| Package | Description |
|---|---|
| org.apache.hadoop.hbase.favored | |
| org.apache.hadoop.hbase.master | |
| org.apache.hadoop.hbase.master.balancer |
| Modifier and Type | Method and Description |
|---|---|
protected List<RegionPlan> |
FavoredNodeLoadBalancer.balanceTable(TableName tableName,
Map<ServerName,List<RegionInfo>> loadOfOneTable) |
| Modifier and Type | Method and Description |
|---|---|
List<RegionPlan> |
LoadBalancer.balanceCluster(Map<TableName,Map<ServerName,List<RegionInfo>>> loadOfAllTable)
Perform the major balance operation for cluster.
|
| Modifier and Type | Method and Description |
|---|---|
int |
RegionPlan.RegionPlanComparator.compare(RegionPlan l,
RegionPlan r) |
int |
RegionPlan.compareTo(RegionPlan other)
Compare the region info.
|
| Modifier and Type | Method and Description |
|---|---|
List<RegionPlan> |
BaseLoadBalancer.balanceCluster(Map<TableName,Map<ServerName,List<RegionInfo>>> loadOfAllTable)
Perform the major balance operation for cluster, will invoke
BaseLoadBalancer.balanceTable(TableName, Map) to do actual balance. |
protected List<RegionPlan> |
SimpleLoadBalancer.balanceTable(TableName tableName,
Map<ServerName,List<RegionInfo>> loadOfOneTable)
Generate a global load balancing plan according to the specified map of server information to
the most loaded regions of each server.
|
protected abstract List<RegionPlan> |
BaseLoadBalancer.balanceTable(TableName tableName,
Map<ServerName,List<RegionInfo>> loadOfOneTable)
Perform the major balance operation for table, all sub classes should override this method.
|
protected List<RegionPlan> |
StochasticLoadBalancer.balanceTable(TableName tableName,
Map<ServerName,List<RegionInfo>> loadOfOneTable)
Given the cluster state this will try and approach an optimal balance.
|
protected List<RegionPlan> |
FavoredStochasticBalancer.balanceTable(TableName tableName,
Map<ServerName,List<RegionInfo>> loadOfOneTable)
For all regions correctly assigned to favored nodes, we just use the stochastic balancer
implementation.
|
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