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redis
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d6ce659f
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redis
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体验新版 GitCode,发现更多精彩内容 >>
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d6ce659f
编写于
3月 31, 2014
作者:
A
antirez
浏览文件
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电子邮件补丁
差异文件
hll-gnuplot-graph.rb added to plot HyperLogLog error graphs.
上级
c3df5965
变更
1
隐藏空白更改
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1 changed file
with
68 addition
and
0 deletion
+68
-0
utils/hyperloglog/hll-gnuplot-graph.rb
utils/hyperloglog/hll-gnuplot-graph.rb
+68
-0
未找到文件。
utils/hyperloglog/hll-gnuplot-graph.rb
0 → 100644
浏览文件 @
d6ce659f
# 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)
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