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author | upstream source tree <ports@midipix.org> | 2015-03-15 20:14:05 -0400 |
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committer | upstream source tree <ports@midipix.org> | 2015-03-15 20:14:05 -0400 |
commit | 554fd8c5195424bdbcabf5de30fdc183aba391bd (patch) | |
tree | 976dc5ab7fddf506dadce60ae936f43f58787092 /libjava/classpath/external/jsr166/java/util/concurrent/locks/ReadWriteLock.java | |
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Diffstat (limited to 'libjava/classpath/external/jsr166/java/util/concurrent/locks/ReadWriteLock.java')
-rw-r--r-- | libjava/classpath/external/jsr166/java/util/concurrent/locks/ReadWriteLock.java | 104 |
1 files changed, 104 insertions, 0 deletions
diff --git a/libjava/classpath/external/jsr166/java/util/concurrent/locks/ReadWriteLock.java b/libjava/classpath/external/jsr166/java/util/concurrent/locks/ReadWriteLock.java new file mode 100644 index 000000000..484f68d15 --- /dev/null +++ b/libjava/classpath/external/jsr166/java/util/concurrent/locks/ReadWriteLock.java @@ -0,0 +1,104 @@ +/* + * 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 java.util.concurrent.locks; + +/** + * A <tt>ReadWriteLock</tt> 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. + * + * <p>All <tt>ReadWriteLock</tt> implementations must guarantee that + * the memory synchronization effects of <tt>writeLock</tt> operations + * (as specified in the {@link Lock} interface) also hold with respect + * to the associated <tt>readLock</tt>. That is, a thread successfully + * acquiring the read lock will see all updates made upon previous + * release of the write lock. + * + * <p>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 + * <em>writer</em> thread) can modify the shared data, in many cases any + * number of threads can concurrently read the data (hence <em>reader</em> + * 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. + * + * <p>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. + * + * + * <p>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: + * <ul> + * <li>Determining whether to grant the read lock or the write lock, when + * both readers and writers are waiting, at the time that a writer releases + * the write lock. Writer preference is common, as writes are expected to be + * short and infrequent. Reader preference is less common as it can lead to + * lengthy delays for a write if the readers are frequent and long-lived as + * expected. Fair, or "in-order" implementations are also possible. + * + * <li>Determining whether readers that request the read lock while a + * reader is active and a writer is waiting, are granted the read lock. + * Preference to the reader can delay the writer indefinitely, while + * preference to the writer can reduce the potential for concurrency. + * + * <li>Determining whether the locks are reentrant: can a thread with the + * write lock reacquire it? Can it acquire a read lock while holding the + * write lock? Is the read lock itself reentrant? + * + * <li>Can the write lock be downgraded to a read lock without allowing + * an intervening writer? Can a read lock be upgraded to a write lock, + * in preference to other waiting readers or writers? + * + * </ul> + * 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(); +} |