Packages

c

org.apache.spark.rdd

SequenceFileRDDFunctions

class SequenceFileRDDFunctions[K, V] extends Logging with Serializable

Extra functions available on RDDs of (key, value) pairs to create a Hadoop SequenceFile, through an implicit conversion.

Source
SequenceFileRDDFunctions.scala
Note

This can't be part of PairRDDFunctions because we need more implicit parameters to convert our keys and values to Writable.

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Instance Constructors

  1. new SequenceFileRDDFunctions(self: RDD[(K, V)], _keyWritableClass: Class[_ <: Writable], _valueWritableClass: Class[_ <: Writable])(implicit arg0: IsWritable[K], arg1: ClassTag[K], arg2: IsWritable[V], arg3: ClassTag[V])

Value Members

  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. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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    protected[lang]
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    @throws( ... ) @native() @IntrinsicCandidate()
  6. final def eq(arg0: AnyRef): Boolean
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  7. def equals(arg0: Any): Boolean
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  8. final def getClass(): Class[_]
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    @native() @IntrinsicCandidate()
  9. def hashCode(): Int
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    @native() @IntrinsicCandidate()
  10. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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  11. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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  12. final def isInstanceOf[T0]: Boolean
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  13. def isTraceEnabled(): Boolean
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  14. def log: Logger
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  15. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
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  16. def logDebug(msg: ⇒ String): Unit
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  17. def logError(msg: ⇒ String, throwable: Throwable): Unit
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  18. def logError(msg: ⇒ String): Unit
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  19. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
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  20. def logInfo(msg: ⇒ String): Unit
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  21. def logName: String
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  22. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
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  23. def logTrace(msg: ⇒ String): Unit
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  24. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
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  25. def logWarning(msg: ⇒ String): Unit
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  26. final def ne(arg0: AnyRef): Boolean
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  27. final def notify(): Unit
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    @native() @IntrinsicCandidate()
  28. final def notifyAll(): Unit
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    @native() @IntrinsicCandidate()
  29. def saveAsSequenceFile(path: String, codec: Option[Class[_ <: CompressionCodec]] = None): Unit

    Output the RDD as a Hadoop SequenceFile using the Writable types we infer from the RDD's key and value types.

    Output the RDD as a Hadoop SequenceFile using the Writable types we infer from the RDD's key and value types. If the key or value are Writable, then we use their classes directly; otherwise we map primitive types such as Int and Double to IntWritable, DoubleWritable, etc, byte arrays to BytesWritable, and Strings to Text. The path can be on any Hadoop-supported file system.

  30. final def synchronized[T0](arg0: ⇒ T0): T0
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  31. def toString(): String
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  32. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  33. final def wait(arg0: Long): Unit
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    @throws( ... ) @native()
  34. final def wait(): Unit
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    @throws( ... )

Deprecated Value Members

  1. def finalize(): Unit
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    protected[lang]
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    @throws( classOf[java.lang.Throwable] ) @Deprecated
    Deprecated

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