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a69ab27ab4
This commit replaces instances of io.js with Node.js, based on the recent convergence. There are some remaining instances of io.js, related to build and the installer. Fixes: https://github.com/nodejs/node/issues/2361 PR-URL: https://github.com/nodejs/node/pull/2367 Reviewed-By: James M Snell <jasnell@gmail.com> Reviewed-By: João Reis <reis@janeasystems.com>
87 lines
2.2 KiB
R
Executable File
87 lines
2.2 KiB
R
Executable File
#!/usr/bin/env Rscript
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# To use this script you'll need to install R: http://www.r-project.org/
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# and a library for R called ggplot2
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# Which can be done by starting R and typing install.packages("ggplot2")
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# like this:
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#
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# shell% R
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# R version 2.11.0 beta (2010-04-12 r51689)
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# > install.packages("ggplot2")
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# (follow prompt)
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#
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# Then you can try this script by providing a full path to .data file
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# outputed from 'make bench'
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#
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# > cd ~/src/node
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# > make bench
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# ...
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# > ./benchmark/plot.R .benchmark_reports/ab-hello-world-buffer-1024/ff456b38862de3fd0118c6ac6b3f46edb1fbb87f/20101013162056.data
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#
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# This will generate a PNG file which you can view
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#
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#
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# Hopefully these steps will be automated in the future.
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library(ggplot2)
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args <- commandArgs(TRUE)
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ab.load <- function (filename, name) {
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raw <- data.frame(read.csv(filename, sep="\t", header=T), server=name)
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raw <- data.frame(raw, time=raw$seconds-min(raw$seconds))
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raw <- data.frame(raw, time_s=raw$time/1000000)
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raw
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}
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#ab.tsPoint <- function (d) {
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# qplot(time_s, ttime, data=d, facets=server~.,
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# geom="point", alpha=I(1/15), ylab="response time (ms)",
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# xlab="time (s)", main="c=30, res=26kb",
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# ylim=c(0,100))
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#}
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#
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#ab.tsLine <- function (d) {
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# qplot(time_s, ttime, data=d, facets=server~.,
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# geom="line", ylab="response time (ms)",
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# xlab="time (s)", main="c=30, res=26kb",
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# ylim=c(0,100))
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#}
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filename <- args[0:1]
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data <- ab.load(filename, "node")
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# histogram
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#hist_png_filename <- gsub(".data", "_hist.png", filename)
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hist_png_filename <- "hist.png"
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png(filename = hist_png_filename, width = 480, height = 380, units = "px")
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qplot(ttime, data=data, geom="histogram",
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main="xxx",
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binwidth=1, xlab="response time (ms)",
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xlim=c(0,100))
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print(hist_png_filename)
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# time series
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#ts_png_filename <- gsub(".data", "_ts.png", filename)
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ts_png_filename = "ts.png"
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png(filename = ts_png_filename, width = 480, height = 380, units = "px")
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qplot(time, ttime, data=data, facets=server~.,
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geom="point", alpha=I(1/15), ylab="response time (ms)",
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xlab="time (s)", main="xxx",
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ylim=c(0,100))
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print(ts_png_filename)
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