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The usual way of initializing a sub-object is to use a constructor. Sometimes it is required to limit the number of instances of the sub-object to just one (this is similar to a singleton, however, the sub-object may or may not be static). In addition, a technique called lazy initialization is used to defer the construction of the sub-object until it is actually required.

For these purposes, instead of a constructor, a class or an instance method should be used for initialization, depending on whether the sub-object is static or not. The method checks whether the instance has already been created and if not, creates it. If the instance already exists, it simply returns it. This is shown below:

// Correct single threaded version using lazy initialization
class Foo { 
  private Helper helper = null;
  
  public Helper getHelper() {
    if (helper == null) {
      helper = new Helper();
    }
    return helper;
  }
  // ...
}

In a multi-threading scenario, the initialization must be synchronized so that two or more threads do not create multiple instances of the sub-object. The code shown below is correctly synchronized, albeit slower than the previous, single threaded code example.

// Correct multithreaded version using synchronization
class Foo { 
  private Helper helper = null;
  
  public synchronized Helper getHelper() {
    if (helper == null) {
      helper = new Helper();
    }
    return helper;
  }
  // Other functions and members...
}

The double checked locking (DCL) idiom is sometimes used to provide lazy initialization in multithreaded code. In a multi-threading scenario, lazy initialization is supplemented by reducing the cost of synchronization on each method access by limiting the synchronization to the case where the instance is to be created and forgoing it when retrieving an already created instance.

The double-checked locking pattern eliminates method synchronization and uses block synchronization. It strives to make the previous code example faster by installing a null check before attempting to synchronize. This makes expensive synchronization dispensable for the common case of retrieving the value. The noncompliant code example shows the originally proposed DCL pattern.

According to the Java Memory Model (discussion reference) [[Pugh 04]]:

... writes that initialize the Helper object and the write to the helper field can be done or perceived out of order. As a result, a thread which invokes getHelper() could see a non-null reference to a helper object, but see the default values for fields of the helper object, rather than the values set in the constructor.

Even if the compiler does not reorder those writes, on a multiprocessor the processor or the memory system may reorder those writes, as perceived by a thread running on another processor.

This makes the originally proposed double-checked locking pattern insecure.

Noncompliant Code Example

This noncompliant code example uses the incorrect form of the double checked locking idiom.

// "Double-Checked Locking" idiom
class Foo { 
  private Helper helper = null;
  public Helper getHelper() {
    if (helper == null) { 
      synchronized(this) {
        if (helper == null) 
          helper = new Helper();
      }    
    }
    return helper;
  }
  // other functions and members...
}

Compliant Solution (volatile)

This compliant solution declares the Helper object as volatile.

// Works with acquire/release semantics for volatile
// Broken under JDK 1.4 and earlier
class Foo {
  private volatile Helper helper = null;
  
  public Helper getHelper() { 
    if (helper == null) {
      synchronized(this) {
        if (helper == null) {
          helper = new Helper(); // If the helper is null, create a new instance
        }
      }
    }
    return helper; // If helper is non-null, return its instance
  }
}

JDK 5.0 allows a write of a volatile variable to be reordered with respect to a previous read or write. A read of a volatile variable cannot be reordered with respect to any following read or write. Because of this, the double checked locking idiom can work when helper is declared volatile. If a thread initializes the Helper object, a happens-before relationship is established between this thread and another that retrieves and returns the instance. [[Pugh 04]] and [[Manson 04]]

Compliant Solution (static lazy initialization)

This compliant solution eagerly initializes the helper in the declaration of the static variable [[Manson 06]].

class Foo {
  static final Helper helper = new Helper();

  private Helper() {
    // ...
  }

  public static Helper getHelper() {
    return helper;
  }
}

Variables declared static are guaranteed to be initialized and made visible to other threads immediately. Static initializers also exhibit these properties. This approach should not be confused with eager initialization because in this case, the Java Language Specification guarantees lazy initialization of the class when it will be first used.

Compliant Solution (explicit static lazy initialization)

This compliant solution incorporates lazy initialization which makes it more productive. It also uses a static variable as suggested in the previous compliant solution. The variable is declared within a static inner, Holder class.

class Foo {
  static final Helper helper;

  // Lazy initialization 
  private static class Holder {
    static Helper helper = new Helper();
  }

  public static Helper getInstance() {
    return Holder.helper;
  }
}

This idiom is called the initialize-on-demand holder class idiom. Initialization of the Holder class is deferred until the getInstance() method is called, following which the helper is initialized. The only limitation of this method is that it works only for static fields and not instance fields. [[Bloch 01]]

Exceptions

EX1: Explicitly synchronized code (that uses method synchronization or proper block synchronization, that is, enclosing all initialization statements) does not require the use of double-checked locking.

EX2: "Although the double-checked locking idiom cannot be used for references to objects, it can work for 32-bit primitive values (e.g., int's or float's). Note that it does not work for long's or double's, since unsynchronized reads/writes of 64-bit primitives are not guaranteed to be atomic." [[Pugh 04]]. See [CON25-J. Ensure atomicity when reading and writing 64-bit values] for more Information.

Risk Assessment

Using incorrect forms of the double checked locking idiom can lead to synchronization issues.

Rule

Severity

Likelihood

Remediation Cost

Priority

Level

CON22- J

low

probable

medium

P4

L3

Automated Detection

TODO

Related Vulnerabilities

Search for vulnerabilities resulting from the violation of this rule on the CERT website.

References

[[API 06]]
[[Pugh 04]]
[[Bloch 01]] Item 48: "Synchronize access to shared mutable data"
[[MITRE 09]] CWE ID 609 "Double-Checked Locking"


CON21-J. Facilitate thread reuse by using Thread Pools      11. Concurrency (CON)      CON23-J. Address the shortcomings of the Singleton design pattern

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