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To avoid data corruption in multithreaded Java programs, one has to protect the data that is shared between multiple threads as described in detail in CON30-J. Synchronize access to shared mutable variables. This can be done shared data must be protected from concurrent modifications and accesses. Locking can be performed at the object level by using synchronized blocks (coarse-grained locking), thus locking out other threads from interfering. If synchronization is used judiciously, (See CON00-J. Use synchronization judiciously) deadlocks do not usually crop up.

If however, one follows a fine-grained locking approach by using member locks, deadlocks can still arise unless it is ensured that each and every thread always requests locks in the same order.

Noncompliant Code Example

methods, synchronized blocks, or the java.util.concurrent dynamic lock objects. However, excessive use of locking can result in deadlocks.

Java neither prevents deadlocks nor requires their detection [JLS 2015]. Deadlock can occur when two or more threads request and release locks in different orders. Consequently, programs are required to avoid deadlock by acquiring and releasing locks in the same order.

Additionally, synchronization should be limited to cases where it is absolutely necessary. For example, the paint(), dispose(), stop(), and destroy() methods should never be synchronized in an applet because they are always called and used from dedicated threads. Furthermore, the Thread.stop() and Thread.destroy() methods are deprecated (see THI05-J. Do not use Thread.stop() to terminate threads for more information).

This rule also applies to programs that need to work with a limited set of resources. For example, liveness issues can arise when two or more threads are waiting for each other to release resources such as database connections. These issues can be resolved by letting each waiting thread retry the operation at random intervals until they successfully acquire the resource.

Noncompliant Code Example (Different Lock Orders)

This noncompliant code example can deadlock because of excessive synchronization. The balanceAmount field represents the total balance available for a particular BankAccount object. Users are allowed to initiate an operation that atomically transfers a specified amount from one account to anotherIn this noncompliant code example, a deadlock occurs if the transfer method acquires the monitors in decreasing numeric order, while the sumHelper method uses an increasing numeric order to acquire its locks.

class Stocks implements FundConstantsfinal class BankAccount {
  private double balanceAmount;  // Total amount in bank account

  BankAccount(double balance) {
  static int[] balances this.balanceAmount = new int[noOfStocks];balance;
  }

  static Object[] locks = new Object[noOfStocks];
  static
  // Deposits the amount from this object instance
  // to BankAccount instance argument ba
  private void depositAmount(BankAccount ba, double amount) {
    forsynchronized (int n=0; n<noOfStocks; n++this) {
      synchronized (ba) {
      balances[n] = 10000;
  if (amount > balanceAmount) {
         locks[n] =throw new Object()IllegalArgumentException(
               "Transfer cannot be completed"
          );
        }
        ba.balanceAmount += amount;
        this.balanceAmount -= amount;
      }
    }
  }

  public static void initiateTransfer(final BankAccount first,
    final BankAccount second, final double amount) {

    Thread transfer(Transfer t = new Thread(new Runnable() {
        public void run() {
    int lo, hi      first.depositAmount(second, amount);
        }
    });
    if (t.fundFrom > transfer.start();
  }
}

Objects of this class are prone to deadlock. An attacker who has two bank accounts can construct two threads that initiate balance transfers from two different BankAccount object instances a and b. For example, consider the following code:

BankAccount a = new BankAccount(5000);
BankAccount b = new BankAccount(6000);
BankAccount.initiateTransfer(a, b, 1000); // starts thread 1
BankAccount.initiateTransfer(b, a, 1000); // starts thread 2

Each transfer is performed in its own thread. The first thread atomically transfers the amount from a to b by depositing it in account b and then withdrawing the same amount from a. The second thread performs the reverse operation; that is, it transfers the amount from b to a. When executing depositAmount(), the first thread acquires a lock on object a. The second thread could acquire a lock on object b before the first thread can. Subsequently, the first thread would request a lock on b, which is already held by the second thread. The second thread would request a lock on a, which is already held by the first thread. This constitutes a deadlock condition because neither thread can proceed.

This noncompliant code example may or may not deadlock, depending on the scheduling details of the platform. Deadlock occurs when (1) two threads request the same two locks in different orders, and (2) each thread obtains a lock that prevents the other thread from completing its transfer. Deadlock is avoided when two threads request the same two locks but one thread completes its transfer before the other thread begins. Similarly, deadlock is avoided if the two threads request the same two locks in the same order (which would happen if they both transfer money from one account to a second account) or if two transfers involving distinct accounts occur concurrently.

Compliant Solution (Private Static Final Lock Object)

This compliant solution avoids deadlock by synchronizing on a private static final lock object before performing any account transfers:

final class BankAccount {
  private double balanceAmount;  // Total amount in bank account
  private static final Object lock = new Object();

  BankAccount(double balance) {
    this.balanceAmount = balance;
  }

  // Deposits the amount from this object instance
  // to BankAccount instance argument ba
  private void depositAmount(BankAccount ba, double amount) {
    synchronized (lock) {
      if (amount > balanceAmount) {
        throw new IllegalArgumentException(
            "Transfer cannot be completed");
      }
      ba.balanceAmount += amountt.fundTo) {// acquires the monitors in decreasing numeric order
      lo = t.fundFrom;
      hi = t.fundTo;
     } else {
      lo = t.fundTo;
      hithis.balanceAmount -= t.fundFromamount;
    }
  }

  public static void initiateTransfer(final BankAccount first,
     synchronized (locks[lo]final BankAccount second, final double amount) {

    Thread transfer = new Thread(new Runnable() {
        @Override synchronizedpublic void run(locks[hi]) {
         balances[t.fundFrom] -= t.amount;
         balances[t.fundTo] += t.amount first.depositAmount(second, amount);
        }
    });
    transfer.start();
  }
}

In this scenario, deadlock cannot occur when two threads with two different BankAccount objects try to transfer to each other's accounts simultaneously. One thread will acquire the private lock, complete its transfer, and release the lock before the other thread can proceed.

This solution imposes a performance penalty because a private static lock restricts the system to performing transfers sequentially. Two transfers involving four distinct accounts (with distinct target accounts) cannot be performed concurrently. This penalty increases considerably as the number of BankAccount objects increase. Consequently, this solution fails to scale well.

Compliant Solution (Ordered Locks)

This compliant solution ensures that multiple locks are acquired and released in the same order. It requires a consistent ordering over BankAccount objects. Consequently, the BankAccount class implements the java.lang.Comparable interface and overrides the compareTo() method.

final class BankAccount implements Comparable<BankAccount> {
  private double balanceAmount;  // Total amount in bank account
  private final Object lock;

  private final long id; // Unique for each BankAccount
  private static final AtomicLong nextID = new AtomicLong(0); // Next unused ID

  BankAccount(double balance) {
    this.balanceAmount = balance;
    this.lock = new Object();
    this.id = nextID.getAndIncrement();
  }

  @Override public int compareTo(BankAccount ba) }
    }

  static int sumHelper (int next) {{
     return (this.id > ba.id) ? 1 : (this.id < ba.id) ? -1 : 0;
  }

  // Deposits the amount from this object instance
  // to BankAccount instance argument ba
  public void depositAmount(BankAccount ba, double amount) {
    BankAccount former, latter;
    synchronizedif (locks[next]) {compareTo(ba) < 0) {
      former = this;
      latter = ba;
    }  if (next == (noOfStocks-1)) {else {
      former = ba;
      latter = this;
    }
    synchronized (former) {
      synchronized (latter) {
        if (amount > balanceAmount) {
          throw new IllegalArgumentException(
        return balances[next];
      "Transfer cannot be completed");
        } else {
        ba.balanceAmount += amount;
       return balances[next] + sumHelper(next+1) this.balanceAmount -= amount;
      }
    }
  }

  public static void checkSystem(initiateTransfer(final BankAccount first,
    final BankAccount second, final double amount) {

    intThread actualtransfer = 0;
new Thread(new Runnable() {
        @Override actualpublic =void sumHelperrun(0);
 {
         System.out.println("Actual balance is" + actual first.depositAmount(second, amount);
        }
    });
    transfer.start();
  }
}

Compliant Solution

To implement a fine-grained locking strategy, request a separate lock for each position in the balances array. Since one cannot lock on primitive types, a direct lock on the items in the balances array cannot be obtained. Instead, one has to create an array of Object (locks).

Whenever a transfer occurs, the two BankAccount objects are ordered so that the first object's lock is acquired before the second object's lock. When two threads attempt transfers between the same two accounts, they each try to acquire the first account's lock before acquiring the second account's lock. Consequently, one thread acquires both locks, completes the transfer, and releases both locks before the other thread can proceed.

Unlike the previous compliant solution, this solution permits multiple concurrent transfers as long as the transfers involve distinct accounts.

Compliant Solution (ReentrantLock)

In this compliant solution, each BankAccount has a java.util.concurrent.locks.ReentrantLock. This design permits the depositAmount() method to attempt to acquire the locks of both accounts, to release the locks if it fails, and to try again later if necessaryThis compliant solution avoids deadlocks because every thread requests monitors in the same order and thus the locks are acquired (and released) correctly.

class Stocks implements FundConstants {
  static int[] balancesfinal class BankAccount {
  private double balanceAmount;  // Total amount in bank account
  private final Lock lock = new int[noOfStocks]ReentrantLock();
  private staticfinal Object[]Random locksnumber = new Object[noOfStocks];
  
  static
  {
     for (int n=0; n<noOfStocks; n++)  Random(123L);

  BankAccount(double balance) {
    this.balanceAmount = balance;
  }

  // Deposits amount from this object instance
  // to BankAccount instance argument ba
  private void depositAmount(BankAccount ba, double amount)
                             throws InterruptedException {
    while (true) {
      if (this.lock.tryLock()) {
        try {
          if (ba.lock.tryLock()) {
            try {
              if (amount > balanceAmount) {
                throw new IllegalArgumentException(
                    "Transfer cannot be completed");
              }
              ba.balanceAmount += amount;
              this.balanceAmount -= amount;
              break;
            } finally {
              ba.lock.unlock();
            }
          }
        } finally {
       balances[n] = 10000   this.lock.unlock();
        }
      }
      int n = number.nextInt(1000);
       locks[n] = new Object(int TIME = 1000 + n; // 1 second + random delay to prevent livelock
      Thread.sleep(TIME);
     }
  }

  public static void initiateTransfer(final BankAccount first,
    final BankAccount second, final double amount) {

    Thread transfer(Transfer t = new Thread(new Runnable() {
        public void run() {
    int lo, hi;      try {
            first.depositAmount(second, amount);
          } catch (InterruptedException e) {
            Thread.currentThread().interrupt(); // Reset interrupted status
          }
        }
    });
    transfer.start();
  }
}

Deadlock is impossible in this compliant solution because locks are never held indefinitely. If the current object's lock is acquired but the second lock is unavailable, the first lock is released and the thread sleeps for some specified amount of time before attempting to reacquire the lock.

Code that uses this locking strategy has behavior similar to that of synchronized code that uses the traditional monitor lock. ReentrantLock also provides several other capabilities. For example, the tryLock() method immediately returns false when another thread already holds the lock. Further, the java.util.concurrent.locks.ReentrantReadWriteLock class has multiple-readers/single-writer semantics and is useful when some threads require a lock to write information while other threads require the lock to concurrently read the information.

Noncompliant Code Example (Different Lock Orders, Recursive)

The following immutable WebRequest class encapsulates a web request received by a server:

// Immutable WebRequest
public final class WebRequest {
  private final long bandwidth;
  private final long responseTime;

  public WebRequest(long bandwidth, long responseTime) {
    this.bandwidth = bandwidth;
    this.responseTime = responseTime;
  }

  public long getBandwidth() {
    return bandwidth;
  }

  public long getResponseTime() {
    return responseTime;
  }
}

Each request has a response time associated with it, along with a measurement of the network bandwidth required to fulfill the request.

This noncompliant code example monitors web requests and provides routines for calculating the average bandwidth and response time required to serve incoming requests.

public final class WebRequestAnalyzer {
  private final Vector<WebRequest> requests = new Vector<WebRequest>();

  public boolean addWebRequest(WebRequest request) {
    return requests.add(new WebRequest(request.getBandwidth(),
                        request.getResponseTime()));
  }

  public double getAverageBandwidth() {
    if (requests.size() == 0) {
      throw new IllegalStateException("The vector is empty!");
    }
    return calculateAverageBandwidth(0, 0);
  }

  public double getAverageResponseTime(if (t.fundFrom < t.fundTo) {
      lo = t.fundFrom;
      hi = t.fundTo;
    } else {
        lo = t.fundTo;
        hi = t.fundFrom;
    }
    synchronized (locks[lo]) {
    if  synchronized (locks[hi](requests.size() == 0) {
      throw  balances[t.fundFrom] -= t.amount;
        balances[t.fundTo] += t.amountnew IllegalStateException("The vector is empty!");
    }
    return calculateAverageResponseTime(requests.size() - 1, 0);
  }

  private double calculateAverageBandwidth(int i, long bandwidth) {
    if (i == requests.size()) {
      return bandwidth / requests.size();
    }
    synchronized (requests.elementAt(i)) {
      bandwidth += requests.get(i).getBandwidth();
      }// Acquires locks in increasing order
      return calculateAverageBandwidth(++i, bandwidth);
    }
  }

  staticprivate double calculateAverageResponseTime(int sumHelper (int next) { i, long responseTime) {
    if (i <= -1) {
      return responseTime / requests.size();
    }
    synchronized (requests.elementAt(i)) {
      responseTime += requests.get(i).getResponseTime();
      // Acquires locks in decreasing order
      return calculateAverageResponseTime(--i, responseTime);
    }
  }
}

The monitoring application is built around the WebRequestAnalyzer class, which maintains a list of web requests using the requests vector and includes the addWebRequest() setter method. Any thread can request the average bandwidth or average response time of all web requests by invoking the getAverageBandwidth() and getAverageResponseTime() methods.

These methods use fine-grained locking by holding locks on individual elements (web requests) of the vector. These locks permit new requests to be added while the computations are still underway. Consequently, the statistics reported by the methods are accurate when they return the results.

Unfortunately, this noncompliant code example is prone to deadlock because the recursive calls within the synchronized regions of these methods acquire the intrinsic locks in opposite numerical orders. That is, calculateAverageBandwidth() requests locks from index 0 up to requests.size() − 1, whereas calculateAverageResponseTime() requests them from index requests.size() − 1 down to 0. Because of recursion, previously acquired locks are never released by either method. Deadlock occurs when two threads call these methods out of order, because one thread calls calculateAverageBandwidth(), while the other calls calculateAverageResponseTime() before either method has finished executing.

For example, when there are 20 requests in the vector, and one thread calls getAverageBandwidth(), the thread acquires the intrinsic lock of WebRequest 0, the first element in the vector. Meanwhile, if a second thread calls getAverageResponseTime(), it acquires the intrinsic lock of WebRequest 19, the last element in the vector. Consequently, deadlock results because neither thread can acquire all of the locks required to proceed with its calculations.

Note that the addWebRequest() method also has a race condition with calculateAverageResponseTime(). While iterating over the vector, new elements can be added to the vector, invalidating the results of the previous computation. This race condition can be prevented by locking on the last element of the vector (when it contains at least one element) before inserting the element.

Compliant Solution

In this compliant solution, the two calculation methods acquire and release locks in the same order, beginning with the first web request in the vector.

public final class WebRequestAnalyzer {
  private final Vector<WebRequest> requests = new Vector<WebRequest>();

  public boolean addWebRequest(WebRequest request) {
    return requests.add(new WebRequest(request.getBandwidth(),
                        request.getResponseTime()));
  }

  public double getAverageBandwidth() {
    if (requests.size() == 0) {
      throw new IllegalStateException("The vector is empty!");
    }
    return calculateAverageBandwidth(0, 0);
  }

  public double getAverageResponseTime() {
    if (requests.size() == 0) {
      throw new IllegalStateException("The vector is empty!");
    }
    return calculateAverageResponseTime(0, 0);
  }

  private double calculateAverageBandwidth(int i, long bandwidth) {
    if (i == requests.size()) {
      return bandwidth / requests.size();
    }
    synchronized (requests.elementAt(i)) {
      // Acquires locks in increasing order
      bandwidth += requests.get(i).getBandwidth(locks[next]) {
      if (next == (noOfStocks-1)) {
        return balances[next];
      } else {
        return balances[next] +
        sumHelper(next+1);
      }return calculateAverageBandwidth(++i, bandwidth);
    }
  }

  staticprivate voiddouble checkSystem(calculateAverageResponseTime(int i, long responseTime) {
    intif actual(i = 0= requests.size()) {
      return responseTime / requests.size();
    actual = sumHelper(0);}
    synchronized (requests.elementAt(i)) {
      // Acquires locks in increasing order
    System.out.println("Actual balance is " + actual);  responseTime += requests.get(i).getResponseTime();
      return calculateAverageResponseTime(++i, responseTime);
    }
  }
}

Risk Assessment

Consequently, while one thread is calculating the average bandwidth or response time, another thread cannot interfere or induce deadlock. Each thread must first synchronize on the first web request, which cannot happen until any prior calculation completes.

Locking on the last element of the vector in addWebRequest() is unnecessary for two reasons. First, the locks are acquired in increasing order in all the methods. Second, updates to the vector are reflected in the results of the computations.

Risk Assessment

Acquiring and releasing locks in the wrong order can result in deadlockFine-grained locking may result in deadlocks if some thread does not always request locks in the same order as others.

Automated Detection

TODO

Related Vulnerabilities

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

References

\[[JLS 05|AA. Java References#JLS 05]\] [Chapter 17, Threads and Locks|http://java.sun.com/docs/books/jls/third_edition/html/memory.html]
\[[SDN 08|AA. Java References#SDN 08]\] [Sun Developer Network Tech tips|http://java.sun.com/developer/TechTips/2000/tt0328.html] 
\[[MITRE 09|AA. Java References#MITRE 09]\] [CWE ID 412|http://cwe.mitre.org/data/definitions/412.html] "Unrestricted Lock on Critical Resource"

Some static analysis tools can detect violations of this rule.

Related Guidelines

Bibliography

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Image Added Image Added Image AddedCON33-J. Address the shortcomings of the Singleton design pattern      08. Concurrency (CON)      09. Methods (MET)