rdblue commented on a change in pull request #25024: [SPARK-27296][SQL] User
Defined Aggregators that do not ser/de on each input row
URL: https://github.com/apache/spark/pull/25024#discussion_r336709848
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File path: sql/core/src/test/scala/org/apache/spark/sql/SQLContextSuite.scala
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@@ -51,7 +51,7 @@ class SQLContextSuite extends SparkFunSuite with
SharedSparkContext {
// UDF should not be shared
def myadd(a: Int, b: Int): Int = a + b
- session1.udf.register[Int, Int, Int]("myadd", myadd)
+ session1.udf.register[Int, Int, Int]("myadd", myadd(_, _))
Review comment:
So is the problem that this has 3 type parameters, so the method can't be
automatically converted to `Function2[R, A1, A2]`? That doesn't make much sense
to me since a method clearly isn't an `Aggregator[IN, BUF, OUT]`
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