KinesisProducer

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. def addUserRecord(event: ProducerEvent)(implicit ec: ExecutionContextExecutor): Future[UserRecordResult]

   

   Adds a message to the next batch to be sent to the configured stream.

   Adds a message to the next batch to be sent to the configured stream.

   returns

   On success: Future{UserRecordResult} On failure: Future.failed(...): Any Throwable related to put.

   See also

   UserRecordFailedException

   KinesisProducerConfiguration#setRecordTtl(long)

   UserRecordResult

   Callee com.amazonaws.services.kinesis.producer.KinesisProducer.addUserRecord

5. final def asInstanceOf[T0]: T0

   

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6. def clone(): AnyRef

   

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   protected[java.lang]

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7. def destroyed(): Boolean

   
   returns

   true if the KinesisProducer has been stopped & destroyed.

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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    protected[java.lang]

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    @throws( classOf[java.lang.Throwable] )

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

    

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12. def hashCode(): Int

    

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13. final def isInstanceOf[T0]: Boolean

    

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14. lazy val logger: Logger

    

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    protected

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

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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18. def outstandingRecordsCount(): Int

    

    Get the number of unfinished records currently being processed.

    Get the number of unfinished records currently being processed. The records could either be waiting to be sent to the child process, or have reached the child process and are being worked on.

    This is equal to the number of futures returned from addUserRecord that have not finished.

    This is useful for applying backpressure and throttling the number of concurrent Futures.

    returns

    The number of unfinished records currently being processed.

19. def stop(): Unit

    

    Firstly, blocks whilst all all records are complete (either succeeding or failing).

    Firstly, blocks whilst all all records are complete (either succeeding or failing).

    The includes whilst any retries are performed. Depending on your configuration of record TTL and request timeout, this can potentially take a long time if the library is having trouble delivering records to the backend, for example due to network problems.

    Finally the KinesisProducer is destroyed, preventing further use.

    Exceptions thrown

    com.amazonaws.services.kinesis.producer.DaemonException if the child process is dead //TODO - handle this better?

    See also

    AWSKinesisProducer

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

    

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21. def toString(): String

    

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22. val underlying: amazonaws.services.kinesis.producer.KinesisProducer

    

23. final def wait(): Unit

    

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

    

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

    

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