rollup

Description

Create a multi-dimensional rollup for the SparkDataFrame using the specified columns.

Usage

rollup(x, ...)

## S4 method for signature 'SparkDataFrame'
rollup(x, ...)

Arguments

Details

If grouping expression is missing rollup creates a single global aggregate and is equivalent to direct application of agg.

Value

A GroupedData.

Note

rollup since 2.3.0

See Also

agg, cube, groupBy

Other SparkDataFrame functions: SparkDataFrame-class, agg(), alias(), 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(), 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()

Examples

## Not run: 
##D df <- createDataFrame(mtcars)
##D mean(rollup(df, "cyl", "gear", "am"), "mpg")
##D 
##D # Following calls are equivalent
##D agg(rollup(df), mean(df$mpg))
##D agg(df, mean(df$mpg))
## End(Not run)