Class

com.databricks.spark.redshift

RedshiftContext

Related Doc: package redshift

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implicit class RedshiftContext extends AnyRef

Wrapper of SQLContext that provide redshiftFile method.

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Instance Constructors

  1. new RedshiftContext(sqlContext: SQLContext)

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

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  2. final def ##(): Int

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  8. def finalize(): Unit

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def redshiftFile(path: String, columns: Seq[String]): DataFrame

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    Read a file unloaded from Redshift into a DataFrame.

    Read a file unloaded from Redshift into a DataFrame.

    path

    input path

    returns

    a DataFrame with all string columns

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

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  17. def toString(): String

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

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Deprecated Value Members

  1. def redshiftFile(path: String, schema: String): DataFrame

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    Reads a table unload from Redshift with its schema in format "name0 type0 name1 type1 ...".

    Reads a table unload from Redshift with its schema in format "name0 type0 name1 type1 ...".

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    @deprecated
    Deprecated

    (Since version 0.5.0) Use data sources API or perform string -> data type casts yourself

  2. def redshiftTable(parameters: Map[String, String]): DataFrame

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    Read a Redshift table into a DataFrame, using S3 for data transfer and JDBC to control Redshift and resolve the schema

    Read a Redshift table into a DataFrame, using S3 for data transfer and JDBC to control Redshift and resolve the schema

    Annotations
    @deprecated
    Deprecated

    (Since version 0.5.0) Use sqlContext.read()

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