125 lines
4.5 KiB
R
Executable File
125 lines
4.5 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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to_fn_str <- function(name) {
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tolower(chartr(' ', '_', name))
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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 * from p' )
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dbdata[,"blocksize"] = dbdata$t
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summary(dbdata)
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nn_lab <- sprintf(fmt="NN=%d", unique(dbdata$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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dbdata$lab_access <- dbdata$access
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dbdata$lab_access[dbdata$lab_access == "write"] = "Write"
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dbdata$lab_access[dbdata$lab_access == "read"] = "Read"
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dbdata$lab_fs <- dbdata$fs
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dbdata$lab_fs[dbdata$lab_fs == "gpfs"] = "IBM Spectrum Scale"
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dbdata$lab_fs[dbdata$lab_fs == "fuse"] = "IME FUSE"
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dbdata$lab_fs[dbdata$lab_fs == "ime"] = "IME"
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dbdata$lab_count <- sprintf('Iteration %d', dbdata$count)
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max_y=3500
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for (lab_fs in unique(dbdata$lab_fs)) {
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for (scale in c("linear", "logarithmic")) {
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#for (scale in c("linear")) {
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p = ggplot(data=dbdata[dbdata$lab_fs==lab_fs,], aes(x=nn, y=bwMiB, colour=as.factor(blocksize/1024), group=blocksize), ymin=0) +
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#aes(x=nn, y=bwMiB) +
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ggtitle(sprintf("%s independent random access to a shared file with IOR", lab_fs)) +
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#facet_grid(ppn ~ lab_access + lab_count, labeller = labeller(nn = as_labeller(nn_lab), ppn = as_labeller(ppn_lab))) +
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facet_grid(ppn ~ lab_access, 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(unique(data$nn))) +
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scale_x_log10(breaks = c(unique(dbdata$nn))) +
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scale_color_manual(name="Blocksize in KiB: ", values=c('#999999','#E69F00', '#56B4E9', '#000000'), breaks=sort(unique(dbdata$blocksize)/1024)) +
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#stat_summary(fun.y="median", geom="line", aes(group=factor(blocksize))) +
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stat_summary(fun.y="mean", geom="line", aes(group=factor(blocksize))) +
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#ylim(0, max_y) +
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#geom_boxplot()
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geom_point()
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#geom_point(data=dbdata, aes(x=nn, y=PortRcvData), colour='red') +
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#geom_point(data=dbdata, aes(x=nn, y=PortXmitData), colour='blue')
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if ( "logarithmic" == scale ) {
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p = p + scale_y_log10()
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}
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filename_eps = sprintf("%s/%s_%s_performance.eps", folder_out, to_fn_str(lab_fs), scale)
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filename_png = sprintf("%s/%s_%s_performance.png", folder_out, to_fn_str(lab_fs), scale)
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ggsave(filename_png, width = 8, height = 8)
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ggsave(filename_eps, width = 8, height = 8)
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#system(sprintf("epstopdf %s", filename_eps))
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system(sprintf("rm %s", filename_eps))
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p = ggplot(data=dbdata[dbdata$lab_fs==lab_fs,], ymin=0) +
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aes(x=nn, y=(PortXmitData + PortRcvData) * 4 / ppn, colour=as.factor(blocksize/1024), group=blocksize) +
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#aes(x=nn, y=bwMiB) +
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ggtitle(sprintf('%s Infiniband throughput (PortRcvData and PortXmitData by "perfquery -x")', lab_fs)) +
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#facet_grid(ppn ~ lab_access + lab_count, labeller = labeller(nn = as_labeller(nn_lab), ppn = as_labeller(ppn_lab))) +
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facet_grid(ppn ~ lab_access + pid, 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(unique(data$nn))) +
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scale_x_log10(breaks = c(unique(dbdata$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="mean", geom="line", aes(group=factor(blocksize))) +
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#ylim(0, max_y) +
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#geom_point(data=dbdata, aes(x=nn, y=PortXmitData), colour='blue')
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geom_point()
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if ( "logarithmic" == scale ) {
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p = p + scale_y_log10()
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}
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filename_eps = sprintf("%s/%s_%s_ib.eps", folder_out, to_fn_str(lab_fs), scale)
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filename_png = sprintf("%s/%s_%s_ib.png", folder_out, to_fn_str(lab_fs), scale)
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ggsave(filename_png, width = 8, height = 8)
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ggsave(filename_eps, width = 8, height = 8)
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#system(sprintf("epstopdf %s", filename_eps))
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system(sprintf("rm %s", filename_eps))
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}}
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