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.
Stream can 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
list = Arrays.asList("a", "b", "c");
Stream
stream = list.stream();
Stream
parallel = list.parallelStream();
Stream
s = Stream.of(1,2,3);
Stream
s2 = Stream.iterate(0, x -> x + 3).limit(4);
Stream
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
list = Arrays.asList(7,6,9,3,8,2,1);
list.stream().filter(x -> x > 6).forEach(System.out::println);
Optional
first = list.stream().filter(x -> x > 6).findFirst();
Optional
any = list.parallelStream().filter(x -> x > 6).findAny();
boolean anyMatch = list.stream().anyMatch(x -> x < 6);3.2 Filtering
List
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
highEarners = personList.stream()
.filter(p -> p.getSalary() > 8000)
.map(Person::getName)
.collect(Collectors.toList());3.3 Aggregation
List
list = Arrays.asList(1,3,2,8,11,4);
Optional
sum = list.stream().reduce(Integer::sum);
Optional
product = list.stream().reduce((x,y) -> x * y);
Optional
max = list.stream().reduce(Integer::max);3.4 Mapping
String[] arr = {"abcd","bcdd","defde","fTr"};
List
upper = Arrays.stream(arr)
.map(String::toUpperCase)
.collect(Collectors.toList());3.5 Reduction
List
list = Arrays.asList(1,3,2,8,11,4);
Optional
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
evens = list.stream().filter(x -> x % 2 == 0).collect(Collectors.toList());
Set
evenSet = list.stream().filter(x -> x % 2 == 0).collect(Collectors.toSet());
Map
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
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
> byHighSalary = personList.stream()
.collect(Collectors.partitioningBy(p -> p.getSalary() > 8000));
Map
> bySex = personList.stream()
.collect(Collectors.groupingBy(Person::getSex));
Map
>> 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
bySalary = personList.stream()
.sorted(Comparator.comparing(Person::getSalary))
.map(Person::getName)
.collect(Collectors.toList());
List
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
merged = Stream.concat(Stream.of(a1), Stream.of(a2))
.distinct()
.collect(Collectors.toList());
List
limited = Stream.iterate(1, x -> x + 2).limit(10).collect(Collectors.toList());
List
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.
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