org.apache.spark.groupon.metrics

SparkMetric

sealed trait SparkMetric extends Metric with Serializable

SparkMetric instances implement APIs that look like their Codahale counterparts, but do not store any state. Instead, they just send the data points to the driver, where they are aggregated and published.

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  1. abstract val metricsEndpoint: RpcEndpointRef

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    protected

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

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

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  3. final def ##(): Int

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  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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  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. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def sendMetric(message: MetricMessage): Unit

    Send a metric data point to the driver.

    Send a metric data point to the driver. Does not wait for a response from the driver endpoint.

    message

    MetricMessage to send

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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

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Inherited from Serializable

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Inherited from Metric

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