Comprehensive Guide to Java 8 Stream API with Practical Examples
This article provides an in‑depth tutorial on Java 8 Stream API, covering its concepts, creation methods, common operations such as filtering, mapping, reducing, collecting, sorting, and grouping, along with numerous runnable code examples that demonstrate how to process collections efficiently using streams.
1. Stream Overview
Java 8 introduced the Stream API together with Lambda expressions, greatly simplifying operations on collections.
Stream treats the source collection as a flow of data, allowing operations like filter, sort, and aggregate.
Streamcan be created from arrays or collections and supports two types of operations: intermediate (returning a new stream) and terminal (producing a result).
2. Creating Streams
Streams can be created in three ways:
Using Collection.stream() or Collection.parallelStream().
Using Arrays.stream(array) for primitive or object arrays.
Using static methods Stream.of(), Stream.iterate(), and Stream.generate().
List<String> list = Arrays.asList("a", "b", "c");
Stream<String> stream = list.stream();
Stream<String> parallel = list.parallelStream();
Stream<Integer> s = Stream.of(1,2,3);
Stream<Integer> s2 = Stream.iterate(0, x -> x + 3).limit(4);
Stream<Double> s3 = Stream.generate(Math::random).limit(3);3. Using Streams
Before using streams, understand the Optional type, which may contain a value or be empty.
3.1 Traversal and Matching
List<Integer> list = Arrays.asList(7,6,9,3,8,2,1);
list.stream().filter(x -> x > 6).forEach(System.out::println);
Optional<Integer> first = list.stream().filter(x -> x > 6).findFirst();
Optional<Integer> any = list.parallelStream().filter(x -> x > 6).findAny();
boolean anyMatch = list.stream().anyMatch(x -> x < 6);3.2 Filtering
List<Integer> list = Arrays.asList(6,7,3,8,1,2,9);
list.stream().filter(x -> x > 7).forEach(System.out::println);Filtering a list of Person objects by salary:
List<String> highEarners = personList.stream()
.filter(p -> p.getSalary() > 8000)
.map(Person::getName)
.collect(Collectors.toList());3.3 Aggregation
List<Integer> list = Arrays.asList(1,3,2,8,11,4);
Optional<Integer> sum = list.stream().reduce(Integer::sum);
Optional<Integer> product = list.stream().reduce((x,y) -> x * y);
Optional<Integer> max = list.stream().reduce(Integer::max);3.4 Mapping
String[] arr = {"abcd","bcdd","defde","fTr"};
List<String> upper = Arrays.stream(arr)
.map(String::toUpperCase)
.collect(Collectors.toList());3.5 Reduction
List<Integer> list = Arrays.asList(1,3,2,8,11,4);
Optional<Integer> sum = list.stream().reduce(Integer::sum);3.6 Collecting
The collect operation gathers stream elements into containers or computes statistics.
3.6.1 Collecting to List/Set/Map
List<Integer> evens = list.stream().filter(x -> x % 2 == 0).collect(Collectors.toList());
Set<Integer> evenSet = list.stream().filter(x -> x % 2 == 0).collect(Collectors.toSet());
Map<String, Person> map = personList.stream()
.filter(p -> p.getSalary() > 8000)
.collect(Collectors.toMap(Person::getName, p -> p));3.6.2 Statistics
Long count = personList.stream().collect(Collectors.counting());
Double avg = personList.stream().collect(Collectors.averagingDouble(Person::getSalary));
Optional<Integer> max = personList.stream().map(Person::getSalary).collect(Collectors.maxBy(Integer::compare));
Integer sum = personList.stream().collect(Collectors.summingInt(Person::getSalary));
DoubleSummaryStatistics stats = personList.stream().collect(Collectors.summarizingDouble(Person::getSalary));3.6.3 Grouping
Map<Boolean, List<Person>> byHighSalary = personList.stream()
.collect(Collectors.partitioningBy(p -> p.getSalary() > 8000));
Map<String, List<Person>> bySex = personList.stream()
.collect(Collectors.groupingBy(Person::getSex));
Map<String, Map<String, List<Person>>> bySexAndArea = personList.stream()
.collect(Collectors.groupingBy(Person::getSex, Collectors.groupingBy(Person::getArea)));3.6.4 Joining
String names = personList.stream()
.map(Person::getName)
.collect(Collectors.joining(","));
String joined = Arrays.asList("A","B","C").stream()
.collect(Collectors.joining("-"));3.6.5 Reducing (Collectors.reducing)
Integer taxedSum = personList.stream()
.collect(Collectors.reducing(0, Person::getSalary, (i,j) -> i + j - 5000));3.7 Sorting
List<String> bySalary = personList.stream()
.sorted(Comparator.comparing(Person::getSalary))
.map(Person::getName)
.collect(Collectors.toList());
List<String> bySalaryDesc = personList.stream()
.sorted(Comparator.comparing(Person::getSalary).reversed())
.map(Person::getName)
.collect(Collectors.toList());3.8 Extraction and Combination
String[] a1 = {"a","b","c","d"};
String[] a2 = {"d","e","f","g"};
List<String> merged = Stream.concat(Stream.of(a1), Stream.of(a2))
.distinct()
.collect(Collectors.toList());
List<Integer> limited = Stream.iterate(1, x -> x + 2).limit(10).collect(Collectors.toList());
List<Integer> skipped = Stream.iterate(1, x -> x + 2).skip(1).limit(5).collect(Collectors.toList());4. Stream Source Code Analysis
The source code of the Stream API will be explored in future articles.
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
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