Create a SparkDataFrame from a text file.

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.

Usage

read.text(path, ...)

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.

Value

SparkDataFrame

Details

Each line in the text file is a new row in the resulting SparkDataFrame.

Note

read.text since 1.6.1

Examples

if (FALSE) { # \dontrun{
sparkR.session()
path <- "path/to/file.txt"
df <- read.text(path)
} # }