as.data.frame

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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

See Also

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(), unionByName(), union(), unpersist(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Aliases
  • as.data.frame
  • as.data.frame,SparkDataFrame-method
Examples
# NOT RUN {
irisDF <- createDataFrame(iris)
df <- as.data.frame(irisDF[irisDF$Species == "setosa", ])
# }
Documentation reproduced from package SparkR, version 2.4.6, License: Apache License (== 2.0)

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