def _load_feature_rdd(self, file_rdd_factory: JavaObject,
projected_polygons, from_date: str, to_date: str,
zoom: int,
tile_size: int) -> Tuple[pyspark.RDD, JavaObject]:
logger.info(
"Loading feature JSON RDD from {f}".format(f=file_rdd_factory))
json_rdd = file_rdd_factory.loadSpatialFeatureJsonRDD(
projected_polygons, from_date, to_date, zoom, tile_size)
jrdd = json_rdd._1()
layer_metadata_sc = json_rdd._2()
# Decode/unwrap the JavaRDD of JSON blobs we built in Scala,
# additionally pickle-serialized by the PySpark adaption layer.
j2p_rdd = self.jvm.SerDe.javaToPython(jrdd)
serializer = pyspark.serializers.PickleSerializer()
pyrdd = geopyspark.create_python_rdd(j2p_rdd, serializer=serializer)
pyrdd = pyrdd.map(json.loads)
return pyrdd, layer_metadata_sc
