xinrong-databricks commented on a change in pull request #34671:
URL: https://github.com/apache/spark/pull/34671#discussion_r754555187
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File path: python/pyspark/ml/common.py
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@@ -53,24 +57,24 @@ def _new_smart_decode(obj):
# this will call the ML version of pythonToJava()
-def _to_java_object_rdd(rdd):
+def _to_java_object_rdd(rdd: RDD) -> JavaObject:
"""Return an JavaRDD of Object by unpickling
It will convert each Python object into Java object by Pickle, whenever the
RDD is serialized in batch or not.
"""
- rdd = rdd._reserialize(AutoBatchedSerializer(PickleSerializer()))
- return
rdd.ctx._jvm.org.apache.spark.ml.python.MLSerDe.pythonToJava(rdd._jrdd, True)
+ rdd = rdd._reserialize(AutoBatchedSerializer(PickleSerializer())) # type:
ignore[attr-defined]
+ return
rdd.ctx._jvm.org.apache.spark.ml.python.MLSerDe.pythonToJava(rdd._jrdd, True)
# type: ignore[attr-defined]
Review comment:
I think it is fine to leave `type: ignore[attr-defined]` here. We may
come back to these after inlining type hints for SparkContext for example.
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