Packages

c

org.apache.flinkx.api

JoinedStreams

class JoinedStreams[T1, T2] extends AnyRef

JoinedStreams represents two DataStreams that have been joined. A streaming join operation is evaluated over elements in a window.

To finalize the join operation you also need to specify a KeySelector for both the first and second input and a WindowAssigner

Note: Right now, the groups are being built in memory so you need to ensure that they don't get too big. Otherwise the JVM might crash.

Example:

val one: DataStream[(String, Int)]  = ...
val two: DataStream[(String, Int)] = ...

val result = one.join(two)
    .where {t => ... }
    .equal {t => ... }
    .window(TumblingEventTimeWindows.of(Time.of(5, TimeUnit.SECONDS)))
    .apply(new MyJoinFunction())
}
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Instance Constructors

  1. new JoinedStreams(input1: DataStream[T1], input2: DataStream[T2])

Type Members

  1. class Where[KEY] extends AnyRef

    A join operation that has a KeySelector defined for the first input.

    A join operation that has a KeySelector defined for the first input.

    You need to specify a KeySelector for the second input using equalTo() before you can proceed with specifying a WindowAssigner using EqualTo.window().

    KEY

    Type of the key. This must be the same for both inputs

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  19. def where[KEY](keySelector: (T1) ⇒ KEY)(implicit arg0: TypeInformation[KEY]): Where[KEY]

    Specifies a KeySelector for elements from the first input.

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  1. def finalize(): Unit
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