/
runEval_template.py
209 lines (168 loc) · 8.93 KB
/
runEval_template.py
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import subprocess
from math import *
import sys
import os
from multiprocessing.pool import ThreadPool
import numpy as np
import os.path
import sqlite3
import psutil
import time
use_oram=True
power=range(16,17)
numDatapoints=[2**p-2**(p-16) for p in power] # each osm can store 2**16-1 datapoints by default
#numDatapoints= np.logspace(2, 20,num=100,endpoint=True, base=2, dtype=int)
useGamma=False
numQueries=100
aggFunctions= ["SUM" ]
runPointQuery=0
logLevel="INFO"
logToFile=True
columnOptions=[1]
dataSourceString= "GENERATED"#"FROM_FILE" # Alternatives FROM_REAL or GENERATED
#dataSetString="./data/covid-data-adjusted.csv" #only used if FROM_REAL is set
insertBulkFlag=0#1 # insertion is done in a non-oblivious way to facilitate measurements
controlSelectivityFlag=1
valueSizes=[0]#[16*25-60,16*50-60,16*100-60, 16*300-60] #total block size needs to be devisable by 16, 60 is the default size with one column and no additional data stored
seeds=[1]#range(0,10)
from itertools import chain
domainSizes=[10000]#[1000,2000,4000,8000,16000,32000,64000,128000,256000] # domainsizes of less than 1000 so range(100,1000,100)
selectivities=[0.001]#[0.04,0.05,0.06,0.07,0.08,0.09] #0.5
rangequery_ranges=[10]#[4,8,16,32,64,128]
retrieveExactly= ""#"10000"#"1,10,20,30,40,50,60" #1]#[30,40,50,60]#[10,20,30,40,50,60]
outdir="./results/parallelised-size:2^20cols:1,5-retrieveExactly:"+str(retrieveExactly)+"-BlockSize:0-UseGamma"+str(useGamma)
maxNumThreads=1
waitDuration=5 #150min für 1 col bei 2^26
oramLogCapacity=16
normalDistribution=False
def run_with_seed(s):
createNewData=True
#print("Running one thread with seed "+str(s))
fdir="~/tmp/storage-files-thread"+str(s)
seed="--seed "+str(s)+" "
numOptions=len(numDatapoints)*len(aggFunctions)*len(columnOptions)+len(domainSizes)+len(selectivities)
# only integer columns
i=0
for nC in sorted(columnOptions,reverse=True):
cols="i,"*nC
cols=cols[0:-1]
cols="-c "+cols+" "
res="1,"*nC
res=res[0:-1]
res="-r '"+res+"' "
for nD in sorted(numDatapoints,reverse=True):
#logCapacity=ceil(log(nD)/log(2))
datapoints="--datapoints "+str(nD)+" "
for a in aggFunctions:
agg="--agg "+a+" "
#for nQ in sorted(numQueries,reverse=True):
for domainSize in domainSizes:
minVals="--minVals '"
maxVals="--maxVals '"
for i in range(nC):
minVals=minVals+"10000,"
maxVals=maxVals+str(10000+domainSize)+","
minVals=minVals[0:-1]
maxVals=maxVals[0:-1]
minVals=minVals+"' "
maxVals=maxVals+"' "
if(1==1):
for maxSelectivityValue in selectivities:
maxSelectivityString="--maxSensitivity "+str(maxSelectivityValue)+" "
for vs in valueSizes:
for rangequeryrange in rangequery_ranges:
rangequeryrangeString=""
if not runPointQuery:
rangequeryrangeString="--rangeQueryRange "+str(rangequeryrange)+" "
i=i+1
queries="--numQueries "+str(numQueries)+" "
valueSize="--valueSize "+str(vs)+" "
pointQueries="--pointQueries "+str(runPointQuery)+" "
queryIndex="--queryIndex "+str(0)+" "
whereIndex="--whereIndex "+str(0)+" "
verbosityStr="--verbosity "+str(logLevel)+" "
outdirStr="--outdir "+str(outdir)+" "
fileLoggingStr="--fileLogging "+str(logToFile)+" "
insertBulk="--insertBulk "+str(insertBulkFlag)+" "
controlSelectivity="--controlSelectivity "+str(controlSelectivityFlag)+" "
use_oramFlag="--useOram "+str(use_oram)+" "
#retrieveExactlyString="--retrieveExactly "+str(retrieveExactly)+" "
useGammaString="--useGamma "+str(useGamma)+" "
oramLogCapacityString="--logcapacity "+str(oramLogCapacity)+" "
thisfDir=str(fdir)+"-seed:"+str(s)
filesExists= os.path.isdir(thisfDir)
useExisting=(filesExists and (not createNewData))
if dataSourceString=="FROM_FILE" and useExisting:
dataSource="--datasource "+str(dataSourceString)+" "
dataSource+="--filesDir "+thisfDir+" "
elif dataSourceString=="FROM_REAL":
dataSource="--datasource "+str(dataSourceString)+" "
dataSource+="--dataset "+dataSetString+" "
else:
createNewData=False
dataSource="--datasource GENERATED "
dataSource+="--filesDir "+thisfDir+" "
normalDistributionString="--normalDistribution "+str(normalDistribution)+ " "
#command="cd " +path+";"
command="./bin/main "\
+cols+res+datapoints\
+dataSource\
+use_oramFlag\
+minVals+maxVals\
+insertBulk\
+agg+queries+queryIndex+whereIndex\
+pointQueries+rangequeryrangeString\
+controlSelectivity+maxSelectivityString\
+useGammaString \
+oramLogCapacityString \
+valueSize\
+seed\
+normalDistributionString\
+verbosityStr+outdirStr+fileLoggingStr #+retrieveExactlyString\
print(command)
print("Thread "+str(s)+": Execution "+str(i)+"/"+str(numOptions)+ " ("+command+")", flush=True)
subprocess.run(command, shell=True,
stdout=subprocess.DEVNULL,
#stdout=subprocess.STDOUT,
stderr=sys.stdout)
def main():
dbName="ram-lock.db"
availableRAM=int((psutil.virtual_memory().total/ ( 1024 * 1024 * 1024))-3) # in GB
if (not os.path.isfile(dbName)):
cur = sqlite3.connect(dbName)
cur.execute("CREATE TABLE LOCKED (ID INT PRIMARY KEY NOT NULL, USED INT NOT NULL);")
cur.execute("INSERT INTO LOCKED (ID, USED) VALUES (0, "+str(availableRAM)+");")
cur.commit()
cur.close()
global maxNumThreads
if maxNumThreads==0:
perThread=0
#esitmating number of threads
c=max(columnOptions)
i=round(log(max(numDatapoints))/log(2))-16
if(c==1):
perThread=col1[i]
if(c==5):
perThread=col5[i]
else:
factor=col5[i]/col1[i]
perThread=factor*c
peak=perThread*2.5
maxNumThreads=floor((availableRAM-peak)/perThread)
print("Calculated max Number of Thread is "+str(maxNumThreads))
exit(0)
num = min(len(seeds), maxNumThreads) # sqet to the number of workers you want (it defaults to the cpu count of your machine)
print(str(num)+" Threads selected")
tp = ThreadPool(num)
results=list()
for s in sorted(seeds):
#if(s is not min(seeds)):
# print("Thread "+str(s)+" sleeps for "+str(waitDuration)+"minutes unitl started.")
# time.sleep(waitDuration*60) #time in seconds
x= tp.apply_async(run_with_seed, (s,))
results.append(x)
for x in results:
x.get()
tp.close()
tp.join()
main()