Create a SparkDataFrame from a JSON file.

Loads a JSON file, returning the result as a SparkDataFrame By default, (JSON Lines text format or newline-delimited JSON ) is supported. For JSON (one record per file), set a named property multiLine to TRUE. It goes through the entire dataset once to determine the schema.

Usage

read.json(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 JSON-specific options for reading JSON files in https://spark.apache.org/docs/latest/sql-data-sources-json.html#data-source-optionData Source Option in the version you use.

Value

SparkDataFrame

Note

read.json since 1.6.0

Examples

if (FALSE) {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
df <- read.json(path, multiLine = TRUE)
}