SQLMetrics

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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. def createMetric(sc: SparkContext, name: String): SQLMetric

   

7. def createSizeMetric(sc: SparkContext, name: String): SQLMetric

   

   Create a metric to report the size information (including total, min, med, max) like data size, spill size, etc.

8. def createTimingMetric(sc: SparkContext, name: String): SQLMetric

   

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

   

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10. def equals(arg0: Any): Boolean

    

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11. def finalize(): Unit

    

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

    

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14. final def isInstanceOf[T0]: Boolean

    

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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 postDriverMetricUpdates(sc: SparkContext, executionId: String, metrics: Seq[SQLMetric]): Unit

    

    Updates metrics based on the driver side value.

    Updates metrics based on the driver side value. This is useful for certain metrics that are only updated on the driver, e.g. subquery execution time, or number of files.

19. def stringValue(metricsType: String, values: Seq[Long]): String

    

    A function that defines how we aggregate the final accumulator results among all tasks, and represent it in string for a SQL physical operator.

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

    

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21. def toString(): String

    

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22. final def wait(): Unit

    

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

    

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

    

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