Juan-Carlos Gandhi (
juan_gandhi) wrote2007-04-11 02:48 pm
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java synchronization gone wild and back
Hey, so, you, like everyone else, decided to make your static initialization thread-safe. You have a singleton that is hard to instantiate, and You have something like this:
and it does not work, because, say, a dozen of servlet threads in parallel are trying to reinitialize your singleton like crazy; a minute that it takes to instantiate one, turns into 12 minutes, since all 12 are trying to do the same.
Okay, you synchronize it:
In this case you lock execution on the whole class; your class may have a bunch of other singletons, and they will all stand in line waiting for this specific singleton to be retrieved - looks stupid, right? so you introduce a gentle check:
See, before instantiating, you check whether it is instantiated already.
The trouble is, your twelve threads will get through this check and wait on the same barrier before synchronized block, and then will instantiate the singleton, one after another, taking 12 minutes in total. Okay, you get angry, you open a book and steal a solution, the famous double-check trick:
Now you feel good, the threads would not reinitialize the same singleton, because when the second threads penetrates the synchronized block, worker is already not null. You feel good... but then you open Josh and Neal's Java Puzzlers, and see that oops, this won't work on a multiprocessor machine. Why? See, by the time the first thread leaves the syncrhonized block, the value of worker may not reach the memory shared by the threads.
So, the solution suggested is this:
See, the trick is that the singleton is provided by a static class, which is loaded strictly once, which is guaranteed by the class loader.
Now enters "new Java 5", not sure which one, 1.5.0.6 or 1.5.0.7. Bug fixed. All you have to do is declare My worker volatile:
So, now we are back to circle 3: after a bugfix, double checks are legal again.
static My worker;
static My worker() {
if (worker == null) {
worker = new MyImplementation();
}
return worker;
}
and it does not work, because, say, a dozen of servlet threads in parallel are trying to reinitialize your singleton like crazy; a minute that it takes to instantiate one, turns into 12 minutes, since all 12 are trying to do the same.
Okay, you synchronize it:
static My worker;
static synchronized worker() {
if (worker == null) {
worker = new MyImplementation();
}
return worker;
}
In this case you lock execution on the whole class; your class may have a bunch of other singletons, and they will all stand in line waiting for this specific singleton to be retrieved - looks stupid, right? so you introduce a gentle check:
static My worker;
static worker() {
if (worker == null) {
synchronized {
worker = new MyImplementation();
}
}
return worker;
}
See, before instantiating, you check whether it is instantiated already.
The trouble is, your twelve threads will get through this check and wait on the same barrier before synchronized block, and then will instantiate the singleton, one after another, taking 12 minutes in total. Okay, you get angry, you open a book and steal a solution, the famous double-check trick:
static My worker;
static worker() {
if (worker == null) {
synchronized {
if (worker == null) {
worker = new MyImplementation();
}
}
}
return worker;
}
Now you feel good, the threads would not reinitialize the same singleton, because when the second threads penetrates the synchronized block, worker is already not null. You feel good... but then you open Josh and Neal's Java Puzzlers, and see that oops, this won't work on a multiprocessor machine. Why? See, by the time the first thread leaves the syncrhonized block, the value of worker may not reach the memory shared by the threads.
So, the solution suggested is this:
static My worker;
private interface HR {
My getWorker();
}
private static HR catbert = new HR() {
My worker = new MyImplementation();
My getWorker() {
return worker;
}
}
static worker() {
return catbert.getWorker();
}
See, the trick is that the singleton is provided by a static class, which is loaded strictly once, which is guaranteed by the class loader.
Now enters "new Java 5", not sure which one, 1.5.0.6 or 1.5.0.7. Bug fixed. All you have to do is declare My worker volatile:
volatile static My worker;
static worker() {
if (worker == null) {
synchronized {
if (worker == null) {
worker = new MyImplementation();
}
}
}
return worker;
}
So, now we are back to circle 3: after a bugfix, double checks are legal again.
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if (worker == null) {
synchronized {
if (worker == null) {
О, большое спасибо -- до этого места я когда-то сам придумал, но не был уверен. И что, говорите не будет работать? Только на джаве или вообще?
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Интересно, а какова физика этого явления? Дело в том, что если в ячейку X ровно один поток имеет возможность записывать значение, а остальные потоки имеют права прочесть это значение, но строго после того, как поток значение записал, то никакой неодназначности быть не может. Единственное, что мне приходит в голову: процесс заглядывает вперед, заполняет конвеер и "подсасывает" значения переменных в процессорный кеш. И читает, соответственно, тоже из кеша.
Я прямо скажем абсолютно никакой специалист по архитектуре ЭВМ и не понимаю, а может ли такое случиться. Интересно понять, а что же происходит на самом деле.
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безопасно.
(http://cvsweb.netbsd.org/bsdweb.cgi/src/lib/libpthread/pthread_mutex.c?rev=1.27&content-type=text/x-cvsweb-markup)
/*
* Note regarding memory visibility: Pthreads has rules about memory
* visibility and mutexes. Very roughly: Memory a thread can see when
* it unlocks a mutex can be seen by another thread that locks the
* same mutex.
*
* A memory barrier after a lock and before an unlock will provide
* this behavior. This code relies on pthread__simple_lock_try() to issue
* a barrier after obtaining a lock, and on pthread__simple_unlock() to
* issue a barrier before releasing a lock.
*/
Неужели synchronized в Java работает по-другому? Вот, например, в статье в Java World за 2001ый год Алан Голуб пишет буквально следующее:
"Memory barriers surround synchronization To summarize, synchronization implies a memory barrier. In that case, two exist: one barrier associated with entering a synchronized block or method and another associated with leaving it"
Неужели "гонит"?
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1. статические констракторы что, святым духом обеспечивают единственность инициализации? тем же самым lock(), так что performance inefficiency решения №2 никуда не девается.
2. singleton pattern в его классическом понимании is dead. во всех случаях, когда действительно нужен единственный инстанс класса, его можно просто заменить на static class.
3. если не синглтон, а просто статический член с долгой инициализацией, то что делать?
4. ну и наконец, заявление "it's broken in .NET too" безо всяких пояснений никуда не годится. как именно broken? почему broken?
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я правильно угадал концовку?
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(до чего же все-таки джава ебанутая)
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Now you feel good, the threads would not reinitialize the same singleton, because when the second threads penetrates the synchronized block, worker is already not null. You feel good... but then you open Josh and Neal's Java Puzzlers, and see that oops, this won't work on a multiprocessor machine. Why? See, by the time the first thread leaves the syncrhonized block, the value of worker may not reach the memory shared by the threads.
>>
Nope. The only real reason could be that the Java compiler remembers the value of "worker" in the virtual machine registers/stack before it gets the mutex, and then when the mutex synchronizes the memory, the old value from the registers continues to be used throughout the constructor. That's why "volatile" fixes it: it requires that the value gets pulled from the memory afresh every time. I would expect it from C++, but then Java has synchronization as a language statement, so it should treat these statements as barriers for storing temporary values in registers.
BTW, probably a simpler initialization is something like this (my Java nay contain syntax errors):
Overall the Java synchronized stuff is way too uglier than it seems at first :-( And singletons are Evil.
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yes, but that's exactly why the solution with "volatile" is not the best: you incur the performance hit every time you access the member.
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