Wrapper for read_fst
and write_fst
from fst, but use a different default. For data import, always return a data.table.
For data export, always compress the data to the smallest size.
export_fst(x, path, compress = 100, uniform_encoding = TRUE) import_fst( path, columns = NULL, from = 1, to = NULL, as.data.table = TRUE, old_format = FALSE )
x | a data frame to write to disk |
---|---|
path | path to fst file |
compress | value in the range 0 to 100, indicating the amount of compression to use. Lower values mean larger file sizes. The default compression is set to 50. |
uniform_encoding | If `TRUE`, all character vectors will be assumed to have elements with equal encoding. The encoding (latin1, UTF8 or native) of the first non-NA element will used as encoding for the whole column. This will be a correct assumption for most use cases. If `uniform.encoding` is set to `FALSE`, no such assumption will be made and all elements will be converted to the same encoding. The latter is a relatively expensive operation and will reduce write performance for character columns. |
columns | Column names to read. The default is to read all columns. |
from | Read data starting from this row number. |
to | Read data up until this row number. The default is to read to the last row of the stored dataset. |
as.data.table | If TRUE, the result will be returned as a |
old_format | must be FALSE, the old fst file format is deprecated and can only be read and converted with fst package versions 0.8.0 to 0.8.10. |
`import_fst` returns a data.table with the selected columns and rows. `export_fst` writes `x` to a `fst` file and invisibly returns `x` (so you can use this function in a pipeline).
# \donttest{ export_fst(iris,"iris_fst_test.fst") iris_dt = import_fst("iris_fst_test.fst") iris_dt#> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1: 5.1 3.5 1.4 0.2 setosa #> 2: 4.9 3.0 1.4 0.2 setosa #> 3: 4.7 3.2 1.3 0.2 setosa #> 4: 4.6 3.1 1.5 0.2 setosa #> 5: 5.0 3.6 1.4 0.2 setosa #> --- #> 146: 6.7 3.0 5.2 2.3 virginica #> 147: 6.3 2.5 5.0 1.9 virginica #> 148: 6.5 3.0 5.2 2.0 virginica #> 149: 6.2 3.4 5.4 2.3 virginica #> 150: 5.9 3.0 5.1 1.8 virginica