hint — hint • SparkR

Specifies execution plan hint and return a new SparkDataFrame.

Usage

hint(x, name, ...)

# S4 method for class 'SparkDataFrame,character'
hint(x, name, ...)

Arguments

x: a SparkDataFrame.
name: a name of the hint.
...: optional parameters for the hint.

Value

A SparkDataFrame.

Note

hint since 2.2.0

See also

Other SparkDataFrame functions: SparkDataFrame-class, agg(), alias(), arrange(), as.data.frame(), attach,SparkDataFrame-method, broadcast(), cache(), checkpoint(), coalesce(), collect(), colnames(), coltypes(), createOrReplaceTempView(), crossJoin(), cube(), dapply(), dapplyCollect(), describe(), dim(), distinct(), drop(), dropDuplicates(), dropna(), dtypes(), except(), exceptAll(), explain(), filter(), first(), gapply(), gapplyCollect(), getNumPartitions(), group_by(), head(), histogram(), insertInto(), intersect(), intersectAll(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), rename(), repartition(), repartitionByRange(), rollup(), sample(), saveAsTable(), schema(), select(), selectExpr(), show(), showDF(), storageLevel(), str(), subset(), summary(), take(), toJSON(), union(), unionAll(), unionByName(), unpersist(), unpivot(), with(), withColumn(), withWatermark(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Examples

if (FALSE) { # \dontrun{
df <- createDataFrame(mtcars)
avg_mpg <- mean(groupBy(createDataFrame(mtcars), "cyl"), "mpg")

head(join(df, hint(avg_mpg, "broadcast"), df$cyl == avg_mpg$cyl))
} # }