Download data from a SparkDataFrame into a R data.frame

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.

Note

as.data.frame since 1.6.0

Other SparkDataFrame functions: SparkDataFrame-class, agg(), alias(), arrange(), attach,SparkDataFrame-method, broadcast(), cache(), checkpoint(), coalesce(), collect(), colnames(), coltypes(), createOrReplaceTempView(), crossJoin(), cube(), dapplyCollect(), dapply(), describe(), dim(), distinct(), dropDuplicates(), dropna(), drop(), dtypes(), exceptAll(), except(), explain(), filter(), first(), gapplyCollect(), gapply(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersectAll(), intersect(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), rename(), repartitionByRange(), repartition(), rollup(), sample(), saveAsTable(), schema(), selectExpr(), select(), showDF(), show(), storageLevel(), str(), subset(), summary(), take(), toJSON(), unionAll(), unionByName(), union(), unpersist(), unpivot(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Examples

if (FALSE) {
irisDF <- createDataFrame(iris)
df <- as.data.frame(irisDF[irisDF$Species == "setosa", ])
}