swap: try to scan more free slots even when fragmented
Now, the scalability of swap code will drop much when the swap device becomes fragmented, because the swap slots allocation batching stops working. To solve the problem, in this patch, we will try to scan a little more swap slots with restricted effort to batch the swap slots allocation even if the swap device is fragmented. Test shows that the benchmark score can increase up to 37.1% with the patch. Details are as follows. The swap code has a per-cpu cache of swap slots. These batch swap space allocations to improve swap subsystem scaling. In the following code path, add_to_swap() get_swap_page() refill_swap_slots_cache() get_swap_pages() scan_swap_map_slots() scan_swap_map_slots() and get_swap_pages() can return multiple swap slots for each call. These slots will be cached in the per-CPU swap slots cache, so that several following swap slot requests will be fulfilled there to avoid the lock contention in the lower level swap space allocation/freeing code path. But this only works when there are free swap clusters. If a swap device becomes so fragmented that there's no free swap clusters, scan_swap_map_slots() and get_swap_pages() will return only one swap slot for each call in the above code path. Effectively, this falls back to the situation before the swap slots cache was introduced, the heavy lock contention on the swap related locks kills the scalability. Why does it work in this way? Because the swap device could be large, and the free swap slot scanning could be quite time consuming, to avoid taking too much time to scanning free swap slots, the conservative method was used. In fact, this can be improved via scanning a little more free slots with strictly restricted effort. Which is implemented in this patch. In scan_swap_map_slots(), after the first free swap slot is gotten, we will try to scan a little more, but only if we haven't scanned too many slots (< LATENCY_LIMIT). That is, the added scanning latency is strictly restricted. To test the patch, we have run 16-process pmbench memory benchmark on a 2-socket server machine with 48 cores. Multiple ram disks are configured as the swap devices. The pmbench working-set size is much larger than the available memory so that swapping is triggered. The memory read/write ratio is 80/20 and the accessing pattern is random, so the swap space becomes highly fragmented during the test. In the original implementation, the lock contention on swap related locks is very heavy. The perf profiling data of the lock contention code path is as following, _raw_spin_lock.get_swap_pages.get_swap_page.add_to_swap: 21.03 _raw_spin_lock_irq.shrink_inactive_list.shrink_lruvec.shrink_node: 1.92 _raw_spin_lock_irq.shrink_active_list.shrink_lruvec.shrink_node: 1.72 _raw_spin_lock.free_pcppages_bulk.drain_pages_zone.drain_pages: 0.69 While after applying this patch, it becomes, _raw_spin_lock_irq.shrink_inactive_list.shrink_lruvec.shrink_node: 4.89 _raw_spin_lock_irq.shrink_active_list.shrink_lruvec.shrink_node: 3.85 _raw_spin_lock.free_pcppages_bulk.drain_pages_zone.drain_pages: 1.1 _raw_spin_lock_irqsave.pagevec_lru_move_fn.__lru_cache_add.do_swap_page: 0.88 That is, the lock contention on the swap locks is eliminated. And the pmbench score increases 37.1%. The swapin throughput increases 45.7% from 2.02 GB/s to 2.94 GB/s. While the swapout throughput increases 45.3% from 2.04 GB/s to 2.97 GB/s. Signed-off-by: "Huang, Ying" <ying.huang@intel.com> Signed-off-by: Andrew Morton <akpm@linux-foundation.org> Acked-by: Tim Chen <tim.c.chen@linux.intel.com> Cc: Dave Hansen <dave.hansen@intel.com> Cc: Michal Hocko <mhocko@suse.com> Cc: Minchan Kim <minchan@kernel.org> Cc: Hugh Dickins <hughd@google.com> Link: http://lkml.kernel.org/r/20200427030023.264780-1-ying.huang@intel.comSigned-off-by: Linus Torvalds <torvalds@linux-foundation.org>
Showing
Please register or sign in to comment