Package org.apache.hadoop.metrics2.util

@Public @Evolving package org.apache.hadoop.metrics2.util

General helpers for implementing source and sinks

Related Packages

Package	Description
org.apache.hadoop.metrics2	Metrics 2.0
org.apache.hadoop.metrics2.annotation	Annotation interfaces for metrics instrumentation
org.apache.hadoop.metrics2.filter	Builtin metrics filters (to be used in metrics config files)
org.apache.hadoop.metrics2.lib	A collection of library classes for implementing metrics sources
org.apache.hadoop.metrics2.sink	Builtin metrics sinks
org.apache.hadoop.metrics2.source

Class	Description
org.apache.hadoop.metrics2.util.Contracts	Additional helpers (besides guava Preconditions) for programming by contract
MBeans	This util class provides a method to register an MBean using our standard naming convention as described in the doc for {link MBeans.register(String, String, Object).
org.apache.hadoop.metrics2.util.Metrics2Util	Utility class to simplify creation of hadoop metrics2 source/sink.
org.apache.hadoop.metrics2.util.Metrics2Util.NameValuePair	A pair of a name and its corresponding value.
org.apache.hadoop.metrics2.util.Metrics2Util.TopN	A fixed-size priority queue, used to retrieve top-n of offered entries.
MetricsCache	A metrics cache for sinks that don't support sparse updates.
org.apache.hadoop.metrics2.util.MetricsCache.Record	Cached record
org.apache.hadoop.metrics2.util.Quantile	Specifies a quantile (with error bounds) to be watched by a SampleQuantiles object.
org.apache.hadoop.metrics2.util.QuantileEstimator
org.apache.hadoop.metrics2.util.SampleQuantiles	Implementation of the Cormode, Korn, Muthukrishnan, and Srivastava algorithm for streaming calculation of targeted high-percentile epsilon-approximate quantiles.
org.apache.hadoop.metrics2.util.SampleStat	Helper to compute running sample stats
org.apache.hadoop.metrics2.util.SampleStat.MinMax	Helper to keep running min/max
Servers	Helpers to handle server addresses