Unable to interpret 1,000.000 as a number while posting IDOCs

Hi All,
I know this query has been asked multiple times but as of now I am unable to find the right match so posting this query again. We are posting an IDOC from SAP PI to SAP ECC using SAP PI IDOC Adapter. When the IDOC is sent there is one specific value in one of the fields which have value 1000.00. Now when the IDOC is received by SAP the value is received as 1,000.000. As far as I understand this is because the user configured in the RFC destination in SAP PI (which sends the IDOC to SAP) is having in its default profile the Decimal Notation as 1,234,567.89 and hence we see the value as 1,000.00.
But then the IDOC is not posted in SAP and the issue is: "Immediately processing not possible: Unable to interpret 1,000.000 as a number".
As I am not much aware about ABAP being a PI consultant, would appreciate if experts can guide me on how to resolve this issue. Thanks for taking time to read through the issue.
Thanks,
Pratik

Please check at abap end for the inbound parameters.
In we20 the message type will be assigned .Double click it and you will get the process code.Double click that and you will get the required FM.
If the inbound function module is Z ,Please do the necessary change.
OR
Else try WE19 to process the idoc (Existing).
Execute and then check the Inbound function module option and then call in debugging mode to check the where the error is happening.
Hope it helps.
Thanks!

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1. Does the speed of building of secondary index
depend on the type of the data in the key? Will
having integers in secondary key as opposed to string
be better?The byte size of the key and data is significant of course, but the data type is not.
2. How much are we bound of the memory? Lets assume
my memory setting is fixed.
a. I know with current memory settings if I set txn
n on, I have java Heap Error.
So will I be limited on the size of
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b. Is there any other way of speeding the build of
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c. Will it be more beneficial not to bulk
load when the datasize gets large
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incrementally?It's up to you whether you want to pay the price during an initial load or incrementally.
d. Do you think it will help to partition the
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using some criteria, and thus build
smaller trees.          Why? You can use deferred write or non-transactional access to load any size database.
The only weak point in this is if we have to bulk
bulk load in one partition
at some time increasing its size we may
face the same problem againFace what problem?
--mark

Unable to interpret 1,000.000 as a number while posting IDOCs

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