It's sometimes useful to see how many samples vs other events in the
data file with percent values.
$ perf report --stat
Aggregated stats:
TOTAL events: 20064
MMAP events: 239 ( 1.2%)
COMM events: 1518 ( 7.6%)
EXIT events: 1 ( 0.0%)
FORK events: 1517 ( 7.6%)
SAMPLE events: 4015 (20.0%)
MMAP2 events: 12769 (63.6%)
FINISHED_ROUND events: 2 ( 0.0%)
THREAD_MAP events: 1 ( 0.0%)
CPU_MAP events: 1 ( 0.0%)
TIME_CONV events: 1 ( 0.0%)
cycles stats:
SAMPLE events: 2475
instructions stats:
SAMPLE events: 1540
Suggested-by: Andi Kleen <ak@linux.intel.com>
Reviewed-by: Andi Kleen <ak@linux.intel.com>
Signed-off-by: Namhyung Kim <namhyung@kernel.org>
Tested-by: Arnaldo Carvalho de Melo <acme@redhat.com>
Acked-by: Jiri Olsa <jolsa@redhat.com>
Cc: Alexander Shishkin <alexander.shishkin@linux.intel.com>
Cc: Ian Rogers <irogers@google.com>
Cc: Ingo Molnar <mingo@kernel.org>
Cc: Mark Rutland <mark.rutland@arm.com>
Cc: Peter Zijlstra <peterz@infradead.org>
Link: https://lore.kernel.org/r/20210427013717.1651674-7-namhyung@kernel.org
Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
{
int i;
size_t ret = 0;
+ u32 total = stats->nr_events[0];
for (i = 0; i < PERF_RECORD_HEADER_MAX; ++i) {
const char *name;
if (skip_empty && !stats->nr_events[i])
continue;
- ret += fprintf(fp, "%16s events: %10d\n", name, stats->nr_events[i]);
+ if (i && total) {
+ ret += fprintf(fp, "%16s events: %10d (%4.1f%%)\n",
+ name, stats->nr_events[i],
+ 100.0 * stats->nr_events[i] / total);
+ } else {
+ ret += fprintf(fp, "%16s events: %10d\n",
+ name, stats->nr_events[i]);
+ }
}
return ret;