org.ballerinalang.util.metrics.noop

Class NoOpSummary

java.lang.Object

org.ballerinalang.util.metrics.AbstractMetric

org.ballerinalang.util.metrics.noop.NoOpSummary

All Implemented Interfaces:

Metric, Summary

public class NoOpSummary
extends AbstractMetric
implements Summary

Implementation of No-Op Summary.

Nested Class Summary

Nested classes/interfaces inherited from interface org.ballerinalang.util.metrics.Summary

Summary.Builder

Constructor Summary

Constructors

Constructor and Description
NoOpSummary(MetricId id)

Method Summary

Modifier and Type	Method and Description
long	count()
double	max()
double	mean()
double	percentile(double percentile)
void	record(double amount) Updates the statistics kept by the summary with the specified amount.

Methods inherited from class org.ballerinalang.util.metrics.AbstractMetric

equals, getId, hashCode

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface org.ballerinalang.util.metrics.Summary

builder

Methods inherited from interface org.ballerinalang.util.metrics.Metric

getId

Constructor Detail

NoOpSummary

public NoOpSummary(MetricId id)

Method Detail

record

public void record(double amount)

Description copied from interface: Summary

Updates the statistics kept by the summary with the specified amount.

Specified by:

record in interface Summary

Parameters:

amount - Amount for an event being measured.

count

public long count()

Specified by:

count in interface Summary

Returns:

The number of times that record has been called since this summary was created.

mean

public double mean()

Specified by:

mean in interface Summary

Returns:

The distribution average for all recorded events.

max

public double max()

Specified by:

max in interface Summary

Returns:

The maximum time of a single event.

percentile

public double percentile(double percentile)

Specified by:

percentile in interface Summary

Parameters:

percentile - A percentile in the domain [0, 1]. For example, 0.5 represents the 50th percentile of the distribution.

Returns:

The value at a specific percentile. This value is non-aggregable across dimensions.