Uses of Class
org.apache.hadoop.hbase.master.balancer.CandidateGenerator

Packages that use CandidateGenerator

Package	Description
org.apache.hadoop.hbase.master.balancer

Uses of CandidateGenerator in org.apache.hadoop.hbase.master.balancer

Subclasses of CandidateGenerator in org.apache.hadoop.hbase.master.balancer

Modifier and Type	Class	Description
private class	CacheAwareLoadBalancer.CacheAwareCandidateGenerator
private class	CacheAwareLoadBalancer.CacheAwareSkewnessCandidateGenerator
(package private) class	FavoredStochasticBalancer.FavoredNodeLoadPicker
private class	FavoredStochasticBalancer.FavoredNodeLocalityPicker	Pick favored nodes with the highest locality for a region with lowest locality.
(package private) class	LoadCandidateGenerator
(package private) class	LocalityBasedCandidateGenerator
(package private) class	RandomCandidateGenerator
(package private) class	RegionReplicaCandidateGenerator	Generates candidates which moves the replicas out of the region server for co-hosted region replicas
(package private) class	RegionReplicaRackCandidateGenerator	Generates candidates which moves the replicas out of the rack for co-hosted region replicas in the same rack

Fields in org.apache.hadoop.hbase.master.balancer with type parameters of type CandidateGenerator

Modifier and Type	Field	Description
protected Map<Class<? extends CandidateGenerator>,CandidateGenerator>	StochasticLoadBalancer.candidateGenerators
protected Map<Class<? extends CandidateGenerator>,CandidateGenerator>	StochasticLoadBalancer.candidateGenerators
protected final Supplier<List<Class<? extends CandidateGenerator>>>	StochasticLoadBalancer.shuffledGeneratorClasses
private final Map<Class<? extends CandidateGenerator>,Double>	StochasticLoadBalancer.weightsOfGenerators

Methods in org.apache.hadoop.hbase.master.balancer that return CandidateGenerator

Modifier and Type	Method	Description
protected CandidateGenerator	FavoredStochasticBalancer.getRandomGenerator()	Returns any candidate generator in random
protected CandidateGenerator	StochasticLoadBalancer.getRandomGenerator()	Select the candidate generator to use based on the cost of cost functions.
private CandidateGenerator	StochasticLoadBalancer.pickAnyGenerator(List<Class<? extends CandidateGenerator>> generatorClasses)

Methods in org.apache.hadoop.hbase.master.balancer that return types with arguments of type CandidateGenerator

Modifier and Type	Method	Description
protected Map<Class<? extends CandidateGenerator>,CandidateGenerator>	CacheAwareLoadBalancer.createCandidateGenerators()
protected Map<Class<? extends CandidateGenerator>,CandidateGenerator>	CacheAwareLoadBalancer.createCandidateGenerators()
protected Map<Class<? extends CandidateGenerator>,CandidateGenerator>	FavoredStochasticBalancer.createCandidateGenerators()
protected Map<Class<? extends CandidateGenerator>,CandidateGenerator>	FavoredStochasticBalancer.createCandidateGenerators()
protected Map<Class<? extends CandidateGenerator>,CandidateGenerator>	StochasticLoadBalancer.createCandidateGenerators()
protected Map<Class<? extends CandidateGenerator>,CandidateGenerator>	StochasticLoadBalancer.createCandidateGenerators()
(package private) Map<Class<? extends CandidateGenerator>,CandidateGenerator>	StochasticLoadBalancer.getCandidateGenerators()
(package private) Map<Class<? extends CandidateGenerator>,CandidateGenerator>	StochasticLoadBalancer.getCandidateGenerators()
(package private) Pair<CandidateGenerator,BalanceAction>	StochasticLoadBalancer.nextAction(BalancerClusterState cluster)

Method parameters in org.apache.hadoop.hbase.master.balancer with type arguments of type CandidateGenerator

Modifier and Type	Method	Description
private CandidateGenerator	StochasticLoadBalancer.pickAnyGenerator(List<Class<? extends CandidateGenerator>> generatorClasses)
void	CacheAwareLoadBalancer.CacheAwareCostFunction.updateWeight(Map<Class<? extends CandidateGenerator>,Double> weights)
final void	CacheAwareLoadBalancer.CacheAwareRegionSkewnessCostFunction.updateWeight(Map<Class<? extends CandidateGenerator>,Double> weights)
void	CostFunction.updateWeight(Map<Class<? extends CandidateGenerator>,Double> weights)	Add the cost of this cost function to the weight of the candidate generator that is optimized for this cost function.
final void	LocalityBasedCostFunction.updateWeight(Map<Class<? extends CandidateGenerator>,Double> weights)
final void	RegionCountSkewCostFunction.updateWeight(Map<Class<? extends CandidateGenerator>,Double> weights)
final void	RegionReplicaGroupingCostFunction.updateWeight(Map<Class<? extends CandidateGenerator>,Double> weights)