our organisation.
We have a single BI server (7.01) collecting data from two source
systems from two different divisions within the group.
The first system is of Company 1 where we have IS u2013 MILL (ECC 6.0).
BI has been implemented and running successfully in this unit. Now we
have started implementing BI in the second unit u2018Company 2u2019
where the industry specific solution IS u2013 AFS (ECC 6.0) is the source
system.
We are activating BI Standard Content for AFS. When we try to upload
master data, we face a problem.
The master data (0Division, 0Mat_Grp_3, etc.) is already loaded with
IS Mill data (data from the first source system). Now when the data is
loaded from IS AFS (second source system), wherever, the same key
exists in the info object, we notice that the existing data is
overwritten by the freshly loaded data, thus causing loss of existing
data.
A typical example is as follows:
BW Data u2013 Source system 1 u2013 (Before upload of data from source system
2):
0Division
99 EN Stock Transfer Out
AFS Data (Source system 2) -
0Division
99 EN STO
BW Data u2013 Source system 1 u2013 (After upload of data from source system 2):
After uploading the master data from AFS, the Values areu2026
0Division
99 EN STO
The original data is lost.
Similar problem is noticed with other master data as well.
Please suggest the right methodology for upload of master data when
data to BW is sourced from two systems. How to retain the data in the
same Infoobject but at the same time maintain distinction between the
data from the two systems.
We donu2019t find any specific mention of such scenarios in the standard
documentation.
Will such a problem recur when we upload transactional data?
Regards,
Aslam KhanHi Aslam,
Please use some compounding attribute for your master data object like Sourcesystem ID. While loading the master data from different source systems... you should have two different flows to fill the same master data object. In each flow you can specify the Source system ID as constant value ... eg SS1 (Source system 1) and SS2(Source system 2) in each of the data flows. This should solve your issue without overwriting your master data
Thanks
Kishore
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