Adding upstream version 5:7.2.4.upstream/5%7.2.4

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 88 insertions, 0 deletions

diff --git a/utils/hyperloglog/hll-gnuplot-graph.rb b/utils/hyperloglog/hll-gnuplot-graph.rb
new file mode 100644
index 0000000..6c7596d
--- /dev/null
+++ b/utils/hyperloglog/hll-gnuplot-graph.rb
@@ -0,0 +1,88 @@
+# 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 the specified 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 = []
+    step = 1000 if step > 1000
+    while i < max do
+        elements = []
+        step.times {
+            ele = Digest::SHA1.hexdigest(i.to_s+seed.to_s)
+            elements << ele
+            i += 1
+        }
+        r.pfadd('hll',elements)
+        approx = r.pfcount('hll')
+        err = approx-i
+        rel_err = 100.to_f*err/i
+        samples << [i,rel_err]
+    end
+    samples
+end
+
+def filter_samples(numsets,max,step,filter)
+    r = Redis.new
+    dataset = {}
+    (0...numsets).each{|i|
+        dataset[i] = run_experiment(r,i,max,step)
+        STDERR.puts "Set #{i}"
+    }
+    dataset[0].each_with_index{|ele,index|
+        if filter == :max
+            card=ele[0]
+            err=ele[1].abs
+            (1...numsets).each{|i|
+                err = dataset[i][index][1] if err < dataset[i][index][1]
+            }
+            puts "#{card} #{err}"
+        elsif filter == :avg
+            card=ele[0]
+            err = 0
+            (0...numsets).each{|i|
+                err += dataset[i][index][1]
+            }
+            err /= numsets
+            puts "#{card} #{err}"
+        elsif filter == :absavg
+            card=ele[0]
+            err = 0
+            (0...numsets).each{|i|
+                err += dataset[i][index][1].abs
+            }
+            err /= numsets
+            puts "#{card} #{err}"
+        elsif filter == :all
+            (0...numsets).each{|i|
+                card,err = dataset[i][index]
+                puts "#{card} #{err}"
+            }
+        else
+            raise "Unknown filter #{filter}"
+        end
+    }
+end
+
+if ARGV.length != 4
+    puts "Usage: hll-gnuplot-graph <samples> <max> <step> (max|avg|absavg|all)"
+    exit 1
+end
+filter_samples(ARGV[0].to_i,ARGV[1].to_i,ARGV[2].to_i,ARGV[3].to_sym)