Running memcached as a daemon process.
Simply,
memcached -d
import memcache
from pymongo import Connection
import time
memc = memcache.Client(['127.0.0.1:11211'])
f = open('testtweets.txt', 'r')
m2 = Connection('127.0.0.1', 27017)
m = m2.sample_db
i = 0
firs = time.time()
for t in f.readlines():
m.tweets3.insert({'a':t})
sec = time.time()
print (sec-firs)
f = open('testtweets.txt', 'r')
thir = time.time()
for t in f.readlines():
memc.set('tweet' + str(i), t)
i+=1
fou = time.time()
print (fou-thir)
tot = i
i=0
fif = time.time()
a=[]
for r in xrange(0,tot):
re = m.tweets3.find().skip(r).limit(1)
a.append(re)
#print str(i)
i+=1
si = time.time()
print (si-fif)
a=[]
for i in xrange(0,tot):
a.append(memc.get('tweet' + str(i)))
sev = time.time()
print (sev-si)
print 'storing in db ' ,(sec-firs), ' for ', tot, ' tweets'
print 'storing in memcached ', (fou-thir)
print 'reading from db ', (si-fif)
print 'reading from memcached ', (sev - si)
On Aug 18, 12:04 pm, Neeraj Agarwal <nee....@gmail.com> wrote:
> 85 seconds was because of the network latency (was using EC2 with my
> computer. pinging time was 350 ms itself..)
>
> Perhaps for x many number of items, it was taking x*350 ms time for
> making calls.. while mongo, it was sending all data at one go.
>
> So I ran the script on the server itself:
> storing in db 0.108298063278 for 1487 items
> storing in memcached 0.208426952362
> reading from db 0.0738799571991
> reading from memcached 0.145488023758
>
> what am I doing wrong here?
>
> Thanks
> Neeraj
>
> On Aug 17, 11:00 pm, Neeraj Agarwal <nee....@gmail.com> wrote:
>
>
>
>
>
>
>
> > Yep, I'm printing back the results. Even if the case with MongoDB is
> > that it doens't verify, while reading it back, it exists..
>
> > I have installed both memcached & mongodb on the same machine (ubuntu
> > 9.10)on the network.
>
> > And connecting to it with another machine.
>
> > On Aug 17, 10:56 pm, Matt Ingenthron <ingen...@cep.net> wrote:
>
> > > On 8/17/11 8:44 AM, Neeraj Agarwal wrote:
>
> > > > I installed memcached on Ubuntu box. Installed MongoDB too on the same
> > > > machine to compare the performance for these two.
>
> > > By default, mongodb doesn't check for responses at all. It just sends
> > > requests over. That *could* be playing a role here.
>
> > > The "reading from" makes less sense though if there. Are you verifying
> > > that you read it back?
>
> > > Something seems broken for sure with 220 records in 85 seconds.
>
> > > > Storing in MongoDB 0.0940001010895 for 220 records
> > > > Storing in memcached 83.2030000687
> > > > Reading from MongoDB 0.0309998989105
> > > > Reading from memcached 85.3599998951
>
> > > > All time in seconds.
>
> > > > I'm
> > > > usingpythonlibrayhttp://www.tummy.com/Community/software/python-memcached/
