65c1b5b622
This is the first step towards having fine-grained critical sections in
dataplane threads, which will resolve lock ordering problems between
address_space_* functions (which need the BQL when doing MMIO, even
after we complete RCU-based dispatch) and the AioContext.
Because AioContext does not use contention callbacks anymore, the
unit test has to be changed.
Previously applied as a0710f7995 and
then reverted.
Reviewed-by: Fam Zheng <famz@redhat.com>
Signed-off-by: Paolo Bonzini <pbonzini@redhat.com>
Message-Id: <1477565348-5458-19-git-send-email-pbonzini@redhat.com>
Signed-off-by: Fam Zheng <famz@redhat.com>
141 lines
6.6 KiB
Plaintext
141 lines
6.6 KiB
Plaintext
Copyright (c) 2014 Red Hat Inc.
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This work is licensed under the terms of the GNU GPL, version 2 or later. See
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the COPYING file in the top-level directory.
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This document explains the IOThread feature and how to write code that runs
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outside the QEMU global mutex.
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The main loop and IOThreads
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---------------------------
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QEMU is an event-driven program that can do several things at once using an
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event loop. The VNC server and the QMP monitor are both processed from the
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same event loop, which monitors their file descriptors until they become
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readable and then invokes a callback.
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The default event loop is called the main loop (see main-loop.c). It is
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possible to create additional event loop threads using -object
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iothread,id=my-iothread.
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Side note: The main loop and IOThread are both event loops but their code is
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not shared completely. Sometimes it is useful to remember that although they
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are conceptually similar they are currently not interchangeable.
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Why IOThreads are useful
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------------------------
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IOThreads allow the user to control the placement of work. The main loop is a
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scalability bottleneck on hosts with many CPUs. Work can be spread across
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several IOThreads instead of just one main loop. When set up correctly this
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can improve I/O latency and reduce jitter seen by the guest.
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The main loop is also deeply associated with the QEMU global mutex, which is a
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scalability bottleneck in itself. vCPU threads and the main loop use the QEMU
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global mutex to serialize execution of QEMU code. This mutex is necessary
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because a lot of QEMU's code historically was not thread-safe.
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The fact that all I/O processing is done in a single main loop and that the
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QEMU global mutex is contended by all vCPU threads and the main loop explain
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why it is desirable to place work into IOThreads.
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The experimental virtio-blk data-plane implementation has been benchmarked and
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shows these effects:
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ftp://public.dhe.ibm.com/linux/pdfs/KVM_Virtualized_IO_Performance_Paper.pdf
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How to program for IOThreads
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----------------------------
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The main difference between legacy code and new code that can run in an
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IOThread is dealing explicitly with the event loop object, AioContext
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(see include/block/aio.h). Code that only works in the main loop
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implicitly uses the main loop's AioContext. Code that supports running
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in IOThreads must be aware of its AioContext.
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AioContext supports the following services:
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* File descriptor monitoring (read/write/error on POSIX hosts)
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* Event notifiers (inter-thread signalling)
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* Timers
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* Bottom Halves (BH) deferred callbacks
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There are several old APIs that use the main loop AioContext:
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* LEGACY qemu_aio_set_fd_handler() - monitor a file descriptor
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* LEGACY qemu_aio_set_event_notifier() - monitor an event notifier
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* LEGACY timer_new_ms() - create a timer
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* LEGACY qemu_bh_new() - create a BH
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* LEGACY qemu_aio_wait() - run an event loop iteration
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Since they implicitly work on the main loop they cannot be used in code that
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runs in an IOThread. They might cause a crash or deadlock if called from an
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IOThread since the QEMU global mutex is not held.
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Instead, use the AioContext functions directly (see include/block/aio.h):
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* aio_set_fd_handler() - monitor a file descriptor
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* aio_set_event_notifier() - monitor an event notifier
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* aio_timer_new() - create a timer
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* aio_bh_new() - create a BH
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* aio_poll() - run an event loop iteration
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The AioContext can be obtained from the IOThread using
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iothread_get_aio_context() or for the main loop using qemu_get_aio_context().
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Code that takes an AioContext argument works both in IOThreads or the main
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loop, depending on which AioContext instance the caller passes in.
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How to synchronize with an IOThread
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-----------------------------------
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AioContext is not thread-safe so some rules must be followed when using file
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descriptors, event notifiers, timers, or BHs across threads:
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1. AioContext functions can be called safely from file descriptor, event
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notifier, timer, or BH callbacks invoked by the AioContext. No locking is
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necessary.
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2. Other threads wishing to access the AioContext must use
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aio_context_acquire()/aio_context_release() for mutual exclusion. Once the
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context is acquired no other thread can access it or run event loop iterations
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in this AioContext.
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aio_context_acquire()/aio_context_release() calls may be nested. This
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means you can call them if you're not sure whether #1 applies.
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There is currently no lock ordering rule if a thread needs to acquire multiple
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AioContexts simultaneously. Therefore, it is only safe for code holding the
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QEMU global mutex to acquire other AioContexts.
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Side note: the best way to schedule a function call across threads is to create
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a BH in the target AioContext beforehand and then call qemu_bh_schedule(). No
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acquire/release or locking is needed for the qemu_bh_schedule() call. But be
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sure to acquire the AioContext for aio_bh_new() if necessary.
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AioContext and the block layer
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------------------------------
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The AioContext originates from the QEMU block layer, even though nowadays
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AioContext is a generic event loop that can be used by any QEMU subsystem.
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The block layer has support for AioContext integrated. Each BlockDriverState
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is associated with an AioContext using bdrv_set_aio_context() and
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bdrv_get_aio_context(). This allows block layer code to process I/O inside the
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right AioContext. Other subsystems may wish to follow a similar approach.
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Block layer code must therefore expect to run in an IOThread and avoid using
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old APIs that implicitly use the main loop. See the "How to program for
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IOThreads" above for information on how to do that.
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If main loop code such as a QMP function wishes to access a BlockDriverState
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it must first call aio_context_acquire(bdrv_get_aio_context(bs)) to ensure
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that callbacks in the IOThread do not run in parallel.
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Code running in the monitor typically needs to ensure that past
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requests from the guest are completed. When a block device is running
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in an IOThread, the IOThread can also process requests from the guest
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(via ioeventfd). To achieve both objects, wrap the code between
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bdrv_drained_begin() and bdrv_drained_end(), thus creating a "drained
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section". The functions must be called between aio_context_acquire()
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and aio_context_release(). You can freely release and re-acquire the
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AioContext within a drained section.
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Long-running jobs (usually in the form of coroutines) are best scheduled in
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the BlockDriverState's AioContext to avoid the need to acquire/release around
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each bdrv_*() call. The functions bdrv_add/remove_aio_context_notifier,
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or alternatively blk_add/remove_aio_context_notifier if you use BlockBackends,
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can be used to get a notification whenever bdrv_set_aio_context() moves a
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BlockDriverState to a different AioContext.
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