ReadWriteLock is a powerful tool in Java for managing concurrent access to resources, but developers often make several common mistakes when using it. Understanding these pitfalls can improve application performance and prevent subtle bugs.
// Example of common mistakes with ReadWriteLock
import java.util.concurrent.locks.ReentrantReadWriteLock;
public class ReadWriteLockExample {
private final ReentrantReadWriteLock lock = new ReentrantReadWriteLock();
private int value;
// Reading with read lock
public int read() {
lock.readLock().lock();
try {
return value;
} finally {
lock.readLock().unlock();
}
}
// Writing with write lock
public void write(int newValue) {
lock.writeLock().lock();
try {
// Common mistake: Not checking for read locks, leading to deadlock
// This can occur if a read lock is held while trying to acquire the write lock
value = newValue;
} finally {
lock.writeLock().unlock();
}
}
}
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?