read.df {SparkR}R Documentation

Load a SparkDataFrame

Description

Returns the dataset in a data source as a SparkDataFrame

Usage

## Default S3 method:
read.df(path = NULL, source = NULL, schema = NULL,
  na.strings = "NA", ...)

## Default S3 method:
loadDF(path = NULL, source = NULL, schema = NULL,
  ...)

Arguments

path

The path of files to load

source

The name of external data source

schema

The data schema defined in structType

na.strings

Default string value for NA when source is "csv"

...

additional external data source specific named properties.

Details

The data source is specified by the source and a set of options(...). If source is not specified, the default data source configured by "spark.sql.sources.default" will be used.
Similar to R read.csv, when source is "csv", by default, a value of "NA" will be interpreted as NA.

Value

SparkDataFrame

Note

read.df since 1.4.0

loadDF since 1.6.0

See Also

read.json

Examples

## Not run: 
##D sparkR.session()
##D df1 <- read.df("path/to/file.json", source = "json")
##D schema <- structType(structField("name", "string"),
##D                      structField("info", "map<string,double>"))
##D df2 <- read.df(mapTypeJsonPath, "json", schema, multiLine = TRUE)
##D df3 <- loadDF("data/test_table", "parquet", mergeSchema = "true")
## End(Not run)
[Package SparkR version 2.2.3 Index]