/* * Written by Doug Lea with assistance from members of JCP JSR-166 * Expert Group and released to the public domain, as explained at * http://creativecommons.org/licenses/publicdomain */ package scala.actors.threadpool.locks; /** * A ReadWriteLock maintains a pair of associated {@link * Lock locks}, one for read-only operations and one for writing. * The {@link #readLock read lock} may be held simultaneously by * multiple reader threads, so long as there are no writers. The * {@link #writeLock write lock} is exclusive. * *

All ReadWriteLock implementations must guarantee that * the memory synchronization effects of writeLock operations * (as specified in the {@link Lock} interface) also hold with respect * to the associated readLock. That is, a thread successfully * acquiring the read lock will see all updates made upon previous * release of the write lock. * *

A read-write lock allows for a greater level of concurrency in * accessing shared data than that permitted by a mutual exclusion lock. * It exploits the fact that while only a single thread at a time (a * writer thread) can modify the shared data, in many cases any * number of threads can concurrently read the data (hence reader * threads). * In theory, the increase in concurrency permitted by the use of a read-write * lock will lead to performance improvements over the use of a mutual * exclusion lock. In practice this increase in concurrency will only be fully * realized on a multi-processor, and then only if the access patterns for * the shared data are suitable. * *

Whether or not a read-write lock will improve performance over the use * of a mutual exclusion lock depends on the frequency that the data is * read compared to being modified, the duration of the read and write * operations, and the contention for the data - that is, the number of * threads that will try to read or write the data at the same time. * For example, a collection that is initially populated with data and * thereafter infrequently modified, while being frequently searched * (such as a directory of some kind) is an ideal candidate for the use of * a read-write lock. However, if updates become frequent then the data * spends most of its time being exclusively locked and there is little, if any * increase in concurrency. Further, if the read operations are too short * the overhead of the read-write lock implementation (which is inherently * more complex than a mutual exclusion lock) can dominate the execution * cost, particularly as many read-write lock implementations still serialize * all threads through a small section of code. Ultimately, only profiling * and measurement will establish whether the use of a read-write lock is * suitable for your application. * * *

Although the basic operation of a read-write lock is straight-forward, * there are many policy decisions that an implementation must make, which * may affect the effectiveness of the read-write lock in a given application. * Examples of these policies include: *

* You should consider all of these things when evaluating the suitability * of a given implementation for your application. * * @see ReentrantReadWriteLock * @see Lock * @see ReentrantLock * * @since 1.5 * @author Doug Lea */ public interface ReadWriteLock { /** * Returns the lock used for reading. * * @return the lock used for reading. */ Lock readLock(); /** * Returns the lock used for writing. * * @return the lock used for writing. */ Lock writeLock(); }