What is Thread Safety?

Defining thread safety is surprisingly tricky. The more formal attempts are so complicated as to offer little practical guidance or intuitive understanding, and the rest are informal descriptions that can seem downright circular. A quick Google search turns up numerous "definitions" like these:

. . . can be called from multiple program threads without unwanted interactions between the threads.

. . .may be called by more than one thread at a time without requiring any other action on the caller's part.

Given definitions like these, it's no wonder we find thread safety confusing! They sound suspiciously like "a class is thread-safe if it can be used safely from multiple threads." You can't really argue with such a statement, but it doesn't offer much practical help either. How do we tell a thread-safe class from an unsafe one? What do we even mean by "safe"?

At the heart of any reasonable definition of thread safety is the concept of correctness. If our definition of thread safety is fuzzy, it is because we lack a clear definition of correctness.

Correctness means that a class conforms to its specification. A good specification defines invariants constraining an object's state and postconditions describing the effects of its operations. Since we often don't write adequate specifications for our classes, how can we possibly know they are correct? We can't, but that doesn't stop us from using them anyway once we've convinced ourselves that "the code works". This "code confidence" is about as close as many of us get to correctness, so let's just assume that single-threaded correctness is something that "we know it when we see it". Having optimistically defined "correctness" as something that can be recognized, we can now define thread safety in a somewhat less circular way: a class is thread-safe when it continues to behave correctly when accessed from multiple threads.

A class is thread-safe if it behaves correctly when accessed from multiple threads, regardless of the scheduling or interleaving of the execution of those threads by the runtime environment, and with no additional synchronization or other coordination on the part of the calling code.

Since any single-threaded program is also a valid multithreaded program, it cannot be thread-safe if it is not even correct in a single-threaded environment. [2] If an object is correctly implemented, no sequence of operationscalls to public methods and reads or writes of public fieldsshould be able to violate any of its invariants or postconditions. No set of operations performed sequentially or concurrently on instances of a thread-safe class can cause an instance to be in an invalid state.

[2] If the loose use of "correctness" here bothers you, you may prefer to think of a thread-safe class as one that is no more broken in a concurrent environment than in a single-threaded environment.

Thread-safe classes encapsulate any needed synchronization so that clients need not provide their own.


2.1.1. Example: A Stateless Servlet

In Chapter 1, we listed a number of frameworks that create threads and call your components from those threads, leaving you with the responsibility of making your components thread-safe. Very often, thread-safety requirements stem not from a decision to use threads directly but from a decision to use a facility like the Servlets framework. We're going to develop a simple examplea servlet-based factorization serviceand slowly extend it to add features while preserving its thread safety.

Listing 2.1 shows our simple factorization servlet. It unpacks the number to be factored from the servlet request, factors it, and packages the results into the servlet response.

Listing 2.1. A Stateless Servlet.

public class StatelessFactorizer implements Servlet {
 public void service(ServletRequest req, ServletResponse resp) {
 BigInteger i = extractFromRequest(req);
 BigInteger[] factors = factor(i);
 encodeIntoResponse(resp, factors);

StatelessFactorizer is, like most servlets, stateless: it has no fields and references no fields from other classes. The transient state for a particular computation exists solely in local variables that are stored on the thread's stack and are accessible only to the executing thread. One thread accessing a StatelessFactorizer cannot influence the result of another thread accessing the same StatelessFactorizer; because the two threads do not share state, it is as if they were accessing different instances. Since the actions of a thread accessing a stateless object cannot affect the correctness of operations in other threads, stateless objects are thread-safe.

Stateless objects are always thread-safe.

The fact that most servlets can be implemented with no state greatly reduces the burden of making servlets thread-safe. It is only when servlets want to remember things from one request to another that the thread safety requirement becomes an issue.



Part I: Fundamentals

Thread Safety

Sharing Objects

Composing Objects

Building Blocks

Part II: Structuring Concurrent Applications

Task Execution

Cancellation and Shutdown

Applying Thread Pools

GUI Applications

Part III: Liveness, Performance, and Testing

Avoiding Liveness Hazards

Performance and Scalability

Testing Concurrent Programs

Part IV: Advanced Topics

Explicit Locks

Building Custom Synchronizers

Atomic Variables and Nonblocking Synchronization

The Java Memory Model

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Java Concurrency in Practice
Java Concurrency in Practice
ISBN: 0321349601
EAN: 2147483647
Year: 2004
Pages: 141
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