It seems that you want just:
ConcurrentMap<String, Model> modelsMap =
models.parallelStream()
.collect(toConcurrentMap(Model::getId, identity()));
This creates ConcurrentMapfrom the list of models, collecting it with Collectors.toConcurrentMap. The key mapper is a function that returns the name of the model, and the value mapper is an identification function.
, - .
, pairing, , Pair. , .
Pair<Map<String, Model>, List<String>> pair =
models.parallelStream()
.collect(pairing(
toConcurrentMap(Model::getId, identity()),
mapping(Model::getName, toList()),
Pair::new)
);
static <T, A1, A2, R1, R2, R> Collector<T, ?, R> pairing(Collector<T, A1, R1> c1,
Collector<T, A2, R2> c2, BiFunction<R1, R2, R> finisher) {
EnumSet<Characteristics> c = EnumSet.noneOf(Characteristics.class);
c.addAll(c1.characteristics());
c.retainAll(c2.characteristics());
c.remove(Characteristics.IDENTITY_FINISH);
return Collector.of(() -> new Object[] {c1.supplier().get(), c2.supplier().get()},
(acc, v) -> {
c1.accumulator().accept((A1)acc[0], v);
c2.accumulator().accept((A2)acc[1], v);
},
(acc1, acc2) -> {
acc1[0] = c1.combiner().apply((A1)acc1[0], (A1)acc2[0]);
acc1[1] = c2.combiner().apply((A2)acc1[1], (A2)acc2[1]);
return acc1;
},
acc -> {
R1 r1 = c1.finisher().apply((A1)acc[0]);
R2 r2 = c2.finisher().apply((A2)acc[1]);
return finisher.apply(r1, r2);
}, c.toArray(new Characteristics[c.size()]));
}
Pair:
public class Pair<T, U> {
private final T first;
private final U second;
public Pair(T first, U second) {
this.first = first;
this.second = second;
}
public T getFirst() {
return first;
}
public U getSecond() {
return second;
}
}