Infoobject change for extracting texts data.

Hi BW guys,
Here is my requirement.
I have one info object 'salesmen', which is already used in some other ODS & Cube's.
Now I want to extract texts data for the object 'salesmen', for that I will need to change my infoobject (changes are : adding credit control are object under compounding).
But while i am activating the info object again it is giving errors.
Error messages:
1) InfoObject XXXXX (or ref.) is used in data targets with data -> Error:
2) Characteristic XXXXX: Compound or reference was changed
3)InfoObject XXXXX being used in InfoCube XXXX (contains data)
etc....
But i don't want to delete the data in any data target.
Is there any way to solve this problem?
Thanks in advance......

Hi,
If you have not many cubes and ODSs with this salesman, you can consider another, beter, but more time-consuming way.
1. Create a new IO for your salesman, add a compounding attribute as you want.
2. Load master data for the new IO.
3. Create copies of your infoproviders.
3. In each of them delete an old salesman IO and insert a new one.
4. Create export datasourses for old cubes.
5. Create update rules for new data targets based on old ones.
6. In URs map your new IO with the old one. All other IOs should be mapped 1:1 (new<-old).
7. Reload data targets.
That's all.
The way I proposed earlier is less preferrable. Because anyway you'll have to change loaded into data targets data. And in this case it's better to change data model as you want.
Best regards,
Eugene

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| 0 | SELECT STATEMENT | | 544K| 30M| | 693K (20)|
| 1 | SORT ORDER BY | | 544K| 30M| 75M| 693K (20)|
|* 2 | HASH JOIN | | 544K| 30M| | 689K (20)|
|* 3 | TABLE ACCESS FULL | ACCOUNT | 20080 | 294K| | 6220 (18)|
|* 4 | HASH JOIN OUTER | | 131M| 5532M| 5155M| 678K (20)|
|* 5 | TABLE ACCESS FULL| ACCOUNT_HISTORY | 131M| 3646M| | 197K (25)|
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I have some suggestions. But first, you realize that you have some redundant indexes, right? You have an index on account(account_name) and also account(account_name, account_id), and also account_history(invoice_id) and account_history(invoice_id, adjustment_id). No matter, I will suggest some new composite indexes.
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