Hashmap with Streams in Java 8 Streams to collect value of Map

Solution 1:

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());

Solution 2:

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()

Solution 3:

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());

Solution 4:

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

Solution 5:

Using keySet-

id1.keySet().stream()
        .filter(x -> x == 1)
        .map(x -> id1.get(x))
        .collect(Collectors.toList())