Managing native memory safely in Java involves using off-heap memory allocation techniques while ensuring proper memory management to avoid memory leaks and crashes. Java Virtual Machine (JVM) typically manages memory on the heap, but applications that require high performance or need to interface with native libraries may utilize native memory. Below are some strategies for safe native memory management in Java:
// Example of allocating and using Direct Byte Buffer
import java.nio.ByteBuffer;
public class NativeMemoryExample {
public static void main(String[] args) {
// Allocate native memory
ByteBuffer buffer = ByteBuffer.allocateDirect(1024);
// Use the buffer
buffer.put((byte) 1);
buffer.put((byte) 2);
// Accessing data
System.out.println(buffer.get(0)); // Prints 1
// Clean up when done (optional, JVM will clean up eventually)
// buffer.clear(); // As there's no explicit deallocation in DirectByteBuffer
}
}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?