Github user mgaido91 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21621#discussion_r197635219
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/DataFrameFunctionsSuite.scala ---
@@ -556,6 +556,17 @@ class DataFrameFunctionsSuite extends QueryTest with
SharedSQLContext {
checkAnswer(df8.selectExpr("arrays_zip(v1, v2)"), expectedValue8)
}
+ test("SPARK-24633: arrays_zip splits input processing correctly") {
+ Seq("true", "false").foreach { wholestageCodegenEnabled =>
+ withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key ->
wholestageCodegenEnabled) {
+ val df = spark.range(1)
+ val exprs = (0 to 5).map(x => array($"id" + lit(x)))
--- End diff --
@bersprockets it is not splitting if you have wholestagecodegen enabled
because in that case we are not able (at the moment at least) to split methods
using current inputs.
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