InputMetricsUpdater

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. val DefaultInterval: FiniteDuration

   

5. def apply(taskContext: TaskContext, readConf: ReadConf, interval: FiniteDuration = DefaultInterval): InputMetricsUpdater

   

   Creates the appropriate instance of InputMetricsUpdater.

   Creates the appropriate instance of InputMetricsUpdater.

   If ReadConf.taskMetricsEnabled is true, the created instance will be updating task metrics so that Spark will report them in the UI. Remember that this is supported for Spark 1.2+.

   If CassandraConnectorSource is registered in Spark metrics system, the created instance will be updating the included Codahale metrics. In order to register CassandraConnectorSource you need to add it to the metrics configuration file.

   taskContext

   task context of a task for which this metrics updater is created

   readConf

   read configuration

   interval

   allows to update Codahale metrics every the given interval in order to decrease overhead

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10. def finalize(): Unit

    

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15. final def notify(): Unit

    

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19. final def wait(): Unit

    

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

    

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

    

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