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import redis | |
r = redis.Redis() | |
base = 0 # Smallest allowed key in samples | |
jump = 50 # Key size bins | |
top = 1300 # Largest allowed key in sample | |
samples = 1000 # Numbers of samples | |
bins = [] | |
for i in xrange(1+(top-base)/jump): | |
bins.append({'count':0,'ttl':0,'idle':0,'volatile':0}) | |
found = 0 | |
for i in range(samples): | |
k = r.randomkey() | |
idle = r.object("idletime", k) # Must read idle time first before accessing the key | |
if not r.type(k) == 'string': | |
continue | |
l = r.strlen(k) | |
if l < base or l > top: | |
continue | |
found += 1 | |
ttl = r.ttl(k) | |
b = bins[(l - base)/jump] | |
b['count'] += 1 | |
if ttl is not None: | |
b['ttl'] += ttl | |
b['volatile'] += 1 | |
b['idle'] += idle | |
start = base | |
print "Skipped %d keys"%(samples - sum([b['count'] for b in bins])) | |
print '%-13s %-10s %-10s %-10s %-10s'%('Size range', 'Count', 'Volatile', 'Avg TTL', 'Avg idle') | |
for b in bins: | |
if b['count']: | |
print "%-13s %-10d %-10d %-10d %-10d"%('%d-%d'%(start, start+jump-1), b['count'], b['volatile'], b['ttl']/b['volatile'] if b['volatile'] else 0, b['idle']/b['count']) | |
start += jump |
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