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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.  def aggregateStageMetrics(nameTempView: String = "PerfStageMetrics"): DataFrame
5.  final def asInstanceOf[T0]: T0

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6.  def begin(): Long
7.  var beginSnapshot: Long

   Variables used to store the start and end time of the period of interest for the metrics report

8.  def clone(): AnyRef

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9.  def createAccumulablesDF(nameTempView: String = "AccumulablesStageMetrics"): DataFrame
10.  def createStageMetricsDF(nameTempView: String = "PerfStageMetrics"): DataFrame

    Move data recorded from the custom listener into a DataFrame and register it as a view for easier processing

11.  def end(): Long
12.  var endSnapshot: Long
13.  final def eq(arg0: AnyRef): Boolean

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14.  def finalize(): Unit

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15.  final def getClass(): Class[_]

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16.  final def isInstanceOf[T0]: Boolean

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17.  val listenerStage: StageInfoRecorderListener

    This inserts the custom Spark Listener into the live Spark Context

18.  lazy val logger: Logger
19.  final def ne(arg0: AnyRef): Boolean

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20.  final def notify(): Unit

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21.  final def notifyAll(): Unit

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22.  def printAccumulables(): Unit
23.  def printReport(): Unit
24.  def report(): String

    Custom aggregations and post-processing of metrics data

25.  def reportAccumulables(): String

    for internal metrics sum all the values, for the accumulables compute max value for each accId and name

26.  def runAndMeasure[T](f: ⇒ T): T

    Shortcut to run and measure the metrics for Spark execution, built after spark.time()

27.  def saveData(df: DataFrame, fileName: String, fileFormat: String = "json"): Unit

    Helper method to save data, we expect to have small amounts of data so collapsing to 1 partition seems OK

28.  def sendReportPrometheus(serverIPnPort: String, metricsJob: String, labelName: String = sparkSession.sparkContext.appName, labelValue: String = ...): Unit

    Send the metrics to Prometheus.

    Send the metrics to Prometheus. serverIPnPort: String with prometheus pushgateway address, format is hostIP:Port, metricsJob: job name, labelName: metrics label name, default is sparkSession.sparkContext.appName, labelValue: metrics label value, default is sparkSession.sparkContext.applicationId

29.  val sparkSession: SparkSession
30.  final def synchronized[T0](arg0: ⇒ T0): T0

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31.  final def wait(): Unit

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

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33.  final def wait(arg0: Long): Unit

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