4.3.3. Determining Time Spent in Kernel and User Space
Este conteúdo não está disponível no idioma selecionado.
4.3.3. Determining Time Spent in Kernel and User Space
This section illustrates how to determine the amount of time any given thread is spending in either kernel or user-space.
thread-times.stp
#! /usr/bin/env stap
probe perf.sw.cpu_clock!, timer.profile {
// NB: To avoid contention on SMP machines, no global scalars/arrays used,
// only contention-free statistics aggregates.
tid=tid(); e=execname()
if (!user_mode())
kticks[e,tid] <<< 1
else
uticks[e,tid] <<< 1
ticks <<< 1
tids[e,tid] <<< 1
}
global uticks, kticks, ticks
global tids
probe timer.s(5), end {
allticks = @count(ticks)
printf ("%16s %5s %7s %7s (of %d ticks)\n",
"comm", "tid", "%user", "%kernel", allticks)
foreach ([e,tid] in tids- limit 20) {
uscaled = @count(uticks[e,tid])*10000/allticks
kscaled = @count(kticks[e,tid])*10000/allticks
printf ("%16s %5d %3d.%02d%% %3d.%02d%%\n",
e, tid, uscaled/100, uscaled%100, kscaled/100, kscaled%100)
}
printf("\n")
delete uticks
delete kticks
delete ticks
delete tids
}
#! /usr/bin/env stap
probe perf.sw.cpu_clock!, timer.profile {
// NB: To avoid contention on SMP machines, no global scalars/arrays used,
// only contention-free statistics aggregates.
tid=tid(); e=execname()
if (!user_mode())
kticks[e,tid] <<< 1
else
uticks[e,tid] <<< 1
ticks <<< 1
tids[e,tid] <<< 1
}
global uticks, kticks, ticks
global tids
probe timer.s(5), end {
allticks = @count(ticks)
printf ("%16s %5s %7s %7s (of %d ticks)\n",
"comm", "tid", "%user", "%kernel", allticks)
foreach ([e,tid] in tids- limit 20) {
uscaled = @count(uticks[e,tid])*10000/allticks
kscaled = @count(kticks[e,tid])*10000/allticks
printf ("%16s %5d %3d.%02d%% %3d.%02d%%\n",
e, tid, uscaled/100, uscaled%100, kscaled/100, kscaled%100)
}
printf("\n")
delete uticks
delete kticks
delete ticks
delete tids
}
Copy to ClipboardCopied!Toggle word wrapToggle overflow
thread-times.stp lists the top 20 processes currently taking up CPU time within a 5-second sample, along with the total number of CPU ticks made during the sample. The output of this script also notes the percentage of CPU time each process used, as well as whether that time was spent in kernel space or user space.
Ajudamos os usuários da Red Hat a inovar e atingir seus objetivos com nossos produtos e serviços com conteúdo em que podem confiar. Explore nossas atualizações recentes.
Tornando o open source mais inclusivo
A Red Hat está comprometida em substituir a linguagem problemática em nosso código, documentação e propriedades da web. Para mais detalhes veja o Blog da Red Hat.
Sobre a Red Hat
Fornecemos soluções robustas que facilitam o trabalho das empresas em plataformas e ambientes, desde o data center principal até a borda da rede.