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CombineResults_Filter.R
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CombineResults_Filter.R
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Path <- "C:/Users/Bizon/Documents/GitHub/rappwd/"
# Load Benchmark Files
datatable <- data.table::fread(paste0(Path, "BenchmarkResults_Filter.csv"))
polars <- data.table::fread(paste0(Path, "BenchmarkResultsPolars_Filter.csv"))
polars <- polars[, .SD, .SDcols = c("TimeInSeconds")]
duckdb <- data.table::fread(paste0(Path, "BenchmarkResultsDuckDB_Filter.csv"))
duckdb <- duckdb[, .SD, .SDcols = c("TimeInSeconds")]
pandas <- data.table::fread(paste0(Path, "BenchmarkResultsPandas_Filter.csv"))
pandas <- pandas[, .SD, .SDcols = c("TimeInSeconds")]
collapse <- data.table::fread(paste0(Path, "BenchmarkResultsCollapse_Filter.csv"))
collapse <- collapse[, .SD, .SDcols = c("TimeInSeconds")]
# Modify Column Names for Joining
data.table::setnames(datatable, "TimeInSeconds", "4_Datatable")
data.table::setnames(polars, "TimeInSeconds", "1_Polars")
data.table::setnames(duckdb, "TimeInSeconds", "5_DuckDB")
data.table::setnames(pandas, "TimeInSeconds", "2_Pandas")
data.table::setnames(collapse, "TimeInSeconds", "3_Collapse")
# Subset columns
datatable <- datatable[, .SD, .SDcols = c("Method", "Experiment", "4_Datatable")]
# Join data
dt <- cbind(
collapse,
datatable,
duckdb,
polars,
pandas)
# Prepare data for plotting
dt <- data.table::melt.data.table(
data = dt,
id.vars = c("Method", "Experiment"),
measure.vars = c(
"3_Collapse",
"4_Datatable",
"5_DuckDB",
"2_Pandas",
"1_Polars"),
value.name = "Time In Seconds")
dt[, `Time In Seconds` := round(`Time In Seconds`, 3)]
data.table::fwrite(dt, file = paste0(Path, "BenchmarkResultsPlot_Melt.csv"))
dt[, `Time In Seconds` := data.table::fifelse(`Time In Seconds` == -0.1, NA_real_, `Time In Seconds`)]
data.table::setorderv(dt, cols = "variable", -1)
# Plot 1M Case
temp <- data.table::copy(dt)
temp[, DataSize := sub(" .*", "", Experiment)]
temp <- temp[DataSize != "Total"]
temp <- temp[, list(`Total Run Time (secs)` = sum(`Time In Seconds`, na.rm = TRUE)), by = .(variable, DataSize)]
temp <- temp[order(DataSize, variable, `Total Run Time (secs)`)]
temp[, variable := gsub("^[^_]*_", "", variable)][]
temp <- temp[variable %in% c("Polars", "Pandas", "DuckDB") & DataSize == "1B", `Total Run Time (secs)`:= NA_real_]
# Add DataSize for filtering
dt[, DataSize := sub(" .*", "", Experiment)]
# Plot Totals
AutoPlots::Plot.Bar(
dt = temp,
PreAgg = TRUE,
XVar = "variable",
YVar = "Total Run Time (secs)",
GroupVar = "DataSize",
LabelValues = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 4,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "Filter",
ShowLabels = TRUE,
Title.YAxis = NULL,
Title.XAxis = "",
EchartsTheme = "dark",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "white",
title.fontSize = 35,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 5,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 30,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
)
# Plot 1M Case
echarts4r::e_flip_coords(AutoPlots::Plot.Bar(
dt = dt[DataSize == "1M"],
PreAgg = TRUE,
XVar = "Experiment",
YVar = "Time In Seconds",
GroupVar = "variable",
LabelValues = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "1M Rows Benchmark",
ShowLabels = TRUE,
Title.YAxis = NULL,
Title.XAxis = "",
EchartsTheme = "dark",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "white",
title.fontSize = 40,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 5,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 30,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
))
# Plot 10M Case
echarts4r::e_flip_coords(AutoPlots::Plot.Bar(
dt = dt[DataSize == "10M"],
PreAgg = TRUE,
XVar = "Experiment",
YVar = "Time In Seconds",
GroupVar = "variable",
LabelValues = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "10M Rows Benchmark",
ShowLabels = TRUE,
Title.YAxis = NULL,
Title.XAxis = "",
EchartsTheme = "dark",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "white",
title.fontSize = 40,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 5,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 30,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
))
# Plot 100M Case
echarts4r::e_flip_coords(AutoPlots::Plot.Bar(
dt = dt[DataSize == "100M"],
PreAgg = TRUE,
XVar = "Experiment",
YVar = "Time In Seconds",
GroupVar = "variable",
LabelValues = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "100M Rows Benchmark",
ShowLabels = TRUE,
Title.YAxis = NULL,
Title.XAxis = "",
EchartsTheme = "dark",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "white",
title.fontSize = 40,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 5,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 30,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
))
# Plot 1B Case
library(data.table)
x <- dt[gsub("^[^_]*_", "", variable) %in% c("Polars", "Pandas", "DuckDB") & substr(Experiment,1,2) == "1B", `Time In Seconds`:= NA_real_][]
echarts4r::e_flip_coords(AutoPlots::Plot.Bar(
dt = x[DataSize == "1B"],
PreAgg = TRUE,
XVar = "Experiment",
YVar = "Time In Seconds",
GroupVar = "variable",
LabelValues = NULL,
YVarTrans = "Identity",
XVarTrans = "Identity",
FacetRows = 1,
FacetCols = 1,
FacetLevels = NULL,
AggMethod = "mean",
Height = NULL,
Width = NULL,
Title = "1B Rows Benchmark",
ShowLabels = TRUE,
Title.YAxis = NULL,
Title.XAxis = "",
EchartsTheme = "dark",
MouseScroll = TRUE,
TimeLine = TRUE,
TextColor = "white",
title.fontSize = 40,
title.fontWeight = "bold",
title.textShadowColor = "#63aeff",
title.textShadowBlur = 5,
title.textShadowOffsetY = 1,
title.textShadowOffsetX = -1,
xaxis.fontSize = 14,
yaxis.fontSize = 30,
xaxis.rotate = 0,
yaxis.rotate = 0,
ContainLabel = TRUE,
Debug = FALSE
))