HR_INFOTYPE_OPERATION - Running in Batch Mode

I have an ABAP which reads data from a flat file into an internal table and then loops through this internal table and updates HR Infotype 15 records via the HR_INFOTYPE_OPERATION function.  In my program I give the user the option of running it in a "Test/no comitt" mode so they can verify the data in their data file and then they can run it in an "Update/Commit" mode.
The program itself works great as long as I run it on-line.  I catch any errors and report them back to the user before the run it in "Update" mode.  This way if their is a problem with any of the data in the data file then they are made aware of this.  HOWEVER, if I run this same program in Batch mode it abends if their are any problems at all with any of the records in the data file (ie., employee doesn't exist or whatever).  The program just stops and does not give any error message and just indicates that is has Finished by it really hasn't.  I can't find anything in OSS notes around this. The program runs fine in Batch as long as the data file is clean and o.k.
Has anyone else had this problem or have any ideas?

Hi Janice
For what its worth, I know its already too late for a reply to this problem, but documenting it so others can see.
We had a number of issues updating infotypes 14 & 15 using HR_INFOTYPE_OPERATION. It works great for 14 but works sporadically when used in conjunction with a BDC logic. Function does not work that well for IT15 together with BDC. The key here is that the BDC logic was used in conjunction to calling the function. We had such a requirement.
Anyway, I debugged the standard code, found some internal buffer clearing modules and used them as well, but that didn't work either. Finally we ended up using just the BDC, without the FM for lack of time and that is working great.
I wanted to put this for the benefit of others who use it. Depending on how you use it, this FM does have some strange problems such as - not returning any error when it failed, performance problems with huge data loads etc.
Thanks,
Anand

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