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046f4c6909
When reading "/proc/slabinfo", the kernel needs to report the number of free objects for each kmem_cache. The current implementation uses count_partial() to get it by scanning each kmem_cache_node's partial slab list and summing free objects from every partial slab. This process must hold per-kmem_cache_node spinlock and disable IRQ, and may take a long time. Consequently, it can block slab allocations on other CPUs and cause timeouts for network devices, when the partial list is long. In production, even NMI watchdog can be triggered due to this matter: e.g., for "buffer_head", the number of partial slabs was observed to be ~1M in one kmem_cache_node. This problem was also confirmed by others [1-3]. Iterating a partial list to get the exact count of objects can cause soft lockups for a long list with or without the lock (e.g., if preemption is disabled), and may not be very useful: the object count can change after the lock is released. The approach of maintaining free-object counters requires atomic operations on the fast path [3]. So, the fix is to introduce count_partial_free_approx(). This function can be used for getting the free object count in a kmem_cache_node's partial list. It limits the number of slabs to scan and avoids scanning the whole list by giving an approximation for a long list. Suppose the limit is N. If the list's length is not greater than N, output the exact count by traversing the list; if its length is greater than N, output an approximated count by traversing a subset of the list. The proposed method is to scan N/2 slabs from the list's head and N/2 slabs from the tail. For a partial list with ~280K slabs, benchmarks show that it performs better than just counting from the list's head, after slabs get sorted by kmem_cache_shrink(). Default the limit to 10000, as it produces an approximation within 1% of the exact count for both scenarios. Then, use count_partial_free_approx() in get_slabinfo(). Benchmarks: Diff = (exact - approximated) / exact * Normal case (w/o kmem_cache_shrink()): | MAX_TO_SCAN | Diff (count from head)| Diff (count head+tail)| | 1000 | 0.43 % | 1.09 % | | 5000 | 0.06 % | 0.37 % | | 10000 | 0.02 % | 0.16 % | | 20000 | 0.009 % | -0.003 % | * Skewed case (w/ kmem_cache_shrink()): | MAX_TO_SCAN | Diff (count from head)| Diff (count head+tail)| | 1000 | 12.46 % | 6.75 % | | 5000 | 5.38 % | 1.27 % | | 10000 | 4.99 % | 0.22 % | | 20000 | 4.86 % | -0.06 % | [1] https://lore.kernel.org/linux-mm/alpine.DEB.2.21.2003031602460.1537@www.lameter.com/T/ [2] https://lore.kernel.org/lkml/alpine.DEB.2.22.394.2008071258020.55871@www.lameter.com/T/ [3] https://lore.kernel.org/lkml/1e01092b-140d-2bab-aeba-321a74a194ee@linux.com/T/ Signed-off-by: Jianfeng Wang <jianfeng.w.wang@oracle.com> Acked-by: David Rientjes <rientjes@google.com> Signed-off-by: Vlastimil Babka <vbabka@suse.cz> |
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Linux kernel
============
There are several guides for kernel developers and users. These guides can
be rendered in a number of formats, like HTML and PDF. Please read
Documentation/admin-guide/README.rst first.
In order to build the documentation, use ``make htmldocs`` or
``make pdfdocs``. The formatted documentation can also be read online at:
https://www.kernel.org/doc/html/latest/
There are various text files in the Documentation/ subdirectory,
several of them using the reStructuredText markup notation.
Please read the Documentation/process/changes.rst file, as it contains the
requirements for building and running the kernel, and information about
the problems which may result by upgrading your kernel.