SparkR (version 3.1.2)

hint: hint

Description

Specifies execution plan hint and return a new SparkDataFrame.

Usage

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

Arguments

x

a SparkDataFrame.

name

a name of the hint.

...

optional parameters for the hint.

Value

A SparkDataFrame.

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(), dapplyCollect(), dapply(), describe(), dim(), distinct(), dropDuplicates(), dropna(), drop(), dtypes(), exceptAll(), except(), explain(), filter(), first(), gapplyCollect(), gapply(), getNumPartitions(), group_by(), head(), 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(), unionAll(), 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)
avg_mpg <- mean(groupBy(createDataFrame(mtcars), "cyl"), "mpg")

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