object RDDGenerator

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  4. def arbitraryRDD[T](sc: SparkContext, minPartitions: Int = 1)(generator: ⇒ Gen[T])(implicit arg0: ClassTag[T]): Arbitrary[RDD[T]]

    Generate an RDD of the desired type.

    Generate an RDD of the desired type. Attempt to try different number of partitions so as to catch problems with empty partitions, etc.

    minPartitions defaults to 1, but when generating data too large for a single machine you must choose a larger value.

    T

    The required type for the RDD

    sc

    Spark Context

    minPartitions

    defaults to 1

    generator

    used to create the generator. This function will be used to create the generator as many times as required.

  5. def arbitrarySizedRDD[T](sc: SparkContext, minPartitions: Int = 1)(generator: (Int) ⇒ Gen[T])(implicit arg0: ClassTag[T]): Arbitrary[RDD[T]]

    Generate an RDD of the desired type with its size accessible in the lambda.

    Generate an RDD of the desired type with its size accessible in the lambda. Attempt to try different number of partitions so as to catch problems with empty partitions, etc.

    minPartitions defaults to 1, but when generating data too large for a single machine you must choose a larger value.

    T

    The required type for the RDD

    sc

    Spark Context

    minPartitions

    defaults to 1

    generator

    used to create the generator. This function will be used to create the generator as many times as required.

  6. final def asInstanceOf[T0]: T0
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  7. def clone(): AnyRef
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  10. def genRDD[T](sc: SparkContext, minPartitions: Int = 1)(generator: ⇒ Gen[T])(implicit arg0: ClassTag[T]): Gen[RDD[T]]

    Generate an RDD of the desired type.

    Generate an RDD of the desired type. Attempt to try different number of partitions so as to catch problems with empty partitions, etc.

    minPartitions defaults to 1, but when generating data too large for a single machine you must choose a larger value.

    T

    The required type for the RDD

    sc

    Spark Context

    minPartitions

    defaults to 1

    generator

    used to create the generator. This function will be used to create the generator as many times as required.

  11. def genSizedRDD[T](sc: SparkContext, minPartitions: Int = 1)(generator: (Int) ⇒ Gen[T])(implicit arg0: ClassTag[T]): Gen[RDD[T]]

    Generate an RDD of the desired type with its size accessible in the lambda.

    Generate an RDD of the desired type with its size accessible in the lambda. Attempt to try different number of partitions so as to catch problems with empty partitions, etc.

    minPartitions defaults to 1, but when generating data too large for a single machine you must choose a larger value.

    T

    The required type for the RDD

    sc

    Spark Context

    minPartitions

    defaults to 1

    generator

    used to create the generator. This function will be used to create the generator as many times as required.

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