Let consider a hashmap
Map id1 = new HashMap();
I inserted some values into both hashmap.
For
What you need to do is create a Stream
out of the Map
's .entrySet()
:
// Map<K, V> --> Set<Map.Entry<K, V>> --> Stream<Map.Entry<K, V>>
map.entrySet().stream()
From the on, you can .filter()
over these entries. For instance:
// Stream<Map.Entry<K, V>> --> Stream<Map.Entry<K, V>>
.filter(entry -> entry.getKey() == 1)
And to obtain the values from it you .map()
:
// Stream<Map.Entry<K, V>> --> Stream<V>
.map(Map.Entry::getValue)
Finally, you need to collect into a List
:
// Stream<V> --> List<V>
.collect(Collectors.toList())
If you have only one entry, use this instead (NOTE: this code assumes that there is a value; otherwise, use .orElse()
; see the javadoc of Optional for more details):
// Stream<V> --> Optional<V> --> V
.findFirst().get()
You can also do it like this
public Map<Boolean, List<Student>> getpartitionMap(List<Student> studentsList) {
List<Predicate<Student>> allPredicates = getAllPredicates();
Predicate<Student> compositePredicate = allPredicates.stream()
.reduce(w -> true, Predicate::and)
Map<Boolean, List<Student>> studentsMap= studentsList
.stream()
.collect(Collectors.partitioningBy(compositePredicate));
return studentsMap;
}
public List<Student> getValidStudentsList(Map<Boolean, List<Student>> studentsMap) throws Exception {
List<Student> validStudentsList = studentsMap.entrySet()
.stream()
.filter(p -> p.getKey() == Boolean.TRUE)
.flatMap(p -> p.getValue().stream())
.collect(Collectors.toList());
return validStudentsList;
}
public List<Student> getInValidStudentsList(Map<Boolean, List<Student>> studentsMap) throws Exception {
List<Student> invalidStudentsList =
partionedByPredicate.entrySet()
.stream()
.filter(p -> p.getKey() == Boolean.FALSE)
.flatMap(p -> p.getValue().stream())
.collect(Collectors.toList());
return invalidStudentsList;
}
With flatMap
you will get just List<Student>
instead of List<List<Student>>
.
Thanks
If you are sure you are going to get at most a single element that passed the filter (which is guaranteed by your filter), you can use findFirst
:
Optional<List> o = id1.entrySet()
.stream()
.filter( e -> e.getKey() == 1)
.map(Map.Entry::getValue)
.findFirst();
In the general case, if the filter may match multiple Lists, you can collect them to a List of Lists :
List<List> list = id1.entrySet()
.stream()
.filter(.. some predicate...)
.map(Map.Entry::getValue)
.collect(Collectors.toList());
Maybe the sample is oversimplified, but you don't need the Java stream API here. Just use the Map directly.
List<String> list1 = id1.get(1); // this will return the list from your map
For your Q2, there are already answers to your question. For your Q1, and more generally when you know that the key's filtering should give a unique value, there's no need to use Streams at all.
Just use get
or getOrDefault
, i.e:
List<String> list1 = id1.getOrDefault(1, Collections.emptyList());
Using keySet-
id1.keySet().stream()
.filter(x -> x == 1)
.map(x -> id1.get(x))
.collect(Collectors.toList())