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Milliseid võtteid teate niitide võidu võitlemiseks, välja arvatud volatile võtmesõna kasutamine?

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There are several main approaches to thread synchronization and race condition prevention in Android, besides volatile.

  1. Using synchronized: Locks access to code or methods for other threads until the current thread finishes.

    // Synchronized method
    synchronized void incrementCounter() {
        counter++;
    }
    
    // Synchronized block
    void updateData() {
        synchronized (this) { // or another monitor object
            // code requiring synchronization
        }
    }
    
  2. Using classes from java.util.concurrent.locks package: Provide more flexible locking mechanisms than synchronized.

    import java.util.concurrent.locks.ReentrantLock;
    
    private final ReentrantLock lock = new ReentrantLock();
    
    void performLockedOperation() {
        lock.lock(); // Acquire lock
        try {
            // code protected by lock
        } finally {
            lock.unlock(); // Release lock
        }
    }
    
  3. Using classes from java.util.concurrent.atomic package: Provide atomic operations that execute as a whole without interruption by other threads. Suitable for simple operations on primitive types and references.

    import java.util.concurrent.atomic.AtomicInteger;
    
    private final AtomicInteger atomicCounter = new AtomicInteger(0);
    
    void incrementAtomicCounter() {
        atomicCounter.incrementAndGet(); // Atomic increment
    }
    
  4. Using thread-safe collections: Collections from java.util.concurrent package (e.g., ConcurrentHashMap, CopyOnWriteArrayList) are designed for safe use in multithreaded environments without explicit synchronization from the developer.

    import java.util.concurrent.ConcurrentHashMap;
    import java.util.Map;
    
    private final Map<String, Integer> concurrentMap = new ConcurrentHashMap<>();
    
    void updateMap(String key, Integer value) {
        concurrentMap.put(key, value); // Safe write operation
    }
    
  5. Using ThreadLocal: Allows creating a variable that has a separate copy for each thread. Thus, each thread works with its own data, avoiding race conditions.

    private final ThreadLocal<Integer> threadLocalValue = new ThreadLocal<Integer>() {
        @Override
        protected Integer initialValue() {
            return 0; // Initial value for each thread
        }
    };
    
    void processData() {
        int value = threadLocalValue.get();
        value++;
        threadLocalValue.set(value); // Set value for current thread
    }
    

The choice of method depends on the specifics of the task, locking needs, data type, and required performance.