Packages

class AdaptiveSampler extends Sampler

An adaptive sampler tries to balance a global throughput goal across all operations in the current application, making the best possible effort to provide sampled traces from all operations and to satisfy all configured rules.

This sampler divides the task of balancing the load into two phases: rebalancing and adapting. Rebalancing happens every time a new operation is seen by the sampler and splits the overall throughput allocation across all operations seen so far, only taking the configured throughput goal and rules into account. Adapting happens every second and tries to adjust the sampling rate for each individual operation based on the historical behavior of the operation, the target throughput set during rebalance and take advantage of any "unused" throughput by distributing across more active operations.

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Sampler, AnyRef, Any
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Visibility
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  2. Protected

Instance Constructors

  1. new AdaptiveSampler()

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 adapt(): Unit

    Uses the throughput information from all operations to update their sampling probability and optionally boost operations if there is any throughput leftover.

  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  7. def decide(operation: Operation): SamplingDecision

    Decides whether a trace should be sampled or not.

    Decides whether a trace should be sampled or not. The provided SpanBuilder contains the information that has been gathered so far for what will become the root Span for the new Trace.

    Definition Classes
    AdaptiveSampler → Sampler
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable])
  11. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  13. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  14. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  16. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  17. def rebalance(): Unit

    Makes the sampler update its internal state and reassign probabilities to all known operations.

    Makes the sampler update its internal state and reassign probabilities to all known operations. Rebalancing only happens when new operations appear and does not take the actual operation throughput into account to assign the base throughput to each operation.

  18. def reconfigure(newConfig: Config): Unit
  19. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  20. def toString(): String
    Definition Classes
    AnyRef → Any
  21. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  22. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  23. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()

Inherited from Sampler

Inherited from AnyRef

Inherited from Any

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