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Mutexes in FreeBSD kernel (see man:mutex[9]) have one distinction from their more common userland cousins - the code cannot sleep while holding a mutex). If the code needs to sleep a lot, man:sx[9] locks may be more appropriate. On the other hand, if you do almost everything in a single thread, you may get away with no mutexes at all.
 
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Documentation / articles/geom-class/_index — 法语

The other benefit of having a event-handler thread like that is to serialize all the requests and responses coming from different geom threads into one thread. This is also very convenient but can be slow. In most cases, handling of `.done`() requests can be left to the `g_up` thread.
 
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The main benefit of using a thread to handle I/O requests is that it can sleep when needed. Now, this sounds good, but should be carefully thought out. Sleeping is well and very convenient but can very effectively destroy performance of the geom transformation. Extremely performance-sensitive classes probably should do all the work in `.start`() function call, taking great care to handle out-of-memory and similar errors.
 
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In GEOM code, the usual use of threads is to offload processing of requests from `g_down` thread (the `.start`() function). These threads look like "event handlers": they have a linked list of event associated with them (on which events can be posted by various functions in various threads so it must be protected by a mutex), take the events from the list one by one and process them in a big `switch`() statement.
 
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Kernel threads are created with man:kthread_create[9] function, and they are sort of similar to userland threads in behavior, only they cannot return to caller to signify termination, but must call man:kthread_exit[9].
 
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Kernel Threads for Use in GEOM Code
 
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This restriction is here to stop GEOM code clogging the I/O request path, since sleeping is usually not time-bound and there can be no guarantees on how long will it take (there are some other, more technical reasons also). It also means that there is not much that can be done in those threads; for example, almost any complex thing requires memory allocation. Fortunately, there is a way out: creating additional kernel threads.
 
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