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runPetclinic.py
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runPetclinic.py
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import logging # https://www.machinelearningplus.com/python/python-logging-guide/
import shlex, subprocess
import time # for sleep
import re # for regular expressions
import math
import sys # for number of arguments
import queue
import os # for environment variables
# Set level to level=logging.DEBUG, level=logging.INFO or level=WARNING reduced level of verbosity
logging.basicConfig(level=logging.DEBUG, format='%(asctime)s :: %(levelname)s :: %(message)s',)
docker = 'podman'
################### Benchmark configuration #################
doColdRun = False # when True we clear the SCC before the first run. Set it to False for embedded SCC
appServerHost = "9.46.116.36" # Cannot use localhost because JMeter runs in docker
username = "" # for connecting remotely to the SUT. If this is empty we assume that local machine is going to be used
instanceName = "petclinic"
appServerPort = "8080"
appServerHttpsPort = "8443"
cpuAffinity = "1"
memLimit = "1G"
delayToStart = 30 # seconds; waiting for the AppServer to start before checking for valid startup
extraDockerOpts = "-v /tmp:/tmp" # extra options to pass to docker run
netOpts = "--network=slirp4netns" if docker == "podman" else "" # for podman we need to use slirp4netns if running as root.
############### SCC configuration #####################
useSCCVolume = False # set to true to have a SCC mounted in a volume; False for embedded SCC
appServerDir = "/work" # This is the directory in the container instance
sccInstanceDir = f"{appServerDir}/.classCache" # Location of the shared class cache in the instance
SCCVolumeName = "scc_volume"
mountOpts = f"--mount type=volume,src={SCCVolumeName},target={sccInstanceDir}" if useSCCVolume else ""
############### JMeter CONFIG ###############
jmeterContainerName = "jmeter"
jmeterImage = "localhost/jmeterpetclinic:3.3"
jmeterMachine = "localhost"
jmeterUsername = "" # If this is empty, we assume that JMeter runs on the local machine
jmeterAffinity = "2-3"
protocol = "http" # http or https
################ Load CONFIG ###############
numRepetitionsOneClient = 0
numRepetitions50Clients = 2
durationOfOneClient = 30 # seconds
durationOfOneRepetition = 300 # seconds
numClients = 3
delayBetweenRepetitions = 10
numMeasurementTrials = 1 # Last N trials are used in computation of throughput
thinkTime = 0 # ms
############################# END CONFIG ####################################
# ENV VARS to use for all runs
TR_Options=""
jvmOptions = [
"-Xmx1G",
]
appImages = [
#"petclinic:11-0.29.0",
"localhost/petclinic:J17-0.38.0",
]
def nanmean(myList):
total = 0
numValidElems = 0
for i in range(len(myList)):
if not math.isnan(myList[i]):
total += myList[i]
numValidElems += 1
return total/numValidElems if numValidElems > 0 else math.nan
def nanstd(myList):
total = 0
numValidElems = 0
for i in range(len(myList)):
if not math.isnan(myList[i]):
total += myList[i]
numValidElems += 1
if numValidElems == 0:
return math.nan
if numValidElems == 1:
return 0
else:
mean = total/numValidElems
total = 0
for i in range(len(myList)):
if not math.isnan(myList[i]):
total += (myList[i] - mean)**2
return math.sqrt(total/(numValidElems-1))
def nanmin(myList):
min = math.inf
for i in range(len(myList)):
if not math.isnan(myList[i]) and myList[i] < min:
min = myList[i]
return min
def nanmax(myList):
max = -math.inf
for i in range(len(myList)):
if not math.isnan(myList[i]) and myList[i] > max:
max = myList[i]
return max
def tDistributionValue95(degreeOfFreedom):
if degreeOfFreedom < 1:
return math.nan
#import scipy.stats as stats
# stats.t.ppf(0.975, degreesOfFreedom))
tValues = [12.706, 4.303, 3.182, 2.776, 2.571, 2.447, 2.365, 2.306, 2.262, 2.228,
2.201, 2.179, 2.160, 2.145, 2.131, 2.120, 2.110, 2.101, 2.093, 2.086,
2.080, 2.074, 2.069, 2.064, 2.060, 2.056, 2.052, 2.048, 2.045, 2.042,]
if degreeOfFreedom <= 30:
return tValues[degreeOfFreedom-1]
else:
if degreeOfFreedom <= 60:
return 2.042 - 0.001 * (degreeOfFreedom - 30)
else:
return 1.96
# Confidence intervals tutorial
# mean +- t * std / sqrt(n)
# For 95% confidence interval, t = 1.96 if we have many samples
def meanConfidenceInterval95(myList):
n = len(myList)
if n <= 1:
return math.nan
tvalue = tDistributionValue95(n-1)
avg, stdDev = nanmean(myList), nanstd(myList)
marginOfError = tvalue * stdDev / math.sqrt(n)
return 100.0*marginOfError/avg
def computeStats(myList):
avg = nanmean(myList)
stdDev = nanstd(myList)
min = nanmin(myList)
max = nanmax(myList)
ci95 = meanConfidenceInterval95(myList)
return avg, stdDev, min, max, ci95
def meanLastValues(myList, numLastValues):
assert numLastValues > 0
if numLastValues > len(myList):
numLastValues = len(myList)
return nanmean(myList[-numLastValues:])
def stopContainersFromImage(host, username, imageName):
# Find all running containers from image
remoteCmd = f"{docker} ps --quiet --filter ancestor={imageName}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
lines = output.splitlines()
for containerID in lines:
remoteCmd = f"{docker} stop {containerID}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
print("Stopping container: ", cmd)
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
def removeContainersFromImage(host, username, imageName):
# First stop running containers
stopContainersFromImage(host, username, imageName)
# Now remove stopped containes
remoteCmd = f"{docker} ps -a --quiet --filter ancestor={imageName}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
lines = output.splitlines()
for containerID in lines:
remoteCmd = f"{docker} rm {containerID}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
print("Removing container: ", cmd)
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
def getMainPIDFromContainer(host, username, instanceID):
remoteCmd = f"{docker} inspect " + "--format='{{.State.Pid}}' " + instanceID
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
try:
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
lines = output.splitlines()
return lines[0]
except:
return 0
return 0
# Given a container ID, find all the Java processes running in it
# If there is only one Java process, return its PID
def getJavaPIDFromContainer(host, username, instanceID):
mainPID = getMainPIDFromContainer(host, username, instanceID)
if mainPID == 0:
return 0 # Error
logging.debug("Main PID from container is {mainPID}".format(mainPID=mainPID))
# Find all PIDs running on host
remoteCmd = "ps -eo ppid,pid,cmd --no-headers"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
lines = output.splitlines()
pattern = re.compile("^\s*(\d+)\s+(\d+)\s+(\S+)")
# Construct a dictionary with key=PPID and value a list of PIDs (for its children)
ppid2pid = {}
pid2cmd = {}
for line in lines:
m = pattern.match(line)
if m:
ppid = m.group(1)
pid = m.group(2)
cmd = m.group(3)
if ppid in ppid2pid:
ppid2pid[ppid].append(pid)
else:
ppid2pid[ppid] = [pid]
pid2cmd[pid] = cmd
# Do a breadth-first search to find all Java processes. Use a queue.
javaPIDs = []
pidQueue = queue.Queue()
pidQueue.put(mainPID)
while not pidQueue.empty():
pid = pidQueue.get()
# If this PID is a Java process, add it to the list
if "java" in pid2cmd[pid]:
javaPIDs.append(pid)
if pid in ppid2pid: # If my PID has children
for childPID in ppid2pid[pid]:
pidQueue.put(childPID)
if len(javaPIDs) == 0:
logging.error("Could not find any Java process in container {instanceID}".format(instanceID=instanceID))
return 0
if len(javaPIDs) > 1:
logging.error("Found more than one Java process in container {instanceID}".format(instanceID=instanceID))
return 0
return javaPIDs[0]
# Given a PID, return RSS and peakRSS for the process
def getRss(host, username, pid):
_scale = {'kB': 1024, 'mB': 1024*1024, 'KB': 1024, 'MB': 1024*1024}
# get pseudo file /proc/<pid>/status
filename = "/proc/" + pid + "/status"
remoteCmd = f"cat {filename}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
try:
s = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
#lines = s.splitlines()
except IOError as ioe:
logging.warning("Cannot open {filename}: {msg}".format(filename=filename,msg=str(ioe)))
return [0, 0] # wrong pid?
i = s.index("VmRSS:") # Find the position of the substring
# Take everything from this position till the very end
# Then split the string 3 times, taking first 3 "words" and putting them into a list
tokens = s[i:].split(None, 3)
if len(tokens) < 3:
return [0, 0] # invalid format
rss = int(tokens[1]) * _scale[tokens[2]] // 1048576 # convert value to bytes and then to MB
# repeat for peak RSS
i = s.index("VmHWM:")
tokens = s[i:].split(None, 3)
if len(tokens) < 3:
return [0, 0] # invalid format
peakRss = int(tokens[1]) * _scale[tokens[2]] // 1048576 # convert value to bytes and then to MB
return rss, peakRss
def getCompCPUFromContainer(host, username, instanceID):
logging.debug("Computing CompCPU for AppServer instance {instanceID}".format(instanceID=instanceID))
# Check that the indicated container still exists
remoteCmd = f"{docker} ps -a --quiet --filter id={instanceID}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
lines = output.splitlines()
if not lines:
logging.warning("Liberty instance {instanceID} does not exist.".format(instanceID=instanceID))
return math.nan
threadTime = 0.0
remoteCmd = f"{docker} logs --tail=50 {instanceID}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True, stderr=subprocess.STDOUT) # I need to capture stderr as well
liblines = output.splitlines()
compTimePattern = re.compile("^Time spent in compilation thread =(\d+) ms")
for line in liblines:
print(line)
m = compTimePattern.match(line)
if m:
threadTime += float(m.group(1))
return threadTime if threadTime > 0 else math.nan
def clearSCC(host, username):
logging.info("Clearing SCC")
remoteCmd = f"{docker} volume rm --force {SCCVolumeName}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
subprocess.run(shlex.split(cmd), universal_newlines=True)
# TODO: make sure volume does not exist
'''
return True if AppServer inside given container ID has started successfully; False otherwise
'''
def verifyAppServerInContainerIDStarted(instanceID, host, username):
remoteCmd = f"{docker} ps --quiet --filter id={instanceID}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
lines = output.splitlines()
if not lines:
logging.warning("AppServer container {instanceID} is not running").format(instanceID=instanceID)
return False
remoteCmd = f"{docker} logs --tail=100 {instanceID}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
errPattern = re.compile('^.+ ERROR ')
# 2023-01-21 23:41:45.449 INFO 1 --- [ main] o.s.s.petclinic.PetClinicApplication : Started PetClinicApplication in 3.564 seconds (JVM running for 3.913)
# 2023-01-24 11:06:59.960 INFO 1 --- [ main] o.s.boot.SpringApplication : Started application in 6.355 seconds (JVM running for 7.04)
readyPattern = re.compile('^(.+) INFO .+ Started (PetClinicApplication|application) in')
for iter in range(10):
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True, stderr=subprocess.STDOUT)
liblines = output.splitlines()
for line in liblines:
m = errPattern.match(line)
if m:
logging.error("AppServer container {instanceID} errored while starting: {line}").format(instanceID=instanceID,line=line)
return False
m1 = readyPattern.match(line)
if m1:
if logging.root.level <= logging.INFO:
print(line)
return True # True means success
time.sleep(1) # wait 1 sec and try again
logging.warning("Checking again for app start")
return False
def stopAppServerByID(host, username, containerID):
remoteCmd = f"{docker} ps --quiet --filter id={containerID}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
logging.debug("Stopping container {containerID}".format(containerID=containerID))
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
lines = output.splitlines()
if not lines:
logging.warning("AppServer instance {containerID} does not exist. Might have crashed".format(containerID=containerID))
return False
remoteCmd = f"{docker} stop {containerID}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
subprocess.check_output(shlex.split(cmd), universal_newlines=True)
return True
def removeAppServerByID(host, username, containerID):
remoteCmd = f"{docker} ps --all --quiet --filter id={containerID}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
logging.debug("Removing container {containerID}".format(containerID=containerID))
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
lines = output.splitlines()
if not lines:
logging.warning("AppServer instance {containerID} does not exist. Might have crashed.".format(containerID=containerID))
return False
remoteCmd = f"{docker} rm {containerID}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
subprocess.check_output(shlex.split(cmd), universal_newlines=True)
return True
def startAppServerContainer(host, username, instanceName, image, port, httpsport, cpus, mem, jvmArgs):
remoteCmd = f"{docker} run -d --cpuset-cpus={cpus} -m={mem} {mountOpts} {extraDockerOpts} {netOpts} -e TR_Options='{TR_Options}' -e _JAVA_OPTIONS='{jvmArgs}' -e TR_PrintCompTime=1 -p {port}:{port} -p {httpsport}:{httpsport} --name {instanceName} {image}"
dockerRunCmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
logging.info("Starting AppServer instance {instanceName} with cmd: {cmd}".format(instanceName=instanceName,cmd=dockerRunCmd))
output = subprocess.check_output(shlex.split(dockerRunCmd), universal_newlines=True)
lines = output.splitlines()
assert lines, "Error: docker run output is empty".format(l=lines)
assert len(lines) == 1, f"Error: docker run output containes several lines: {lines}"
if logging.root.level <= logging.DEBUG:
print(lines)
instanceID = lines[0] # ['2ccae49f3c03af57da27f5990af54df8a81c7ce7f7aace9a834e4c3dddbca97e']
time.sleep(delayToStart) # delay to let application start
started = verifyAppServerInContainerIDStarted(instanceID, host, username)
if not started:
logging.error("AppServer failed to start")
stopAppServerByID(host, username, instanceID)
return None
return instanceID
# Run jmeter remotely
def applyLoad(duration, clients):
port = appServerHttpsPort if protocol == "https" else appServerPort
remoteCmd = f"{docker} run -d --net=host --cpuset-cpus={jmeterAffinity} -e JTHREADS={clients} -e JDURATION={duration} -e JPORT={port} -e JHOST={appServerHost} -e JTHINKTIME={thinkTime} --name {jmeterContainerName} {jmeterImage}"
cmd = f"ssh {jmeterUsername}@{jmeterMachine} \"{remoteCmd}\"" if username else remoteCmd
logging.info("Apply load: {cmd}".format(cmd=cmd))
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
logging.debug(f"{output}")
def stopJMeter():
remoteCmd = f"{docker} rm {jmeterContainerName}"
cmd = f"ssh {jmeterUsername}@{jmeterMachine} \"{remoteCmd}\"" if username else remoteCmd
logging.debug("Removing jmeter: {cmd}".format(cmd=cmd))
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
def getJMeterSummary():
logging.debug("Getting throughput info...")
remoteCmd = f"{docker} logs --tail=100 {jmeterContainerName}"
cmd = f"ssh {jmeterUsername}@{jmeterMachine} \"{remoteCmd}\"" if username else remoteCmd
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True, stderr=subprocess.DEVNULL)
lines = output.splitlines()
# Find the last line that contains
# summary = 110757 in 30s = 3688.6/s Avg: 12 Min: 0 Max: 894 Err: 0 (0.00%)
# or
# summary = 233722 in 00:02:00 = 1947.4/s Avg: 0 Min: 0 Max: 582 Err: 0 (0.00%)
elapsedTime = 0
throughput = math.nan
errs = 0
totalTransactions = 0
lastSummaryLine = ""
queue = []
pattern1 = re.compile('summary \+\s+(\d+) in\s+(\d+\.*\d*)s =\s+(\d+\.\d+)/s.+Finished: 0')
pattern2 = re.compile('summary \+\s+(\d+) in\s+(\d\d):(\d\d):(\d\d) =\s+(\d+\.\d+)/s.+Finished: 0')
for line in lines:
# summary + 17050 in 00:00:06 = 2841.7/s Avg: 0 Min: 0 Max: 49 Err: 0 (0.00%) Active: 2 Started: 2 Finished: 0
if line.startswith("summary +"):
# Uncomment this line if we need to print rampup
#print(line)
m = pattern1.match(line)
if m:
thr = float(m.group(3))
queue.append(thr)
else:
m = pattern2.match(line)
if m:
thr = float(m.group(5))
queue.append(thr)
if line.startswith("summary ="):
lastSummaryLine = line
pattern = re.compile('summary =\s+(\d+) in\s+(\d+\.*\d*)s =\s+(\d+\.\d+)/s.+Err:\s*(\d+)')
m = pattern.match(lastSummaryLine)
if m:
# First group is the total number of transactions/pages that were processed
totalTransactions = float(m.group(1))
# Second group is the interval of time that passed
elapsedTime = float(m.group(2))
# Third group is the throughput value
throughput = float(m.group(3))
errs = int(m.group(4))
else: # Check the second pattern
pattern = re.compile('summary =\s+(\d+) in\s+(\d\d):(\d\d):(\d\d) =\s+(\d+\.\d+)/s.+Err:\s*(\d+)')
m = pattern.match(lastSummaryLine)
if m:
# First group is the total number of transactions/pages that were processed
totalTransactions = float(m.group(1))
# Next 3 groups are the interval of time that passed
elapsedTime = float(m.group(2))*3600 + float(m.group(3))*60 + float(m.group(4))
# Fifth group is the throughput value
throughput = float(m.group(5))
errs = int(m.group(6))
# Compute the peak throughput as the average of the last 3 throughput values
peakThr = 0.0
if len(queue) >= 3:
queue = queue[-3:]
peakThr = sum(queue)/3.0
#print (str(elapsedTime), throughput, sep='\t')
return throughput, elapsedTime, peakThr, errs
def runPhase(duration, clients):
logging.debug("Sleeping for {n} sec".format(n=delayBetweenRepetitions))
time.sleep(delayBetweenRepetitions)
applyLoad(duration, clients)
# Wait for load to finish
remoteCmd = f"{docker} wait {jmeterContainerName}"
cmd = f"ssh {jmeterUsername}@{jmeterMachine} \"{remoteCmd}\"" if username else remoteCmd
logging.debug("Wait for {jmeter} to end: {cmd}".format(jmeter=jmeterContainerName, cmd=cmd))
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
# Read throughput
thr, elapsed, peakThr, errors = getJMeterSummary()
stopJMeter()
print("Throughput={thr:7.1f} duration={elapsed:6.1f} peak={peakThr:7.1f} errors={err:4d}".format(thr=thr,elapsed=elapsed,peakThr=peakThr,err=errors))
if errors > 0:
logging.error(f"JMeter encountered {errors} errors")
return thr
def checkAppServerForErrors(instanceID, host, username):
remoteCmd = f"{docker} ps --quiet --filter id={instanceID}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True)
lines = output.splitlines()
if not lines:
logging.warning("AppServer container {instanceID} is not running").format(instanceID=instanceID)
return False
remoteCmd = f"{docker} logs --tail=200 {instanceID}"
cmd = f"ssh {username}@{host} \"{remoteCmd}\"" if username else remoteCmd
errPattern = re.compile('^.+ERROR')
output = subprocess.check_output(shlex.split(cmd), universal_newlines=True, stderr=subprocess.STDOUT)
liblines = output.splitlines()
for line in liblines:
if errPattern.match(line):
logging.error("AppServer errored: {line}".format(line=line))
return False
return True
def runBenchmarkOnce(image, javaOpts):
# Will apply load in small bursts
maxPulses = numRepetitionsOneClient + numRepetitions50Clients
thrResults = [math.nan for i in range(maxPulses)] # np.full((maxPulses), fill_value=np.nan, dtype=np.float)
rss, peakRss = math.nan, math.nan
instanceID = startAppServerContainer(host=appServerHost, username=username, instanceName=instanceName, image=image, port=appServerPort, httpsport=appServerHttpsPort, cpus=cpuAffinity, mem=memLimit, jvmArgs=javaOpts)
if instanceID is None:
return thrResults, rss
for pulse in range(maxPulses):
if pulse >= numRepetitionsOneClient:
cli = numClients
duration = durationOfOneRepetition
else:
cli = 1
duration = durationOfOneClient
thrResults[pulse] = runPhase(duration, cli)
# Collect RSS at end of run
serverPID = getJavaPIDFromContainer(host=appServerHost, username=username, instanceID=instanceID)
if int(serverPID) > 0:
rss, peakRss = getRss(host=appServerHost, username=username, pid=serverPID)
logging.debug("Memory: RSS={rss} PeakRSS={peak}".format(rss=rss,peak=peakRss))
else:
logging.warning("Cannot get server PID. RSS will not be available")
time.sleep(2)
# If there were errors during the run, invalidate throughput results
if not checkAppServerForErrors(instanceID, appServerHost, username):
thrResults = [math.nan for i in range(maxPulses)] #np.full((maxPulses), fill_value=np.nan, dtype=np.float) # Reset any throughput values
# stop container
success = stopAppServerByID(appServerHost, username, instanceID)
if success:
# read CompCPU
cpu = getCompCPUFromContainer(appServerHost, username, instanceID)
success = removeAppServerByID(appServerHost, username, instanceID)
if not success:
logging.error("Cannot remove container {id}".format(id=instanceID))
sys.exit(-1)
else:
sys.exit(-1)
# return throughput as an array of throughput values for each burst and also the RSS
return thrResults, rss, peakRss, float(cpu/1000.0)
def runBenchmarkIteratively(numIter, image, javaOpts):
# Initialize stats; 2D array of throughput results
numPulses = numRepetitionsOneClient + numRepetitions50Clients
thrResults = [] # List of lists
rssResults = [] # Just a list
cpuResults = []
# clear SCC if needed (by destroying the SCC volume)
if doColdRun:
clearSCC(appServerHost, username)
for iter in range(numIter):
thrList, rss, peakRss, cpu = runBenchmarkOnce(image, javaOpts)
lastThr = meanLastValues(thrList, numMeasurementTrials) # average for last N pulses
print(f"Run {iter}: Thr={lastThr:6.1f} RSS={rss:6.1f} MB PeakRSS={peakRss:6.1f} MB CPU={cpu:4.1f} sec".format(lastThr=lastThr,rss=rss,peakRss=peakRss,cpu=cpu))
thrResults.append(thrList) # copy all the pulses
rssResults.append(rss)
cpuResults.append(cpu)
# print stats
print(f"\nResults for image: {image} and opts: {javaOpts}")
thrAvgResults = [math.nan for i in range(numIter)] # np.full((numIter), fill_value=np.nan, dtype=np.float)
for iter in range(numIter):
print("Run", iter, end="")
for pulse in range(numPulses):
print("\t{thr:7.1f}".format(thr=thrResults[iter][pulse]), end="")
thrAvgResults[iter] = meanLastValues(thrResults[iter], numMeasurementTrials) #np.nanmean(thrResults[iter][-numMeasurementTrials:])
print("\tAvg={thr:7.1f} RSS={rss:7d} MB CompCPU={cpu:5.1f} sec".format(thr=thrAvgResults[iter], rss=rssResults[iter], cpu=cpuResults[iter]))
verticalAverages = [] #verticalAverages = np.nanmean(thrResults, axis=0)
for pulse in range(numPulses):
total = 0
numValidEntries = 0
for iter in range(numIter):
if not math.isnan(thrResults[iter][pulse]):
total += thrResults[iter][pulse]
numValidEntries += 1
verticalAverages.append(total/numValidEntries if numValidEntries > 0 else math.nan)
print("Avg:", end="")
for pulse in range(numPulses):
print("\t{thr:7.1f}".format(thr=verticalAverages[pulse]), end="")
print("\tAvg={avgThr:7.1f} RSS={rss:7.0f} MB CompCPU={cpu:5.1f}".format(avgThr=nanmean(thrAvgResults), rss=nanmean(rssResults), cpu=nanmean(cpuResults)))
# Throughput stats
avg, stdDev, min, max, ci95 = computeStats(thrAvgResults)
print("Throughput stats: Avg={avg:7.1f} StdDev={stdDev:7.1f} Min={min:7.1f} Max={max:7.1f} Max/Min={maxmin:7.1f} CI95={ci95:7.1f}%".
format(avg=avg, stdDev=stdDev, min=min, max=max, maxmin=max/min, ci95=ci95))
############################ MAIN ##################################
if len(sys.argv) < 2:
print ("Program must have an argument: the number of iterations\n")
sys.exit(-1)
# Clean-up from a previous possible bad run
for appServerImage in appImages:
removeContainersFromImage(appServerHost, username, appServerImage)
removeContainersFromImage(jmeterMachine, jmeterUsername, jmeterImage)
if doColdRun:
print("Will do a cold run before each set")
for jvmOpts in jvmOptions:
for appServerImage in appImages:
runBenchmarkIteratively(numIter=int(sys.argv[1]), image=appServerImage, javaOpts=jvmOpts)