]add FstFileFormat

pkg> add FstFileFormat

using FstFileFormat
using DataFrames
# install the R fst package if not already installed
if !fst_installed()
    install_fst()
end
df = DataFrame(col1 = rand(1:5,1_000_000),
    col2 = rand(1:100, 1_000_000),
    col3 = rand(Bool, 1_000_000))
# df can be any object that DataFrames.DataFrame(df) can make into a DataFrame
# any IterableTables.jl compatible table like object is supported
FstFileFormat.write(df, "df.fst")
# compression = 100; the highest
FstFileFormat.write(df, "df.fst", 100)
# read the metadata
FstFileFormat.readmeta("df.fst")
# read the data
FstFileFormat.read("df.fst")
# read some columns
FstFileFormat.read("df.fst"; columns = ["col1", "col2"])
# read some rows
FstFileFormat.read("df.fst"; from = 500, to = 1000)
# read some columns and rows up to 1000
FstFileFormat.read("df.fst"; columns = ["col1", "col2"], to = 1000)
# read some columns and rows from 500
FstFileFormat.read("df.fst"; columns = ["col1", "col2"], from = 500)
# read some columns and rows from 500 to 1000
FstFileFormat.read("df.fst"; columns = ["col1", "col2"], from = 500, to = 1000)