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Java Steams

Useful Stream Methods

Example on a basic Array:

private int[] numbers = new int[]{1,4,5,3,2};
private String[] names = new String[]{"Jay","Paul"};

1. Sorted()

numbers = Arrays.stream(numbers).sorted().toArray();

  • if every object of the stream implements the Comparably interface, you can just call sorted() and it will sort the stream according to the compareTo function.

  • if this is not the case, or you simply want another sorting criteria, the static fuction Comparator.comparing can be used to specify how to sort.

names = Arrays.stream(names)
.sorted(Comparator.comparing(s -> s.charAt(0))).toArray(String[]::new);
  • here the Array was changed to a String Array, and sorted according to the first char of each String;

2. takeWhile() / dropWhile()


  • the takeWhile() operation takes a predicate as an parameter, and breaks the stream, at the first element that does not satisfy the condition.
Arrays.stream(numbers).takeWhile(number -> number < 10);
  • the calculation of the stream ends with the first number thats less than 10 (excluded)

  • the dropWhile() operation is basically the opposite of takeWhile, it takes a predicate as an parameter, and removes elements from the stream until the first element does not satisfy the condition.
int[] numbers = new int[] {3,4,5,11,6,20};

Arrays.stream(numbers).dropWhile(number -> number < 10);
  • in this example, only the elements 6 and 20 will remain for further calculations.

Honorable Mentions

  • AnyMatch(predicate): returs true if one element satisfies the predicate

  • AllMatch(predicate): returns true if all elements satisfy the predicate

  • NoneMatch(predicate): returns true if no element satisfies the predicate

  • count(): returns the number of elements in the stream

  • distinct(): returns a stream where each distinct element only occures once. Uses the HashCode to distinct between objects

  • ...

Mapping Functions

Map()

  • the function mapps the current stream element into a new type
 Arrays.stream(names).map(string -> string.charAt(0));
  • in this example all strings of the stream are mapped to their first char -> a char stream is returned.

Stream to String:

public static String prettyDirections(Stream<OneWay> oneWays) {  
    return oneWays.map(OneWay::prettyPrint).collect(Collectors.joining("\n"));  
}
// Collectors.joining(...) will join all elements of stream to a string seperated by specifyed delimiter

Stream to Map< K, List< V > > (very useful)

train ex from pgdp

Map<String, List<TrainConnection>> typeToConnections = connections
                .collect(Collectors.groupingBy(TrainConnection::type));

Stream to Map< K, < Anything > (even more useful)

Variation of function above where you pass a second argument (Collector) in .groupingBy() to get e.g. an average.

connections.flatMap(trainConnection -> trainConnection.stops().stream()).collect(Collectors.groupingBy(trainStop -> trainStop.actual().getHour(), Collectors.averagingDouble(TrainStop::getDelay)));

this would be the second Collector in this example

Collectors.averagingDouble(TrainStop::getDelay)

Map to Primitive

  • per default, the elements in a stream are always objects, if you want to apply a functions specific to primitve types, a conversion is required.
Stream tmp = Arrays.stream(names).mapToInt(string -> string.length());

return tmp.sum();

  • this converts the stream into a stream of primitive types and sums each value.

  • this also works for double and long

Flatmap()

the flatmMap operation takes a steam of streams as input, and converts it into a single output stream.