Re: [PATCH 1/9] perf, tools, stat: Abstract stat metrics printing
From: Jiri Olsa
Date: Fri Jan 22 2016 - 05:06:35 EST
On Tue, Jan 19, 2016 at 06:26:44PM -0800, Andi Kleen wrote:
SNIP
>
> -void perf_stat__print_shadow_stats(FILE *out, struct perf_evsel *evsel,
> - double avg, int cpu, enum aggr_mode aggr)
> +void perf_stat__print_shadow_stats(struct perf_evsel *evsel,
> + double avg, int cpu,
> + struct perf_stat_output_ctx *out)
> {
> + void *ctxp = out->ctx;
> + print_metric_t print_metric = out->print_metric;
> double total, ratio = 0.0, total2;
> int ctx = evsel_context(evsel);
>
> @@ -307,119 +302,145 @@ void perf_stat__print_shadow_stats(FILE *out, struct perf_evsel *evsel,
> total = avg_stats(&runtime_cycles_stats[ctx][cpu]);
> if (total) {
> ratio = avg / total;
> - fprintf(out, " # %5.2f insns per cycle ", ratio);
> + print_metric(ctxp, NULL, "%7.2f ",
> + "insn per cycle", ratio);
> } else {
> - fprintf(out, " ");
> + print_metric(ctxp, NULL, NULL, "insn per cycle", 0);
> }
> total = avg_stats(&runtime_stalled_cycles_front_stats[ctx][cpu]);
> total = max(total, avg_stats(&runtime_stalled_cycles_back_stats[ctx][cpu]));
>
> + out->new_line(ctxp);
> if (total && avg) {
> ratio = total / avg;
> - fprintf(out, "\n");
> - if (aggr == AGGR_NONE)
> - fprintf(out, " ");
> - fprintf(out, " # %5.2f stalled cycles per insn", ratio);
> + print_metric(ctxp, NULL, "%7.2f ",
> + "stalled cycles per insn",
> + ratio);
> + } else {
> + print_metric(ctxp, NULL, NULL,
> + "stalled cycles per insn", 0);
> }
hum the CSV output showing extra line with empty metrics,
and looks like t's because of the above hunk..
[jolsa@krava perf]$ sudo ./perf stat -e cycles,instructions -a -x,
^C160517940,,cycles,2357448795,100.00,,Ghz,2357448795,100.00
84822675,,instructions,2357537479,100.00,0.53,insn per cycle
,,,2357537479,100.00,,stalled cycles per insn,2357537479,100.00
[jolsa@krava perf]$ sudo ./perf stat -e cycles,instructions -a
^C
Performance counter stats for 'system wide':
114,951,298 cycles
24,554,494 instructions # 0.21 insn per cycle
0.663756378 seconds time elapsed
thanks,
jirka