Create a SparkDataFrame from a text file.
read.text.Rd
Loads text files and returns a SparkDataFrame whose schema starts with a string column named "value", and followed by partitioned columns if there are any. The text files must be encoded as UTF-8.
Arguments
- path
Path of file to read. A vector of multiple paths is allowed.
- ...
additional external data source specific named properties. You can find the text-specific options for reading text files in https://spark.apache.org/docs/latest/sql-data-sources-text.html#data-source-optionData Source Option in the version you use.
Examples
if (FALSE) {
sparkR.session()
path <- "path/to/file.txt"
df <- read.text(path)
}