redict/utils/lru/test-lru.rb
antirez 32a549432b LRU: test-lru.rb improved in different ways.
1. Scan keys with pause to account for actual LRU precision.
2. Test cross-DB with 100 keys allocated in DB1.
3. Output results that don't fluctuate depending on number of keys.
4. Output results in percentage to make more sense.
5. Save file instead of outputting to STDOUT.
6. Support running multiple times with average of outputs.
7. Label each square (DIV) with its ID as HTML title.
2016-07-11 16:23:50 +02:00

189 lines
4.4 KiB
Ruby

require 'rubygems'
require 'redis'
$runs = []; # Remember the error rate of each run for average purposes.
def testit(filename)
r = Redis.new
r.config("SET","maxmemory","2000000")
r.config("SET","maxmemory-policy","allkeys-lru")
r.config("SET","maxmemory-samples",10)
r.config("RESETSTAT")
r.flushall
html = ""
html << <<EOF
<html>
<body>
<style>
.box {
width:5px;
height:5px;
float:left;
margin: 1px;
}
.old {
border: 1px black solid;
}
.new {
border: 1px green solid;
}
.otherdb {
border: 1px red solid;
}
.ex {
background-color: #666;
}
</style>
<pre>
EOF
# Fill the DB up to the first eviction.
oldsize = r.dbsize
id = 0
while true
id += 1
r.set(id,"foo")
newsize = r.dbsize
break if newsize == oldsize # A key was evicted? Stop.
oldsize = newsize
end
inserted = r.dbsize
first_set_max_id = id
html << "#{r.dbsize} keys inserted"
# Access keys sequentially, so that in theory the first part will be expired
# and the latter part will not, according to perfect LRU.
STDERR.puts "Access keys sequentially"
(1..first_set_max_id).each{|id|
r.get(id)
sleep 0.001
STDERR.print(".") if (id % 150) == 0
}
STDERR.puts
# Insert more 50% keys. We expect that the new keys will rarely be expired
# since their last access time is recent compared to the others.
#
# Note that we insert the first 100 keys of the new set into DB1 instead
# of DB0, so that we can try how cross-DB eviction works.
half = inserted/2
html << "Insert enough keys to evict half the keys we inserted"
add = 0
otherdb_start_idx = id+1
otherdb_end_idx = id+100
while true
add += 1
id += 1
if id >= otherdb_start_idx && id <= otherdb_end_idx
r.select(1)
r.set(id,"foo")
r.select(0)
else
r.set(id,"foo")
end
break if r.info['evicted_keys'].to_i >= half
end
html << "#{add} additional keys added."
html << "#{r.dbsize} keys in DB"
# Check if evicted keys respect LRU
# We consider errors from 1 to N progressively more serious as they violate
# more the access pattern.
errors = 0
e = 1
error_per_key = 100000.0/first_set_max_id
half_set_size = first_set_max_id/2
maxerr = 0
(1..(first_set_max_id/2)).each{|id|
if id >= otherdb_start_idx && id <= otherdb_end_idx
r.select(1)
exists = r.exists(id)
r.select(0)
else
exists = r.exists(id)
end
if id < first_set_max_id/2
thiserr = error_per_key * ((half_set_size-id).to_f/half_set_size)
maxerr += thiserr
errors += thiserr if exists
elsif id >= first_set_max_id/2
thiserr = error_per_key * ((id-half_set_size).to_f/half_set_size)
maxerr += thiserr
errors += thiserr if !exists
end
}
errors = errors*100/maxerr
STDERR.puts "Test finished with #{errors}% error! Generating HTML on stdout."
html << "#{errors}% error!"
html << "</pre>"
$runs << errors
# Generate the graphical representation
(1..id).each{|id|
# Mark first set and added items in a different way.
c = "box"
if id >= otherdb_start_idx && id <= otherdb_end_idx
c << " otherdb"
elsif id <= first_set_max_id
c << " old"
else
c << " new"
end
# Add class if exists
if id >= otherdb_start_idx && id <= otherdb_end_idx
r.select(1)
exists = r.exists(id)
r.select(0)
else
exists = r.exists(id)
end
c << " ex" if exists
html << "<div title=\"#{id}\" class=\"#{c}\"></div>"
}
# Close HTML page
html << <<EOF
</body>
</html>
EOF
f = File.open(filename,"w")
f.write(html)
f.close
end
def print_avg
avg = ($runs.reduce {|a,b| a+b}) / $runs.length
puts "#{$runs.length} runs, AVG is #{avg}"
end
if ARGV.length < 1
STDERR.puts "Usage: ruby test-lru.rb <html-output-filename> [num-runs]"
exit 1
end
filename = ARGV[0]
numruns = 1
numruns = ARGV[1].to_i if ARGV.length == 2
numruns.times {
testit(filename)
print_avg if numruns != 1
}