SparkR (version 2.1.2)

as.data.frame: Download data from a SparkDataFrame into a R data.frame

Description

This function downloads the contents of a SparkDataFrame into an R's data.frame. Since data.frames are held in memory, ensure that you have enough memory in your system to accommodate the contents.

Usage

as.data.frame(x, row.names = NULL, optional = FALSE, ...)
# S4 method for SparkDataFrame
as.data.frame(x, row.names = NULL,
  optional = FALSE, ...)

Arguments

x

a SparkDataFrame.

row.names

NULL or a character vector giving the row names for the data frame.

optional

If TRUE, converting column names is optional.

...

additional arguments to pass to base::as.data.frame.

Value

A data.frame.

See Also

Other SparkDataFrame functions: SparkDataFrame-class, agg, arrange, attach, cache, coalesce, collect, colnames, coltypes, createOrReplaceTempView, crossJoin, dapplyCollect, dapply, describe, dim, distinct, dropDuplicates, dropna, drop, dtypes, except, explain, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, histogram, insertInto, intersect, isLocal, join, limit, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, rename, repartition, sample, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, take, union, unpersist, withColumn, with, write.df, write.jdbc, write.json, write.orc, write.parquet, write.text

Examples

# NOT RUN {
irisDF <- createDataFrame(iris)
df <- as.data.frame(irisDF[irisDF$Species == "setosa", ])
# }