linux_dsm_epyc7002/tools/perf/util/metricgroup.c

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// SPDX-License-Identifier: GPL-2.0-only
perf stat: Support JSON metrics in perf stat Add generic support for standalone metrics specified in JSON files to perf stat. A metric is a formula that uses multiple events to compute a higher level result (e.g. IPC). Previously metrics were always tied to an event and automatically enabled with that event. But now change it that we can have standalone metrics. They are in the same JSON data structure as events, but don't have an event name. We also allow to organize the metrics in metric groups, which allows a short cut to select several related metrics at once. Add a new -M / --metrics option to perf stat that adds the metrics or metric groups specified. Add the core code to manage and parse the metric groups. They are collected from the JSON data structures into a separate rblist. When computing shadow values look for metrics in that list. Then they are computed using the existing saved values infrastructure in stat-shadow.c The actual JSON metrics are in a separate pull request. % perf stat -M Summary --metric-only -a sleep 1 Performance counter stats for 'system wide': Instructions CLKS CPU_Utilization GFLOPs SMT_2T_Utilization Kernel_Utilization 317614222.0 1392930775.0 0.0 0.0 0.2 0.1 1.001497549 seconds time elapsed % perf stat -M GFLOPs flops Performance counter stats for 'flops': 3,999,541,471 fp_comp_ops_exe.sse_scalar_single # 1.2 GFLOPs (66.65%) 14 fp_comp_ops_exe.sse_scalar_double (66.65%) 0 fp_comp_ops_exe.sse_packed_double (66.67%) 0 fp_comp_ops_exe.sse_packed_single (66.70%) 0 simd_fp_256.packed_double (66.70%) 0 simd_fp_256.packed_single (66.67%) 0 duration_time 3.238372845 seconds time elapsed v2: Add missing header file v3: Move find_map to pmu.c Signed-off-by: Andi Kleen <ak@linux.intel.com> Acked-by: Jiri Olsa <jolsa@kernel.org> Link: http://lkml.kernel.org/r/20170831194036.30146-7-andi@firstfloor.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2017-09-01 02:40:31 +07:00
/*
* Copyright (c) 2017, Intel Corporation.
*/
/* Manage metrics and groups of metrics from JSON files */
#include "metricgroup.h"
#include "evlist.h"
#include "strbuf.h"
#include "pmu.h"
#include "expr.h"
#include "rblist.h"
#include <string.h>
#include <stdbool.h>
#include <errno.h>
#include "pmu-events/pmu-events.h"
#include "strlist.h"
#include <assert.h>
#include <linux/ctype.h>
perf stat: Support JSON metrics in perf stat Add generic support for standalone metrics specified in JSON files to perf stat. A metric is a formula that uses multiple events to compute a higher level result (e.g. IPC). Previously metrics were always tied to an event and automatically enabled with that event. But now change it that we can have standalone metrics. They are in the same JSON data structure as events, but don't have an event name. We also allow to organize the metrics in metric groups, which allows a short cut to select several related metrics at once. Add a new -M / --metrics option to perf stat that adds the metrics or metric groups specified. Add the core code to manage and parse the metric groups. They are collected from the JSON data structures into a separate rblist. When computing shadow values look for metrics in that list. Then they are computed using the existing saved values infrastructure in stat-shadow.c The actual JSON metrics are in a separate pull request. % perf stat -M Summary --metric-only -a sleep 1 Performance counter stats for 'system wide': Instructions CLKS CPU_Utilization GFLOPs SMT_2T_Utilization Kernel_Utilization 317614222.0 1392930775.0 0.0 0.0 0.2 0.1 1.001497549 seconds time elapsed % perf stat -M GFLOPs flops Performance counter stats for 'flops': 3,999,541,471 fp_comp_ops_exe.sse_scalar_single # 1.2 GFLOPs (66.65%) 14 fp_comp_ops_exe.sse_scalar_double (66.65%) 0 fp_comp_ops_exe.sse_packed_double (66.67%) 0 fp_comp_ops_exe.sse_packed_single (66.70%) 0 simd_fp_256.packed_double (66.70%) 0 simd_fp_256.packed_single (66.67%) 0 duration_time 3.238372845 seconds time elapsed v2: Add missing header file v3: Move find_map to pmu.c Signed-off-by: Andi Kleen <ak@linux.intel.com> Acked-by: Jiri Olsa <jolsa@kernel.org> Link: http://lkml.kernel.org/r/20170831194036.30146-7-andi@firstfloor.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2017-09-01 02:40:31 +07:00
struct metric_event *metricgroup__lookup(struct rblist *metric_events,
struct perf_evsel *evsel,
bool create)
{
struct rb_node *nd;
struct metric_event me = {
.evsel = evsel
};
perf script: Allow computing 'perf stat' style metrics Add support for computing 'perf stat' style metrics in 'perf script'. When using leader sampling we can get metrics for each sampling period by computing formulas over the values of the different group members. This allows things like fine grained IPC tracking through sampling, much more fine grained than with 'perf stat'. The metric is still averaged over the sampling period, it is not just for the sampling point. This patch adds a new metric output field for 'perf script' that uses the existing 'perf stat' metrics infrastructure to compute any metrics supported by 'perf stat'. For example to sample IPC: $ perf record -e '{ref-cycles,cycles,instructions}:S' -a sleep 1 $ perf script -F metric,ip,sym,time,cpu,comm ... alsa-sink-ALC32 [000] 42815.856074: 7fd65937d6cc [unknown] alsa-sink-ALC32 [000] 42815.856074: 7fd65937d6cc [unknown] alsa-sink-ALC32 [000] 42815.856074: 7fd65937d6cc [unknown] alsa-sink-ALC32 [000] 42815.856074: metric: 0.13 insn per cycle swapper [000] 42815.857961: ffffffff81655df0 __schedule swapper [000] 42815.857961: ffffffff81655df0 __schedule swapper [000] 42815.857961: ffffffff81655df0 __schedule swapper [000] 42815.857961: metric: 0.23 insn per cycle qemu-system-x86 [000] 42815.858130: ffffffff8165ad0e _raw_spin_unlock_irqrestore qemu-system-x86 [000] 42815.858130: ffffffff8165ad0e _raw_spin_unlock_irqrestore qemu-system-x86 [000] 42815.858130: ffffffff8165ad0e _raw_spin_unlock_irqrestore qemu-system-x86 [000] 42815.858130: metric: 0.46 insn per cycle :4972 [000] 42815.858312: ffffffffa080e5f2 vmx_vcpu_run :4972 [000] 42815.858312: ffffffffa080e5f2 vmx_vcpu_run :4972 [000] 42815.858312: ffffffffa080e5f2 vmx_vcpu_run :4972 [000] 42815.858312: metric: 0.45 insn per cycle TopDown: This requires disabling SMT if you have it enabled, because SMT would require sampling per core, which is not supported. $ perf record -e '{ref-cycles,topdown-fetch-bubbles,\ topdown-recovery-bubbles,\ topdown-slots-retired,topdown-total-slots,\ topdown-slots-issued}:S' -a sleep 1 $ perf script --header -I -F cpu,ip,sym,event,metric,period ... [000] 121108 ref-cycles: ffffffff8165222e copy_user_enhanced_fast_string [000] 190350 topdown-fetch-bubbles: ffffffff8165222e copy_user_enhanced_fast_string [000] 2055 topdown-recovery-bubbles: ffffffff8165222e copy_user_enhanced_fast_string [000] 148729 topdown-slots-retired: ffffffff8165222e copy_user_enhanced_fast_string [000] 144324 topdown-total-slots: ffffffff8165222e copy_user_enhanced_fast_string [000] 160852 topdown-slots-issued: ffffffff8165222e copy_user_enhanced_fast_string [000] metric: 33.0% frontend bound [000] metric: 3.5% bad speculation [000] metric: 25.8% retiring [000] metric: 37.7% backend bound [000] 112112 ref-cycles: ffffffff8165aec8 _raw_spin_lock_irqsave [000] 357222 topdown-fetch-bubbles: ffffffff8165aec8 _raw_spin_lock_irqsave [000] 3325 topdown-recovery-bubbles: ffffffff8165aec8 _raw_spin_lock_irqsave [000] 323553 topdown-slots-retired: ffffffff8165aec8 _raw_spin_lock_irqsave [000] 270507 topdown-total-slots: ffffffff8165aec8 _raw_spin_lock_irqsave [000] 341226 topdown-slots-issued: ffffffff8165aec8 _raw_spin_lock_irqsave [000] metric: 33.0% frontend bound [000] metric: 2.9% bad speculation [000] metric: 29.9% retiring [000] metric: 34.2% backend bound ... v2: Use evsel->priv for new fields Port to new base line, support fp output. Handle stats in ->stats, not ->priv Minor cleanups Extra explanation about the use of the term 'averaging', from Andi in the thread in the Link: tag below: <quote Andi> The current samples contains the sum of event counts for a sampling period. EventA-1 EventA-2 EventA-3 EventA-4 EventB-1 EventB-2 EventC-3 gap with no events overflow |-----------------------------------------------------------------| period-start period-end ^ ^ | | previous sample current sample So EventA = 4 and EventB = 3 at the sample point I generate a metric, let's say EventA / EventB. It applies to the whole period. But the metric is over a longer time which does not have the same behavior. For example the gap above doesn't have any events, while they are clustered at the beginning and end of the sample period. But we're summing everything together. The metric doesn't know that the gap is different than the busy period. That's what I'm trying to express with averaging. </quote> Signed-off-by: Andi Kleen <ak@linux.intel.com> Acked-by: Jiri Olsa <jolsa@kernel.org> Link: http://lkml.kernel.org/r/20171117214300.32746-4-andi@firstfloor.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2017-11-18 04:43:00 +07:00
if (!metric_events)
return NULL;
perf stat: Support JSON metrics in perf stat Add generic support for standalone metrics specified in JSON files to perf stat. A metric is a formula that uses multiple events to compute a higher level result (e.g. IPC). Previously metrics were always tied to an event and automatically enabled with that event. But now change it that we can have standalone metrics. They are in the same JSON data structure as events, but don't have an event name. We also allow to organize the metrics in metric groups, which allows a short cut to select several related metrics at once. Add a new -M / --metrics option to perf stat that adds the metrics or metric groups specified. Add the core code to manage and parse the metric groups. They are collected from the JSON data structures into a separate rblist. When computing shadow values look for metrics in that list. Then they are computed using the existing saved values infrastructure in stat-shadow.c The actual JSON metrics are in a separate pull request. % perf stat -M Summary --metric-only -a sleep 1 Performance counter stats for 'system wide': Instructions CLKS CPU_Utilization GFLOPs SMT_2T_Utilization Kernel_Utilization 317614222.0 1392930775.0 0.0 0.0 0.2 0.1 1.001497549 seconds time elapsed % perf stat -M GFLOPs flops Performance counter stats for 'flops': 3,999,541,471 fp_comp_ops_exe.sse_scalar_single # 1.2 GFLOPs (66.65%) 14 fp_comp_ops_exe.sse_scalar_double (66.65%) 0 fp_comp_ops_exe.sse_packed_double (66.67%) 0 fp_comp_ops_exe.sse_packed_single (66.70%) 0 simd_fp_256.packed_double (66.70%) 0 simd_fp_256.packed_single (66.67%) 0 duration_time 3.238372845 seconds time elapsed v2: Add missing header file v3: Move find_map to pmu.c Signed-off-by: Andi Kleen <ak@linux.intel.com> Acked-by: Jiri Olsa <jolsa@kernel.org> Link: http://lkml.kernel.org/r/20170831194036.30146-7-andi@firstfloor.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2017-09-01 02:40:31 +07:00
nd = rblist__find(metric_events, &me);
if (nd)
return container_of(nd, struct metric_event, nd);
if (create) {
rblist__add_node(metric_events, &me);
nd = rblist__find(metric_events, &me);
if (nd)
return container_of(nd, struct metric_event, nd);
}
return NULL;
}
static int metric_event_cmp(struct rb_node *rb_node, const void *entry)
{
struct metric_event *a = container_of(rb_node,
struct metric_event,
nd);
const struct metric_event *b = entry;
if (a->evsel == b->evsel)
return 0;
if ((char *)a->evsel < (char *)b->evsel)
return -1;
return +1;
}
static struct rb_node *metric_event_new(struct rblist *rblist __maybe_unused,
const void *entry)
{
struct metric_event *me = malloc(sizeof(struct metric_event));
if (!me)
return NULL;
memcpy(me, entry, sizeof(struct metric_event));
me->evsel = ((struct metric_event *)entry)->evsel;
INIT_LIST_HEAD(&me->head);
return &me->nd;
}
static void metricgroup__rblist_init(struct rblist *metric_events)
{
rblist__init(metric_events);
metric_events->node_cmp = metric_event_cmp;
metric_events->node_new = metric_event_new;
}
struct egroup {
struct list_head nd;
int idnum;
const char **ids;
const char *metric_name;
const char *metric_expr;
};
static struct perf_evsel *find_evsel(struct perf_evlist *perf_evlist,
const char **ids,
int idnum,
struct perf_evsel **metric_events)
{
struct perf_evsel *ev, *start = NULL;
int ind = 0;
evlist__for_each_entry (perf_evlist, ev) {
if (!strcmp(ev->name, ids[ind])) {
metric_events[ind] = ev;
if (ind == 0)
start = ev;
if (++ind == idnum) {
metric_events[ind] = NULL;
return start;
}
} else {
ind = 0;
start = NULL;
}
}
/*
* This can happen when an alias expands to multiple
* events, like for uncore events.
* We don't support this case for now.
*/
return NULL;
}
static int metricgroup__setup_events(struct list_head *groups,
struct perf_evlist *perf_evlist,
struct rblist *metric_events_list)
{
struct metric_event *me;
struct metric_expr *expr;
int i = 0;
int ret = 0;
struct egroup *eg;
struct perf_evsel *evsel;
list_for_each_entry (eg, groups, nd) {
struct perf_evsel **metric_events;
metric_events = calloc(sizeof(void *), eg->idnum + 1);
if (!metric_events) {
ret = -ENOMEM;
break;
}
evsel = find_evsel(perf_evlist, eg->ids, eg->idnum,
metric_events);
if (!evsel) {
pr_debug("Cannot resolve %s: %s\n",
eg->metric_name, eg->metric_expr);
continue;
}
for (i = 0; i < eg->idnum; i++)
metric_events[i]->collect_stat = true;
me = metricgroup__lookup(metric_events_list, evsel, true);
if (!me) {
ret = -ENOMEM;
break;
}
expr = malloc(sizeof(struct metric_expr));
if (!expr) {
ret = -ENOMEM;
break;
}
expr->metric_expr = eg->metric_expr;
expr->metric_name = eg->metric_name;
expr->metric_events = metric_events;
list_add(&expr->nd, &me->head);
}
return ret;
}
static bool match_metric(const char *n, const char *list)
{
int len;
char *m;
if (!list)
return false;
if (!strcmp(list, "all"))
return true;
if (!n)
return !strcasecmp(list, "No_group");
len = strlen(list);
m = strcasestr(n, list);
if (!m)
return false;
if ((m == n || m[-1] == ';' || m[-1] == ' ') &&
(m[len] == 0 || m[len] == ';'))
return true;
return false;
}
struct mep {
struct rb_node nd;
const char *name;
struct strlist *metrics;
};
static int mep_cmp(struct rb_node *rb_node, const void *entry)
{
struct mep *a = container_of(rb_node, struct mep, nd);
struct mep *b = (struct mep *)entry;
return strcmp(a->name, b->name);
}
static struct rb_node *mep_new(struct rblist *rl __maybe_unused,
const void *entry)
{
struct mep *me = malloc(sizeof(struct mep));
if (!me)
return NULL;
memcpy(me, entry, sizeof(struct mep));
me->name = strdup(me->name);
if (!me->name)
goto out_me;
me->metrics = strlist__new(NULL, NULL);
if (!me->metrics)
goto out_name;
return &me->nd;
out_name:
free((char *)me->name);
out_me:
free(me);
return NULL;
}
static struct mep *mep_lookup(struct rblist *groups, const char *name)
{
struct rb_node *nd;
struct mep me = {
.name = name
};
nd = rblist__find(groups, &me);
if (nd)
return container_of(nd, struct mep, nd);
rblist__add_node(groups, &me);
nd = rblist__find(groups, &me);
if (nd)
return container_of(nd, struct mep, nd);
return NULL;
}
static void mep_delete(struct rblist *rl __maybe_unused,
struct rb_node *nd)
{
struct mep *me = container_of(nd, struct mep, nd);
strlist__delete(me->metrics);
free((void *)me->name);
free(me);
}
static void metricgroup__print_strlist(struct strlist *metrics, bool raw)
{
struct str_node *sn;
int n = 0;
strlist__for_each_entry (sn, metrics) {
if (raw)
printf("%s%s", n > 0 ? " " : "", sn->s);
else
printf(" %s\n", sn->s);
n++;
}
if (raw)
putchar('\n');
}
void metricgroup__print(bool metrics, bool metricgroups, char *filter,
bool raw, bool details)
{
struct pmu_events_map *map = perf_pmu__find_map(NULL);
struct pmu_event *pe;
int i;
struct rblist groups;
struct rb_node *node, *next;
struct strlist *metriclist = NULL;
if (!map)
return;
if (!metricgroups) {
metriclist = strlist__new(NULL, NULL);
if (!metriclist)
return;
}
rblist__init(&groups);
groups.node_new = mep_new;
groups.node_cmp = mep_cmp;
groups.node_delete = mep_delete;
for (i = 0; ; i++) {
const char *g;
pe = &map->table[i];
if (!pe->name && !pe->metric_group && !pe->metric_name)
break;
if (!pe->metric_expr)
continue;
g = pe->metric_group;
if (!g && pe->metric_name) {
if (pe->name)
continue;
g = "No_group";
}
if (g) {
char *omg;
char *mg = strdup(g);
if (!mg)
return;
omg = mg;
while ((g = strsep(&mg, ";")) != NULL) {
struct mep *me;
char *s;
g = skip_spaces(g);
if (*g == 0)
g = "No_group";
if (filter && !strstr(g, filter))
continue;
if (raw)
s = (char *)pe->metric_name;
else {
if (asprintf(&s, "%s\n%*s%s]",
pe->metric_name, 8, "[", pe->desc) < 0)
return;
if (details) {
if (asprintf(&s, "%s\n%*s%s]",
s, 8, "[", pe->metric_expr) < 0)
return;
}
}
if (!s)
continue;
if (!metricgroups) {
strlist__add(metriclist, s);
} else {
me = mep_lookup(&groups, g);
if (!me)
continue;
strlist__add(me->metrics, s);
}
}
free(omg);
}
}
if (metricgroups && !raw)
printf("\nMetric Groups:\n\n");
else if (metrics && !raw)
printf("\nMetrics:\n\n");
for (node = rb_first_cached(&groups.entries); node; node = next) {
struct mep *me = container_of(node, struct mep, nd);
if (metricgroups)
printf("%s%s%s", me->name, metrics ? ":" : "", raw ? " " : "\n");
if (metrics)
metricgroup__print_strlist(me->metrics, raw);
next = rb_next(node);
rblist__remove_node(&groups, node);
}
if (!metricgroups)
metricgroup__print_strlist(metriclist, raw);
strlist__delete(metriclist);
}
perf stat: Support JSON metrics in perf stat Add generic support for standalone metrics specified in JSON files to perf stat. A metric is a formula that uses multiple events to compute a higher level result (e.g. IPC). Previously metrics were always tied to an event and automatically enabled with that event. But now change it that we can have standalone metrics. They are in the same JSON data structure as events, but don't have an event name. We also allow to organize the metrics in metric groups, which allows a short cut to select several related metrics at once. Add a new -M / --metrics option to perf stat that adds the metrics or metric groups specified. Add the core code to manage and parse the metric groups. They are collected from the JSON data structures into a separate rblist. When computing shadow values look for metrics in that list. Then they are computed using the existing saved values infrastructure in stat-shadow.c The actual JSON metrics are in a separate pull request. % perf stat -M Summary --metric-only -a sleep 1 Performance counter stats for 'system wide': Instructions CLKS CPU_Utilization GFLOPs SMT_2T_Utilization Kernel_Utilization 317614222.0 1392930775.0 0.0 0.0 0.2 0.1 1.001497549 seconds time elapsed % perf stat -M GFLOPs flops Performance counter stats for 'flops': 3,999,541,471 fp_comp_ops_exe.sse_scalar_single # 1.2 GFLOPs (66.65%) 14 fp_comp_ops_exe.sse_scalar_double (66.65%) 0 fp_comp_ops_exe.sse_packed_double (66.67%) 0 fp_comp_ops_exe.sse_packed_single (66.70%) 0 simd_fp_256.packed_double (66.70%) 0 simd_fp_256.packed_single (66.67%) 0 duration_time 3.238372845 seconds time elapsed v2: Add missing header file v3: Move find_map to pmu.c Signed-off-by: Andi Kleen <ak@linux.intel.com> Acked-by: Jiri Olsa <jolsa@kernel.org> Link: http://lkml.kernel.org/r/20170831194036.30146-7-andi@firstfloor.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2017-09-01 02:40:31 +07:00
static int metricgroup__add_metric(const char *metric, struct strbuf *events,
struct list_head *group_list)
{
struct pmu_events_map *map = perf_pmu__find_map(NULL);
perf stat: Support JSON metrics in perf stat Add generic support for standalone metrics specified in JSON files to perf stat. A metric is a formula that uses multiple events to compute a higher level result (e.g. IPC). Previously metrics were always tied to an event and automatically enabled with that event. But now change it that we can have standalone metrics. They are in the same JSON data structure as events, but don't have an event name. We also allow to organize the metrics in metric groups, which allows a short cut to select several related metrics at once. Add a new -M / --metrics option to perf stat that adds the metrics or metric groups specified. Add the core code to manage and parse the metric groups. They are collected from the JSON data structures into a separate rblist. When computing shadow values look for metrics in that list. Then they are computed using the existing saved values infrastructure in stat-shadow.c The actual JSON metrics are in a separate pull request. % perf stat -M Summary --metric-only -a sleep 1 Performance counter stats for 'system wide': Instructions CLKS CPU_Utilization GFLOPs SMT_2T_Utilization Kernel_Utilization 317614222.0 1392930775.0 0.0 0.0 0.2 0.1 1.001497549 seconds time elapsed % perf stat -M GFLOPs flops Performance counter stats for 'flops': 3,999,541,471 fp_comp_ops_exe.sse_scalar_single # 1.2 GFLOPs (66.65%) 14 fp_comp_ops_exe.sse_scalar_double (66.65%) 0 fp_comp_ops_exe.sse_packed_double (66.67%) 0 fp_comp_ops_exe.sse_packed_single (66.70%) 0 simd_fp_256.packed_double (66.70%) 0 simd_fp_256.packed_single (66.67%) 0 duration_time 3.238372845 seconds time elapsed v2: Add missing header file v3: Move find_map to pmu.c Signed-off-by: Andi Kleen <ak@linux.intel.com> Acked-by: Jiri Olsa <jolsa@kernel.org> Link: http://lkml.kernel.org/r/20170831194036.30146-7-andi@firstfloor.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2017-09-01 02:40:31 +07:00
struct pmu_event *pe;
int ret = -EINVAL;
int i, j;
if (!map)
return 0;
for (i = 0; ; i++) {
pe = &map->table[i];
if (!pe->name && !pe->metric_group && !pe->metric_name)
break;
if (!pe->metric_expr)
continue;
if (match_metric(pe->metric_group, metric) ||
match_metric(pe->metric_name, metric)) {
const char **ids;
int idnum;
struct egroup *eg;
pr_debug("metric expr %s for %s\n", pe->metric_expr, pe->metric_name);
if (expr__find_other(pe->metric_expr,
NULL, &ids, &idnum) < 0)
continue;
if (events->len > 0)
strbuf_addf(events, ",");
for (j = 0; j < idnum; j++) {
pr_debug("found event %s\n", ids[j]);
strbuf_addf(events, "%s%s",
j == 0 ? "{" : ",",
ids[j]);
}
strbuf_addf(events, "}:W");
eg = malloc(sizeof(struct egroup));
if (!eg) {
ret = -ENOMEM;
break;
}
eg->ids = ids;
eg->idnum = idnum;
eg->metric_name = pe->metric_name;
eg->metric_expr = pe->metric_expr;
list_add_tail(&eg->nd, group_list);
ret = 0;
}
}
return ret;
}
static int metricgroup__add_metric_list(const char *list, struct strbuf *events,
struct list_head *group_list)
{
char *llist, *nlist, *p;
int ret = -EINVAL;
nlist = strdup(list);
if (!nlist)
return -ENOMEM;
llist = nlist;
strbuf_init(events, 100);
strbuf_addf(events, "%s", "");
perf stat: Support JSON metrics in perf stat Add generic support for standalone metrics specified in JSON files to perf stat. A metric is a formula that uses multiple events to compute a higher level result (e.g. IPC). Previously metrics were always tied to an event and automatically enabled with that event. But now change it that we can have standalone metrics. They are in the same JSON data structure as events, but don't have an event name. We also allow to organize the metrics in metric groups, which allows a short cut to select several related metrics at once. Add a new -M / --metrics option to perf stat that adds the metrics or metric groups specified. Add the core code to manage and parse the metric groups. They are collected from the JSON data structures into a separate rblist. When computing shadow values look for metrics in that list. Then they are computed using the existing saved values infrastructure in stat-shadow.c The actual JSON metrics are in a separate pull request. % perf stat -M Summary --metric-only -a sleep 1 Performance counter stats for 'system wide': Instructions CLKS CPU_Utilization GFLOPs SMT_2T_Utilization Kernel_Utilization 317614222.0 1392930775.0 0.0 0.0 0.2 0.1 1.001497549 seconds time elapsed % perf stat -M GFLOPs flops Performance counter stats for 'flops': 3,999,541,471 fp_comp_ops_exe.sse_scalar_single # 1.2 GFLOPs (66.65%) 14 fp_comp_ops_exe.sse_scalar_double (66.65%) 0 fp_comp_ops_exe.sse_packed_double (66.67%) 0 fp_comp_ops_exe.sse_packed_single (66.70%) 0 simd_fp_256.packed_double (66.70%) 0 simd_fp_256.packed_single (66.67%) 0 duration_time 3.238372845 seconds time elapsed v2: Add missing header file v3: Move find_map to pmu.c Signed-off-by: Andi Kleen <ak@linux.intel.com> Acked-by: Jiri Olsa <jolsa@kernel.org> Link: http://lkml.kernel.org/r/20170831194036.30146-7-andi@firstfloor.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2017-09-01 02:40:31 +07:00
while ((p = strsep(&llist, ",")) != NULL) {
ret = metricgroup__add_metric(p, events, group_list);
if (ret == -EINVAL) {
fprintf(stderr, "Cannot find metric or group `%s'\n",
p);
break;
}
}
free(nlist);
return ret;
}
static void metricgroup__free_egroups(struct list_head *group_list)
{
struct egroup *eg, *egtmp;
int i;
list_for_each_entry_safe (eg, egtmp, group_list, nd) {
for (i = 0; i < eg->idnum; i++)
free((char *)eg->ids[i]);
free(eg->ids);
free(eg);
}
}
int metricgroup__parse_groups(const struct option *opt,
const char *str,
struct rblist *metric_events)
{
struct parse_events_error parse_error;
struct perf_evlist *perf_evlist = *(struct perf_evlist **)opt->value;
struct strbuf extra_events;
LIST_HEAD(group_list);
int ret;
if (metric_events->nr_entries == 0)
metricgroup__rblist_init(metric_events);
ret = metricgroup__add_metric_list(str, &extra_events, &group_list);
if (ret)
return ret;
pr_debug("adding %s\n", extra_events.buf);
memset(&parse_error, 0, sizeof(struct parse_events_error));
ret = parse_events(perf_evlist, extra_events.buf, &parse_error);
if (ret) {
parse_events_print_error(&parse_error, extra_events.buf);
perf stat: Support JSON metrics in perf stat Add generic support for standalone metrics specified in JSON files to perf stat. A metric is a formula that uses multiple events to compute a higher level result (e.g. IPC). Previously metrics were always tied to an event and automatically enabled with that event. But now change it that we can have standalone metrics. They are in the same JSON data structure as events, but don't have an event name. We also allow to organize the metrics in metric groups, which allows a short cut to select several related metrics at once. Add a new -M / --metrics option to perf stat that adds the metrics or metric groups specified. Add the core code to manage and parse the metric groups. They are collected from the JSON data structures into a separate rblist. When computing shadow values look for metrics in that list. Then they are computed using the existing saved values infrastructure in stat-shadow.c The actual JSON metrics are in a separate pull request. % perf stat -M Summary --metric-only -a sleep 1 Performance counter stats for 'system wide': Instructions CLKS CPU_Utilization GFLOPs SMT_2T_Utilization Kernel_Utilization 317614222.0 1392930775.0 0.0 0.0 0.2 0.1 1.001497549 seconds time elapsed % perf stat -M GFLOPs flops Performance counter stats for 'flops': 3,999,541,471 fp_comp_ops_exe.sse_scalar_single # 1.2 GFLOPs (66.65%) 14 fp_comp_ops_exe.sse_scalar_double (66.65%) 0 fp_comp_ops_exe.sse_packed_double (66.67%) 0 fp_comp_ops_exe.sse_packed_single (66.70%) 0 simd_fp_256.packed_double (66.70%) 0 simd_fp_256.packed_single (66.67%) 0 duration_time 3.238372845 seconds time elapsed v2: Add missing header file v3: Move find_map to pmu.c Signed-off-by: Andi Kleen <ak@linux.intel.com> Acked-by: Jiri Olsa <jolsa@kernel.org> Link: http://lkml.kernel.org/r/20170831194036.30146-7-andi@firstfloor.org Signed-off-by: Arnaldo Carvalho de Melo <acme@redhat.com>
2017-09-01 02:40:31 +07:00
goto out;
}
strbuf_release(&extra_events);
ret = metricgroup__setup_events(&group_list, perf_evlist,
metric_events);
out:
metricgroup__free_egroups(&group_list);
return ret;
}
bool metricgroup__has_metric(const char *metric)
{
struct pmu_events_map *map = perf_pmu__find_map(NULL);
struct pmu_event *pe;
int i;
if (!map)
return false;
for (i = 0; ; i++) {
pe = &map->table[i];
if (!pe->name && !pe->metric_group && !pe->metric_name)
break;
if (!pe->metric_expr)
continue;
if (match_metric(pe->metric_name, metric))
return true;
}
return false;
}