olaky commented on code in PR #46280:
URL: https://github.com/apache/spark/pull/46280#discussion_r1603195283


##########
python/pyspark/sql/tests/test_types.py:
##########
@@ -549,6 +549,129 @@ def test_convert_list_to_str(self):
         self.assertEqual(df.count(), 1)
         self.assertEqual(df.head(), Row(name="[123]", income=120))
 
+    def test_schema_with_collations_json_ser_de(self):
+        from pyspark.sql.types import _parse_datatype_json_string
+
+        unicode_collation = "UNICODE"
+
+        simple_struct = StructType([StructField("c1", 
StringType(unicode_collation))])
+
+        nested_struct = StructType([StructField("nested", simple_struct)])
+
+        array_in_schema = StructType(
+            [StructField("array", ArrayType(StringType(unicode_collation)))]
+        )
+
+        map_in_schema = StructType(
+            [
+                StructField(
+                    "map", MapType(StringType(unicode_collation), 
StringType(unicode_collation))
+                )
+            ]
+        )
+
+        array_in_map = StructType(
+            [
+                StructField(
+                    "arrInMap",
+                    MapType(
+                        StringType(unicode_collation), 
ArrayType(StringType(unicode_collation))
+                    ),
+                )
+            ]
+        )
+
+        nested_array_in_map = StructType(
+            [
+                StructField(
+                    "nestedArrayInMap",
+                    ArrayType(
+                        MapType(
+                            StringType(unicode_collation),
+                            
ArrayType(ArrayType(StringType(unicode_collation))),
+                        )
+                    ),
+                )
+            ]
+        )
+
+        schema_with_multiple_fields = StructType(
+            simple_struct.fields
+            + nested_struct.fields
+            + array_in_schema.fields
+            + map_in_schema.fields
+            + array_in_map.fields
+            + nested_array_in_map.fields
+        )
+
+        schemas = [
+            simple_struct,
+            nested_struct,
+            array_in_schema,
+            map_in_schema,
+            nested_array_in_map,
+            array_in_map,
+            schema_with_multiple_fields,
+        ]
+
+        for schema in schemas:
+            scala_datatype = 
self.spark._jsparkSession.parseDataType(schema.json())

Review Comment:
   right, my bad



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