Class

org.apache.spark.sql

JdbcWriter

Related Doc: package sql

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class JdbcWriter extends AnyRef

Implicit class to easily invoke DataFrameWriter operations on SnappyData's JDBC provider.

Instead of: spark.write.jdbc(url, table, properties) one can simply do spark.write.snappy(table). This will also register dialects for proper type conversions, use proper JDBC driver argument to avoid ClassNotFound errors.

In future this will also provide spark.write.snappyPut(table) to perform a PUT INTO.

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Instance Constructors

  1. new JdbcWriter(writer: DataFrameWriter[Row])

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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. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def snappy(table: String, connectionProperties: Map[String, String], mode: SaveMode): Unit

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  16. def snappy(table: String, connectionProperties: Map[String, String]): Unit

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  17. def snappy(table: String): 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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