dongjoon-hyun commented on code in PR #47253:
URL: https://github.com/apache/spark/pull/47253#discussion_r1703383620
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sql/core/src/test/scala/org/apache/spark/sql/execution/python/PythonUDFSuite.scala:
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@@ -86,6 +86,61 @@ class PythonUDFSuite extends QueryTest with
SharedSparkSession {
checkAnswer(actual, expected)
}
+ test("variant input to pandas grouped agg UDF") {
+ assume(shouldTestPandasUDFs)
+ val df = spark.range(0, 10).selectExpr(
+ """parse_json(format_string('{"%s": "test"}', id)) as v""")
+
+ val testUdf = TestGroupedAggPandasUDFStringifiedMax(name = "pandas_udf")
+ checkError(
+ exception = intercept[AnalysisException] {
+ df.agg(testUdf(df("v"))).collect()
+ },
+ errorClass = "DATATYPE_MISMATCH.UNSUPPORTED_UDF_INPUT_TYPE",
+ parameters = Map("sqlExpr" -> "\"pandas_udf(v)\"", "dataType" ->
"VARIANT"))
+ }
+
+ test("complex variant input to pandas grouped agg UDF") {
Review Comment:
To @richardc-db, @allisonwang-db , @HyukjinKwon .
This test case seems to miss `assume(shouldTestPandasUDFs)` mistakenly.
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