Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/7746#discussion_r35732587
--- Diff: python/pyspark/sql/types.py ---
@@ -629,7 +629,7 @@ def jsonValue(self):
@classmethod
def fromJson(cls, json):
- pyUDT = json["pyClass"]
+ pyUDT = str(json["pyClass"])
--- End diff --
@davies If I don't add `str(...)`, I got the following exception in
`ml/clustering.py`:
~~~
File
"/Users/meng/src/spark/python/lib/pyspark.zip/pyspark/sql/types.py", line 636,
in fromJson
m = __import__(pyModule, globals(), locals(), [pyClass])
TypeError: ("Item in ``from list'' not a string", <function
_parse_datatype_json_string at 0x10436a7d0>,
(u'{"type":"struct","fields":[{"name":"features","type":{"type":"udt","class":"org.apache.spark.mllib.linalg.VectorUDT","pyClass":"pyspark.mllib.linalg.VectorUDT","sqlType":{"type":"struct","fields":[{"name":"type","type":"byte","nullable":false,"metadata":{}},{"name":"size","type":"integer","nullable":true,"metadata":{}},{"name":"indices","type":{"type":"array","elementType":"integer","containsNull":false},"nullable":true,"metadata":{}},{"name":"values","type":{"type":"array","elementType":"double","containsNull":false},"nullable":true,"metadata":{}}]}},"nullable":true,"metadata":{}},{"name":"prediction","type":"integer","nullable":true,"metadata":{}}]}',))
~~~
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