collect {SparkR} | R Documentation |
Collects all the elements of a SparkDataFrame and coerces them into an R data.frame.
## S4 method for signature 'SparkDataFrame' collect(x, stringsAsFactors = FALSE)
x |
A SparkDataFrame |
stringsAsFactors |
(Optional) A logical indicating whether or not string columns should be converted to factors. FALSE by default. |
Other SparkDataFrame functions: SparkDataFrame-class
,
[[
, agg
,
arrange
, as.data.frame
,
attach
, cache
,
colnames
, coltypes
,
columns
, count
,
dapply
, describe
,
dim
, distinct
,
dropDuplicates
, dropna
,
drop
, dtypes
,
except
, explain
,
filter
, first
,
group_by
, head
,
histogram
, insertInto
,
intersect
, isLocal
,
join
, limit
,
merge
, mutate
,
ncol
, persist
,
printSchema
,
registerTempTable
, rename
,
repartition
, sample
,
saveAsTable
, selectExpr
,
select
, showDF
,
show
, str
,
take
, unionAll
,
unpersist
, withColumn
,
write.df
, write.jdbc
,
write.json
, write.parquet
,
write.text
## Not run:
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- read.json(sqlContext, path)
##D collected <- collect(df)
##D firstName <- collected[[1]]$name
## End(Not run)