io.smartdatalake.workflow.action.customlogic
CustomDfsTransformerConfig
Companion object CustomDfsTransformerConfig
case class CustomDfsTransformerConfig(className: Option[String] = None, scalaFile: Option[String] = None, scalaCode: Option[String] = None, sqlCode: Option[Map[DataObjectId, String]] = None, options: Option[Map[String, String]] = None, runtimeOptions: Option[Map[String, String]] = None) extends Product with Serializable
Configuration of a custom Spark-DataFrame transformation between many inputs and many outputs (n:m). Define a transform function which receives a map of input DataObjectIds with DataFrames and a map of options and has to return a map of output DataObjectIds with DataFrames, see also trait CustomDfsTransformer.
- className
Optional class name implementing trait CustomDfsTransformer
- scalaFile
Optional file where scala code for transformation is loaded from. The scala code in the file needs to be a function of type fnTransformType.
- scalaCode
Optional scala code for transformation. The scala code needs to be a function of type fnTransformType.
- sqlCode
Optional map of DataObjectId and corresponding SQL Code. Use tokens %{<key>} to replace with runtimeOptions in SQL code. Example: "select * from test where run = %{runId}"
- options
Options to pass to the transformation
- runtimeOptions
optional tuples of [key, spark sql expression] to be added as additional options when executing transformation. The spark sql expressions are evaluated against an instance of DefaultExpressionData.
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CustomDfsTransformerConfig(className: Option[String] = None, scalaFile: Option[String] = None, scalaCode: Option[String] = None, sqlCode: Option[Map[DataObjectId, String]] = None, options: Option[Map[String, String]] = None, runtimeOptions: Option[Map[String, String]] = None)
- className
Optional class name implementing trait CustomDfsTransformer
- scalaFile
Optional file where scala code for transformation is loaded from. The scala code in the file needs to be a function of type fnTransformType.
- scalaCode
Optional scala code for transformation. The scala code needs to be a function of type fnTransformType.
- sqlCode
Optional map of DataObjectId and corresponding SQL Code. Use tokens %{<key>} to replace with runtimeOptions in SQL code. Example: "select * from test where run = %{runId}"
- options
Options to pass to the transformation
- runtimeOptions
optional tuples of [key, spark sql expression] to be added as additional options when executing transformation. The spark sql expressions are evaluated against an instance of DefaultExpressionData.
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- val options: Option[Map[String, String]]
- val runtimeOptions: Option[Map[String, String]]
- val scalaCode: Option[String]
- val scalaFile: Option[String]
- val sqlCode: Option[Map[DataObjectId, String]]
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