case class Source(id: String, df: DataFrame, keyFields: Seq[String] = Seq.empty, parents: Seq[String] = Seq.empty, checkpoint: Option[Checkpoint] = None) extends Product with Serializable
Data Quality Source definition
- id
Source ID
- df
Spark dataframe with source data
- keyFields
Key fields (columns) of this source: uniquely define data row
- parents
Sequence of parent sources IDs from which this source is build (applies to virtual sources)
- checkpoint
Initial source checkpoint. Applicable only for streaming sources.
- Note
Source can hold both static and streaming dataframes and, therefore, both batch source readers and stream source readers return same source definition.
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Instance Constructors
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new
Source(id: String, df: DataFrame, keyFields: Seq[String] = Seq.empty, parents: Seq[String] = Seq.empty, checkpoint: Option[Checkpoint] = None)
- id
Source ID
- df
Spark dataframe with source data
- keyFields
Key fields (columns) of this source: uniquely define data row
- parents
Sequence of parent sources IDs from which this source is build (applies to virtual sources)
- checkpoint
Initial source checkpoint. Applicable only for streaming sources.
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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- val checkpoint: Option[Checkpoint]
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def
clone(): AnyRef
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- val df: DataFrame
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final
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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- val id: String
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final
def
isInstanceOf[T0]: Boolean
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- val isStreaming: Boolean
- val keyFields: Seq[String]
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final
def
ne(arg0: AnyRef): Boolean
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final
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notify(): Unit
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final
def
notifyAll(): Unit
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- val parents: Seq[String]
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def
synchronized[T0](arg0: ⇒ T0): T0
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final
def
wait(): Unit
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def
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final
def
wait(arg0: Long): Unit
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