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[SPARK-6379][SQL] Support a functon to call user-defined functions registered in SQLContext #5061

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[SPARK-6379][SQL] Support a functon to call user-defined functions registered in SQLContext #5061

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8b56f10
Support an implicit conversion from udf"name" to an UDF defined in SQ…
maropu Mar 17, 2015
599b76c
Remove the implicit conversion and add SqlContext#callUdf
maropu Mar 18, 2015
afd0380
Add a return type of callUDF
maropu Mar 23, 2015
f858aff
Move the function into functions.scala
maropu Mar 26, 2015
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21 changes: 20 additions & 1 deletion sql/core/src/main/scala/org/apache/spark/sql/functions.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ import scala.reflect.runtime.universe.{TypeTag, typeTag}

import org.apache.spark.annotation.Experimental
import org.apache.spark.sql.catalyst.ScalaReflection
import org.apache.spark.sql.catalyst.analysis.Star
import org.apache.spark.sql.catalyst.analysis.{UnresolvedFunction, Star}
import org.apache.spark.sql.catalyst.expressions._
import org.apache.spark.sql.types._

Expand Down Expand Up @@ -605,4 +605,23 @@ object functions {
}

// scalastyle:on

/**
* Call an user-defined function.
* Example:
* {{{
* import org.apache.spark.sql._
*
* val df = Seq(("id1", 1), ("id2", 4), ("id3", 5)).toDF("id", "value")
* val sqlContext = df.sqlContext
* sqlContext.udf.register("simpleUdf", (v: Int) => v * v)
* df.select($"id", callUdf("simpleUdf", $"value"))
* }}}
*
* @group udf_funcs
*/
def callUdf(udfName: String, cols: Column*): Column = {
UnresolvedFunction(udfName, cols.map(_.expr))
}

}
9 changes: 9 additions & 0 deletions sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
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Expand Up @@ -422,6 +422,15 @@ class DataFrameSuite extends QueryTest {
)
}

test("call udf in SQLContext") {
val df = Seq(("id1", 1), ("id2", 4), ("id3", 5)).toDF("id", "value")
val sqlctx = df.sqlContext
sqlctx.udf.register("simpleUdf", (v: Int) => v * v)
checkAnswer(
df.select($"id", callUdf("simpleUdf", $"value")),
Row("id1", 1) :: Row("id2", 16) :: Row("id3", 25) :: Nil)
}

test("withColumn") {
val df = testData.toDF().withColumn("newCol", col("key") + 1)
checkAnswer(
Expand Down