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library(tidyverse)
read_csv("summary.csv")-> s
hum_names <- as_labeller(c(`obj_per_sec` = "Objects/sec", `mbyte_per_sec` = "MByte/sec"))
ggplot(s, aes(x=value,y=config)) +
geom_bar(stat="identity", fill="#00BFC4", color="black") +
facet_wrap(~measurement,dir="v", scales = "free", labeller = hum_names) +
scale_x_continuous(expand=c(0,0), breaks = scales::pretty_breaks(n = 10))+
labs(
y="Daemon",
x="Metric",
caption="Get the code to reproduce this graph at https://git.deuxfleurs.fr/Deuxfleurs/mknet",
title="\"minio/warp\" benchmark, \"cluster total\" result",
subtitle="Ran on a local machine (Ryzen 5 1400, 16GB RAM, SSD) with mknet\nDC topology (3 nodes, 1GB/s, 1ms lat)\nwarp in mixed mode, 5min bench, 5MB objects, initialized with 200 objects") +
theme_classic()
ggsave("./plot.png", width=200, height=120, units="mm")
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