modify classic bench
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18db920cf1
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@ -4,10 +4,10 @@
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#<function name without dashes>.body (even if you don't need it)
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#<function name without dashes>.body (even if you don't need it)
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#Configuration variables
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#Configuration variables
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functions=(isprime-scale isprime-scale-py isprime-scale-js hello-scale hello-scale-py hello-scale-js hello hello-js hello-py isprime isprime-js isprime-py)
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functions=(isprime-kubeless-go-sc)
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connections=(1000)
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connections=(1000)
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times=(1m)
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times=(1m)
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kuberhost="node1:30765"
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kuberhost="node1:31299"
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maxthreads=40
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maxthreads=40
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#Wave mode configuration
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#Wave mode configuration
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wave_connection=40
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wave_connection=40
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@ -16,18 +16,6 @@ wave_min_conn=40
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wave_time="1m"
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wave_time="1m"
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wave_loop_max=2
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wave_loop_max=2
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WRK_INSTALLED=$(command -v wrk)
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if [[ $WRK_INSTALLED = "" ]]
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then
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apt update
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apt install build-essential libssl-dev git -y
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git clone https://github.com/wg/wrk.git wrk
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cd wrk || exit
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cores=$(cat /proc/cpuinfo | awk '/^processor/{print $3}' | wc -l)
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make -j $((cores + 1))
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cp wrk /usr/local/bin
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fi
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HEY_INSTALLED=$(command -v hey)
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HEY_INSTALLED=$(command -v hey)
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if [[ $HEY_INSTALLED = "" ]]
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if [[ $HEY_INSTALLED = "" ]]
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then
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then
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@ -91,11 +79,6 @@ do
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do
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do
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datetime=$(date '+%Y-%m-%d-%H-%M-%S')
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datetime=$(date '+%Y-%m-%d-%H-%M-%S')
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echo -e "Time: $time\n"
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echo -e "Time: $time\n"
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if [[ $* = *"--wrk"* ]]
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then
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echo -e "wrk $datetime\n"
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wrk -t$threads -c"$connection" -d"$time" -s"$function_friendly".wrk -H"Host: $function.kubeless" -H"Content-Type:application/json" --latency http://$kuberhost/"$function" > ./data/"$function"."$connection"."$time"."$datetime".wrk.txt 2>&1
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fi
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if [[ $* = *"--hey"* ]]
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if [[ $* = *"--hey"* ]]
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then
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then
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echo -e "hey-summary $datetime\n"
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echo -e "hey-summary $datetime\n"
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@ -111,5 +94,3 @@ do
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done
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done
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fi
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fi
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done
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done
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python3 ./data/process.py > ./data/processed.txt
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61
benchmark/classic/data/process.py
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61
benchmark/classic/data/process.py
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@ -0,0 +1,61 @@
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#!/usr/bin/env python3
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import csv
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import os
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from pprint import pprint
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import numpy as np
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import matplotlib.pyplot as plt
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#Returns array of csv files in current directory
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def getFiles():
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files = [f for f in os.listdir('.') if os.path.isfile(f)]
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return[ f for f in files if f.endswith('.csv') ]
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def processFile(fname):
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with open(fname,'r') as f:
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lines=[]
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data=csv.reader(f)
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fields=next(data)
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responseCodes={}
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responsePerSec={}
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responseTimes=[]
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for row in data:
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items=zip(fields,row)
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item={}
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for(name,value) in items:
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item[name]=value.strip()
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sec=int(item['offset'].split('.')[0])
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if sec not in responsePerSec:
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responsePerSec[sec]=[]
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else:
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responsePerSec[sec].append(item['response-time'])
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code=item['status-code']
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if code not in responseCodes:
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responseCodes[code]=1
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else:
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responseCodes[code]=responseCodes[code]+1
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responseTimes.append(item['response-time'])
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if len(responseTimes)!=0:
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maxResponse=max(responseTimes)
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minResponse=min(responseTimes)
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print("Maximum response time was ",maxResponse)
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print("Minimum response time was ",minResponse)
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else:
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print("csv is empty")
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pprint(responseCodes)
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for sec in responsePerSec:
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if len(responsePerSec[sec])!=0:
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print(sec, ":")
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print(" Maximum:", max(responsePerSec[sec]))
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print(" Minimum:", min(responsePerSec[sec]))
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print(" Num of responses:", len(responsePerSec[sec]))
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else:
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print(" empty")
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def processAllFiles():
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files=getFiles()
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for f in files:
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print("Processing ", f)
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processFile(f)
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if __name__ == "__main__":
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processAllFiles()
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2
benchmark/classic/data/requirements.txt
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2
benchmark/classic/data/requirements.txt
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@ -0,0 +1,2 @@
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numpy
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matplotlib
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@ -1 +0,0 @@
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wrk.method = "GET"
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@ -1,26 +0,0 @@
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wrk.method = "POST"
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wrk.body = "107107"
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done = function(summary, latency, requests)
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-- open output file
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f = io.open("result.csv", "a+")
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-- write below results to file
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-- minimum latency
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-- max latency
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-- mean of latency
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-- standard deviation of latency
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-- 50percentile latency
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-- 90percentile latency
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-- 99percentile latency
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-- 99.999percentile latency
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-- duration of the benchmark
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-- total requests during the benchmark
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-- total received bytes during the benchmark
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f:write(string.format("%f,%f,%f,%f,%f,%f,%f,%f,%d,%d,%d\n",
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latency.min, latency.max, latency.mean, latency.stdev, latency:percentile(50),
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latency:percentile(90), latency:percentile(99), latency:percentile(99.999),
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summary["duration"], summary["requests"], summary["bytes"]))
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f:close()
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end
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@ -1,24 +0,0 @@
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done = function(summary, latency, requests)
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-- open output file
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f = io.open("result.csv", "a+")
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-- write below results to file
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-- minimum latency
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-- max latency
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-- mean of latency
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-- standard deviation of latency
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-- 50percentile latency
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-- 90percentile latency
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-- 99percentile latency
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-- 99.999percentile latency
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-- duration of the benchmark
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-- total requests during the benchmark
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-- total received bytes during the benchmark
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f:write(string.format("%f,%f,%f,%f,%f,%f,%f,%f,%d,%d,%d\n",
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latency.min, latency.max, latency.mean, latency.stdev, latency:percentile(50),
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latency:percentile(90), latency:percentile(99), latency:percentile(99.999),
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summary["duration"], summary["requests"], summary["bytes"]))
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f:close()
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end
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