queue

Type Members

1. trait AutoScaling extends Actor with ActorLogging with MessageScheduler

   

2. case class AutoScalingSettings(chanceOfScalingDownWhenFull: Double = 0.1, actionFrequency: FiniteDuration = 5.seconds, downsizeAfterUnderUtilization: FiniteDuration = 72.hours, numOfAdjacentSizesToConsiderDuringOptimization: Int = 12, exploreStepSize: Double = 0.1, downsizeRatio: Double = 0.8, explorationRatio: Double = 0.4, weightOfLatestMetric: Double = 0.5, statusCollectionTimeout: FiniteDuration = 30.seconds) extends Product with Serializable

   
   chanceOfScalingDownWhenFull

   chance of scaling down when the worker pool is fully utlized

   actionFrequency

   duration between each scaling attempt

   downsizeAfterUnderUtilization

   start to downsize after underutilized for period, should be long enough to include at least one traffic cycle.

   numOfAdjacentSizesToConsiderDuringOptimization

   during optimization, it only looks at this number of adjacent pool sizes (adjacent to current pool size), to figure out the optimal pool size to move to

   exploreStepSize

   during exploration, it takes as big a step as this size. It's a ratio to the current pool size, so if the current size is 10 and the exploreStepSize is 0.2, the exploration will be within a range between 8 and 12

   downsizeRatio

   during downsizing, it will downsize to the largest number of concurrently occupied workers it has seen plus a buffer zone, this downsizeRatio determines the buffer size.

   explorationRatio

   chance of doing a exploration vs an optimization

   statusCollectionTimeout

   maximum time allowed when autoscaler collects status from queue, queueProcessor and all workers

3. case class BackPressureSettings(maxBufferSize: Int = 1000, thresholdForExpectedWaitTime: FiniteDuration = 1.minute, maxHistoryLength: FiniteDuration = 10.seconds) extends Product with Serializable

   

4. case class CircuitBreakerSettings(closeDuration: FiniteDuration = 3.seconds, errorRateThreshold: Double = 1, historyLength: Int = 10) extends Product with Serializable

   

5. case class DefaultQueue(dispatchHistorySettings: DispatchHistorySettings, defaultWorkSettings: WorkSettings, metricsCollector: MetricsCollector = NoOpMetricsCollector) extends QueueWithoutBackPressure with Product with Serializable

   

6. case class DefaultQueueProcessor(queue: QueueRef, backend: Backend, settings: ProcessingWorkerPoolSettings, metricsCollector: MetricsCollector = NoOpMetricsCollector, resultChecker: ResultChecker) extends QueueProcessor with Product with Serializable

   

   The default queue processor uses the same ResultChecker for all queues

7. case class DispatchHistorySettings(maxHistoryLength: FiniteDuration = 10.seconds, historySampleRate: FiniteDuration = 500.milliseconds) extends Product with Serializable

   

8. case class ProcessingWorkerPoolSettings(startingPoolSize: Int = 5, maxProcessingTime: Option[FiniteDuration] = None, minPoolSize: Int = 3, maxPoolSize: Int = 400) extends Product with Serializable

   
   maxProcessingTime

   timeout for the whole queue to be processed

9. trait Queue extends Actor with ActorLogging with MessageScheduler

   

10. class QueueOfIterator extends QueueWithoutBackPressure

    

11. trait QueueProcessor extends Actor with ActorLogging with MessageScheduler

    

12. type QueueProcessorRef = ActorRef

    

13. case class QueueProcessorWithCircuitBreaker(queue: QueueRef, backend: Backend, settings: ProcessingWorkerPoolSettings, circuitBreakerSettings: CircuitBreakerSettings, metricsCollector: MetricsCollector = NoOpMetricsCollector, resultChecker: ResultChecker) extends QueueProcessor with Product with Serializable

    

14. type QueueRef = ActorRef

    

15. case class QueueWithBackPressure(dispatchHistorySettings: DispatchHistorySettings, backPressureSettings: BackPressureSettings, defaultWorkSettings: WorkSettings = WorkSettings(), metricsCollector: MetricsCollector = NoOpMetricsCollector) extends Queue with Product with Serializable

    

16. trait QueueWithoutBackPressure extends Queue

    

17. case class WorkSettings(retry: Int = 0, timeout: FiniteDuration = 30.seconds, sendResultTo: Option[ActorRef] = None) extends Product with Serializable

    

18. trait Worker extends Actor with ActorLogging with MessageScheduler

    

19. type WorkerRef = ActorRef