case class SparkReadWriteTask[I <: Product, O <: Product](name: String, inputLocation: List[String], inputType: IOType, inputFilter: String = "1 = 1", outputLocation: String, outputType: IOType, outputSaveMode: SaveMode = SaveMode.Append, outputPartitionCol: Seq[String] = Seq.empty[String], outputFilename: Option[String] = None, outputCompression: String = "none", outputRepartitioning: Boolean = false, outputRepartitioningNum: Int = 1, transformFunction: Option[(SparkSession, Dataset[I]) => Dataset[O]] = None)(implicit evidence$1: scala.reflect.api.JavaUniverse.TypeTag[I], evidence$2: scala.reflect.api.JavaUniverse.TypeTag[O]) extends EtlTask[SparkEnv, Unit] with Product with Serializable
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Instance Constructors
- new SparkReadWriteTask(name: String, inputLocation: List[String], inputType: IOType, inputFilter: String = "1 = 1", outputLocation: String, outputType: IOType, outputSaveMode: SaveMode = SaveMode.Append, outputPartitionCol: Seq[String] = Seq.empty[String], outputFilename: Option[String] = None, outputCompression: String = "none", outputRepartitioning: Boolean = false, outputRepartitioningNum: Int = 1, transformFunction: Option[(SparkSession, Dataset[I]) => Dataset[O]] = None)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[I], arg1: scala.reflect.api.JavaUniverse.TypeTag[O])
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- final def !=(arg0: Any): Boolean
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- final def ##: Int
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- final def execute: RIO[SparkEnv with Audit, Unit]
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- def getTaskProperties: Map[String, String]
- Definition Classes
- SparkReadWriteTask → EtlTask
- val inputFilter: String
- val inputLocation: List[String]
- val inputType: IOType
- final def isInstanceOf[T0]: Boolean
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- lazy val logger: Logger
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- ApplicationLogger
- val name: String
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- SparkReadWriteTask → EtlTask
- final def ne(arg0: AnyRef): Boolean
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- val outputCompression: String
- val outputFilename: Option[String]
- val outputLocation: String
- val outputPartitionCol: Seq[String]
- val outputRepartitioning: Boolean
- val outputRepartitioningNum: Int
- val outputSaveMode: SaveMode
- val outputType: IOType
- def process: RIO[SparkEnv, Unit]
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- Definition Classes
- SparkReadWriteTask → EtlTask
- def productElementNames: Iterator[String]
- Definition Classes
- Product
- def showCorruptedData(numRows: Int = 100): RIO[SparkEnv, Unit]
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
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- val taskType: String
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- EtlTask
- val transformFunction: Option[(SparkSession, Dataset[I]) => Dataset[O]]
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