Class

com.datastax.spark.connector

DatasetFunctions

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class DatasetFunctions[K] extends Serializable

Provides Cassandra-specific methods on org.apache.spark.sql.DataFrame

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Instance Constructors

  1. new DatasetFunctions(dataset: Dataset[K])(implicit arg0: Encoder[K])

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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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  6. def createCassandraTable(keyspaceName: String, tableName: String, partitionKeyColumns: Option[Seq[String]] = None, clusteringKeyColumns: Option[Seq[String]] = None)(implicit connector: CassandraConnector = CassandraConnector(sparkContext)): Unit

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    Creates a C* table based on the Dataset Struct provided.

    Creates a C* table based on the Dataset Struct provided. Optionally takes in a list of partition columns or clustering columns names. When absent the first column will be used as the partition key and there will be no clustering keys.

  7. def directJoin(directJoinSetting: DirectJoinSetting = AlwaysOn): Dataset[K]

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. val sparkContext: SparkContext

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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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