HyukjinKwon commented on a change in pull request #33214:
URL: https://github.com/apache/spark/pull/33214#discussion_r664341267
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File path: python/pyspark/sql/tests/test_types.py
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@@ -204,6 +204,16 @@ def test_infer_nested_schema(self):
df = self.spark.createDataFrame(rdd)
self.assertEqual(Row(field1=1, field2=u'row1'), df.first())
+ def test_infer_nested_dict(self):
+ # SPARK-35929: Test inferring nested dict as a struct type.
+ NestedRow = Row("f1", "f2")
+
+ with
self.sql_conf({"spark.sql.pyspark.inferNestedDictAsStruct.enabled": True}):
+ nestedRdd = self.sc.parallelize([NestedRow([{"payment": 200.5,
"name": "A"}], [1, 2]),
Review comment:
Can we also test with local dataset instead of RDD? e.g.,
`spark.createDataFrame([NestedRow([{"payment": 200.5, "name": ", ...)` because
the code path is different.
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