trait CustomDfCreator extends Serializable

Interface to define custom logic for DataFrame creation

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CustomDfCreatorWrapper
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Abstract Value Members

  1. abstract def exec(session: SparkSession, config: Map[String, String]): DataFrame

    This method creates a DataFrame based on custom code.

    This method creates a DataFrame based on custom code.

    session

    the Spark session

    config

    the input config of the associated action

    returns

    the custom DataFrame

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  14. def schema(session: SparkSession, config: Map[String, String]): Option[StructType]

    Adds the possibility to return a custom schema during init If no schema returned, init needs to call exec to get the schema, leading exec to be called twice

    Adds the possibility to return a custom schema during init If no schema returned, init needs to call exec to get the schema, leading exec to be called twice

    session

    the Spark Session

    config

    the input config of the associated action

    returns

    the schema of the custom DataFrame

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  1. def finalize(): Unit
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