Hello Praveen,
I tried your suggestion, and can confirm this works 
This is the job_information mapping
Can you elaborate a bit on how this exactly works? The way formatByExample is used here isn't very clear to me when viewing the online help or some examples.
I would like to enhance the mapping further :
let's say we have the job_information mapping from above. Only one record is returned as the current date fals in between the start and end_date of the job_information node.
In the Employment_Information node, I created a similar mapping with start and end_dates.
Person ID 714 has two valid employment_information records.
- The first employment_information record has no valid job_information records, as emplStatus is not equal to 'A' (what we filtered for together with the dates in set job_information). The employee is dispatched from BEL_1 to location NLD_1.
- The second employment_information records has a valid job_information record : emplStatus is 'A'.
-> We wish to only return the employment_information record that has a job_information record with emplStatus : A. So how do I best combine the emplStatus value from the job_information node into the employment_information mapping? (Context change required etc ... ?). We can test if the job_information records exists or test for the actual value (if present)? Interesting for me would be to see the recommended way of combining the value from a subnode (job_information : where there is already a mapping with conditions made) into the main node (employment_information).
record 1 :
employment_information
start_date : 2015-01-01
job_information :
emplStatus : D
end_date : 9999-12-31
start_date : 2015-01-01
company : TE_EUR
location : BEL_1
record 2 :
employment_information
start_date : 2016-02-22
job_information :
emplStatus : A
end_date : 9999-12-31
start_date : 2016-02-22
company : TE_EUR_NLD
location : NLD_1
Thanks both of you for the help,
Kevin