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 class '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(), dapply(), dapplyCollect(), describe(), dim(), distinct(), drop(), dropDuplicates(), dropna(), dtypes(), except(), exceptAll(), explain(), filter(), first(), gapply(), gapplyCollect(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersect(), intersectAll(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), rename(), repartition(), repartitionByRange(), rollup(), sample(), saveAsTable(), schema(), select(), selectExpr(), show(), showDF(), storageLevel(), str(), subset(), summary(), take(), toJSON(), union(), unionAll(), unionByName(), unpersist(), unpivot(), with(), withColumn(), withWatermark(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Examples

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