Java 20 APIs & Features

Java 20 delivers significant improvements to concurrent programming and language features, introducing Scoped Values for better context management and refining Virtual Threads for enhanced performance. This release focuses on developer productivity, improved pattern matching capabilities, and advanced APIs for native interoperability and vector operations.

Released: March 2023
Standard Release

Java 20 Overview

Release Information

Release Date:

March 2023

Support Type:
Standard Release

Quick Summary

Java 20 delivers significant improvements to concurrent programming and language features, introducing Scoped Values for better context management and refining Virtual Threads for enhanced performance. This release focuses on developer productivity, improved pattern matching capabilities, and advanced APIs for native interoperability and vector operations.

Top Features

  • Virtual Threads (Second Preview) - Enhanced concurrent programming with Project Loom
  • Scoped Values (Incubator) - Improved context management for multi-threaded applications
  • Record Patterns (Second Preview) - Advanced pattern matching with record deconstruction
  • Pattern Matching for switch (Fourth Preview) - Refined switch expressions with patterns
  • Foreign Function & Memory API (Second Preview) - Safe native code interoperability
  • Vector API (Fourth Incubator) - SIMD operations for high-performance computing

API Examples

Scoped Values (Incubator)

Java 20 introduces Scoped Values as an incubator feature, providing a modern alternative to ThreadLocal for sharing context across method calls in multi-threaded applications. Scoped Values offer better performance, improved memory management, and clearer semantics for context propagation, making them ideal for frameworks and applications that need to pass context through call chains.

import java.util.concurrent.StructuredTaskScope;
import jdk.incubator.concurrent.ScopedValue;

// Define scoped values
public class UserContext {
    public static final ScopedValue<String> USER_ID = ScopedValue.newInstance();
    public static final ScopedValue<String> REQUEST_ID = ScopedValue.newInstance();
}

// Use scoped values
public void handleRequest(String userId, String requestId) {
    // Bind values to the scope
    ScopedValue.where(UserContext.USER_ID, userId)
        .where(UserContext.REQUEST_ID, requestId)
        .run(() -> {
            processRequest();
        });
}

private void processRequest() {
    // Access scoped values anywhere in the call stack
    String userId = UserContext.USER_ID.get();
    String requestId = UserContext.REQUEST_ID.get();
    
    System.out.println("Processing request " + requestId + " for user " + userId);
    
    // Call other methods - they can access the same values
    authenticateUser();
    logAction();
}

private void authenticateUser() {
    String userId = UserContext.USER_ID.get();
    System.out.println("Authenticating user: " + userId);
}

private void logAction() {
    String userId = UserContext.USER_ID.get();
    String requestId = UserContext.REQUEST_ID.get();
    System.out.println("Logging action for user " + userId + " request " + requestId);
}

Virtual Threads (Second Preview)

Java 20 continues the evolution of Virtual Threads with significant improvements to performance, debugging capabilities, and integration with existing frameworks. This preview feature demonstrates the future of concurrent programming in Java, enabling applications to handle millions of concurrent operations with minimal resource overhead and improved scalability.

import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.time.Duration;

// Enhanced virtual thread creation
Thread.ofVirtual()
    .name("worker-", 0)
    .start(() -> {
        System.out.println("Virtual thread: " + Thread.currentThread());
    });

// Virtual thread executor with improved performance
try (var executor = Executors.newVirtualThreadPerTaskExecutor()) {
    List<Future<String>> futures = new ArrayList<>();
    
    // Submit many tasks efficiently
    for (int i = 0; i < 10_000; i++) {
        final int taskId = i;
        Future<String> future = executor.submit(() -> {
            // Simulate I/O operation
            Thread.sleep(Duration.ofMillis(50));
            return "Task " + taskId + " completed";
        });
        futures.add(future);
    }
    
    // Collect results
    for (Future<String> future : futures) {
        System.out.println(future.get());
    }
}

// Virtual threads with structured concurrency
try (var scope = new StructuredTaskScope.ShutdownOnFailure()) {
    Future<String> user = scope.fork(() -> findUser("john"));
    Future<Integer> orderCount = scope.fork(() -> countOrders("john"));
    
    scope.join();
    scope.throwIfFailed();
    
    System.out.println("User: " + user.resultNow());
    System.out.println("Orders: " + orderCount.resultNow());
}

Pattern Matching for Switch (Fourth Preview)

Java 20 refines pattern matching for switch statements with improved syntax, better performance, and enhanced type safety. This preview feature enables more expressive switch expressions with pattern matching, making code more readable and eliminating the need for complex if-else chains while providing compile-time safety guarantees.

// Enhanced pattern matching in switch
public String processValue(Object value) {
    return switch (value) {
        case String s when s.length() > 10 -> "Long string: " + s;
        case String s -> "Short string: " + s;
        case Integer i when i > 0 -> "Positive integer: " + i;
        case Integer i when i < 0 -> "Negative integer: " + i;
        case Integer i -> "Zero";
        case List<?> list when list.isEmpty() -> "Empty list";
        case List<?> list -> "List with " + list.size() + " elements";
        case Map<?, ?> map when map.isEmpty() -> "Empty map";
        case Map<?, ?> map -> "Map with " + map.size() + " entries";
        case null -> "null value";
        default -> "Unknown type: " + value.getClass().getSimpleName();
    };
}

// Record patterns with enhanced matching
record Point(int x, int y) {}
record Circle(Point center, double radius) {}

public String describeShape(Object shape) {
    return switch (shape) {
        case Circle(Point center, double radius) when radius > 10 -> 
            "Large circle at (" + center.x() + "," + center.y() + ")";
        case Circle(Point center, double radius) -> 
            "Small circle at (" + center.x() + "," + center.y() + ")";
        case Point(int x, int y) when x == 0 && y == 0 -> "Origin point";
        case Point(int x, int y) -> "Point at (" + x + "," + y + ")";
        default -> "Unknown shape";
    };
}

Foreign Function & Memory API (Second Preview)

Java 20 introduces the Foreign Function & Memory API as a second preview feature, enabling safe and efficient access to native code and memory from Java. This feature replaces JNI for most use cases, making it easier to call C libraries, manage native memory, and build high-performance, cross-platform applications.

import java.foreign.MemorySegment;
import java.foreign.MemorySession;
import java.foreign.Linker;
import java.foreign.SymbolLookup;

// Allocate native memory
try (MemorySession session = MemorySession.openConfined()) {
    MemorySegment segment = session.allocate(100);
    // Use the segment for native operations
}

// Call a native function (e.g., strlen from libc)
Linker linker = Linker.nativeLinker();
SymbolLookup libc = SymbolLookup.loaderLookup();
var strlen = linker.downcallHandle(
    libc.lookup("strlen").get(),
    FunctionDescriptor.of(ValueLayout.JAVA_LONG, ValueLayout.ADDRESS)
);
long len = (long) strlen.invoke(MemorySegment.ofArray("hello".getBytes()));

Vector API (Fourth Incubator)

Java 20 introduces the Vector API as a fourth incubator feature, providing SIMD (Single Instruction, Multiple Data) operations for high-performance computing. This API enables developers to write vectorized code that can leverage CPU vector instructions, significantly improving performance for mathematical computations, data processing, and scientific applications.

import jdk.incubator.vector.*;

// Vector operations for high-performance computing
public class VectorExample {
    static final VectorSpecies<Float> SPECIES = FloatVector.SPECIES_PREFERRED;
    
    public static void vectorAdd(float[] a, float[] b, float[] c) {
        int i = 0;
        int upperBound = SPECIES.loopBound(a.length);
        
        for (; i < upperBound; i += SPECIES.length()) {
            FloatVector va = FloatVector.fromArray(SPECIES, a, i);
            FloatVector vb = FloatVector.fromArray(SPECIES, b, i);
            FloatVector vc = va.add(vb);
            vc.intoArray(c, i);
        }
        
        // Handle remaining elements
        for (; i < a.length; i++) {
            c[i] = a[i] + b[i];
        }
    }
    
    public static float vectorSum(float[] array) {
        FloatVector sum = FloatVector.zero(SPECIES);
        int i = 0;
        int upperBound = SPECIES.loopBound(array.length);
        
        for (; i < upperBound; i += SPECIES.length()) {
            FloatVector va = FloatVector.fromArray(SPECIES, array, i);
            sum = sum.add(va);
        }
        
        float result = sum.reduceLanes(VectorOperators.ADD);
        
        // Handle remaining elements
        for (; i < array.length; i++) {
            result += array[i];
        }
        
        return result;
    }
}