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io.smartdatalake.workflow.action.snowflake.customlogic

CustomSnowparkDfsTransformer

trait CustomSnowparkDfsTransformer extends Serializable

Interface to define a custom Snowpark-DataFrame transformation (n:m) Same trait as CustomSnowparkDfTransformer, but multiple input and outputs supported.

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Abstract Value Members

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

    Function to define the transformation between several input and output DataFrames (n:m)

    Function to define the transformation between several input and output DataFrames (n:m)

    session

    the Snowpark Session

    options

    Options specified in the configuration for this transformation

    dfs

    DataFrames to be transformed

    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. Use cases: - implement aggregations where multiple input partitions are combined into one output partition - add additional fixed partition values to write from different actions into the same target tables but separated by different partition values 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

    a map of input partition values to output partition values

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