CassandraRDDPartitioner

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

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3. final def ##(): Int

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6. val MaxParallelism: Int

   Affects how many concurrent threads are used to fetch split information from cassandra nodes, in getPartitions.

   Affects how many concurrent threads are used to fetch split information from cassandra nodes, in getPartitions. Does not affect how many Spark threads fetch data from Cassandra.

7. val TokenRangeSampleSize: Int

   How many token ranges to sample in order to estimate average number of rows per token

8. def apply(conn: CassandraConnector, tableDef: TableDef, splitCount: Option[Int], splitSize: Int): CassandraRDDPartitioner[V, T]

   Creates a CassandraRDDPartitioner for the given cluster and table.

   Creates a CassandraRDDPartitioner for the given cluster and table. Unlike the class constructor, this method does not take the generic V and T parameters, and therefore you don't need to specify the ones proper for the partitioner used in the Cassandra cluster.

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

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15. def getTokenFactory(conn: CassandraConnector): TokenFactory[V, T]

16. def hashCode(): Int

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