A comprehensive guide to all Java 20 concepts with practical examples for interview preparation.
- Scoped Values (Incubator)
- Record Patterns (Second Preview)
- Pattern Matching for switch (Fifth Preview)
- Foreign Function & Memory API (Fifth Incubator)
- Vector API (Fifth Incubator)
- Structured Concurrency (Second Incubator)
- Virtual Threads (Second Preview)
- Common Interview Questions
Immutable thread-local data sharing mechanism.
import jdk.incubator.concurrent.ScopedValue;
// Define scoped value
final ScopedValue<String> USER = ScopedValue.newInstance();
// Set value in scope
ScopedValue.runWhere(USER, "Alice", () -> {
// Access value
String user = USER.get();
System.out.println("User: " + user);
// Nested scope
ScopedValue.runWhere(USER, "Bob", () -> {
System.out.println("User: " + USER.get()); // Bob
});
System.out.println("User: " + USER.get()); // Alice (back to outer scope)
});
// With virtual threads
try (ExecutorService executor = Executors.newVirtualThreadPerTaskExecutor()) {
ScopedValue.runWhere(USER, "Charlie", () -> {
executor.submit(() -> {
System.out.println("User: " + USER.get()); // Charlie inherited
});
});
}- Immutable: Better safety (cannot be modified)
- Inherited: Automatically inherited by child threads (virtual threads)
- More efficient: Better performance than ThreadLocal
- Structured scoping: Clear scope boundaries
- No memory leaks: Automatic cleanup when scope ends
- Request context in web applications
- User authentication context
- Transaction context
- Request tracing
- Configuration per request
Note: Requires --add-modules jdk.incubator.concurrent flag. See ScopedValues.java for complete examples.
Refinements to record patterns with improved destructuring.
Record patterns allow you to destructure record values directly in pattern matching, making code more concise and readable.
record Point(int x, int y) {}
record Rectangle(Point topLeft, Point bottomRight) {}
// Pattern matching with records
Object obj = new Point(5, 10);
if (obj instanceof Point(int x, int y)) {
System.out.println("X: " + x + ", Y: " + y);
}
// Nested patterns
Rectangle rect = new Rectangle(new Point(0, 0), new Point(10, 10));
if (rect instanceof Rectangle(Point(int x1, int y1), Point(int x2, int y2))) {
System.out.println("Width: " + (x2 - x1) + ", Height: " + (y2 - y1));
}
// In switch
String result = switch (obj) {
case Point(int x, int y) when x > 0 && y > 0 ->
"Positive: (" + x + ", " + y + ")";
case Point(int x, int y) ->
"Other: (" + x + ", " + y + ")";
default -> "Not a point";
};- Destructuring records directly
- More concise code
- Type-safe pattern matching
- Nested pattern support
- Works with guarded patterns
Note: Requires --enable-preview flag. See RecordPatterns.java for complete examples.
Continued refinements to pattern matching in switch expressions.
Pattern matching for switch continues to be refined, providing more powerful and concise code for type-based switching.
// Enhanced pattern matching
String result = switch (obj) {
case String s when s.length() > 10 -> "Long: " + s;
case String s -> "Short: " + s;
case Integer i when i > 100 -> "Large: " + i;
case Integer i -> "Small: " + i;
case null -> "Null";
default -> "Unknown";
};sealed interface Shape permits Circle, Rectangle, Triangle {}
Shape shape = new Circle(5.0);
double area = switch (shape) {
case Circle c -> Math.PI * c.radius() * c.radius();
case Rectangle r -> r.width() * r.height();
case Triangle t -> 0.5 * t.base() * t.height();
// No default needed - exhaustive matching
};Object value = "Hello World";
String result = switch (value) {
case String s when s.length() > 10 -> "Long string: " + s;
case String s -> "Short string: " + s;
case Integer i when i > 100 -> "Large number: " + i;
case Integer i -> "Small number: " + i;
default -> "Unknown";
};- More concise code
- Exhaustive pattern matching
- Type-safe operations
- Better readability
Note: Requires --enable-preview flag. See PatternMatchingSwitch.java for complete examples.
Continued improvements to Foreign Function & Memory API.
The Foreign Function & Memory API provides a way to call native code and access off-heap memory safely and efficiently.
import jdk.incubator.foreign.*;
// Allocate native memory
try (Arena arena = Arena.ofConfined()) {
MemorySegment segment = arena.allocate(100);
// Write to memory
segment.set(ValueLayout.JAVA_INT, 0, 42);
// Read from memory
int value = segment.get(ValueLayout.JAVA_INT, 0);
System.out.println("Value: " + value);
}
// Memory automatically freed when arena is closed- Safe memory access (bounds checking)
- Automatic resource management
- Type-safe operations
- Native function calls
- Interfacing with native libraries
- High-performance memory operations
- System-level programming
- Zero-copy operations
Note: Requires --add-modules jdk.incubator.foreign and --enable-preview flags.
Continued refinements to Vector API for SIMD operations.
The Vector API provides SIMD-style operations for parallel processing of arrays, with hardware-optimized computations.
import jdk.incubator.vector.*;
VectorSpecies<Float> species = FloatVector.SPECIES_PREFERRED;
float[] a = {1.0f, 2.0f, 3.0f, 4.0f};
float[] b = {5.0f, 6.0f, 7.0f, 8.0f};
float[] c = new float[4];
FloatVector va = FloatVector.fromArray(species, a, 0);
FloatVector vb = FloatVector.fromArray(species, b, 0);
FloatVector vc = va.add(vb);
vc.intoArray(c, 0);
// Result: c = [6.0f, 8.0f, 10.0f, 12.0f]- Hardware-agnostic API
- Automatic optimization
- Type-safe operations
- SIMD operations
- Scientific computing
- Machine learning
- Image processing
- Signal processing
- Numerical simulations
Note: Requires --add-modules jdk.incubator.vector and --enable-preview flags.
Refinements to structured concurrency with improved task coordination.
Structured Concurrency simplifies multithreaded programming by treating groups of tasks as a single unit of work.
import jdk.incubator.concurrent.StructuredTaskScope;
try (var scope = new StructuredTaskScope.ShutdownOnFailure()) {
Future<String> user = scope.fork(() -> fetchUser());
Future<String> order = scope.fork(() -> fetchOrder());
scope.join(); // Wait for all tasks
scope.throwIfFailed(); // Throw if any failed
// Use results
String userResult = user.resultNow();
String orderResult = order.resultNow();
}
// Automatic cleanup if any task fails- Automatic cancellation of subtasks
- Exception propagation
- Better error handling
- Structured lifecycle
- Improved observability
- Parallel API calls
- Concurrent data fetching
- Task coordination
- Error handling in concurrent code
Note: Requires --add-modules jdk.incubator.concurrent and --enable-preview flags. See StructuredConcurrencyDemo.java for complete examples.
Refinements to virtual threads with improved performance and features.
Virtual threads are lightweight threads managed by the JVM, perfect for high-throughput concurrent applications.
import java.util.concurrent.Executors;
import java.util.concurrent.ExecutorService;
// Create virtual thread
Thread virtualThread = Thread.ofVirtual().start(() -> {
System.out.println("Running on virtual thread");
});
// Using executor
try (ExecutorService executor = Executors.newVirtualThreadPerTaskExecutor()) {
for (int i = 0; i < 1000; i++) {
executor.submit(() -> {
// I/O operation
Thread.sleep(100);
});
}
}
// Can handle millions of concurrent operations- Lightweight: Millions can be created
- Managed by JVM: Not OS threads
- Blocking operations: Don't block OS thread
- Perfect for I/O: Ideal for I/O-bound operations
- High-throughput servers
- I/O-bound applications
- Microservices
- Concurrent request handling
- Async operations
Note: Requires --enable-preview flag. See VirtualThreadsDemo.java for complete examples.
A:
- Scoped Values: Immutable, inherited by child threads, structured scoping
- ThreadLocal: Mutable, not inherited, less efficient
- Scoped Values are better for virtual threads
A:
- Scoped Values: Immutable, inherited, more efficient
- ThreadLocal: Mutable, not inherited, traditional approach
Last Updated: 2024
Version: 1.0