collect {SparkR}R Documentation

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

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

Examples

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

[Package SparkR version 2.2.2 Index]