class AnyStatePartitionSerializer[K, V] extends StatePartitionSerializer[K, V]
Generic StatePartitionSerializer which can be used to serialize any RDD[K,V] using the Spark default serializer. It should be noted that the resulting serialization is fairly fragile, especially with Kryo the results depend on the order of Kryo class registration and weird deserialization errors can be thrown if that order changes.
- K
 key type
- V
 value type
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-  new AnyStatePartitionSerializer()(implicit arg0: ClassTag[K], arg1: ClassTag[V])
 
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-   final  def !=(arg0: Any): Boolean
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 -    def deserialize(bytes: Array[Byte]): Iterator[(K, V)]
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 - AnyStatePartitionSerializer → StatePartitionSerializer
 
 -   final  def eq(arg0: AnyRef): Boolean
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 -    def equals(arg0: AnyRef): Boolean
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 -    def serialize(values: Iterator[(K, V)]): Array[Byte]
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 -   final  def synchronized[T0](arg0: => T0): T0
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 (Since version 9)