CassandraTableScanRDD

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1. final def !=(arg0: AnyRef): Boolean

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2. final def !=(arg0: Any): Boolean

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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6. def apply[K, V](sc: SparkContext, keyspaceName: String, tableName: String)(implicit keyCT: ClassTag[K], valueCT: ClassTag[V], rrf: RowReaderFactory[(K, V)], rwf: RowWriterFactory[K]): CassandraTableScanRDD[(K, V)]

7. def apply[T](sc: SparkContext, keyspaceName: String, tableName: String)(implicit arg0: ClassTag[T], arg1: RowReaderFactory[T]): CassandraTableScanRDD[T]

8. final def asInstanceOf[T0]: T0

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9. def clone(): AnyRef

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10. def countRDD[R](rdd: CassandraTableScanRDD[R]): CassandraTableScanRDD[Long]

    It is used by cassandraCount() and spark sql cassandra source to push down counts to cassandra

    It is used by cassandraCount() and spark sql cassandra source to push down counts to cassandra

    R

    rdd

    returns

    rdd, each partitions will have only one long value: number of rows in the partition

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

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13. def finalize(): Unit

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

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18. final def notify(): Unit

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19. final def notifyAll(): Unit

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

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22. final def wait(): Unit

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

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

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