Thread Safety Issues with Vector and Hashtable

Considered legacy since Java 1.2 (1998), Vector and Hashtable remain prevalent in many Java applications. A common belief is that their synchronised methods render them inherently thread-safe. However, this assumption can lead to subtle concurrency problems that are often overlooked.

Have you encountered unexpected exceptions when iterating over a Vector in a multi-threaded environment? Let’s delve into why this happens and how to address it.

The Misconception of Thread Safety

Both Vector and Hashtable synchronise individual method calls, leading many developers to assume that these classes are safe to use concurrently without additional synchronisation. While each method is thread-safe, combining multiple method calls can introduce race conditions if not properly managed.

Are Iterators Thread-Safe?

The Iterator is not thread-safe for most collections, including Vector. Iterators are designed to fail fast by throwing a ConcurrentModificationException when they detect concurrent modifications. However, this detection is not guaranteed, as the modification counter is not marked as volatile. This means that changes made in one thread might not be immediately visible to the iterator in another thread.

Here’s a summary of iterator behaviours across different collections:

Collection Iterator Behaviour
ArrayList, LinkedList, TreeSet Typically throw a ConcurrentModificationException when modified concurrently.
CopyOnWriteArrayList, CopyOnWriteArraySet Provide a consistent snapshot of the collection at the time of iterator creation.
ArrayBlockingQueue, LinkedBlockingQueue Iterators are weakly consistent and do not throw exceptions on concurrent modifications.
PriorityQueue Iterators are weakly consistent; the collection is sorted, but the iterator may not reflect the current sorted state.

Is Enumeration Thread-Safe?

Vector provides an Enumeration via the elements() method. Each method of Enumeration, such as hasMoreElements() and nextElement(), is synchronised. At first glance, this might suggest that iterating over a Vector using Enumeration is thread-safe. However, the reality is more nuanced.

Consider the following code snippet:

Vector<Integer> ints = new Vector<>();
ints.add(1);
ints.add(2);
Enumeration<Integer> en = ints.elements();
int count = 0;
while (en.hasMoreElements()) {
    // Simulate another thread modifying the collection.
    if (count++ == 1) ints.remove(0);
    System.out.println(en.nextElement());
}

In this example, after the first iteration, the call to ints.remove(0); modifies the Vector. Because hasMoreElements() and nextElement() are separate synchronised methods, another thread can alter the collection between these calls. This can lead to a NoSuchElementException when nextElement() is called, as the expected element may no longer be present.

Making Enumeration Thread-Safe

To ensure thread safety during iteration, you need to lock the collection for the entire duration of the enumeration. This prevents other threads from modifying the collection while it’s being iterated. Here’s how you can modify the previous example:

Vector<Integer> ints = new Vector<>();
ints.add(1);
ints.add(2);
synchronized (ints) {
    Enumeration<Integer> en = ints.elements();
    while (en.hasMoreElements()) {
        // Other threads cannot modify 'ints' while it's locked.
        System.out.println(en.nextElement());
    }
}

By synchronising on the Vector itself, we ensure that no other thread can enter any synchronised methods on the same object until the block is exited. This approach effectively serialises access to the collection during iteration.

Alternatives to Vector and Hashtable

Modern Java provides several concurrent collection classes in the java.util.concurrent package designed for high concurrency and thread safety. For instance, ConcurrentHashMap and CopyOnWriteArrayList perform better in multi-threaded environments without external synchronisation during iteration.

Conclusion

Synchronisation at the method level does not guarantee thread safety when combined methods are used. When working with collections like Vector and Hashtable, it’s crucial to understand that thread safety requires careful coordination of multiple method calls. Locking the collection during iteration is one way to prevent concurrent modifications and ensure consistent behaviour, but it may not be the most efficient solution.

Consider reviewing your codebase: Are there places where you rely on Vector or Hashtable for thread safety? It might be time to refactor these parts using modern concurrent collections that provide better performance and scalability.

Key Takeaways

  • Do not assume synchronized methods make a class thread-safe in all contexts.
  • Iterators and enumerations may not be thread-safe when used across multiple methods.
  • Synchronise the collection during iteration to prevent concurrent modifications.
  • Be mindful of the performance implications of locking collections.
  • Consider using concurrent collection classes designed for multi-threaded environments.

Further Reading

  • Concurrency in Java - Oracle’s official tutorial on concurrency, covering threads, synchronisation, and thread safety in Java.
  • Java Concurrency in Practice by Brian Goetz - An in-depth guide to writing reliable and high-performance concurrent applications in Java.
  • Effective Java, Third Edition by Joshua Bloch - This book provides best practices for coding in Java, including a chapter dedicated to concurrency.
  • Java Collections Framework - Official documentation on Java’s collection classes, including details about synchronised collections and alternatives.
  • The Java Memory Model - Understanding the Java Memory Model is crucial for writing correct concurrent programs.
  • Java Specialist Newsletter - A resource with articles on advanced Java topics, including concurrency issues and best practices.

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