as.data.frame {SparkR} | R Documentation |
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.
as.data.frame(x, row.names = NULL, optional = FALSE, ...) ## S4 method for signature 'SparkDataFrame' as.data.frame(x, row.names = NULL, optional = FALSE, ...)
x |
a SparkDataFrame |
a data.frame
Other SparkDataFrame functions: SparkDataFrame-class
,
[[
, agg
,
arrange
, attach
,
cache
, collect
,
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
##D irisDF <- createDataFrame(sqlContext, iris)
##D df <- as.data.frame(irisDF[irisDF$Species == "setosa", ])
## End(Not run)