collect: Collects all the elements of a SparkDataFrame and coerces...

In SparkR: R Front End for 'Apache Spark'

Description

Collects all the elements of a SparkDataFrame and coerces them into an R data.frame.

Usage

collect(x, ...)

## S4 method for signature 'SparkDataFrame'
collect(x, stringsAsFactors = FALSE)

Arguments

x	a SparkDataFrame.
...	further arguments to be passed to or from other methods.
stringsAsFactors	(Optional) a logical indicating whether or not string columns should be converted to factors. FALSE by default.

Note

collect since 1.4.0

See Also

Other SparkDataFrame functions: SparkDataFrame-class, agg(), alias(), arrange(), as.data.frame(), attach,SparkDataFrame-method, broadcast(), cache(), checkpoint(), coalesce(), 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(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Examples

## Not run: 
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
collected <- collect(df)
class(collected)
firstName <- names(collected)[1]

## End(Not run)

SparkR documentation built on June 3, 2021, 5:05 p.m.