How to deal with a 50GB large csv file in r language?

How to deal with a 50GB large csv file in r language? question all <- read.csv.ffdf( file="<path of large file>", sep = ",", header=TRUE, VERBOSE=TRUE, first.rows=10000, next.rows=50000, ) answer library(sqldf) iris2 <- read.csv.sql("iris.csv", sql = "select * from file where Species = 'setosa' ")