Package net.sf.ehcache.store

Class AbstractPolicy

java.lang.Object

net.sf.ehcache.store.AbstractPolicy

All Implemented Interfaces:

Policy

Direct Known Subclasses:

FifoPolicy, LfuPolicy, LruPolicy

public abstract class AbstractPolicy
extends java.lang.Object
implements Policy

A base policy class

Author:

Greg Luck

Constructor Summary

Constructors

Constructor	Description
AbstractPolicy()

Method Summary

Modifier and Type	Method	Description
static int	calculateSampleSize(int populationSize)	sampleSize how many samples to take
static int[]	generateRandomSample(int populationSize)	Generates a random sample from a population
Element	selectedBasedOnPolicy(Element[] sampledElements, Element justAdded)	Finds the best eviction candidate based on the sampled elements.

Methods inherited from class java.lang.Object

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

Methods inherited from interface net.sf.ehcache.store.Policy

compare, getName

Constructor Detail

AbstractPolicy

public AbstractPolicy()

Method Detail

calculateSampleSize

public static int calculateSampleSize(int populationSize)

sampleSize how many samples to take

Parameters:

populationSize - the size of the store

Returns:

the smaller of the map size and the default sample size of 30

selectedBasedOnPolicy

public Element selectedBasedOnPolicy(Element[] sampledElements,
                                     Element justAdded)

Finds the best eviction candidate based on the sampled elements. What distuingishes this approach from the classic data structures approach, is that an Element contains metadata which can be used for making policy decisions, while generic data structures do not.

Specified by:

selectedBasedOnPolicy in interface Policy

Parameters:

sampledElements - this should be a random subset of the population

justAdded - we never want to select the element just added. May be null.

Returns:

the least hit

generateRandomSample

public static int[] generateRandomSample(int populationSize)

Generates a random sample from a population

Parameters:

populationSize - the size to draw from

Returns:

a list of random offsets