This patch fixes a known issue in get_slabinfo() which relies on count_partial() to get the exact count of free objects in a kmem_cache_node's partial list. For some slubs, their partial lists can be extremely long. Currently, count_partial() traverses a partial list to get the exact count of objects. This process may take a long time, during which slab allocations are blocked and IRQs are disabled. In production, even NMI watchdog can be triggered due to this matter. The fix is to limit the number of slabs to scan and output an approximated count for a long partial list. The v1 patch counts N slabs from the list's head and then uses it to estimate the total object count in the list. As suggested by Vlastimil, the v2 patch uses an alternative, i.e., counting N/2 from the list's head and tail, produces a more accurate approximation after the partial list is sorted by kmem_cache_shrink(). In the latest version, the implementation is moved to a new function count_partial_free_approx() under CONFIG_SLUB_DEBUG. count_partial() is still used in sysfs. --- Changes since v3 [3] - Place count_partial_free_approx() under CONFIG_SLUB_DEBUG only Changes since v2 [2] - Introduce count_partial_free_approx() and keep count_partial() - Use count_partial_free_approx() in get_slabinfo() and slab_out_of_memory() Changes since v1 [1] - Update the approximation method by counting from the list's head and tail - Cap the approximation by the total object count - Update the commit message to add benchmark results and explain the choice [1] https://lore.kernel.org/linux-mm/20240411164023.99368-1-jianfeng.w.wang@xxxxxxxxxx/ [2] https://lore.kernel.org/linux-mm/20240417185938.5237-2-jianfeng.w.wang@xxxxxxxxxx/ [3] https://lore.kernel.org/linux-mm/20240419175611.47413-1-jianfeng.w.wang@xxxxxxxxxx/ Thanks, --Jianfeng Jianfeng Wang (2): slub: introduce count_partial_free_approx() slub: use count_partial_free_approx() in slab_out_of_memory() mm/slub.c | 41 +++++++++++++++++++++++++++++++++++++++-- 1 file changed, 39 insertions(+), 2 deletions(-) -- 2.42.1