So I have a piece of code where I'm iterating over a list of data. Each one is a ReportData that contains a case with a Long caseId and one Ruling. Each Ruling has one or more Payment. I want to have a Map with the caseId as keys and sets of payments as values (i.e. a Map<Long, Set<Payments>>).
Cases are not unique across rows, but cases are.
In other words, I can have several rows with the same case, but they will have unique rulings.
The following code gets me a Map<Long, Set<Set<Payments>>> which is almost what I want, but I've been struggling to find the correct way to flatMap the final set in the given context. I've been doing workarounds to make the logic work correctly using this map as is, but I'd very much like to fix the algorithm to correctly combine the set of payments into one single set instead of creating a set of sets.
I've searched around and couldn't find a problem with the same kind of iteration, although flatMapping with Java streams seems like a somewhat popular topic.
rowData.stream()
.collect(Collectors.groupingBy(
r -> r.case.getCaseId(),
Collectors.mapping(
r -> r.getRuling(),
Collectors.mapping(ruling->
ruling.getPayments(),
Collectors.toSet()
)
)));