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object SQLMetrics

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  6. def createAverageMetric(sc: SparkContext, name: String): SQLMetric

    Create a metric to report the average information (including min, med, max) like avg hash probe.

    Create a metric to report the average information (including min, med, max) like avg hash probe. As average metrics are double values, this kind of metrics should be only set with SQLMetric.set method instead of other methods like SQLMetric.add. The initial values (zeros) of this metrics will be excluded after.

  7. def createMetric(sc: SparkContext, name: String): SQLMetric
  8. def createNanoTimingMetric(sc: SparkContext, name: String): SQLMetric
  9. 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.

  10. def createTimingMetric(sc: SparkContext, name: String): SQLMetric
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  16. final def isInstanceOf[T0]: Boolean
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  17. def metricNeedsMax(metricsType: String): Boolean
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  20. final def notifyAll(): Unit
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  21. 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.

  22. def stringValue(metricsType: String, values: Array[Long], maxMetrics: Array[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.

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