77 lines
2.4 KiB
R
Executable File
77 lines
2.4 KiB
R
Executable File
#!/usr/bin/env Rscript
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library(sqldf)
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library(plyr)
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library(plot3D)
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library(ggplot2)
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args = commandArgs(trailingOnly=TRUE)
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print(args)
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if (2 != length(args)) {
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print("Requires 2 parameters)")
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q()
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}
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file_db = args[1]
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folder_out = args[2]
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print(file_db)
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make_facet_label <- function(variable, value){
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return(paste0(value, " KiB"))
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}
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#connection = dbConnect(SQLite(), dbname='results.ddnime.db')
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print(file_db)
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connection = dbConnect(SQLite(), dbname=file_db)
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#dbdata = dbGetQuery(connection,'select mnt, siox, avg(duration) as ad, app, procs, blocksize from p group by mnt, siox, procs, blocksize, app')
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#dbdata = dbGetQuery(connection,'select * from p where tag=="mpio-individual"')
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#dbdata = dbGetQuery(connection,'select *, (x*y*z) as blocksize from p where count=8')
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#dbdata = dbGetQuery(connection,'select * from p where count<5')
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dbdata = dbGetQuery(connection,'select * from p')
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dbdata[,"blocksize"] = dbdata$tsize
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summary(dbdata)
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nn_lab <- sprintf(fmt="NN=%d", unique(dbdata$nn))
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names(nn_lab) <- unique(dbdata$nn)
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ppn_lab <- sprintf(fmt="PPN=%d", unique(dbdata$ppn))
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names(ppn_lab) <- unique(dbdata$ppn)
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breaks <- c(unique(dbdata$blocksize))
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#p = ggplot(data=dbdata, aes(x=nn, y=rio, colour=as.factor(blocksize/1024), group=blocksize), ymin=0) +
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p = ggplot(data=dbdata) +
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#ggtitle("Read") +
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#facet_grid(ppn ~ ., labeller = labeller(nn = as_labeller(nn_lab), ppn = as_labeller(ppn_lab))) +
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#xlab("Nodes") +
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#ylab("Performance in MiB/s") +
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#theme(axis.text.x=element_text(angle=90, hjust=0.95, vjust=0.5)) +
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#theme(legend.position="bottom") +
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scale_x_continuous(breaks = c(60, 120)) +
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#scale_x_log10(breaks = c(unique(data$nn))) +
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scale_color_manual(name="Blocksize in KiB: ", values=c('#999999','#E69F00', '#56B4E9', '#000000'), breaks=sort(unique(dbdata$blocksize)/1024)) +
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#stat_summary(fun.y="median", geom="line", aes(group=factor(blocksize))) +
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#stat_summary(fun.y="mean", geom="line", aes(group=factor(blocksize))) +
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#geom_boxplot()
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geom_histogram(binwidth=1, aes(wio, fill="red")) +
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geom_histogram(binwidth=1, aes(rio, fill="blue"))
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#geom_density(aes(wio, color="blue")) +
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#geom_density(aes(rio, color="red"))
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#geom_freqpoly(binwidth=4)
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filename_eps = sprintf("%s/runtime.eps", folder_out)
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filename_png = sprintf("%s/runtime.png", folder_out)
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ggsave(filename_png, width = 10, height = 3)
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ggsave(filename_eps, width = 10, height = 3)
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#system(sprintf("epstopdf %s", filename_eps))
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system(sprintf("rm %s", filename_eps))
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