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SubjectRe: [PATCH 3/3] sched/numa: documentation for per-cgroup numa stat
On Wed, 13 Nov 2019 11:45:59 +0800
王贇 <yun.wang@linux.alibaba.com> wrote:

> Add the description for 'cg_numa_stat', also a new doc to explain
> the details on how to deal with the per-cgroup numa statistics.
>
> Cc: Peter Zijlstra <peterz@infradead.org>
> Cc: Michal Koutný <mkoutny@suse.com>
> Cc: Mel Gorman <mgorman@suse.de>
> Signed-off-by: Michael Wang <yun.wang@linux.alibaba.com>
> ---
> Documentation/admin-guide/cg-numa-stat.rst | 161 ++++++++++++++++++++++++
> Documentation/admin-guide/kernel-parameters.txt | 4 +
> Documentation/admin-guide/sysctl/kernel.rst | 9 ++
> 3 files changed, 174 insertions(+)
> create mode 100644 Documentation/admin-guide/cg-numa-stat.rst

Thanks for adding documentation for your new feature! When you add a new
RST file, though, you should also add it to index.rst so that it becomes a
part of the docs build.

A couple of nits below...

> diff --git a/Documentation/admin-guide/cg-numa-stat.rst b/Documentation/admin-guide/cg-numa-stat.rst
> new file mode 100644
> index 000000000000..87b716c51e16
> --- /dev/null
> +++ b/Documentation/admin-guide/cg-numa-stat.rst
> @@ -0,0 +1,161 @@
> +===============================
> +Per-cgroup NUMA statistics
> +===============================
> +
> +Background
> +----------
> +
> +On NUMA platforms, remote memory accessing always has a performance penalty,
> +although we have NUMA balancing working hard to maximum the local accessing
> +proportion, there are still situations it can't helps.
> +
> +This could happen in modern production environment, using bunch of cgroups
> +to classify and control resources which introduced complex configuration on
> +memory policy, CPUs and NUMA node, NUMA balancing could facing the wrong
> +memory policy or exhausted local NUMA node, lead into the low local page
> +accessing proportion.
> +
> +We need to perceive such cases, figure out which workloads from which cgroup
> +has introduced the issues, then we got chance to do adjustment to avoid
> +performance damages.
> +
> +However, there are no hardware counter for per-task local/remote accessing
> +info, we don't know how many remote page accessing has been done for a
> +particular task.
> +
> +Statistics
> +----------
> +
> +Fortunately, we have NUMA Balancing which scan task's mapping and trigger PF
> +periodically, give us the opportunity to record per-task page accessing info.
> +
> +By "echo 1 > /proc/sys/kernel/cg_numa_stat" on runtime or add boot parameter
> +'cg_numa_stat', we will enable the accounting of per-cgroup numa statistics,
> +the 'cpu.numa_stat' entry of CPU cgroup will show statistics:
> +
> + locality -- execution time sectioned by task NUMA locality (in ms)
> + exectime -- execution time sectioned by NUMA node (in ms)
> +
> +We define 'task NUMA locality' as:
> +
> + nr_local_page_access * 100 / (nr_local_page_access + nr_remote_page_access)
> +
> +this per-task percentage value will be updated on the ticks for current task,
> +and the access counter will be updated on task's NUMA balancing PF, so only
> +the pages which NUMA Balancing paid attention to will be accounted.
> +
> +On each tick, we acquire the locality of current task on that CPU, accumulating
> +the ticks into the counter of corresponding locality region, tasks from the
> +same group sharing the counters, becoming the group locality.
> +
> +Similarly, we acquire the NUMA node of current CPU where the current task is
> +executing on, accumulating the ticks into the counter of corresponding node,
> +becoming the per-cgroup node execution time.
> +
> +To be noticed, the accounting is in a hierarchy way, which means the numa
> +statistics representing not only the workload of this group, but also the
> +workloads of all it's descendants.
> +
> +For example the 'cpu.numa_stat' show:
> + locality 39541 60962 36842 72519 118605 721778 946553
> + exectime 1220127 1458684

You almost certainly want that rendered as a literal block, so say
"show::". There are other places where you'll want to do that as well.

> +The locality is sectioned into 7 regions, closely as:
> + 0-13% 14-27% 28-42% 43-56% 57-71% 72-85% 86-100%
> +
> +And exectime is sectioned into 2 nodes, 0 and 1 in this case.
> +
> +Thus we know the workload of this group and it's descendants have totally
> +executed 1220127ms on node_0 and 1458684ms on node_1, tasks with locality
> +around 0~13% executed for 39541 ms, and tasks with locality around 87~100%
> +executed for 946553 ms, which imply most of the memory access are local.
> +
> +Monitoring
> +-----------------

A slightly long underline :)

I'll stop here; thanks again for adding documentation.

jon

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