remove old bechmark stuff

benchmark/data/process.py

@@ -1,61 +0,0 @@
-#!/usr/bin/env python3
-import csv
-import os
-from pprint import pprint
-import numpy as np
-import matplotlib.pyplot as plt
-
-#Returns array of csv files in current directory
-def getFiles():
-    files = [f for f in os.listdir('.') if os.path.isfile(f)]
-    return[ f for f in files if f.endswith('.csv') ]
-
-def processFile(fname):
-    with open(fname,'r') as f:
-        lines=[]
-        data=csv.reader(f)
-        fields=next(data)
-        responseCodes={}
-        responsePerSec={}
-        responseTimes=[]
-        for row in data:
-            items=zip(fields,row)
-            item={}
-            for(name,value) in items:
-                item[name]=value.strip()
-            sec=int(item['offset'].split('.')[0])
-            if sec not in responsePerSec:
-                responsePerSec[sec]=[]
-            else:
-                responsePerSec[sec].append(item['response-time'])
-            code=item['status-code']
-            if code not in responseCodes:
-                responseCodes[code]=1
-            else:
-                responseCodes[code]=responseCodes[code]+1
-            responseTimes.append(item['response-time'])
-        if len(responseTimes)!=0:
-            maxResponse=max(responseTimes)
-            minResponse=min(responseTimes)
-        print("Maximum response time was ",maxResponse)
-        print("Minimum response time was ",minResponse)
-        else:
-            print("csv is empty")
-        pprint(responseCodes)
-        for sec in responsePerSec:
-            if len(responsePerSec[sec])!=0:
-                print(sec, ":")
-                print("    Maximum:", max(responsePerSec[sec]))
-                print("    Minimum:", min(responsePerSec[sec]))
-                print("    Num of responses:", len(responsePerSec[sec]))
-            else:
-                print("    empty")
-
-def processAllFiles():
-    files=getFiles()
-    for f in files:
-        print("Processing ", f)
-        processFile(f)
-
-if __name__ == "__main__":
-    processAllFiles()

benchmark/data/requirements.txt

@@ -1,2 +0,0 @@
-numpy
-matplotlib

benchmark/hello.body

@@ -1 +0,0 @@
-

benchmark/hello.wrk

@@ -1 +0,0 @@
-wrk.method = "GET"

benchmark/isprime.body

@@ -1 +0,0 @@
-107107

benchmark/isprime.wrk

@@ -1,26 +0,0 @@
-wrk.method = "POST"
-wrk.body = "107107"
-done = function(summary, latency, requests)
-  -- open output file
-  f = io.open("result.csv", "a+")
-  
-  -- write below results to file
-  --   minimum latency
-  --   max latency
-  --   mean of latency
-  --   standard deviation of latency
-  --   50percentile latency
-  --   90percentile latency
-  --   99percentile latency
-  --   99.999percentile latency
-  --   duration of the benchmark
-  --   total requests during the benchmark
-  --   total received bytes during the benchmark
-  
-  f:write(string.format("%f,%f,%f,%f,%f,%f,%f,%f,%d,%d,%d\n",
-  latency.min, latency.max, latency.mean, latency.stdev, latency:percentile(50),
-  latency:percentile(90), latency:percentile(99), latency:percentile(99.999),
-  summary["duration"], summary["requests"], summary["bytes"]))
-  
-  f:close()
-end

benchmark/report.lua

@@ -1,24 +0,0 @@
-done = function(summary, latency, requests)
-  -- open output file
-  f = io.open("result.csv", "a+")
-  
-  -- write below results to file
-  --   minimum latency
-  --   max latency
-  --   mean of latency
-  --   standard deviation of latency
-  --   50percentile latency
-  --   90percentile latency
-  --   99percentile latency
-  --   99.999percentile latency
-  --   duration of the benchmark
-  --   total requests during the benchmark
-  --   total received bytes during the benchmark
-  
-  f:write(string.format("%f,%f,%f,%f,%f,%f,%f,%f,%d,%d,%d\n",
-  latency.min, latency.max, latency.mean, latency.stdev, latency:percentile(50),
-  latency:percentile(90), latency:percentile(99), latency:percentile(99.999),
-  summary["duration"], summary["requests"], summary["bytes"]))
-  
-  f:close()
-end