AngersZhuuuu commented on a change in pull request #30957:
URL: https://github.com/apache/spark/pull/30957#discussion_r571443348
##########
File path:
sql/core/src/test/scala/org/apache/spark/sql/execution/BaseScriptTransformationSuite.scala
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@@ -471,6 +473,126 @@ abstract class BaseScriptTransformationSuite extends
SparkPlanTest with SQLTestU
}
}
+ test("SPARK-31936: Script transform support ArrayType/MapType/StructType (no
serde)") {
+ assume(TestUtils.testCommandAvailable("python"))
+ withTempView("v") {
+ val df = Seq(
+ (Array(0, 1, 2), Array(Array(0, 1), Array(2)),
+ Map("a" -> 1), Map("b" -> Array("a", "b"))),
+ (Array(3, 4, 5), Array(Array(3, 4), Array(5)),
+ Map("b" -> 2), Map("c" -> Array("c", "d"))),
+ (Array(6, 7, 8), Array(Array(6, 7), Array(8)),
+ Map("c" -> 3), Map("d" -> Array("e", "f")))
+ ).toDF("a", "b", "c", "d")
+ .select('a, 'b, 'c, 'd,
+ struct('a, 'b).as("e"),
+ struct('a, 'd).as("f"),
+ struct(struct('a, 'b), struct('a, 'd)).as("g")
+ )
+
+ checkAnswer(
+ df,
+ (child: SparkPlan) => createScriptTransformationExec(
+ input = Seq(
+ df.col("a").expr,
+ df.col("b").expr,
+ df.col("c").expr,
+ df.col("d").expr,
+ df.col("e").expr,
+ df.col("f").expr,
+ df.col("g").expr),
+ script = "cat",
+ output = Seq(
+ AttributeReference("a", ArrayType(IntegerType))(),
+ AttributeReference("b", ArrayType(ArrayType(IntegerType)))(),
+ AttributeReference("c", MapType(StringType, IntegerType))(),
+ AttributeReference("d", MapType(StringType,
ArrayType(StringType)))(),
+ AttributeReference("e", StructType(
+ Array(StructField("a", ArrayType(IntegerType)),
+ StructField("b", ArrayType(ArrayType(IntegerType))))))(),
+ AttributeReference("f", StructType(
+ Array(StructField("a", ArrayType(IntegerType)),
+ StructField("d", MapType(StringType,
ArrayType(StringType))))))(),
+ AttributeReference("g", StructType(
+ Array(StructField("col1", StructType(
+ Array(StructField("a", ArrayType(IntegerType)),
+ StructField("b", ArrayType(ArrayType(IntegerType)))))),
+ StructField("col2", StructType(
+ Array(StructField("a", ArrayType(IntegerType)),
+ StructField("d", MapType(StringType,
ArrayType(StringType)))))))))()),
+ child = child,
+ ioschema = defaultIOSchema
+ ),
+ df.select('a, 'b, 'c, 'd, 'e, 'f, 'g).collect())
+ }
+ }
+
+ test("SPARK-31936: Script transform support nested complex type (no serde)")
{
Review comment:
> What's the purpose of this tests? It seems this test does not improve
test coverage.
Want to show we can support more complex case. Ok, I will remove this.
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