A tookit of APIs for reading fst file as data.table, could select by column, row and conditional filtering.
parse_fst(path)
slice_fst(ft, row_no)
select_fst(ft, ...)
filter_fst(ft, ...)
summary_fst(ft)
parse_fst
returns a fst_table class.
select_fst
and filter_fst
returns a data.table.
summary_fst
could provide some basic information about
the fst table.
if (FALSE) { # \dontrun{
fst::write_fst(iris,"iris_test.fst")
# parse the file but not reading it
parse_fst("iris_test.fst") -> ft
ft
class(ft)
lapply(ft,class)
names(ft)
dim(ft)
summary_fst(ft)
# get the data by query
ft %>% slice_fst(1:3)
ft %>% slice_fst(c(1,3))
ft %>% select_fst(Sepal.Length)
ft %>% select_fst(Sepal.Length,Sepal.Width)
ft %>% select_fst("Sepal.Length")
ft %>% select_fst(1:3)
ft %>% select_fst(1,3)
ft %>% select_fst("Se")
ft %>% select_fst("nothing")
ft %>% select_fst("Se|Sp")
ft %>% select_fst(cols = names(iris)[2:3])
ft %>% filter_fst(Sepal.Width > 3)
ft %>% filter_fst(Sepal.Length > 6 , Species == "virginica")
ft %>% filter_fst(Sepal.Length > 6 & Species == "virginica" & Sepal.Width < 3)
unlink("iris_test.fst")
} # }