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Showing content from https://spark.apache.org/docs/latest/api/R/reference/alias.html below:

alias — alias • SparkR

Returns a new SparkDataFrame or a Column with an alias set. Equivalent to SQL "AS" keyword.

# S4 method for class 'Column'
alias(object, data)

# S4 method for class '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 column_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(), unpivot(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

if (FALSE) { # \dontrun{
df <- createDataFrame(iris)

head(select(
  df, alias(df$Sepal_Length, "slength"), alias(df$Petal_Length, "plength")
))
} # }
if (FALSE) { # \dontrun{
df <- alias(createDataFrame(mtcars), "mtcars")
avg_mpg <- alias(agg(groupBy(df, df$cyl), avg(df$mpg)), "avg_mpg")

head(select(df, column("mtcars.mpg")))
head(join(df, avg_mpg, column("mtcars.cyl") == column("avg_mpg.cyl")))
} # }

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