SparkDataFrame-class {SparkR} | R Documentation |
DataFrames can be created using functions like createDataFrame, read.json, table etc.
dataFrame(sdf, isCached = FALSE)
sdf |
A Java object reference to the backing Scala DataFrame |
isCached |
TRUE if the SparkDataFrame is cached |
env
An R environment that stores bookkeeping states of the SparkDataFrame
sdf
A Java object reference to the backing Scala DataFrame
createDataFrame, read.json, table
https://spark.apache.org/docs/latest/sparkr.html#sparkr-dataframes
Other SparkDataFrame functions: [[
,
agg
, arrange
,
as.data.frame
, 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 sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D df <- createDataFrame(sqlContext, faithful)
## End(Not run)