| rollup {SparkR} | R Documentation |
Create a multi-dimensional rollup for the SparkDataFrame using the specified columns.
rollup(x, ...) ## S4 method for signature 'SparkDataFrame' rollup(x, ...)
x |
a SparkDataFrame. |
... |
character name(s) or Column(s) to group on. |
If grouping expression is missing rollup creates a single global aggregate and is
equivalent to direct application of agg.
A GroupedData.
rollup since 2.3.0
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,
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(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)