forked from Deuxfleurs/mknet
28 lines
No EOL
1.2 KiB
R
28 lines
No EOL
1.2 KiB
R
install.packages("tidyverse")
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install.packages("svglite")
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library(tidyverse)
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library(svglite)
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read_csv("50ms.garage.csv") %>% add_column(daemon="garage 0.5.0") -> a
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read_csv("50ms.minio.csv") %>% add_column(daemon="minio RELEASE.2021-11-24T23-19-33Z") -> b
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bind_rows(a,b) %>% group_by(daemon,op) %>% summarise(
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time_mean = mean(time),
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time_max = max(time),
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time_min = min(time)
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) -> c
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ggplot(c, aes(x=op,y=time_mean,fill=daemon,ymin=time_min,ymax=time_max)) +
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geom_bar(stat="identity", position=position_dodge(),color="black") +
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geom_errorbar(position=position_dodge(.9),width=.2) +
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scale_y_continuous(expand=c(0,0))+
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coord_flip() +
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labs(
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x="S3 Endpoint",
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y="Latency (ms)",
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fill="Daemon",
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caption="Get the code to reproduce this graph at https://git.deuxfleurs.fr/quentin/benchmarks",
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title="S3 endpoint latency in a simulated geo-distributed cluster",
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subtitle="100 measurements, 5 nodes, 100ms RTT + 20ms jitter between nodes\nno contention: latency is due to intra-cluster communications\ncolored bar = mean latency, error bar = min and max") +
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theme_classic() +
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ggsave("endpoint-latency.png", width=200, height=110, units="mm")
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