Packages

t

io.smartdatalake.workflow.action.snowflake.customlogic

CustomSnowparkDfTransformer

trait CustomSnowparkDfTransformer extends Serializable

Interface to define a custom Snowpark-DataFrame transformation (1:1)

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  1. abstract def transform(session: Session, options: Map[String, String], df: DataFrame, dataObjectId: String): DataFrame

    Function to be implemented to define the transformation between an input and output DataFrame (1:1)

    Function to be implemented to define the transformation between an input and output DataFrame (1:1)

    session

    the Snowpark session

    options

    Options specified in the configuration for this transformation

    df

    DataFrames to be transformed

    dataObjectId

    Id of DataObject of SubFeed

    returns

    Transformed DataFrame

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  16. def transformPartitionValues(options: Map[String, String], partitionValues: Seq[PartitionValues]): Option[Map[PartitionValues, PartitionValues]]

    Optional function to define the transformation of input to output partition values.

    Optional function to define the transformation of input to output partition values. For example this enables to implement aggregations where multiple input partitions are combined into one output partition. Note that the default value is input = output partition values, which should be correct for most use cases.

    options

    Options specified in the configuration for this transformation

    partitionValues

    partition values to be transformed

    returns

    Map of input to output partition values. This allows to map partition values forward and backward, which is needed in execution modes. Return None if mapping is 1:1.

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