CassandraTableScanRDD

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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. 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)]

   

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

   

6. final def asInstanceOf[T0]: T0

   

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7. def clone(): AnyRef

   

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8. 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

   returns

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

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

   

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10. def equals(arg0: Any): Boolean

    

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11. def finalize(): Unit

    

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

    

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13. def hashCode(): Int

    

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14. final def isInstanceOf[T0]: Boolean

    

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

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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

    

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19. def toString(): String

    

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20. final def wait(): Unit

    

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

    

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

    

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