FazBrowse GitHub Viewer
|
Trending
|
URL:
|
Home
Tools:
[Download Repo ZIP]
[View Raw Code]
[Original HTTPS Page]
node/benchmark/plot.R at master · lazyprogrammer/node · GitHub
lazyprogrammer
/
node
Public
forked from
nodejs/node-v0.x-archive
Notifications
You must be signed in to change notification settings
Fork
1
Star
4
Code
Pull requests
0
Actions
Projects
Wiki
Security and quality
0
Insights
Additional navigation options
Code
Pull requests
Actions
Projects
Wiki
Security and quality
Insights
Expand file tree
Breadcrumbs
node
/
benchmark
/
plot.R
Copy path
More file actions
More file actions
Latest commit
History
History
History
executable file
·
86 lines (64 loc) · 2.16 KB
Breadcrumbs
node
/
benchmark
/
plot.R
Copy path
File metadata and controls
executable file
·
86 lines (64 loc) · 2.16 KB
Raw
Copy raw file
Download raw file
Open symbols panel
Edit and raw actions
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
#
!/usr/bin/env Rscript
#
To use this script you'll need to install R: http://www.r-project.org/
#
and a library for R called ggplot2
#
Which can be done by starting R and typing install.packages("ggplot2")
#
like this:
#
#
shell% R
#
R version 2.11.0 beta (2010-04-12 r51689)
#
> install.packages("ggplot2")
#
(follow prompt)
#
#
Then you can try this script by providing a full path to .data file
#
outputed from 'make bench'
#
#
> cd ~/src/node
#
> make bench
#
...
#
> ./benchmark/plot.R .benchmark_reports/ab-hello-world-buffer-1024/ff456b38862de3fd0118c6ac6b3f46edb1fbb87f/20101013162056.data
#
#
This will generate a PNG file which you can view
#
#
#
Hopefully these steps will be automated in the future.
library(
ggplot2
)
args
<-
commandArgs(
TRUE
)
ab.load
<-
function
(
filename
,
name
) {
raw
<-
data.frame
(read.csv(
filename
,
sep
=
"
\t
"
,
header
=
T
),
server
=
name
)
raw
<-
data.frame
(
raw
,
time
=
raw
$
seconds
-
min(
raw
$
seconds
))
raw
<-
data.frame
(
raw
,
time_s
=
raw
$
time
/
1000000
)
raw
}
#
ab.tsPoint <- function (d) {
#
qplot(time_s, ttime, data=d, facets=server~.,
#
geom="point", alpha=I(1/15), ylab="response time (ms)",
#
xlab="time (s)", main="c=30, res=26kb",
#
ylim=c(0,100))
#
}
#
#
ab.tsLine <- function (d) {
#
qplot(time_s, ttime, data=d, facets=server~.,
#
geom="line", ylab="response time (ms)",
#
xlab="time (s)", main="c=30, res=26kb",
#
ylim=c(0,100))
#
}
filename
<-
args
[
0
:
1
]
data
<-
ab.load(
filename
,
"
node
"
)
#
histogram
#
hist_png_filename <- gsub(".data", "_hist.png", filename)
hist_png_filename
<-
"
hist.png
"
png(
filename
=
hist_png_filename
,
width
=
480
,
height
=
380
,
units
=
"
px
"
)
qplot(
ttime
,
data
=
data
,
geom
=
"
histogram
"
,
main
=
"
xxx
"
,
binwidth
=
1
,
xlab
=
"
response time (ms)
"
,
xlim
=
c(
0
,
100
))
print(
hist_png_filename
)
#
time series
#
ts_png_filename <- gsub(".data", "_ts.png", filename)
ts_png_filename
=
"
ts.png
"
png(
filename
=
ts_png_filename
,
width
=
480
,
height
=
380
,
units
=
"
px
"
)
qplot(
time
,
ttime
,
data
=
data
,
facets
=
server
~
.
,
geom
=
"
point
"
,
alpha
=
I(
1
/
15
),
ylab
=
"
response time (ms)
"
,
xlab
=
"
time (s)
"
,
main
=
"
xxx
"
,
ylim
=
c(
0
,
100
))
print(
ts_png_filename
)
Back
|
FazBrowse Home
|
New Git URL