ich möchte mir ein kleines Tool programmieren, mit dem ich Aussagen über die Performance eines OpenLDAP-Servers machen kann. Das Tool soll ein bestimmte Anzahl Clients (>1) simulieren, die parallel eine große Anzahl Suchanfragen losschicken.
bisheriger Quellcode:
Code: Alles auswählen
import ldap
import random
import time
try:
#number of clients which are connected to the server
number_of_clients = 2
# Pass in a valid username and password to get
# privileged directory access.
# If you leave them as empty strings or pass an invalid value
username = "cn=admin,o=vodafone"
password = "DaVD_2AT"
l= []
for i in range(number_of_clients):
l.append(ldap.open("10.1.56.200"))
for item in l:
# you should set this to ldap.VERSION2 if you're using a v2 directory
item.protocol_version = ldap.VERSION2
# you will still bind to the server but with limited privileges.
item.simple_bind_s(username, password)
# Any errors will throw an ldap.LDAPError exception
# or related exception so you can ignore the result
except ldap.LDAPError, e:
print e
# handle error however you like
## The next lines will also need to be changed to support your search requirements and directory
try:
for item in l:
#number of parallel searches
number_of_searches = 3
average = 0
result_list = []
for counter in range(number_of_searches):
# search for randomly chosen subscribers
vfsid_list = ["vfsid=491731000001", "vfsid=491731000002", "vfsid=491731000003", "vfsid=491731000005", "vfsid=491731000009"]
x = random.choice(vfsid_list)
result_list.append(item.search("o=vodafone", ldap.SCOPE_SUBTREE, x, None))
for y in result_list:
startzeit = time.time()
result_set = []
while 1:
result_type, result_data = item.result(y, 0)
if (result_data == []):
break
else:
## here you don't have to append to a list
## you could do whatever you want with the individual entry
## The appending to list is just for illustration.
if result_type == ldap.RES_SEARCH_ENTRY:
result_set.append(result_data)
print result_set
if result_list.index(y) == 0:
endzeit = time.time() - startzeit - 1
else:
endzeit = time.time() - startzeit
print "\tLaufzeit =", endzeit, "\n"
average = endzeit + average
except ldap.LDAPError, e:
print e
try:
for item in l:
item.unbind_s()
sum = average / (number_of_clients*number_of_searches)
print "\n\nAverage = ", sum
except ldap.LDAPError, e:
print e
Edit (Leonidas): Code in Python-Tags gesetzt.
