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January 7, 2015 10:16
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compare different methods to read and sub-set a big file
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# Course Data Scientist - Exploratory Data Analysis - Course Project 1 | |
# compare the different methods of reading in | |
# the file "household_power_consumption.txt" and | |
# subsetting Date to 1/2/2007 and 2/2/2007 | |
library(data.table) | |
library(sqldf) | |
Sys.setlocale(category = "LC_MESSAGES", locale = "C") # english output of system.time | |
dataFile <- "household_power_consumption.txt" | |
tdt <- system.time({ | |
DT <- fread( | |
paste("grep ^[12]/2/2007", dataFile), | |
na.strings = c("?", "")) | |
# "grep" lost the headers, so get them | |
setnames(DT, colnames(fread(dataFile, nrows=0))) | |
}) | |
print("data.table") | |
print(tdt) | |
tdf <- system.time({ | |
DF <- read.csv( | |
dataFile, sep=";", | |
stringsAsFactors=FALSE, | |
na.strings = c("?", "")) | |
# sub-set the Date | |
DF <- DF[DF$Date %in% c("1/2/2007","2/2/2007"), ] | |
}) | |
print("read.csv") | |
print(tdf) | |
tds <- system.time({ | |
DS <- read.csv.sql( | |
file=dataFile, sep=";", header=TRUE, | |
sql="select * from file where Date in ('1/2/2007','2/2/2007')", | |
stringsAsFactors=FALSE,) | |
}) | |
print("read.csv.sql") | |
print(tds) | |
print(summary(DT)) | |
print(summary(DF)) | |
print(summary(DS)) |
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