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ai.chronon.flink.window

KeySelector

object KeySelector

A KeySelector is what Flink uses to determine how to partition a DataStream. In a distributed environment, the KeySelector guarantees that events with the same key always end up in the same machine. If invoked multiple times on the same object, the returned key must be the same.

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  9. final def getClass(): Class[_]
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  10. def getKeySelectionFunction(groupBy: GroupBy): (Map[String, Any]) ⇒ List[Any]

    Given a GroupBy, create a function to key the output of a SparkExprEval operator by the entities defined in the GroupBy.

    Given a GroupBy, create a function to key the output of a SparkExprEval operator by the entities defined in the GroupBy. The function returns a List of size equal to the number of keys in the GroupBy.

    For example, if a GroupBy is defined as "GroupBy(..., keys=["color", "size"], ...), the function will key the Flink SparkExprEval DataStream by color and size, so all events with the same (color, size) are sent to the same operator.

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  16. final def synchronized[T0](arg0: ⇒ T0): T0
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  20. final def wait(arg0: Long): Unit
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