Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/17226#discussion_r105322199
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/DataFramePivotSuite.scala ---
@@ -216,4 +216,18 @@ class DataFramePivotSuite extends QueryTest with
SharedSQLContext{
Row("d", 15000.0, 48000.0) :: Row("J", 20000.0, 30000.0) :: Nil
)
}
+
+ test("pivot with null should not throw NPE") {
+ checkAnswer(
+ Seq(Tuple1(None),
Tuple1(Some(1))).toDF("a").groupBy($"a").pivot("a").count(),
+ Row(null, 1, null) :: Row(1, null, 1) :: Nil)
+ }
+
+ test("pivot with null and aggregate type not supported by PivotFirst
returns correct result") {
+ checkAnswer(
+ Seq(Tuple1(None), Tuple1(Some(1))).toDF("a")
+ .withColumn("b", expr("array(a, 7)"))
+ .groupBy($"a").pivot("a").agg(min($"b")),
--- End diff --
Can we use the same `count` for unsupported types so that we can confirm
they produce the same results whether it is optimized or not optimized?
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