blob: 1ff00c9253e9f6407b5e81e0560917330d82b383 [file] [log] [blame]
package org.apache.helix.controller.rebalancer.waged.model;
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import org.apache.helix.HelixException;
import org.apache.helix.model.Partition;
import org.apache.helix.model.ResourceAssignment;
/**
* The data model represents the optimal assignment of N replicas assigned to M instances;
* It's mostly used as the return parameter of an assignment calculation algorithm; If the algorithm
* failed to find optimal assignment given the endeavor, the user could check the failure reasons.
* Note that this class is not thread safe.
*/
public class OptimalAssignment {
private Map<String, ResourceAssignment> _optimalAssignment = Collections.emptyMap();
private Map<AssignableReplica, Map<AssignableNode, List<String>>> _failedAssignments =
new HashMap<>();
/**
* Update the OptimalAssignment instance with the existing assignment recorded in the input cluster model.
*
* @param clusterModel
*/
public void updateAssignments(ClusterModel clusterModel) {
Map<String, ResourceAssignment> assignmentMap = new HashMap<>();
for (AssignableNode node : clusterModel.getAssignableNodes().values()) {
for (AssignableReplica replica : node.getAssignedReplicas()) {
String resourceName = replica.getResourceName();
Partition partition = new Partition(replica.getPartitionName());
ResourceAssignment resourceAssignment = assignmentMap
.computeIfAbsent(resourceName, key -> new ResourceAssignment(resourceName));
Map<String, String> partitionStateMap = resourceAssignment.getReplicaMap(partition);
if (partitionStateMap.isEmpty()) {
// ResourceAssignment returns immutable empty map while no such assignment recorded yet.
// So if the returned map is empty, create a new map.
partitionStateMap = new HashMap<>();
}
partitionStateMap.put(node.getInstanceName(), replica.getReplicaState());
resourceAssignment.addReplicaMap(partition, partitionStateMap);
}
}
_optimalAssignment = assignmentMap;
}
/**
* @return The optimal assignment in the form of a <Resource Name, ResourceAssignment> map.
*/
public Map<String, ResourceAssignment> getOptimalResourceAssignment() {
if (hasAnyFailure()) {
throw new HelixException(
"Cannot get the optimal resource assignment since a calculation failure is recorded. "
+ getFailures());
}
return _optimalAssignment;
}
public void recordAssignmentFailure(AssignableReplica replica,
Map<AssignableNode, List<String>> failedReasons) {
_failedAssignments.put(replica, failedReasons);
}
public boolean hasAnyFailure() {
return !_failedAssignments.isEmpty();
}
public String getFailures() {
// TODO: format the error string
return _failedAssignments.toString();
}
}