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Return a list of randomly split dataframes with the provided weights.

Usage

randomSplit(x, weights, seed)

# S4 method for SparkDataFrame,numeric
randomSplit(x, weights, seed)

Arguments

x

A SparkDataFrame

weights

A vector of weights for splits, will be normalized if they don't sum to 1

seed

A seed to use for random split

Note

randomSplit since 2.0.0

Examples

if (FALSE) {
sparkR.session()
df <- createDataFrame(data.frame(id = 1:1000))
df_list <- randomSplit(df, c(2, 3, 5), 0)
# df_list contains 3 SparkDataFrames with each having about 200, 300 and 500 rows respectively
sapply(df_list, count)
}