c

ch.cern.sparkmeasure

TaskMetrics

case class TaskMetrics(sparkSession: SparkSession) extends Product with Serializable

Task Metrics: collects metrics data at Task granularity and provides aggregation and reporting functions for the end-user

Example of how to use task metrics: val taskMetrics = ch.cern.sparkmeasure.TaskMetrics(spark) taskMetrics.runAndMeasure(spark.sql("select count(*) from range(1000) cross join range(1000) cross join range(1000)").show)

The tool is based on using Spark Listeners as data source and collecting metrics in a ListBuffer of a case class that encapsulates Spark task metrics.

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  1. TaskMetrics
  2. Serializable
  3. Product
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Instance Constructors

  1. new TaskMetrics(sparkSession: SparkSession)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def aggregateTaskMetrics(nameTempView: String = "PerfTaskMetrics"): DataFrame
  5. def aggregateTaskMetrics(): LinkedHashMap[String, Long]
  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def begin(): Long
  8. var beginSnapshot: Long
  9. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  10. def createTaskMetricsDF(nameTempView: String = "PerfTaskMetrics"): DataFrame
  11. def end(): Long
  12. var endSnapshot: Long
  13. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  15. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. val listenerTask: TaskInfoRecorderListener
  18. lazy val logger: Logger
  19. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  22. def printReport(): Unit
  23. def productElementNames: Iterator[String]
    Definition Classes
    Product
  24. def registerListener(spark: SparkSession, listener: TaskInfoRecorderListener): Unit
  25. def removeListener(): Unit
  26. def report(): String
  27. def reportUsingDataFrame(): String
  28. def runAndMeasure[T](f: => T): T
  29. def saveData(df: DataFrame, fileName: String, fileFormat: String = "json", saveMode: String = "default"): Unit
  30. def sendReportPrometheus(serverIPnPort: String, metricsJob: String, labelName: String = sparkSession.sparkContext.appName, labelValue: String = sparkSession.sparkContext.applicationId): 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

  31. val sparkSession: SparkSession
  32. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  33. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  34. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  35. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()

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Inherited from AnyRef

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