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### Dstat all I/O process plugin
### Displays all processes' I/O read/write stats and CPU usage
###
### Authority: Guillermo Cantu Luna
class dstat_plugin(dstat):
def __init__(self):
self.name = 'most expensive cpu process'
self.vars = ('process pid cpu read write',)
self.type = 's'
self.width = 40
self.scale = 0
self.pidset1 = {}
def check(self):
if not os.access('/proc/self/io', os.R_OK):
raise Exception('Kernel has no per-process I/O accounting [CONFIG_TASK_IO_ACCOUNTING], use at least 2.6.20')
return True
def extract(self):
self.output = ''
self.pidset2 = {}
self.val['cpu_usage'] = 0
for pid in proc_pidlist():
try:
### Reset values
if pid not in self.pidset2:
self.pidset2[pid] = {'rchar:': 0, 'wchar:': 0, 'cputime:': 0, 'cpuper:': 0}
if pid not in self.pidset1:
self.pidset1[pid] = {'rchar:': 0, 'wchar:': 0, 'cputime:': 0, 'cpuper:': 0}
### Extract name
name = proc_splitline('/proc/%s/stat' % pid)[1][1:-1]
### Extract counters
for l in proc_splitlines('/proc/%s/io' % pid):
if len(l) != 2: continue
self.pidset2[pid][l[0]] = int(l[1])
### Get CPU usage
l = proc_splitline('/proc/%s/stat' % pid)
if len(l) < 15:
cpu_usage = 0.0
else:
self.pidset2[pid]['cputime:'] = int(l[13]) + int(l[14])
cpu_usage = (self.pidset2[pid]['cputime:'] - self.pidset1[pid]['cputime:']) * 1.0 / elapsed / cpunr
except ValueError:
continue
except IOError:
continue
except IndexError:
continue
read_usage = (self.pidset2[pid]['rchar:'] - self.pidset1[pid]['rchar:']) * 1.0 / elapsed
write_usage = (self.pidset2[pid]['wchar:'] - self.pidset1[pid]['wchar:']) * 1.0 / elapsed
### Get the process that spends the most jiffies
if cpu_usage > self.val['cpu_usage']:
self.val['read_usage'] = read_usage
self.val['write_usage'] = write_usage
self.val['pid'] = pid
self.val['name'] = getnamebypid(pid, name)
self.val['cpu_usage'] = cpu_usage
if step == op.delay:
self.pidset1 = self.pidset2
if self.val['cpu_usage'] != 0.0:
self.output = '%-*s%s%-5s%s%s%%%s%s' % (self.width-14-len(pid), self.val['name'][0:self.width-14-len(pid)], color['darkblue'], self.val['pid'], cprint(self.val['cpu_usage'], 'f', 3, 34), color['darkgray'],cprint(self.val['read_usage'], 'd', 5, 1024), cprint(self.val['write_usage'], 'd', 5, 1024))
def showcsv(self):
return 'Top: %s\t%s\t%s\t%s' % (self.val['name'][0:self.width-20], self.val['cpu_usage'], self.val['read_usage'], self.val['write_usage'])