core-extra/scripts/perf/perflogserver.py
2013-08-29 14:21:13 +00:00

588 lines
22 KiB
Python
Executable file

#!/usr/bin/env python
#
# (c)2011-2012 the Boeing Company
#
# perfmon.py - CORE server and node performace metrics logger and alarmer
# server metrics: loadave1, 5, 15, mem, used cpu% of total, cpu1, cpu2, ..., cpun
# node metrics: throughput, mem, cpu total, usr, sys, wait
#
import os, sys, time, re, optparse, signal, commands, pdb
def readfile(fname):
lines=[]
try:
f = open(fname, "r")
except:
if options.timestamp == True:
print str(time.time()),
print "ERROR: failed to open file %s\n" % fname
else :
lines = f.readlines()
f.close()
return lines
def numcpus():
lines = readfile("/proc/stat")
n = 0
for l in lines[1:]:
if l[:3] != "cpu":
break
n += 1
return n
def handler(signum, frame):
print "stop timestamp:", str(time.time()) + ", cyclecount=", cyclecount, ", caught signal", signum
sys.exit(0)
class ServerMetrics(object):
def __init__(self):
self.smetrics = { "serverloadavg1" : 0.0,
"serverloadavg5" : 0.0,
"serverloadavg15" : 0.0,
"serverusedmemory" : 0.0,
"serverusedcputime" : 0.0,
"processorusedcputime" : [] }
# set values from val = (nump, ldavg1, ldavg5, adavg15, mem, cpu, p1cpu, p2cpu...)
def setvalues(self, val):
self.smetrics["serverloadavg1"] = val[0]
self.smetrics["serverloadavg5"] = val[1]
self.smetrics["serverloadavg15"] = val[2]
self.smetrics["serverusedmemory"] = val[4]
self.smetrics["serverusedcputime"] = val[5]
#print self.smetrics.keys(), self.smetrics.values()
pcpu = []
for ind in range(5,len(val)):
pcpu.append(val[ind])
# print "[" + ",".join(map(lambda(x):str(round(x, 2)), pcpu)) +"]"
self.smetrics["processorusedcputime"] = pcpu
#print self.smetrics.keys(), self.smetrics.values()
def setvalue(self, key, val):
self.smetrics[key] = val
def getvalue(self, key):
return self.smetrics[key]
def getkeys(self):
return self.smetrics.keys()
def tocsv(self):
rv = "Server"
for k in self.smetrics:
# print k, self.smetrics[k]
if isinstance(self.smetrics[k], float):
rv += ", %.2f" % self.smetrics[k]
else:
if isinstance(self.smetrics[k], list):
rv += ", [" + \
", ".join(map(lambda(x):str(round(x, 2)), self.smetrics[k])) \
+ "]"
else:
rv += ", " + str(self.smetrics[k])
return rv
def readserverthresholds(filename):
if filename is None:
return
lines = readfile(filename)
for l in lines:
mval = l.strip().split('=')
#print "read line %s" % mval
if len(mval) > 1 :
thekey = mval[0].strip()
theval = mval[1].strip()
if thekey in serverthresholds.getkeys():
serverthresholds.setvalue(thekey, float(theval))
# print thekey," = %.2f" % float(theval)
def checkserverthreshold(metricval):
# print out an alarm if a ServerMetrics value crosses threshold
for key in serverthresholds.getkeys():
# print "checking threshold of key = ", key
if key == "processorusedcputime":
pcpus = metricval.getvalue(key)
# print key, pcpus, serverthresholds[key]
for ind in range(0, len(pcpus)):
# print ind, pcpus[ind]
if pcpus[ind] > serverthresholds.getvalue(key):
alarm = ["server", os.uname()[1], str(ind) + key,
"%.2f" % pcpus[ind], ">", serverthresholds.getvalue(key)]
if options.timestamp:
print str(time.time()) + ",",
print ", ".join(map(lambda(x):str(x), alarm))
else:
if metricval.getvalue(key) > serverthresholds.getvalue(key):
alarm = ["server", os.uname()[1], key,
"%.2f" % metricval.getvalue(key), ">", serverthresholds.getvalue(key)]
if options.timestamp:
print str(time.time()) + ",",
print ", ".join(map(lambda(x):str(x), alarm))
def collectservercputimes():
# return cpu times in ticks of this server total and each processor 3*(1+#cpu) columns
# (user+nice, sys, idle) from each /proc/stat cpu lines assume columns are:
# cpu# user nice sys idle iowait irq softirq steal guest (man 5 proc)
rval = {}
lines = readfile("/proc/stat")
for i in range(ncpus + 1):
items = lines[i].split()
(user, nice, sys, idle) = map(lambda(x): int(x), items[1:5])
rval[i] = [user+nice, sys, idle]
return rval
def csvservercputimes(cputimes):
# return a csv string of this server total and each processor's cpu times
# (usr, sys, idle) in ticks
rval = ''
for i in range(len(cputimes)):
rval += ', '.join(map(lambda(x):str(x), cputimes[i]))
return rval
def calcservercputimes(cputimea, cputimeb):
# return cpu used/total % of this server total and each processor (1+#cpu columns)
p = {}
for n in range(ncpus + 1):
# print cputimeb[n]
p[n] = []
for i in range(len(cputimea[n])):
p[n].append(cputimeb[n][i] - cputimea[n][i])
# print p[n]
total = sum(p[n]) # cpu times total delta
# print total
if total == 0:
p[n] = 0.0
else:
p[n] = 100 - ((100.0 * p[n][-1]) / total)
return p
def collectservermems():
# return memory (total, free) in KB from proc/meminfo
lines = readfile("/proc/meminfo")
mem = map(lambda(x):x.split(), lines[0:2])
return map(lambda(x):int(x), zip(*mem)[1])
def csvservermems(mems):
# return a csv string of this server memory (total, free)
return ", ".join(map(lambda x: str(x), mems))
def calcserverusedmem(mems):
# return int(100*(MemTotal-MemFree)/MemTotal) from /proc/meminfo
return 100 * (mems[0] - mems[1]) / mems[0]
def collectservermetrics(cputimes, mems, thresholdcheck):
# return ServerMetrics object with a dictionary of
# loadavg1,loadavg5,loadavg15, usedmem%, usedcpu% for total, cpu1, cpu2, ...
metricval = []
ldavgs=os.getloadavg()
for v in ldavgs:
metricval.append(v)
metricval.append(calcserverusedmem(mems))
for i in range(ncpus + 1):
metricval.append(cputimes[i])
# print cputimes[i]
srvmetrics = ServerMetrics()
srvmetrics.setvalues(metricval)
# print srvmetrics.tocsv()
if thresholdcheck:
checkserverthreshold(srvmetrics)
return srvmetrics
def csvservermetrics(srvmetrics):
# return a csv string of ServerMetrics.tocsv()
# loadavg1,loadavg5,loadavg15, usedmem%, usedcpu% for total, cpu1, cpu2, ...
rv = ""
if options.timestamp:
rv = str(time.time()) + ", "
rv += srvmetrics.tocsv()
return rv
def csvserverbaseline():
# return a csv string of raw server metrics data: memfree, memtotal, cpuused, cpusystem, cpuidle
return "memory (total, free) = " + csvservermems(collectservermems()) + "\ncputime (used, sys, idl) = " + csvservercputimes(collectservercputimes())
class NodeMetrics(object):
def __init__(self):
self.nmetrics = {"nodethroughput" : 0.0,
"nodeusedmemory" : 0.0,
"nodetotalcpu" : 0.0,
"nodeusercpu" : 0.0,
"nodesystemcpu" : 0.0,
"nodewaitcpu" : 0.0}
# set values from val = (throughput, mem, tcpu, ucpu, scpu, wcpu):
def setvalues(self, val):
self.nmetrics["nodethroughput"] = val[0]
self.nmetrics["nodeusedmemory"] = val[1]
self.nmetrics["nodetotalcpu"] = val[2]
self.nmetrics["nodeusercpu"] = val[3]
self.nmetrics["nodesystemcpu"] = val[4]
self.nmetrics["nodewaitcpu"] = val[5]
def setvalue(self, key, val):
self.nmetrics[key] = val
def getvalue(self, key):
return self.nmetrics[key]
def getkeys(self):
return self.nmetrics.keys()
def tocsv(self):
return ", ".join(map(lambda(x):str(x), self.nmetrics.values()))
class LogSession(object):
def __init__(self):
self.nodethresholds = NodeMetrics()
# set node threshold default values:
# nodethroughput=20.0, nodeusedmemory=15.0, nodetotalcpu=90.0,
# nodeusercpu=30.0, nodewaitcpu=50.0, nodesystemcpu=20.0}
self.nodethresholds.setvalues([20.0, 15.0, 90.0, 30.0, 50.0, 20.0])
if options.configfile is not None:
self.readnodethresholds(options.configfile)
self.pids = {}
self.nodemetricsA = {}
self.nodemetricsB = {}
self.nodemetricsC = {}
def getpids(self):
# return dict of all CORE session pids in a dict using node name as the keys
# parent pid (vnoded) is the first value
self.pids = {}
nodes = commands.getstatusoutput("ls /tmp/pycore.%s/*pid" % options.session)
if nodes[0] != 0:
# if options.timestamp == True:
# print str(time.time()),
# print "CORE session %s has not created nodes" % options.session
return
nodes = nodes[1].split('\n')
for nod in nodes:
nodename = nod.split('/')[-1].strip(".pid")
self.pids[nodename] = commands.getoutput("cat %s" % nod)
# do not expect failure of this command
procs = commands.getoutput('ps -eo ppid,pid,comm').split('\n')
# build self.pids dict with key=nodename and val="ppid,pid,cmd"
for nname in self.pids:
# print nname, self.pids[nname]
if self.pids[nname] == "":
if options.timestamp == True:
print str(time.time()),
print "ERROR: null vnoded pid of node: %s" % nname
else:
childprocs = []
ppid = self.pids[nname]
for proc in procs:
val=proc.split()
if ppid == val[1]:
childprocs.append([val[1], val[2]] )
if ppid == val[0]:
childprocs.append([val[1], val[2]])
self.pids[nname] = childprocs
# print nname, self.pids[nname]
return self.pids
def printsesspids(self):
if self.pids == {}:
return {}
for pp in self.pids:
if self.pids[pp] != []:
for ap in range(len(self.pids[pp]) - 1):
print ", " + self.pids[pp][ap][0], # ap pid
print ", " + self.pids[pp][ap][1], # ap cmd
procmetrics = map(lambda(x):str(x),self.pids[pp][ap][-1])
print ", " + ", ".join(procmetrics),
nodemetrics = map(lambda(x):str(x), self.pids[pp][-1])
print ", " + ", ".join(nodemetrics)
def getprocessmetrics(self, pid):
# return [cpu#, vsize(kb), ttime, utime, stime, wtime]
# from a /proc/pid/stat (a single line file) assume columns are:
# pid(0) comm(1) state ppid pgrp sess tty_nr tpgid flags
# minflt cmiflt majflt cmajflt # utime(12) stime cutime cstime
# priority nice num_threads itrealvalue starttime vsize(22) rss rsslim
# startcode endcode startstack kstkesp signal blocked sigignore sigcatch
# wchan nswap cnswap exit_signal processor(38) rt_priority
# policy ioblock guest_time cguest_time (man 5 proc)
#rval = ProcessMetrics()
#rval.__init__()
rval = {}
lines = readfile("/proc/" + pid + "/stat")
if lines == []:
return rval
items = lines[0].split()
(utime, stime, cutime, cstime) = map(lambda(x):int(x), items[13:17])
# print ">???", utime, stime, cutime, cstime
rval = (items[38], # last run processor
int(items[22])/1000, # process virtual mem in kb
utime + stime + cutime + cstime,# totoal time
utime, # user time
stime, # system time
cutime + cstime) # wait time
# print "pid --- processmetrics", rval
return rval
def getnodethroughput(self, pid):
# return node throughput of total receive and transmit packets in kb
lines = readfile("/proc/" + pid + "/net/dev")
if lines == []:
return -0.00
ifs = map(lambda(x): x.split(), lines[2:])
ifm = zip(*ifs)
rv = sum(map(lambda(x):int(x), ifm[1])) # received bytes
tr = sum(map(lambda(x):int(x), ifm[9])) # transmited bytes
#print 'node thruput :', rv, tr, (rv + tr)/1000
return (rv + tr)/1000
def getnodemetrics(self, mindex):
# return NodeMetrics with indexed by nodename, values are rows of
# [ [ppid, vnoded, [cpu#, vmem(kb), ttime, utime, stime, wtime]],
# [cpid, cmd, [cpu#, vmem(kb), ttime, utime, stime, wtime]], ... ,
# [thrput, vmem(kb), ttime, utime, stime, wtime]]
if mindex == 'a':
metricref = self.nodemetricsA
else:
metricref = self.nodemetricsB
self.getpids()
# print " inside getnodemetrics()", self.pids
if self.pids == {}:
return {}
for nod in self.pids:
nmetric = NodeMetrics()
nmetric.__init__()
nodeapps = {}
for ap in range(len(self.pids[nod])): # get each process metrics
procm = self.getprocessmetrics(self.pids[nod][ap][0])
if procm == []:
if options.timestamp == True:
print str(time.time()),
print "WARNING: transient process", self.pids[nod][ap][1], \
"/", self.pids[nod][ap][0], "on node %s" % nod
else:
nodeapps[ap] = procm
self.pids[nod][ap].append(nodeapps[ap])
processm = zip(*nodeapps.values()) # get overall node metrics
# print processm
if len(processm) > 0:
# if nod == 'n6':
# print nod, self.getnodethroughput(self.pids[nod][0][0])
nmetric.setvalues(( self.getnodethroughput(self.pids[nod][0][0]),
sum(map(lambda(x):int(x), processm[1])), # vsize(kb)
sum(map(lambda(x):int(x), processm[2])), # ttime
sum(map(lambda(x):int(x), processm[3])), # utime
sum(map(lambda(x):int(x), processm[4])), # stime
sum(map(lambda(x):int(x), processm[5])))) # wtime
metricref[nod] = nmetric
# print nod, self.pids[nod][0][0], metricref[nod].tocsv()
return metricref
def setnodemetricsC(self, key, val):
self.nodemetricsC[key] = val
def printnodemetrics(self, mindex):
if mindex == 'c':
mm = self.nodemetricsC
else:
if mindex == 'a':
mm = self.nodemetricsA
else:
mm = self.nodemetricsB
for k in self.nodemetricsC:
if options.timestamp:
print str(time.time()) + ",",
print k, ",", mm[k].tocsv()
def readnodethresholds(self, filename):
if filename is None:
return
lines = readfile(filename)
for l in lines:
mval = l.strip().split('=')
# print "read line %s" % mval
if len(mval) > 1 :
thekey = mval[0].strip()
theval = mval[1].strip()
if thekey in self.nodethresholds.getkeys():
self.nodethresholds.setvalue(thekey, float(theval))
#print thekey," = %.2f" % float(theval)
def checknodethresholds(self, nname):
# print "check node thresholds", nname
calcm = self.nodemetricsC[nname]
for keyname in self.nodethresholds.getkeys():
# print "HIII", keyname, calcm.getvalue(keyname), self.nodethresholds.getvalue(keyname)
if float(calcm.getvalue(keyname)) > float(self.nodethresholds.getvalue(keyname)):
# print calculatednodem.getvalue(m)
alarm = ["node", nname + "/" + self.pids[nname][0][0], keyname,\
calcm.getvalue(keyname), ">", self.nodethresholds.getvalue(keyname)]
if options.timestamp:
print str(time.time()) + ",",
print ", ".join(map(lambda(x):str(x), alarm))
def calcnodemetrics(self, cputimea, cputimeb, mems):
# return a dict of nodemetrics indexed by node name
# nodemetrics[nodename][-1] = node/host%
p = []
for i in range(len(cputimeb[0])):
p.append(cputimeb[0][i] - cputimea[0][i])
hostusedcpu = p[0] + p[1]
hostusedmem = mems[0] - mems[1]
if hostusedcpu == 0:
print "WARNING: host used cpu = 0, ", p[0], p[1]
hostusedcpu = 1
if hostusedmem == 0:
print "WARNING: host used mem = 0, ", mems[0], mems[1]
hostusedmem = 1
nodesa = self.nodemetricsA
nodesb = self.nodemetricsB
for nod in nodesb:
calcm = self.nodemetricsC
calcm = NodeMetrics()
calcm.__init__()
if (nod in nodesa):
try:
if (nodesb[nod] == []) | (nodesa[nod] == []) | \
( False == isinstance(nodesb[nod], NodeMetrics)) | \
( False == isinstance(nodesa[nod], NodeMetrics)):
if options.timestamp == True:
print str(time.time()),
print "Warning: nodes %s is not fully instanciated" % nod
else:
# calc throughput kbps
#print "node b : ", nodesb[nod].tocsv()
#print "node a : ", nodesa[nod].tocsv()
#if nod == 'n6':
#print nodesb[nod].getvalue("nodethroughput"), nodesa[nod].getvalue("nodethroughput")
calcm.setvalue("nodethroughput", "%.2f" % (8 * (nodesb[nod].getvalue("nodethroughput") \
- nodesa[nod].getvalue("nodethroughput")) / options.interval))
# calc mem node used / host used
calcm.setvalue("nodeusedmemory", "%.2f" % (100.0 * (nodesb[nod].getvalue("nodeusedmemory") / hostusedmem)))
# calc total cpu time node / host
calcm.setvalue("nodetotalcpu", "%.2f" % (100.0 * (nodesb[nod].getvalue("nodetotalcpu")\
- nodesa[nod].getvalue("nodetotalcpu")) /hostusedcpu))
# calc user cpu time node / host
calcm.setvalue("nodeusercpu", "%.2f" % (100.0 * (nodesb[nod].getvalue("nodeusercpu")\
- nodesa[nod].getvalue("nodeusercpu")) /hostusedcpu))
# calc system cpu time node / host
calcm.setvalue("nodesystemcpu", "%.2f" % (100.0 * (nodesb[nod].getvalue("nodesystemcpu")\
- nodesa[nod].getvalue("nodesystemcpu")) /hostusedcpu))
# calc waitcpu time node / host
calcm.setvalue("nodewaitcpu", "%.2f" % (100.0 * (nodesb[nod].getvalue("nodewaitcpu")\
- nodesa[nod].getvalue("nodewaitcpu")) /hostusedcpu))
#print nod, calcm.tocsv()
#print '=========================='
logsession.nodemetricsC[nod] = calcm
# logsession.printnodemetrics('c')
if options.alarm is not None:
logsession.checknodethresholds(nod)
except IndexError:
pass
else:
print "Warning: transient node %s " % nod
return nodesb
def main():
usagestr = "%prog [-h] [options] [args]\n\nLog server and optional CORE session metrics to stdout."
parser = optparse.OptionParser(usage = usagestr)
parser.set_defaults(interval=2, timestamp=False,
configfile = "/etc/core/perflogserver.conf",\
alarm = True, session = None)
parser.add_option("-i", "--interval", dest = "interval", type = int,
help = "seconds to wait between samples; default=%s" %
parser.defaults["interval"])
parser.add_option("-t", "--timestamp", action = "store_true",
dest = "timestamp",
help = "include timestamp on each line")
parser.add_option("-c", "--configfile", dest = "configfile",
type = "string",
help = "read threshold values from the specified file;\
default=%s" % parser.defaults["configfile"])
parser.add_option("-a", "--alarm", action = "store_true",
dest = "alarm",
help = "generate alarms based threshold check on each cycle")
parser.add_option("-s", "--session", dest = "session", type = int,
help = "CORE session id; default=%s" %
parser.defaults["session"])
global options
global ncpus
global serverthresholds
global logsession
global cyclecount
(options, args) = parser.parse_args()
# print options
signal.signal(signal.SIGINT, handler)
signal.signal(signal.SIGTERM, handler)
ncpus = numcpus()
# server threshold dictionary - a ServerMetrics instant with default values
serverthresholds = ServerMetrics()
# set to server threshold default values: serverloadavg1=3.5,
# serverloadavg5=3.5, serverloadavg15=3.5, serverusedmemory=80.0,
# serverusedcputime=80.0, processorusedcputime=90.0
serverthresholds.setvalues([3.5, 3.5, 3.5, 80.0, 80.0, 90.0])
if options.alarm is True:
# read server threshold values from configuration file
readserverthresholds(options.configfile)
if options.session is not None:
logsession = LogSession()
# print logsession
# mark host log baseline
print "server: ", ", ".join(map(lambda(x):str(x), os.uname())), ",", ncpus, "CPU cores"
print "start timestamp:", time.time(), ", baseline data: "
print csvserverbaseline()
print "server metrics: ", ", ".join(map(lambda(x):str(x), serverthresholds.getkeys()))
if options.session is not None:
print "node metrics: nodename, ", ", ".join(map(lambda(x):str(x), logsession.nodethresholds.getkeys()))
cyclecount = 0
while True:
cputimea = collectservercputimes()
if options.session is not None:
nodesa = logsession.getnodemetrics('a')
# print "nodes a:", nodesa
time.sleep(options.interval)
cputimeb = collectservercputimes()
mems = collectservermems()
calccputime = calcservercputimes(cputimea, cputimeb)
m = csvservermetrics(collectservermetrics(calccputime, mems, options.alarm))
print m
if options.session is not None:
nodesb = logsession.getnodemetrics('b')
# print "nodes b:", nodesb
if nodesb != {}:
logsession.calcnodemetrics(cputimea, cputimeb, mems)
logsession.printnodemetrics('c')
sys.stdout.flush()
cyclecount = cyclecount + 1
if __name__ == "__main__":
main()