SparkR (version 2.3.0)

rollup: rollup

Description

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

Usage

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

Arguments

x

a SparkDataFrame.

...

character name(s) or Column(s) to group on.

Value

A GroupedData.

Details

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

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, except, explain, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, hint, histogram, insertInto, intersect, isLocal, isStreaming, join, limit, localCheckpoint, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, rename, repartition, sample, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, summary, take, toJSON, unionByName, union, unpersist, withColumn, withWatermark, with, write.df, write.jdbc, write.json, write.orc, write.parquet, write.stream, write.text

Examples

# NOT RUN {
df <- createDataFrame(mtcars)
mean(rollup(df, "cyl", "gear", "am"), "mpg")

# Following calls are equivalent
agg(rollup(df), mean(df$mpg))
agg(df, mean(df$mpg))
# }