ProphecyEventSendingListener

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

val actor: ActorRef

final def asInstanceOf[T0]: T0

def beginInteractiveMetricsCollection(start: JobGroupStatusTrackRequest, processes: Map[String, WorkflowProcessNodeInfo]): Unit

def beginJobMetricsCollection(jobMetricsMetadata: JobMetricsMetadata): Unit

def clone(): AnyRef

def endInteractiveMetricsCollection(stop: JobGroupStatusTrackStopRequest): Unit

def endJobMetricsCollection(status: PipelineStatus): Unit

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

val metricsCollector: SparkExecutionMetricsCollector

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def onApplicationEnd(applicationEnd: SparkListenerApplicationEnd): Unit

def onApplicationStart(applicationStart: SparkListenerApplicationStart): Unit

Messages received from Spark

def onBlockManagerAdded(BlockManagerAdded: SparkListenerBlockManagerAdded): Unit

def onBlockManagerRemoved(blockManagerRemoved: SparkListenerBlockManagerRemoved): Unit

def onBlockUpdated(blockUpdated: SparkListenerBlockUpdated): Unit

def onEnvironmentUpdate(environmentUpdate: SparkListenerEnvironmentUpdate): Unit

def onExecutorAdded(executorAdded: SparkListenerExecutorAdded): Unit

def onExecutorBlacklisted(executorBlacklisted: SparkListenerExecutorBlacklisted): Unit

def onExecutorMetricsUpdate(executorMetricsUpdate: SparkListenerExecutorMetricsUpdate): Unit

def onExecutorRemoved(executorRemoved: SparkListenerExecutorRemoved): Unit

def onExecutorUnblacklisted(executorUnblacklisted: SparkListenerExecutorUnblacklisted): Unit

def onJobEnd(jobEnd: SparkListenerJobEnd): Unit

def onJobStart(jobStart: SparkListenerJobStart): Unit

def onNodeBlacklisted(nodeBlacklisted: SparkListenerNodeBlacklisted): Unit

def onNodeUnblacklisted(nodeUnblacklisted: SparkListenerNodeUnblacklisted): Unit

def onOtherEvent(event: SparkListenerEvent): Unit

def onSpeculativeTaskSubmitted(speculativeTask: SparkListenerSpeculativeTaskSubmitted): Unit

def onStageCompleted(stageCompleted: SparkListenerStageCompleted): Unit

def onStageSubmitted(stageSubmitted: SparkListenerStageSubmitted): Unit

def onTaskEnd(taskEnd: SparkListenerTaskEnd): Unit

def onTaskGettingResult(taskGettingResult: SparkListenerTaskGettingResult): Unit

def onTaskStart(taskStart: SparkListenerTaskStart): Unit

def onUnpersistRDD(unpersistRDD: SparkListenerUnpersistRDD): Unit

def receiveStartTracking(start: JobGroupStatusTrackRequest, processes: Map[String, WorkflowProcessNodeInfo]): Unit

Messages to receive from execution

val scheduled: Boolean

def send(json: String): Unit

def send[T <: SparkListenerEvent](event: T): Unit

def sendJobMetricsMetadata(jobMetricsMetadata: JobMetricsMetadata): Unit

def sendJobPipelineEndEvent(status: PipelineStatus): Unit

val session: String

val stages: MMap[Int, StageStatus]

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

def toString(): String

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

final def wait(arg0: Long): Unit

final def wait(): Unit

val workflowProcessInfo: MMap[WorkflowProcessNodeInfo, String]

def finalize(): Unit