Re: [PATCH v2 00/28] The new cgroup slab memory controller
From: Pavel Tatashin
Date: Fri Aug 28 2020 - 12:47:50 EST
There appears to be another problem that is related to the
cgroup_mutex -> mem_hotplug_lock deadlock described above.
In the original deadlock that I described, the workaround is to
replace crash dump from piping to Linux traditional save to files
method. However, after trying this workaround, I still observed
hardware watchdog resets during machine shutdown.
The new problem occurs for the following reason: upon shutdown systemd
calls a service that hot-removes memory, and if hot-removing fails for
some reason systemd kills that service after timeout. However, systemd
is never able to kill the service, and we get hardware reset caused by
watchdog or a hang during shutdown:
Thread #1: memory hot-remove systemd service
Loops indefinitely, because if there is something still to be migrated
this loop never terminates. However, this loop can be terminated via
signal from systemd after timeout.
__offline_pages()
do {
pfn = scan_movable_pages(pfn, end_pfn);
# Returns 0, meaning there is nothing available to
# migrate, no page is PageLRU(page)
...
ret = walk_system_ram_range(start_pfn, end_pfn - start_pfn,
NULL, check_pages_isolated_cb);
# Returns -EBUSY, meaning there is at least one PFN that
# still has to be migrated.
} while (ret);
Thread #2: ccs killer kthread
css_killed_work_fn
cgroup_mutex <- Grab this Mutex
mem_cgroup_css_offline
memcg_offline_kmem.part
memcg_deactivate_kmem_caches
get_online_mems
mem_hotplug_lock <- waits for Thread#1 to get read access
Thread #3: systemd
ksys_read
vfs_read
__vfs_read
seq_read
proc_single_show
proc_cgroup_show
mutex_lock -> wait for cgroup_mutex that is owned by Thread #2
Thus, thread #3 systemd stuck, and unable to deliver timeout interrupt
to thread #1.
The proper fix for both of the problems is to avoid cgroup_mutex ->
mem_hotplug_lock ordering that was recently fixed in the mainline but
still present in all stable branches. Unfortunately, I do not see a
simple fix in how to remove mem_hotplug_lock from
memcg_deactivate_kmem_caches without using Roman's series that is too
big for stable.
Thanks,
Pasha
On Wed, Aug 12, 2020 at 8:31 PM Pavel Tatashin
<pasha.tatashin@xxxxxxxxxx> wrote:
>
> On Wed, Aug 12, 2020 at 8:04 PM Roman Gushchin <guro@xxxxxx> wrote:
> >
> > On Wed, Aug 12, 2020 at 07:16:08PM -0400, Pavel Tatashin wrote:
> > > Guys,
> > >
> > > There is a convoluted deadlock that I just root caused, and that is
> > > fixed by this work (at least based on my code inspection it appears to
> > > be fixed); but the deadlock exists in older and stable kernels, and I
> > > am not sure whether to create a separate patch for it, or backport
> > > this whole thing.
> >
>
> Hi Roman,
>
> > Hi Pavel,
> >
> > wow, it's a quite complicated deadlock. Thank you for providing
> > a perfect analysis!
>
> Thank you, it indeed took me a while to fully grasp the deadlock.
>
> >
> > Unfortunately, backporting the whole new slab controller isn't an option:
> > it's way too big and invasive.
>
> This is what I thought as well, this is why I want to figure out what
> is the best way forward.
>
> > Do you already have a standalone fix?
>
> Not yet, I do not have a standalone fix. I suspect the best fix would
> be to address fix css_killed_work_fn() stack so we never have:
> cgroup_mutex -> mem_hotplug_lock. Either decoupling them or reverse
> the order would work. If you have suggestions since you worked on this
> code recently, please let me know.
>
> Thank you,
> Pasha
>
> >
> > Thanks!
> >
> >
> > >
> > > Thread #1: Hot-removes memory
> > > device_offline
> > > memory_subsys_offline
> > > offline_pages
> > > __offline_pages
> > > mem_hotplug_lock <- write access
> > > waits for Thread #3 refcnt for pfn 9e5113 to get to 1 so it can
> > > migrate it.
> > >
> > > Thread #2: ccs killer kthread
> > > css_killed_work_fn
> > > cgroup_mutex <- Grab this Mutex
> > > mem_cgroup_css_offline
> > > memcg_offline_kmem.part
> > > memcg_deactivate_kmem_caches
> > > get_online_mems
> > > mem_hotplug_lock <- waits for Thread#1 to get read access
> > >
> > > Thread #3: crashing userland program
> > > do_coredump
> > > elf_core_dump
> > > get_dump_page() -> get page with pfn#9e5113, and increment refcnt
> > > dump_emit
> > > __kernel_write
> > > __vfs_write
> > > new_sync_write
> > > pipe_write
> > > pipe_wait -> waits for Thread #4 systemd-coredump to
> > > read the pipe
> > >
> > > Thread #4: systemd-coredump
> > > ksys_read
> > > vfs_read
> > > __vfs_read
> > > seq_read
> > > proc_single_show
> > > proc_cgroup_show
> > > cgroup_mutex -> waits from Thread #2 for this lock.
> >
> > >
> > > In Summary:
> > > Thread#1 waits for Thread#3 for refcnt, Thread#3 waits for Thread#4 to
> > > read pipe. Thread#4 waits for Thread#2 for cgroup_mutex lock; Thread#2
> > > waits for Thread#1 for mem_hotplug_lock rwlock.
> > >
> > > This work appears to fix this deadlock because cgroup_mutex is not
> > > called anymore before mem_hotplug_lock (unless I am missing it), as it
> > > removes memcg_deactivate_kmem_caches.
> > >
> > > Thank you,
> > > Pasha
> > >
> > > On Wed, Jan 29, 2020 at 9:42 PM Roman Gushchin <guro@xxxxxx> wrote:
> > > >
> > > > On Thu, Jan 30, 2020 at 07:36:26AM +0530, Bharata B Rao wrote:
> > > > > On Mon, Jan 27, 2020 at 09:34:25AM -0800, Roman Gushchin wrote:
> > > > > > The existing cgroup slab memory controller is based on the idea of
> > > > > > replicating slab allocator internals for each memory cgroup.
> > > > > > This approach promises a low memory overhead (one pointer per page),
> > > > > > and isn't adding too much code on hot allocation and release paths.
> > > > > > But is has a very serious flaw: it leads to a low slab utilization.
> > > > > >
> > > > > > Using a drgn* script I've got an estimation of slab utilization on
> > > > > > a number of machines running different production workloads. In most
> > > > > > cases it was between 45% and 65%, and the best number I've seen was
> > > > > > around 85%. Turning kmem accounting off brings it to high 90s. Also
> > > > > > it brings back 30-50% of slab memory. It means that the real price
> > > > > > of the existing slab memory controller is way bigger than a pointer
> > > > > > per page.
> > > > > >
> > > > > > The real reason why the existing design leads to a low slab utilization
> > > > > > is simple: slab pages are used exclusively by one memory cgroup.
> > > > > > If there are only few allocations of certain size made by a cgroup,
> > > > > > or if some active objects (e.g. dentries) are left after the cgroup is
> > > > > > deleted, or the cgroup contains a single-threaded application which is
> > > > > > barely allocating any kernel objects, but does it every time on a new CPU:
> > > > > > in all these cases the resulting slab utilization is very low.
> > > > > > If kmem accounting is off, the kernel is able to use free space
> > > > > > on slab pages for other allocations.
> > > > > >
> > > > > > Arguably it wasn't an issue back to days when the kmem controller was
> > > > > > introduced and was an opt-in feature, which had to be turned on
> > > > > > individually for each memory cgroup. But now it's turned on by default
> > > > > > on both cgroup v1 and v2. And modern systemd-based systems tend to
> > > > > > create a large number of cgroups.
> > > > > >
> > > > > > This patchset provides a new implementation of the slab memory controller,
> > > > > > which aims to reach a much better slab utilization by sharing slab pages
> > > > > > between multiple memory cgroups. Below is the short description of the new
> > > > > > design (more details in commit messages).
> > > > > >
> > > > > > Accounting is performed per-object instead of per-page. Slab-related
> > > > > > vmstat counters are converted to bytes. Charging is performed on page-basis,
> > > > > > with rounding up and remembering leftovers.
> > > > > >
> > > > > > Memcg ownership data is stored in a per-slab-page vector: for each slab page
> > > > > > a vector of corresponding size is allocated. To keep slab memory reparenting
> > > > > > working, instead of saving a pointer to the memory cgroup directly an
> > > > > > intermediate object is used. It's simply a pointer to a memcg (which can be
> > > > > > easily changed to the parent) with a built-in reference counter. This scheme
> > > > > > allows to reparent all allocated objects without walking them over and
> > > > > > changing memcg pointer to the parent.
> > > > > >
> > > > > > Instead of creating an individual set of kmem_caches for each memory cgroup,
> > > > > > two global sets are used: the root set for non-accounted and root-cgroup
> > > > > > allocations and the second set for all other allocations. This allows to
> > > > > > simplify the lifetime management of individual kmem_caches: they are
> > > > > > destroyed with root counterparts. It allows to remove a good amount of code
> > > > > > and make things generally simpler.
> > > > > >
> > > > > > The patchset* has been tested on a number of different workloads in our
> > > > > > production. In all cases it saved significant amount of memory, measured
> > > > > > from high hundreds of MBs to single GBs per host. On average, the size
> > > > > > of slab memory has been reduced by 35-45%.
> > > > >
> > > > > Here are some numbers from multiple runs of sysbench and kernel compilation
> > > > > with this patchset on a 10 core POWER8 host:
> > > > >
> > > > > ==========================================================================
> > > > > Peak usage of memory.kmem.usage_in_bytes, memory.usage_in_bytes and
> > > > > meminfo:Slab for Sysbench oltp_read_write with mysqld running as part
> > > > > of a mem cgroup (Sampling every 5s)
> > > > > --------------------------------------------------------------------------
> > > > > 5.5.0-rc7-mm1 +slab patch %reduction
> > > > > --------------------------------------------------------------------------
> > > > > memory.kmem.usage_in_bytes 15859712 4456448 72
> > > > > memory.usage_in_bytes 337510400 335806464 .5
> > > > > Slab: (kB) 814336 607296 25
> > > > >
> > > > > memory.kmem.usage_in_bytes 16187392 4653056 71
> > > > > memory.usage_in_bytes 318832640 300154880 5
> > > > > Slab: (kB) 789888 559744 29
> > > > > --------------------------------------------------------------------------
> > > > >
> > > > >
> > > > > Peak usage of memory.kmem.usage_in_bytes, memory.usage_in_bytes and
> > > > > meminfo:Slab for kernel compilation (make -s -j64) Compilation was
> > > > > done from bash that is in a memory cgroup. (Sampling every 5s)
> > > > > --------------------------------------------------------------------------
> > > > > 5.5.0-rc7-mm1 +slab patch %reduction
> > > > > --------------------------------------------------------------------------
> > > > > memory.kmem.usage_in_bytes 338493440 231931904 31
> > > > > memory.usage_in_bytes 7368015872 6275923968 15
> > > > > Slab: (kB) 1139072 785408 31
> > > > >
> > > > > memory.kmem.usage_in_bytes 341835776 236453888 30
> > > > > memory.usage_in_bytes 6540427264 6072893440 7
> > > > > Slab: (kB) 1074304 761280 29
> > > > >
> > > > > memory.kmem.usage_in_bytes 340525056 233570304 31
> > > > > memory.usage_in_bytes 6406209536 6177357824 3
> > > > > Slab: (kB) 1244288 739712 40
> > > > > --------------------------------------------------------------------------
> > > > >
> > > > > Slab consumption right after boot
> > > > > --------------------------------------------------------------------------
> > > > > 5.5.0-rc7-mm1 +slab patch %reduction
> > > > > --------------------------------------------------------------------------
> > > > > Slab: (kB) 821888 583424 29
> > > > > ==========================================================================
> > > > >
> > > > > Summary:
> > > > >
> > > > > With sysbench and kernel compilation, memory.kmem.usage_in_bytes shows
> > > > > around 70% and 30% reduction consistently.
> > > > >
> > > > > Didn't see consistent reduction of memory.usage_in_bytes with sysbench and
> > > > > kernel compilation.
> > > > >
> > > > > Slab usage (from /proc/meminfo) shows consistent 30% reduction and the
> > > > > same is seen right after boot too.
> > > >
> > > > That's just perfect!
> > > >
> > > > memory.usage_in_bytes was most likely the same because the freed space
> > > > was taken by pagecache.
> > > >
> > > > Thank you very much for testing!
> > > >
> > > > Roman