Github user EntilZha commented on a diff in the pull request:
https://github.com/apache/spark/pull/7580#discussion_r35239110
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala ---
@@ -298,4 +298,32 @@ class DataFrameFunctionsSuite extends QueryTest {
Seq(Row(2), Row(0), Row(3))
)
}
+
+ test("array contains function") {
+ val df = Seq(
+ (Seq[Int](1, 2), "x"),
+ (Seq[Int](), "y"),
+ (null, "z")
+ ).toDF("a", "b")
+ checkAnswer(
+ df.select(array_contains("a", 1)),
+ Seq(Row(true), Row(false), Row(false))
+ )
+ checkAnswer(
+ df.selectExpr("array_contains(a, 1)"),
+ Seq(Row(true), Row(false), Row(false))
+ )
+ //checkAnswer(
--- End diff --
So given that I should use `eval` since we are overriding the default
behavior of `null` arguments (which is being overridden to return `false`), and
that as the tests are currently written they fail (with the above stack trace),
how would it be best to test this?
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