hll-gnuplot-graph.rb added to plot HyperLogLog error graphs.

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antirez 2014-03-31 10:01:42 +02:00
parent 307a189900
commit 7f9d289e10

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# hll-err.rb - Copyright (C) 2014 Salvatore Sanfilippo
# BSD license, See the COPYING file for more information.
#
# This program is suited to output average and maximum errors of
# the Redis HyperLogLog implementation in a format suitable to print
# graphs using gnuplot.
require 'rubygems'
require 'redis'
require 'digest/sha1'
# Generate an array of [cardinality,relative_error] pairs
# in the 0 - max range with step of 1000*step.
#
# 'r' is the Redis object used to perform the queries.
# 'seed' must be different every time you want a test performed
# with a different set. The function guarantees that if 'seed' is the
# same, exactly the same dataset is used, and when it is different,
# a totally unrelated different data set is used (without any common
# element in practice).
def run_experiment(r,seed,max,step)
r.del('hll')
i = 0
samples = []
while i < max do
step.times {
elements = []
1000.times {
ele = Digest::SHA1.hexdigest(i.to_s+seed.to_s)
elements << ele
i += 1
}
r.hlladd('hll',*elements)
}
approx = r.hllcount('hll')
err = approx-i
rel_err = 100.to_f*err/i
samples << [i,rel_err]
end
samples
end
def filter_samples(numsets,filter)
r = Redis.new
dataset = {}
(0...numsets).each{|i|
dataset[i] = run_experiment(r,i,100000,1)
}
dataset[0].each_with_index{|ele,index|
card,err=ele
if filter == :max
(1...numsets).each{|i|
err = dataset[i][index][1] if err < dataset[i][index][1]
}
elsif filter == :avg
(1...numsets).each{|i|
err += dataset[i][index][1]
}
err /= numsets
else
raise "Unknown filter #{filter}"
end
puts "#{card} #{err}"
}
end
filter_samples(100,:max)
#filter_samples(100,:avg)