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并发工具优先于 wait 和 notify.jpeg
// Concurrent canonicalizing map atop ConcurrentMap - not optimal
private static final ConcurrentMap<String, String> map = new ConcurrentHashMap<>();
public static String intern(String s) {
String previousValue = map.putIfAbsent(s, s);
return previousValue == null ? s : previousValue;
}
// Concurrent canonicalizing map atop ConcurrentMap - faster!
public static String intern(String s) {
String result = map.get(s);
if (result == null) {
result = map.putIfAbsent(s, s);
if (result == null)
result = s;
}
return result;
}
// The standard idiom for using the wait method
synchronized (obj) {
while (<condition does not hold>)
obj.wait(); // (Releases lock, and reacquires on wakeup)
... // Perform action appropriate to condition
}
没看懂先放着
// Simple framework for timing concurrent execution
public static long time(Executor executor, int concurrency, Runnable action) throws InterruptedException {
CountDownLatch ready = new CountDownLatch(concurrency);
CountDownLatch start = new CountDownLatch(1);
CountDownLatch done = new CountDownLatch(concurrency);
for (int i = 0; i < concurrency; i++) {
executor.execute(() -> {
ready.countDown(); // Tell timer we're ready
try {
start.await(); // Wait till peers are ready
action.run();
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
} finally {
done.countDown(); // Tell timer we're done
}
});
}
ready.await(); // Wait for all workers to be ready
long startNanos = System.nanoTime();
start.countDown(); // And they're off!
done.await(); // Wait for all workers to finish
return System.nanoTime() - startNanos;
}
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