c
it.agilelab.bigdata.wasp.consumers.spark.strategies.gdpr
GdprStrategy
Companion object GdprStrategy
class GdprStrategy extends Strategy with HasPostMaterializationHook with Logging
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Instance Constructors
- new GdprStrategy(dataStores: List[DataStoreConf])
Value Members
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final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
- Definition Classes
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val
ALTER_DATE_DAY: String
- Definition Classes
- Strategy
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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val
configuration: Config
- Definition Classes
- Strategy
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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val
logger: WaspLogger
- Attributes
- protected
- Definition Classes
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val
mlModelsBroadcast: MlModelsBroadcastDB
- Definition Classes
- Strategy
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
postMaterialization(maybeDataframe: Option[DataFrame], maybeError: Option[Throwable]): Try[Unit]
- maybeDataframe
(optional) output dataframe of the strategy (it is None only if the strategy has no writer)
- maybeError
Some(error) if an error happened during materialization; None otherwise
- returns
the wanted outcome of the strategy. This means that if the maybeError is not None and the hook does not have a "recovery" logic, it should always return a Failure wrapping the input error.
- Definition Classes
- GdprStrategy → HasPostMaterializationHook
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val
sparkContext: Option[SparkContext]
- Definition Classes
- Strategy
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
- Definition Classes
- Strategy → AnyRef → Any
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def
transform(dataFrames: Map[ReaderKey, DataFrame]): DataFrame
- Definition Classes
- GdprStrategy → Strategy
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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