Recursive Lock (Mutex) vs Non-Recursive Lock (Mute

问题:

POSIX allows mutexes to be recursive. That means the same thread can lock the same mutex twice and won\'t deadlock. Of course it also needs to unlock it twice, otherwise no other thread can obtain the mutex. Not all systems supporting pthreads also support recursive mutexes, but if they want to be POSIX conform, they have to.

Other APIs (more high level APIs) also usually offer mutexes, often called Locks. Some systems/languages (e.g. Cocoa Objective-C) offer both, recursive and non recursive mutexes. Some languages also only offer one or the other one. E.g. in Java mutexes are always recursive (the same thread may twice \"synchronize\" on the same object). Depending on what other thread functionality they offer, not having recursive mutexes might be no problem, as they can easily be written yourself (I already implemented recursive mutexes myself on the basis of more simple mutex/condition operations).

What I don\'t really understand: What are non-recursive mutexes good for? Why would I want to have a thread deadlock if it locks the same mutex twice? Even high level languages that could avoid that (e.g. testing if this will deadlock and throwing an exception if it does) usually don\'t do that. They will let the thread deadlock instead.

Is this only for cases, where I accidentally lock it twice and only unlock it once and in case of a recursive mutex, it would be harder to find the problem, so instead I have it deadlock immediately to see where the incorrect lock appears? But couldn\'t I do the same with having a lock counter returned when unlocking and in a situation, where I\'m sure I released the last lock and the counter is not zero, I can throw an exception or log the problem? Or is there any other, more useful use-case of non recursive mutexes that I fail to see? Or is it maybe just performance, as a non-recursive mutex can be slightly faster than a recursive one? However, I tested this and the difference is really not that big.

回答1:

The difference between a recursive and non-recursive mutex has to do with ownership. In the case of a recursive mutex, the kernel has to keep track of the thread who actually obtained the mutex the first time around so that it can detect the difference between recursion vs. a different thread that should block instead. As another answer pointed out, there is a question of the additional overhead of this both in terms of memory to store this context and also the cycles required for maintaining it.

However, there are other considerations at play here too.

Because the recursive mutex has a sense of ownership, the thread that grabs the mutex must be the same thread that releases the mutex. In the case of non-recursive mutexes, there is no sense of ownership and any thread can usually release the mutex no matter which thread originally took the mutex. In many cases, this type of \"mutex\" is really more of a semaphore action, where you are not necessarily using the mutex as an exclusion device but use it as synchronization or signaling device between two or more threads.

Another property that comes with a sense of ownership in a mutex is the ability to support priority inheritance. Because the kernel can track the thread owning the mutex and also the identity of all the blocker(s), in a priority threaded system it becomes possible to escalate the priority of the thread that currently owns the mutex to the priority of the highest priority thread that is currently blocking on the mutex. This inheritance prevents the problem of priority inversion that can occur in such cases. (Note that not all systems support priority inheritance on such mutexes, but it is another feature that becomes possible via the notion of ownership).

If you refer to classic VxWorks RTOS kernel, they define three mechanisms:

• mutex - supports recursion, and optionally priority inheritance
• binary semaphore - no recursion, no inheritance, simple exclusion, taker and giver does not have to be same thread, broadcast release available
• counting semaphore - no recursion or inheritance, acts as a coherent resource counter from any desired initial count, threads only block where net count against the resource is zero.

Again, this varies somewhat by platform - especially what they call these things, but this should be representative of the concepts and various mechanisms at play.

回答2:

The answer is not efficiency. Non-reentrant mutexes lead to better code.

Example: A::foo() acquires the lock. It then calls B::bar(). This worked fine when you wrote it. But sometime later someone changes B::bar() to call A::baz(), which also acquires the lock.

Well, if you don\'t have recursive mutexes, this deadlocks. If you do have them, it runs, but it may break. A::foo() may have left the object in an inconsistent state before calling bar(), on the assumption that baz() couldn\'t get run because it also acquires the mutex. But it probably shouldn\'t run! The person who wrote A::foo() assumed that nobody could call A::baz() at the same time - that\'s the entire reason that both of those methods acquired the lock.

The right mental model for using mutexes: The mutex protects an invariant. When the mutex is held, the invariant may change, but before releasing the mutex, the invariant is re-established. Reentrant locks are dangerous because the second time you acquire the lock you can\'t be sure the invariant is true any more.

If you are happy with reentrant locks, it is only because you have not had to debug a problem like this before. Java has non-reentrant locks these days in java.util.concurrent.locks, by the way.

回答3:

As written by Dave Butenhof himself:

\"The biggest of all the big problems with recursive mutexes is that they encourage you to completely lose track of your locking scheme and scope. This is deadly. Evil. It\'s the \"thread eater\". You hold locks for the absolutely shortest possible time. Period. Always. If you\'re calling something with a lock held simply because you don\'t know it\'s held, or because you don\'t know whether the callee needs the mutex, then you\'re holding it too long. You\'re aiming a shotgun at your application and pulling the trigger. You presumably started using threads to get concurrency; but you\'ve just PREVENTED concurrency.\"

回答4:

The right mental model for using mutexes: The mutex protects an invariant.

Why are you sure that this is really right mental model for using mutexes? I think right model is protecting data but not invariants.

The problem of protecting invariants presents even in single-threaded applications and has nothing common with multi-threading and mutexes.

Furthermore, if you need to protect invariants, you still may use binary semaphore wich is never recursive.

回答5:

One main reason that recursive mutexes are useful is in case of accessing the methods multiple times by the same thread. For example, say if mutex lock is protecting a bank A/c to withdraw, then if there is a fee also associated with that withdrawal, then the same mutex has to be used.

回答6:

The only good use case for recursion mutex is when an object contains multiple methods. When any of the methods modify the content of the object, and therefore must lock the object before the state is consistent again.

If the methods use other methods (ie: addNewArray() calls addNewPoint(), and finalizes with recheckBounds()), but any of those functions by themselves need to lock the mutex, then recursive mutex is a win-win.

For any other case (solving just bad coding, using it even in different objects) is clearly wrong!