Object

fif.spark

RddSerializedOps

Related Doc: package spark

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object RddSerializedOps extends Serializable

Methods that either wrap, or operate on wrapped, values so that common RDD operations are available with a natural, functional syntax.

Let's look at Map as an example:

// implemented using librray that is not extendable and doesn't implement Serialzable
val f: A => B = ...

// can be anywhere, error will occur even if in local mode
val data: RDD[A] = ...

// cannot do
data.map(f)
// runtime exception :(
// as f does not implement Serializable

// instead do
Map(f)(data)
// will serialize it using Kryo and safely
// deserialize to perform map on the data RDD
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Serializable, Serializable, AnyRef, Any
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  1. RddSerializedOps
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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. object Aggregate extends Serializable

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  5. object FlatMap extends Serializable

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  6. object Foreach extends Serializable

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  7. object Map extends Serializable

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  8. final def asInstanceOf[T0]: T0

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  9. def clone(): AnyRef

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  10. final def eq(arg0: AnyRef): Boolean

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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  13. final def getClass(): Class[_]

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. final def synchronized[T0](arg0: ⇒ T0): T0

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  20. def toString(): String

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  21. final def wait(): Unit

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  22. final def wait(arg0: Long, arg1: Int): Unit

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  23. final def wait(arg0: Long): Unit

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Inherited from Serializable

Inherited from Serializable

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