SparkR (version 2.1.2)

collect: 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 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.

See Also

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

Examples

# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
collected <- collect(df)
firstName <- collected[[1]]$name
# }