cube

0th

Percentile

cube

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

Usage
cube(x, ...)

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

Arguments
x

a SparkDataFrame.

...

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

Details

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

Value

A GroupedData.

Note

cube since 2.3.0

See Also

agg, groupBy, rollup

Other SparkDataFrame functions: SparkDataFrame-class, agg(), alias(), arrange(), as.data.frame(), attach,SparkDataFrame-method, broadcast(), cache(), checkpoint(), coalesce(), collect(), colnames(), coltypes(), createOrReplaceTempView(), crossJoin(), 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(), unionByName(), union(), unpersist(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Aliases
  • cube
  • cube,SparkDataFrame-method
Examples
# NOT RUN {
df <- createDataFrame(mtcars)
mean(cube(df, "cyl", "gear", "am"), "mpg")

# Following calls are equivalent
agg(cube(df), mean(df$mpg))
agg(df, mean(df$mpg))
# }
Documentation reproduced from package SparkR, version 2.4.6, License: Apache License (== 2.0)

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