alias {SparkR} | R Documentation |
Returns a new SparkDataFrame or a Column with an alias set. Equivalent to SQL "AS" keyword.
## S4 method for signature 'Column' alias(object, data) ## S4 method for signature 'SparkDataFrame' alias(object, data)
object |
x a SparkDataFrame or a Column |
data |
new name to use |
a SparkDataFrame or a Column
alias(Column) since 1.4.0
alias(SparkDataFrame) since 2.3.0
Other colum_func: between
,
cast
, endsWith
,
otherwise
, over
,
startsWith
, substr
Other SparkDataFrame functions: SparkDataFrame-class
,
agg
, arrange
,
as.data.frame
,
attach,SparkDataFrame-method
,
broadcast
, cache
,
checkpoint
, coalesce
,
collect
, colnames
,
coltypes
,
createOrReplaceTempView
,
crossJoin
, cube
,
dapplyCollect
, dapply
,
describe
, dim
,
distinct
, dropDuplicates
,
dropna
, drop
,
dtypes
, exceptAll
,
except
, explain
,
filter
, first
,
gapplyCollect
, gapply
,
getNumPartitions
, group_by
,
head
, hint
,
histogram
, insertInto
,
intersectAll
, intersect
,
isLocal
, isStreaming
,
join
, limit
,
localCheckpoint
, merge
,
mutate
, ncol
,
nrow
, persist
,
printSchema
, randomSplit
,
rbind
, rename
,
repartitionByRange
,
repartition
, rollup
,
sample
, saveAsTable
,
schema
, selectExpr
,
select
, showDF
,
show
, storageLevel
,
str
, subset
,
summary
, take
,
toJSON
, unionAll
,
unionByName
, union
,
unpersist
, withColumn
,
withWatermark
, with
,
write.df
, write.jdbc
,
write.json
, write.orc
,
write.parquet
, write.stream
,
write.text
## Not run:
##D df <- createDataFrame(iris)
##D
##D head(select(
##D df, alias(df$Sepal_Length, "slength"), alias(df$Petal_Length, "plength")
##D ))
## End(Not run)
## Not run:
##D df <- alias(createDataFrame(mtcars), "mtcars")
##D avg_mpg <- alias(agg(groupBy(df, df$cyl), avg(df$mpg)), "avg_mpg")
##D
##D head(select(df, column("mtcars.mpg")))
##D head(join(df, avg_mpg, column("mtcars.cyl") == column("avg_mpg.cyl")))
## End(Not run)