Signed-off-by: Cao jin <caoj.fnst@cn.fujitsu.com> Message-Id: <1472696479-3619-1-git-send-email-caoj.fnst@cn.fujitsu.com> Signed-off-by: Paolo Bonzini <pbonzini@redhat.com>
391 lines
14 KiB
Plaintext
391 lines
14 KiB
Plaintext
Using RCU (Read-Copy-Update) for synchronization
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================================================
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Read-copy update (RCU) is a synchronization mechanism that is used to
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protect read-mostly data structures. RCU is very efficient and scalable
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on the read side (it is wait-free), and thus can make the read paths
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extremely fast.
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RCU supports concurrency between a single writer and multiple readers,
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thus it is not used alone. Typically, the write-side will use a lock to
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serialize multiple updates, but other approaches are possible (e.g.,
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restricting updates to a single task). In QEMU, when a lock is used,
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this will often be the "iothread mutex", also known as the "big QEMU
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lock" (BQL). Also, restricting updates to a single task is done in
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QEMU using the "bottom half" API.
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RCU is fundamentally a "wait-to-finish" mechanism. The read side marks
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sections of code with "critical sections", and the update side will wait
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for the execution of all *currently running* critical sections before
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proceeding, or before asynchronously executing a callback.
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The key point here is that only the currently running critical sections
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are waited for; critical sections that are started _after_ the beginning
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of the wait do not extend the wait, despite running concurrently with
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the updater. This is the reason why RCU is more scalable than,
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for example, reader-writer locks. It is so much more scalable that
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the system will have a single instance of the RCU mechanism; a single
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mechanism can be used for an arbitrary number of "things", without
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having to worry about things such as contention or deadlocks.
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How is this possible? The basic idea is to split updates in two phases,
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"removal" and "reclamation". During removal, we ensure that subsequent
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readers will not be able to get a reference to the old data. After
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removal has completed, a critical section will not be able to access
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the old data. Therefore, critical sections that begin after removal
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do not matter; as soon as all previous critical sections have finished,
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there cannot be any readers who hold references to the data structure,
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and these can now be safely reclaimed (e.g., freed or unref'ed).
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Here is a picture:
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thread 1 thread 2 thread 3
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------------------- ------------------------ -------------------
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enter RCU crit.sec.
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| finish removal phase
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| begin wait
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| | enter RCU crit.sec.
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exit RCU crit.sec | |
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complete wait |
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begin reclamation phase |
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exit RCU crit.sec.
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Note how thread 3 is still executing its critical section when thread 2
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starts reclaiming data. This is possible, because the old version of the
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data structure was not accessible at the time thread 3 began executing
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that critical section.
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RCU API
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=======
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The core RCU API is small:
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void rcu_read_lock(void);
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Used by a reader to inform the reclaimer that the reader is
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entering an RCU read-side critical section.
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void rcu_read_unlock(void);
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Used by a reader to inform the reclaimer that the reader is
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exiting an RCU read-side critical section. Note that RCU
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read-side critical sections may be nested and/or overlapping.
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void synchronize_rcu(void);
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Blocks until all pre-existing RCU read-side critical sections
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on all threads have completed. This marks the end of the removal
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phase and the beginning of reclamation phase.
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Note that it would be valid for another update to come while
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synchronize_rcu is running. Because of this, it is better that
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the updater releases any locks it may hold before calling
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synchronize_rcu. If this is not possible (for example, because
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the updater is protected by the BQL), you can use call_rcu.
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void call_rcu1(struct rcu_head * head,
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void (*func)(struct rcu_head *head));
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This function invokes func(head) after all pre-existing RCU
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read-side critical sections on all threads have completed. This
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marks the end of the removal phase, with func taking care
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asynchronously of the reclamation phase.
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The foo struct needs to have an rcu_head structure added,
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perhaps as follows:
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struct foo {
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struct rcu_head rcu;
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int a;
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char b;
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long c;
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};
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so that the reclaimer function can fetch the struct foo address
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and free it:
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call_rcu1(&foo.rcu, foo_reclaim);
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void foo_reclaim(struct rcu_head *rp)
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{
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struct foo *fp = container_of(rp, struct foo, rcu);
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g_free(fp);
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}
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For the common case where the rcu_head member is the first of the
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struct, you can use the following macro.
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void call_rcu(T *p,
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void (*func)(T *p),
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field-name);
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void g_free_rcu(T *p,
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field-name);
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call_rcu1 is typically used through these macro, in the common case
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where the "struct rcu_head" is the first field in the struct. If
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the callback function is g_free, in particular, g_free_rcu can be
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used. In the above case, one could have written simply:
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g_free_rcu(&foo, rcu);
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typeof(*p) atomic_rcu_read(p);
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atomic_rcu_read() is similar to atomic_mb_read(), but it makes
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some assumptions on the code that calls it. This allows a more
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optimized implementation.
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atomic_rcu_read assumes that whenever a single RCU critical
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section reads multiple shared data, these reads are either
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data-dependent or need no ordering. This is almost always the
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case when using RCU, because read-side critical sections typically
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navigate one or more pointers (the pointers that are changed on
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every update) until reaching a data structure of interest,
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and then read from there.
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RCU read-side critical sections must use atomic_rcu_read() to
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read data, unless concurrent writes are presented by another
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synchronization mechanism.
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Furthermore, RCU read-side critical sections should traverse the
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data structure in a single direction, opposite to the direction
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in which the updater initializes it.
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void atomic_rcu_set(p, typeof(*p) v);
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atomic_rcu_set() is also similar to atomic_mb_set(), and it also
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makes assumptions on the code that calls it in order to allow a more
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optimized implementation.
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In particular, atomic_rcu_set() suffices for synchronization
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with readers, if the updater never mutates a field within a
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data item that is already accessible to readers. This is the
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case when initializing a new copy of the RCU-protected data
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structure; just ensure that initialization of *p is carried out
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before atomic_rcu_set() makes the data item visible to readers.
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If this rule is observed, writes will happen in the opposite
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order as reads in the RCU read-side critical sections (or if
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there is just one update), and there will be no need for other
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synchronization mechanism to coordinate the accesses.
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The following APIs must be used before RCU is used in a thread:
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void rcu_register_thread(void);
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Mark a thread as taking part in the RCU mechanism. Such a thread
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will have to report quiescent points regularly, either manually
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or through the QemuCond/QemuSemaphore/QemuEvent APIs.
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void rcu_unregister_thread(void);
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Mark a thread as not taking part anymore in the RCU mechanism.
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It is not a problem if such a thread reports quiescent points,
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either manually or by using the QemuCond/QemuSemaphore/QemuEvent
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APIs.
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Note that these APIs are relatively heavyweight, and should _not_ be
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nested.
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DIFFERENCES WITH LINUX
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======================
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- Waiting on a mutex is possible, though discouraged, within an RCU critical
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section. This is because spinlocks are rarely (if ever) used in userspace
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programming; not allowing this would prevent upgrading an RCU read-side
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critical section to become an updater.
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- atomic_rcu_read and atomic_rcu_set replace rcu_dereference and
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rcu_assign_pointer. They take a _pointer_ to the variable being accessed.
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- call_rcu is a macro that has an extra argument (the name of the first
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field in the struct, which must be a struct rcu_head), and expects the
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type of the callback's argument to be the type of the first argument.
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call_rcu1 is the same as Linux's call_rcu.
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RCU PATTERNS
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============
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Many patterns using read-writer locks translate directly to RCU, with
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the advantages of higher scalability and deadlock immunity.
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In general, RCU can be used whenever it is possible to create a new
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"version" of a data structure every time the updater runs. This may
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sound like a very strict restriction, however:
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- the updater does not mean "everything that writes to a data structure",
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but rather "everything that involves a reclamation step". See the
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array example below
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- in some cases, creating a new version of a data structure may actually
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be very cheap. For example, modifying the "next" pointer of a singly
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linked list is effectively creating a new version of the list.
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Here are some frequently-used RCU idioms that are worth noting.
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RCU list processing
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-------------------
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TBD (not yet used in QEMU)
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RCU reference counting
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----------------------
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Because grace periods are not allowed to complete while there is an RCU
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read-side critical section in progress, the RCU read-side primitives
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may be used as a restricted reference-counting mechanism. For example,
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consider the following code fragment:
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rcu_read_lock();
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p = atomic_rcu_read(&foo);
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/* do something with p. */
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rcu_read_unlock();
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The RCU read-side critical section ensures that the value of "p" remains
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valid until after the rcu_read_unlock(). In some sense, it is acquiring
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a reference to p that is later released when the critical section ends.
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The write side looks simply like this (with appropriate locking):
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qemu_mutex_lock(&foo_mutex);
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old = foo;
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atomic_rcu_set(&foo, new);
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qemu_mutex_unlock(&foo_mutex);
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synchronize_rcu();
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free(old);
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If the processing cannot be done purely within the critical section, it
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is possible to combine this idiom with a "real" reference count:
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rcu_read_lock();
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p = atomic_rcu_read(&foo);
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foo_ref(p);
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rcu_read_unlock();
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/* do something with p. */
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foo_unref(p);
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The write side can be like this:
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qemu_mutex_lock(&foo_mutex);
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old = foo;
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atomic_rcu_set(&foo, new);
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qemu_mutex_unlock(&foo_mutex);
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synchronize_rcu();
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foo_unref(old);
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or with call_rcu:
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qemu_mutex_lock(&foo_mutex);
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old = foo;
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atomic_rcu_set(&foo, new);
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qemu_mutex_unlock(&foo_mutex);
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call_rcu(foo_unref, old, rcu);
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In both cases, the write side only performs removal. Reclamation
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happens when the last reference to a "foo" object is dropped.
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Using synchronize_rcu() is undesirably expensive, because the
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last reference may be dropped on the read side. Hence you can
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use call_rcu() instead:
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foo_unref(struct foo *p) {
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if (atomic_fetch_dec(&p->refcount) == 1) {
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call_rcu(foo_destroy, p, rcu);
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}
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}
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Note that the same idioms would be possible with reader/writer
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locks:
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read_lock(&foo_rwlock); write_mutex_lock(&foo_rwlock);
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p = foo; p = foo;
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/* do something with p. */ foo = new;
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read_unlock(&foo_rwlock); free(p);
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write_mutex_unlock(&foo_rwlock);
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free(p);
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------------------------------------------------------------------
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read_lock(&foo_rwlock); write_mutex_lock(&foo_rwlock);
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p = foo; old = foo;
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foo_ref(p); foo = new;
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read_unlock(&foo_rwlock); foo_unref(old);
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/* do something with p. */ write_mutex_unlock(&foo_rwlock);
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read_lock(&foo_rwlock);
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foo_unref(p);
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read_unlock(&foo_rwlock);
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foo_unref could use a mechanism such as bottom halves to move deallocation
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out of the write-side critical section.
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RCU resizable arrays
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--------------------
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Resizable arrays can be used with RCU. The expensive RCU synchronization
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(or call_rcu) only needs to take place when the array is resized.
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The two items to take care of are:
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- ensuring that the old version of the array is available between removal
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and reclamation;
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- avoiding mismatches in the read side between the array data and the
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array size.
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The first problem is avoided simply by not using realloc. Instead,
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each resize will allocate a new array and copy the old data into it.
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The second problem would arise if the size and the data pointers were
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two members of a larger struct:
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struct mystuff {
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...
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int data_size;
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int data_alloc;
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T *data;
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...
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};
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Instead, we store the size of the array with the array itself:
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struct arr {
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int size;
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int alloc;
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T data[];
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};
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struct arr *global_array;
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read side:
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rcu_read_lock();
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struct arr *array = atomic_rcu_read(&global_array);
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x = i < array->size ? array->data[i] : -1;
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rcu_read_unlock();
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return x;
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write side (running under a lock):
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if (global_array->size == global_array->alloc) {
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/* Creating a new version. */
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new_array = g_malloc(sizeof(struct arr) +
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global_array->alloc * 2 * sizeof(T));
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new_array->size = global_array->size;
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new_array->alloc = global_array->alloc * 2;
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memcpy(new_array->data, global_array->data,
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global_array->alloc * sizeof(T));
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/* Removal phase. */
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old_array = global_array;
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atomic_rcu_set(&new_array->data, new_array);
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synchronize_rcu();
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/* Reclamation phase. */
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free(old_array);
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}
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SOURCES
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=======
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* Documentation/RCU/ from the Linux kernel
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