Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/9870#discussion_r45519517
--- Diff:
repl/scala-2.10/src/test/scala/org/apache/spark/repl/ReplSuite.scala ---
@@ -315,6 +315,30 @@ class ReplSuite extends SparkFunSuite {
}
}
+ test("Datasets agg type-inference") {
+ val output = runInterpreter("local",
+ """
+ |import org.apache.spark.sql.functions._
+ |import org.apache.spark.sql.Encoder
+ |import org.apache.spark.sql.expressions.Aggregator
+ |import org.apache.spark.sql.TypedColumn
+ |/** An `Aggregator` that adds up any numeric type returned by the
given function. */
+ |class SumOf[I, N : Numeric](f: I => N) extends Aggregator[I, N,
N] with Serializable {
+ | val numeric = implicitly[Numeric[N]]
+ | override def zero: N = numeric.zero
+ | override def reduce(b: N, a: I): N = numeric.plus(b, f(a))
+ | override def merge(b1: N,b2: N): N = numeric.plus(b1, b2)
+ | override def finish(reduction: N): N = reduction
+ |}
+ |
+ |def sum[I, N : Numeric : Encoder](f: I => N): TypedColumn[I, N] =
new SumOf(f).toColumn
+ |val ds = Seq((1, 1, 2L), (1, 2, 3L), (1, 3, 4L), (2, 1,
5L)).toDS()
+ |ds.groupBy(_._1).agg(sum(_._2), sum(_._3)).collect()
--- End diff --
@dragos any idea why it fails to infer the type only in the REPL?
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