Package org.apache.kafka.common.metrics.stats

Interface Summary

Interface	Description
Histogram.BinScheme	An algorithm for determining the bin in which a value is to be placed as well as calculating the upper end of each bin.

Class Summary

Class	Description
Avg	A SampledStat that maintains a simple average over its samples.
CumulativeCount	A non-sampled version of WindowedCount maintained over all time.
CumulativeSum	An non-sampled cumulative total maintained over all time.
Frequencies	A CompoundStat that represents a normalized distribution with a Frequency metric for each bucketed value.
Frequency	Definition of a frequency metric used in a Frequencies compound statistic.
Histogram
Histogram.ConstantBinScheme	A scheme for calculating the bins where the width of each bin is a constant determined by the range of values and the number of bins.
Histogram.LinearBinScheme	A scheme for calculating the bins where the width of each bin is one more than the previous bin, and therefore the bin widths are increasing at a linear rate.
Max	A SampledStat that gives the max over its samples.
Meter	A compound stat that includes a rate metric and a cumulative total metric.
Min	A SampledStat that gives the min over its samples.
Percentile
Percentiles	A compound stat that reports one or more percentiles
Rate	The rate of the given quantity.
SampledStat	A SampledStat records a single scalar value measured over one or more samples.
SampledStat.Sample
SimpleRate	A simple rate the rate is incrementally calculated based on the elapsed time between the earliest reading and now.
TokenBucket	The TokenBucket is a MeasurableStat implementing a token bucket algorithm that is usable within a Sensor.
Value	An instantaneous value.
WindowedCount	A SampledStat that maintains a simple count of what it has seen.
WindowedSum	A SampledStat that maintains the sum of what it has seen.

Enum Summary

Enum	Description
Percentiles.BucketSizing