viirya commented on a change in pull request #27499: [SPARK-30590][SQL] Untyped
select API cannot take typed column expression
URL: https://github.com/apache/spark/pull/27499#discussion_r377752050
##########
File path:
sql/core/src/test/scala/org/apache/spark/sql/DatasetAggregatorSuite.scala
##########
@@ -394,4 +403,21 @@ class DatasetAggregatorSuite extends QueryTest with
SharedSparkSession {
checkAnswer(group, Row("bob", Row(true, 3)) :: Nil)
checkDataset(group.as[OptionBooleanIntData], OptionBooleanIntData("bob",
Some((true, 3))))
}
+
+ test("SPARK-30590: select multiple typed column expressions") {
+ val df = Seq((1, 2, 3, 4, 5, 6)).toDF("a", "b", "c", "d", "e", "f")
+ val fooAgg = (i: Int) => FooAgg(i).toColumn.name(s"foo_agg_$i")
+
+ val agg1 = df.select(fooAgg(1), fooAgg(2), fooAgg(3), fooAgg(4), fooAgg(5))
+ checkDataset(agg1, (3, 5, 7, 9, 11))
+
+ val agg2 = df.selectUntyped(fooAgg(1), fooAgg(2), fooAgg(3), fooAgg(4),
fooAgg(5), fooAgg(6))
+ .asInstanceOf[Dataset[(Int, Int, Int, Int, Int, Int)]]
+ checkDataset(agg2, (3, 5, 7, 9, 11, 13))
+
+ val err = intercept[AnalysisException] {
+ df.select(fooAgg(1), fooAgg(2), fooAgg(3), fooAgg(4), fooAgg(5),
fooAgg(6))
Review comment:
I think we can do it like @HyukjinKwon suggested
https://github.com/apache/spark/pull/27499#discussion_r377444876, the result is
we will lose typed info from typed columns.
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