Class

com.github.jparkie.spark.cassandra.sql

SparkCassDataFrameFunctions

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class SparkCassDataFrameFunctions extends Serializable

Extension of Dataset[T] with bulkLoadToCass() function.

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Instance Constructors

  1. new SparkCassDataFrameFunctions(dataFrame: Dataset[Row])

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    dataFrame

    The Dataset[T] to lift into extension.

Value Members

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

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def bulkLoadToCass(keyspaceName: String, tableName: String, columns: ColumnSelector = AllColumns, sparkCassWriteConf: SparkCassWriteConf = ..., sparkCassServerConf: SparkCassServerConf = ...)(implicit connector: CassandraConnector = ..., rwf: RowWriterFactory[Row] = SqlRowWriter.Factory): Unit

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    Loads the data from Dataset[T] to a Cassandra table.

    Loads the data from Dataset[T] to a Cassandra table. Uses the specified column names.

    Writes SSTables to a temporary directory then loads the SSTables directly to Cassandra.

    keyspaceName

    The name of the Keyspace to use.

    tableName

    The name of the Table to use.

    columns

    The list of column names to save data to. Uses only the unique column names, and you must select all primary key columns. All other fields are discarded. Non-selected property/column names are left unchanged.

    sparkCassWriteConf

    Configurations to coordinate and to limit writes.

    sparkCassServerConf

    Configurations to connect to Cassandra Transport Layer.

  6. def clone(): AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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