I have Map<Integer,Doctor> docLib=new HashMap<>();
to save class of Doctor
.
Class Doctor
has methods:getSpecialization()
return a String
,getPatients(
) to return a collection of class Person
.
In the main method, I type:
public Map<String,Set<Person>> getPatientsPerSpecialization(){
Map<String,Set<Person>> res=this.docLib.entrySet().stream().
map(d->d.getValue()).
collect(groupingBy(d->d.getSpecialization(),
d.getPatients()) //error
);
return res;
}
As you can see, I have problem with groupingBy
,I try to send the same value d to the method, but it's wrong.
How to solve this?
You need a second Collector for that mapping :
public Map<String,Set<Person>> getPatientsPerSpecialization(){
return this.docLib
.values()
.stream()
.collect(Colectors.groupingBy(Doctor::getSpecialization,
Collectors.mapping(Doctor::getPatients,toSet()))
);
}
EDIT:
I think my original answer may be wrong (it's hard to say without being able to test it). Since Doctor::getPatients
returns a Collection, I think my code may return a Map<String,Set<Collection<Person>>>
instead of the desired Map<String,Set<Person>>
.
The easiest way to overcome that is to iterate over that Map
again to produce the desired Map
:
public Map<String,Set<Person>> getPatientsPerSpecialization(){
return this.docLib
.values()
.stream()
.collect(Colectors.groupingBy(Doctor::getSpecialization,
Collectors.mapping(Doctor::getPatients,toSet()))
)
.entrySet()
.stream()
.collect (Collectors.toMap (e -> e.getKey(),
e -> e.getValue().stream().flatMap(c -> c.stream()).collect(Collectors.toSet()))
);
}
Perhaps there's a way to get the same result with a single Stream pipeline, but I can't see it right now.
Instead of groupingBy
, you could use toMap
:
public Map<String, Set<Person>> getPatientsPerSpecialization() {
return docLib.values()
.stream()
.collect(toMap(Doctor::getSpecialization,
d -> new HashSet<>(d.getPatients()),
(p1, p2) -> Stream.concat(p1.stream(), p2.stream()).collect(toSet())));
}
What it does is that it groups the doctors per specialization and map each one to a set of the patients it has (so a Map<String, Set<Person>>
).
If, when collecting the data from the pipeline, you encounter a doctor with a specialization that is already stored as a key in the map, you use the merge function to produce a new set of values with both sets (the set that is already stored as a value for the key, and the set that you want to associate with the key).
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