class DatasetMapper[T] extends Serializable
A generic class for mapping and transforming datasets from text-based input to structured data of type T
using Apache Spark.
This class enables parsing and conversion of raw textual data into Spark Datasets, applying a
user-defined mapping function with error handling for missing or malformed data.
- T
the type of the elements in the resulting Spark
Dataset.
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Instance Constructors
- new DatasetMapper(f: (String) => Try[T])(missing: T)(implicit sparkSession: SparkSession, encoder: Encoder[T])
- f
a function that attempts to parse a
Stringinto an instance of typeT. It returns aTry[T], allowing for robust error handling during parsing.- missing
a fallback value of type
Tto use if parsing fails for a given input row.- sparkSession
an implicit
SparkSession, required for Spark operations.- encoder
an implicit
Encoder[T], which enables serialization of the resultingDataset[T].
Value Members
- final def !=(arg0: Any): Boolean
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- final def ##: Int
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- def as(path: String): Dataset[T]
- final def asInstanceOf[T0]: T0
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- final def synchronized[T0](arg0: => T0): T0
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Deprecated Value Members
- def finalize(): Unit
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- @throws(classOf[java.lang.Throwable]) @Deprecated
- Deprecated
(Since version 9)