Trait/Object

com.datastax.spark.connector.mapper

ColumnMapper

Related Docs: object ColumnMapper | package mapper

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trait ColumnMapper[T] extends AnyRef

Produces ColumnMapForReading or ColumnMapForWriting objects that map class T properties to columns in a given Cassandra table.

You can associate a custom ColumnMapper object with any of your classes by providing an implicit ColumnMapper in the companion object of the mapped class:

CREATE TABLE kv(key int primary key, value text);
case class KeyValue(k: Int, v: String)

object KeyValue {
  implicit val columnMapper =
    new DefaultColumnMapper[KeyValue](Map("k" -> "key", "v" -> "value"))
}
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Abstract Value Members

  1. abstract def columnMapForReading(struct: StructDef, selectedColumns: IndexedSeq[ColumnRef]): ColumnMapForReading

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    Provides a mapping between given table or UDT and properties of type T, useful for creating objects of type T.

    Provides a mapping between given table or UDT and properties of type T, useful for creating objects of type T. Throws IllegalArgumentException if selectedColumns does not provide some columns needed to instantiate object of type T

  2. abstract def columnMapForWriting(struct: StructDef, selectedColumns: IndexedSeq[ColumnRef]): ColumnMapForWriting

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    Provides a mapping between given table or UDT and properties of type T, useful for reading property values of type T and writing them to Cassandra.

    Provides a mapping between given table or UDT and properties of type T, useful for reading property values of type T and writing them to Cassandra. Throws IllegalArgumentException if selectedColumns contains some columns that don't have matching getters.

  3. abstract def newTable(keyspaceName: String, tableName: String, protocolVersion: ProtocolVersion = ProtocolVersion.NEWEST_SUPPORTED): TableDef

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    Provides a definition of the table that class T could be saved to.

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

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