stefankandic commented on code in PR #46280:
URL: https://github.com/apache/spark/pull/46280#discussion_r1598426717
##########
python/pyspark/sql/tests/test_types.py:
##########
@@ -549,6 +549,76 @@ 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_in_nested_schema = StructType(
Review Comment:
you are right we don't need that
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