FinatraKeyValueStream

Value Members

1. final def !=(arg0: Any): Boolean

   

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. final def eq(arg0: AnyRef): Boolean

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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9. final def getClass(): Class[_]

   

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10. def hashCode(): Int

    

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11. final def isInstanceOf[T0]: Boolean

    

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12. final def ne(arg0: AnyRef): Boolean

    

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13. final def notify(): Unit

    

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14. final def notifyAll(): Unit

    

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15. final def synchronized[T0](arg0: ⇒ T0): T0

    

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16. def toCluster(cluster: String, topic: KafkaTopic, clientId: String, statsReceiver: StatsReceiver, kafkaProducerConfig: FinagleKafkaProducerConfig[K, V] = defaultFinagleKafkaProducerConfig, commitInterval: Duration = 1.minute, flushTimeout: Duration = Duration.Top, maxPendingEvents: Int = 1000)(implicit produced: Produced[K, V]): Unit

    

    Publishes events to a kafka topic on the specified cluster rather than the primary cluster.

    Publishes events to a kafka topic on the specified cluster rather than the primary cluster. This call is needed because KafkaStreams does not natively provide the ability to publish to a cluster different from the cluster from whith it is consuming. Can only be used in at_least_once processing guarantee. Will not work with exactly_once.

    cluster

    Cluster to which events are published (wily path or host:port)

    topic

    Topic to which events are published

    clientId

    ClientId used in the FinagleKafkaProducer

    statsReceiver

    StatsReceiver used both in the FinagleKafkaProducer and AsyncProcessor

    kafkaProducerConfig

    Configuration used to configure the FinagleKafkaProducer

    commitInterval

    Interval at which the AsyncProcessor performs commits

    flushTimeout

    Timeout for which the AsyncProcessor waits for publishes to complete

    maxPendingEvents

    Maximum number of events pending publishing

    produced

    An [org.apache.kafka.streams.scala.Produced] to specify the serializers for the key & value

17. def toString(): String

    

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18. final def wait(): Unit

    

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19. final def wait(arg0: Long, arg1: Int): Unit

    

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20. final def wait(arg0: Long): Unit

    

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